2626991
F6MU4YF5
universite-de-sherbrooke-departement-de-geomatique
50
date
desc
1
title
86
https://grimp.ca/wp-content/plugins/zotpress/
%7B%22status%22%3A%22success%22%2C%22updateneeded%22%3Afalse%2C%22instance%22%3A%22zotpress-e7150330f70da87e4749af54f295f073%22%2C%22meta%22%3A%7B%22request_last%22%3A50%2C%22request_next%22%3A50%2C%22used_cache%22%3Atrue%7D%2C%22data%22%3A%5B%7B%22key%22%3A%22A3I8CU5Y%22%2C%22library%22%3A%7B%22id%22%3A2626991%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Kramer%20et%20al.%22%2C%22parsedDate%22%3A%222023%22%2C%22numChildren%22%3A0%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%202%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%5C%22%3E%5Cn%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%3EKramer%2C%20D.%2C%20Langlois%2C%20A.%2C%20Royer%2C%20A.%2C%20Madore%2C%20J.-B.%2C%20King%2C%20J.%2C%20McLennan%2C%20D.%20et%20Boisvert-Vigneault%2C%20%5Cu00c9.%20%282023%29%20%3Ca%20target%3D%27_blank%27%20href%3D%27https%3A%5C%2F%5C%2Flinkinghub.elsevier.com%5C%2Fretrieve%5C%2Fpii%5C%2FS0165232X22002026%27%3EAssessment%20of%20Arctic%20snow%20stratigraphy%20and%20water%20equivalent%20using%20a%20portable%20Frequency%20Modulated%20Continuous%20Wave%20RADAR%3C%5C%2Fa%3E.%20Cold%20Regions%20Science%20and%20Technology%2C%20vol.%20205%2C%20p.%20103683.%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Assessment%20of%20Arctic%20snow%20stratigraphy%20and%20water%20equivalent%20using%20a%20portable%20Frequency%20Modulated%20Continuous%20Wave%20RADAR%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Daniel%22%2C%22lastName%22%3A%22Kramer%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Alexandre%22%2C%22lastName%22%3A%22Langlois%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Alain%22%2C%22lastName%22%3A%22Royer%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Jean-Beno%5Cu00eet%22%2C%22lastName%22%3A%22Madore%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Joshua%22%2C%22lastName%22%3A%22King%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Donald%22%2C%22lastName%22%3A%22McLennan%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22%5Cu00c9rika%22%2C%22lastName%22%3A%22Boisvert-Vigneault%22%7D%5D%2C%22abstractNote%22%3A%22%22%2C%22date%22%3A%2201%5C%2F2023%22%2C%22language%22%3A%22en%22%2C%22DOI%22%3A%2210.1016%5C%2Fj.coldregions.2022.103683%22%2C%22ISSN%22%3A%220165232X%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Flinkinghub.elsevier.com%5C%2Fretrieve%5C%2Fpii%5C%2FS0165232X22002026%22%2C%22collections%22%3A%5B%22F6MU4YF5%22%5D%2C%22dateModified%22%3A%222022-10-18T17%3A54%3A05Z%22%7D%7D%2C%7B%22key%22%3A%22UKSNFG8U%22%2C%22library%22%3A%7B%22id%22%3A2626991%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Meloche%20et%20al.%22%2C%22parsedDate%22%3A%222022%22%2C%22numChildren%22%3A0%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%202%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%5C%22%3E%5Cn%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%3EMeloche%2C%20J.%2C%20Langlois%2C%20A.%2C%20Rutter%2C%20N.%2C%20McLennan%2C%20D.%2C%20Royer%2C%20A.%2C%20Billecocq%2C%20P.%20et%20Ponomarenko%2C%20S.%20%282022%29%20%3Ca%20target%3D%27_blank%27%20href%3D%27https%3A%5C%2F%5C%2Fonlinelibrary.wiley.com%5C%2Fdoi%5C%2F10.1002%5C%2Fhyp.14546%27%3EHigh%5Cu2010resolution%20snow%20depth%20prediction%20using%20Random%20Forest%20algorithm%20with%20topographic%20parameters%3A%20A%20case%20study%20in%20the%20Greiner%20watershed%2C%20Nunavut%3C%5C%2Fa%3E.%20Hydrological%20Processes%2C%20vol.%2036%2C%20n%5Cu00b03.%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22High%5Cu2010resolution%20snow%20depth%20prediction%20using%20Random%20Forest%20algorithm%20with%20topographic%20parameters%3A%20A%20case%20study%20in%20the%20Greiner%20watershed%2C%20Nunavut%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Julien%22%2C%22lastName%22%3A%22Meloche%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Alexandre%22%2C%22lastName%22%3A%22Langlois%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Nick%22%2C%22lastName%22%3A%22Rutter%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Donald%22%2C%22lastName%22%3A%22McLennan%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Alain%22%2C%22lastName%22%3A%22Royer%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Paul%22%2C%22lastName%22%3A%22Billecocq%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Serguei%22%2C%22lastName%22%3A%22Ponomarenko%22%7D%5D%2C%22abstractNote%22%3A%22%22%2C%22date%22%3A%2203%5C%2F2022%22%2C%22language%22%3A%22en%22%2C%22DOI%22%3A%2210.1002%5C%2Fhyp.14546%22%2C%22ISSN%22%3A%220885-6087%2C%201099-1085%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Fonlinelibrary.wiley.com%5C%2Fdoi%5C%2F10.1002%5C%2Fhyp.14546%22%2C%22collections%22%3A%5B%22F6MU4YF5%22%5D%2C%22dateModified%22%3A%222022-10-18T17%3A52%3A26Z%22%7D%7D%2C%7B%22key%22%3A%22ZT73TESG%22%2C%22library%22%3A%7B%22id%22%3A2626991%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Madore%20et%20al.%22%2C%22parsedDate%22%3A%222022%22%2C%22numChildren%22%3A0%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%202%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%5C%22%3E%5Cn%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%3EMadore%2C%20J.-B.%2C%20Fierz%2C%20C.%20et%20Langlois%2C%20A.%20%282022%29%20%3Ca%20target%3D%27_blank%27%20href%3D%27https%3A%5C%2F%5C%2Fwww.frontiersin.org%5C%2Farticles%5C%2F10.3389%5C%2Ffeart.2022.898980%5C%2Ffull%27%3EInvestigation%20into%20percolation%20and%20liquid%20water%20content%20in%20a%20multi-layered%20snow%20model%20for%20wet%20snow%20instabilities%20in%20Glacier%20National%20Park%2C%20Canada%3C%5C%2Fa%3E.%20Frontiers%20in%20Earth%20Science%2C%20vol.%2010%2C%20p.%20898980.%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Investigation%20into%20percolation%20and%20liquid%20water%20content%20in%20a%20multi-layered%20snow%20model%20for%20wet%20snow%20instabilities%20in%20Glacier%20National%20Park%2C%20Canada%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22J-B.%22%2C%22lastName%22%3A%22Madore%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22C.%22%2C%22lastName%22%3A%22Fierz%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22A.%22%2C%22lastName%22%3A%22Langlois%22%7D%5D%2C%22abstractNote%22%3A%22Water%20percolation%20in%20snow%20plays%20a%20crucial%20role%20in%20the%20avalanche%20risk%20assessment.%20Liquid%20water%20content%20and%20wetting%20front%20are%20hard%20to%20measure%20in%20the%20field%3B%20hence%2C%20accurate%20simulation%20of%20the%20phenomena%20can%20be%20of%20great%20help%20to%20forecasters.%20This%20study%20was%20the%20first%20to%20evaluate%20water%20percolation%20simulations%20with%20the%20SNOWPACK%20model%20using%20Richards%5Cu2019%20scheme%20on%20Mount%20Fidelity%2C%20Glacier%20National%20Park%2C%20Canada.%20The%20study%20highlights%20that%2C%20at%20this%20site%2C%20an%20updated%20configuration%20on%20precipitation%20phase%20transition%20and%20new%20snow%20density%20can%20significantly%20improve%20simulations%20of%20the%20snow%20cover%2C%20and%20water%20percolation%20in%20particular%2C%20which%20can%20be%20relevant%20in%20an%20era%20of%20an%20increased%20occurrence%20of%20rain-on-snow%20%28ROS%29%20events.%20More%20specifically%2C%20emphasis%20was%20put%20on%20the%20quality%20of%20the%20input%20data%20and%20parameters.%20The%20analysis%20of%20the%20precipitation%20phase%20temperature%20threshold%20showed%20that%20a%20value%20of%201.4%5Cu00b0C%20was%20the%20best%20suited%20to%20track%20the%20rain%5C%2Fsnow%20transition%20on%20site.%20A%2010-year%20analysis%20of%2024-h%20precipitation%20measured%20using%20the%20rain%20gauge%20and%2024-h%20new%20snow%20water%20equivalent%20showed%20an%20excellent%20correlation.%20New%20snow%20density%20sub-models%20were%20evaluated%20using%20the%2024-h%20new%20snow%20density%20values%20taken%20by%20the%20park%20technicians.%20The%20BELLAIRE%20model%20performed%20best%20and%20was%20used%20to%20drive%20the%20snow%20simulations.%20Two%20SNOWPACK%20snow%20simulations%20were%20evaluated%20using%201%29%20rain%20gauge%20precipitation%20amount%20%28PCPM%29%20and%202%29%20automatic%20snow%20height%20measurement%20%28HS%29%20at%20the%20same%20site.%20Both%20runs%20simulated%20the%20main%20snowpack%20layers%20observed%20during%20the%20dry%20season%20%28i.e.%2C%20before%20spring%20percolation%20was%20observed%29%2C%20and%20both%20simulated%20the%20snow%20properties%20with%20good%20accuracy.%20The%20water%20equivalent%20of%20snow%20cover%2C%20used%20as%20a%20proxy%20for%20a%20first-order%20characterization%20of%20the%20simulations%20generated%20by%20both%20simulations%2C%20was%20slightly%20underestimated%20compared%20with%20four%20manual%20measurements%20taken%20on-site%20during%20the%20winter.%20Nevertheless%2C%20the%20comparison%20of%20both%20measured%20density%20and%20modeled%20bulk%20density%20showed%20great%20correspondence.%20The%20percolation%20timing%20and%20wetting%20front%20depth%20were%20evaluated%20using%20field%20measurements%20from%20field%20campaigns%20and%20continuous%20observations%20from%20on-site%20instruments.%20The%20main%20percolation%20events%20were%20correctly%20simulated%20and%20were%20coincident%20with%20the%20observed%20wet%20avalanche%20cycles.%20The%20results%20highlight%20the%20need%20for%20accurate%20input%20data%20on%20valid%20simulation%20of%20the%20wetting%20front%20and%20percolation%20timing%20on%20site.%20Good%20percolation%20information%20generated%20using%20the%20SNOWPACK%20model%20and%20Richards%5Cu2019%20scheme%20could%20be%20used%20to%20assess%20the%20snowpack%20stability%20by%20forecasters%20in%20areas%20where%20such%20data%20are%20available.%22%2C%22date%22%3A%222022%22%2C%22language%22%3A%22%22%2C%22DOI%22%3A%2210.3389%5C%2Ffeart.2022.898980%22%2C%22ISSN%22%3A%222296-6463%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Fwww.frontiersin.org%5C%2Farticles%5C%2F10.3389%5C%2Ffeart.2022.898980%5C%2Ffull%22%2C%22collections%22%3A%5B%22F6MU4YF5%22%5D%2C%22dateModified%22%3A%222022-11-24T02%3A25%3A08Z%22%7D%7D%2C%7B%22key%22%3A%22EIZQK4DA%22%2C%22library%22%3A%7B%22id%22%3A2626991%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Lalibert%5Cu00e9%20et%20al.%22%2C%22parsedDate%22%3A%222022%22%2C%22numChildren%22%3A0%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%202%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%5C%22%3E%5Cn%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%3ELalibert%5Cu00e9%2C%20J.%2C%20Langlois%2C%20A.%2C%20Royer%2C%20a%2C%20Madore%2C%20J.-B.%20et%20Gauthier%2C%20F.%20%282022%29%20%3Ca%20target%3D%27_blank%27%20href%3D%27https%3A%5C%2F%5C%2Fwww.tandfonline.com%5C%2Fdoi%5C%2Ffull%5C%2F10.1080%5C%2F02723646.2021.2008104%27%3ERetrieving%20dry%20snow%20stratigraphy%20using%20a%20versatile%20low-cost%20frequency%20modulated%20continuous%20wave%20%28FMCW%29%20K-band%20radar%3C%5C%2Fa%3E.%20Physical%20Geography%2C%20vol.%2043%2C%20n%5Cu00b03%2C%20p.%20308%5Cu2011332.%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Retrieving%20dry%20snow%20stratigraphy%20using%20a%20versatile%20low-cost%20frequency%20modulated%20continuous%20wave%20%28FMCW%29%20K-band%20radar%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Jacob%22%2C%22lastName%22%3A%22Lalibert%5Cu00e9%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22A.%22%2C%22lastName%22%3A%22Langlois%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22a%22%2C%22lastName%22%3A%22Royer%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22J-B%22%2C%22lastName%22%3A%22Madore%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22F%22%2C%22lastName%22%3A%22Gauthier%22%7D%5D%2C%22abstractNote%22%3A%22%22%2C%22date%22%3A%222022%22%2C%22language%22%3A%22en%22%2C%22DOI%22%3A%2210.1080%5C%2F02723646.2021.2008104%22%2C%22ISSN%22%3A%220272-3646%2C%201930-0557%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Fwww.tandfonline.com%5C%2Fdoi%5C%2Ffull%5C%2F10.1080%5C%2F02723646.2021.2008104%22%2C%22collections%22%3A%5B%22F6MU4YF5%22%5D%2C%22dateModified%22%3A%222022-10-18T18%3A50%3A31Z%22%7D%7D%2C%7B%22key%22%3A%22AB8QXWR9%22%2C%22library%22%3A%7B%22id%22%3A2626991%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Gautier%20et%20al.%22%2C%22parsedDate%22%3A%222022%22%2C%22numChildren%22%3A0%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%202%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%5C%22%3E%5Cn%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%3EGautier%2C%20C.%2C%20Langlois%2C%20A.%2C%20Sasseville%2C%20V.%2C%20Neave%2C%20E.%20et%20Johnson%2C%20C.%20A.%20%282022%29%20%3Ca%20target%3D%27_blank%27%20href%3D%27https%3A%5C%2F%5C%2Fpolarresearch.net%5C%2Findex.php%5C%2Fpolar%5C%2Farticle%5C%2Fview%5C%2F7964%27%3ERemote%20sensing%2C%20snow%20modelling%2C%20survey%20data%20and%20Indigenous%20Knowledge%20show%20how%20snow%20and%20sea-ice%20conditions%20affect%20Peary%20caribou%20%28Rangifer%20tarandus%20pearyi%29%20distribution%20and%20inter-island%20and%20island%5Cu2013mainland%20movements%3C%5C%2Fa%3E.%20Polar%20Research%2C%20vol.%2041.%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Remote%20sensing%2C%20snow%20modelling%2C%20survey%20data%20and%20Indigenous%20Knowledge%20show%20how%20snow%20and%20sea-ice%20conditions%20affect%20Peary%20caribou%20%28Rangifer%20tarandus%20pearyi%29%20distribution%20and%20inter-island%20and%20island%5Cu2013mainland%20movements%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Coralie%22%2C%22lastName%22%3A%22Gautier%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Alexandre%22%2C%22lastName%22%3A%22Langlois%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Vincent%22%2C%22lastName%22%3A%22Sasseville%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Erin%22%2C%22lastName%22%3A%22Neave%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Cheryl%20Ann%22%2C%22lastName%22%3A%22Johnson%22%7D%5D%2C%22abstractNote%22%3A%22%22%2C%22date%22%3A%222022%22%2C%22language%22%3A%22%22%2C%22DOI%22%3A%2210.33265%5C%2Fpolar.v41.7964%22%2C%22ISSN%22%3A%220800-0395%2C%201751-8369%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Fpolarresearch.net%5C%2Findex.php%5C%2Fpolar%5C%2Farticle%5C%2Fview%5C%2F7964%22%2C%22collections%22%3A%5B%22F6MU4YF5%22%5D%2C%22dateModified%22%3A%222022-10-18T18%3A50%3A56Z%22%7D%7D%2C%7B%22key%22%3A%22I5X3RE3H%22%2C%22library%22%3A%7B%22id%22%3A2626991%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Voglimacci-Stephanopoli%20et%20al.%22%2C%22parsedDate%22%3A%222022%22%2C%22numChildren%22%3A0%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%202%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%5C%22%3E%5Cn%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%3EVoglimacci-Stephanopoli%2C%20J.%2C%20Wendleder%2C%20A.%2C%20Lantuit%2C%20H.%2C%20Langlois%2C%20A.%2C%20Stettner%2C%20S.%2C%20Schmitt%2C%20A.%2C%20Dedieu%2C%20J.-P.%2C%20Roth%2C%20A.%20et%20Royer%2C%20A.%20%282022%29%20%3Ca%20target%3D%27_blank%27%20href%3D%27https%3A%5C%2F%5C%2Ftc.copernicus.org%5C%2Farticles%5C%2F16%5C%2F2163%5C%2F2022%5C%2F%27%3EPotential%20of%20X-band%20polarimetric%20synthetic%20aperture%20radar%20co-polar%20phase%20difference%20for%20arctic%20snow%20depth%20estimation%3C%5C%2Fa%3E.%20The%20Cryosphere%2C%20vol.%2016%2C%20n%5Cu00b06%2C%20p.%202163%5Cu20112181.%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Potential%20of%20X-band%20polarimetric%20synthetic%20aperture%20radar%20co-polar%20phase%20difference%20for%20arctic%20snow%20depth%20estimation%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Jo%5Cu00eblle%22%2C%22lastName%22%3A%22Voglimacci-Stephanopoli%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Anna%22%2C%22lastName%22%3A%22Wendleder%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Hugues%22%2C%22lastName%22%3A%22Lantuit%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Alexandre%22%2C%22lastName%22%3A%22Langlois%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Samuel%22%2C%22lastName%22%3A%22Stettner%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Andreas%22%2C%22lastName%22%3A%22Schmitt%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Jean-Pierre%22%2C%22lastName%22%3A%22Dedieu%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Achim%22%2C%22lastName%22%3A%22Roth%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Alain%22%2C%22lastName%22%3A%22Royer%22%7D%5D%2C%22abstractNote%22%3A%22Abstract.%20Changes%20in%20snowpack%20associated%20with%20climatic%20warming%20has%20drastic%5Cnimpacts%20on%20surface%20energy%20balance%20in%20the%20cryosphere.%20Yet%2C%20traditional%5Cnmonitoring%20techniques%2C%20such%20as%20punctual%20measurements%20in%20the%20field%2C%20do%20not%5Cncover%20the%20full%20snowpack%20spatial%20and%20temporal%20variability%2C%20which%20hampers%5Cnefforts%20to%20upscale%20measurements%20to%20the%20global%20scale.%20This%20variability%20is%20one%5Cnof%20the%20primary%20constraints%20in%20model%20development.%20In%20terms%20of%20spatial%5Cnresolution%2C%20active%20microwaves%20%28synthetic%20aperture%20radar%20%5Cu2013%20SAR%29%20can%20address%5Cnthe%20issue%20and%20outperform%20methods%20based%20on%20passive%20microwaves.%20Thus%2C%20high-spatial-resolution%20monitoring%20of%20snow%20depth%20%28SD%29%20would%20allow%20for%20better%5Cnparameterization%20of%20local%20processes%20that%20drive%20the%20spatial%20variability%20of%5Cnsnow.%20The%20overall%20objective%20of%20this%20study%20is%20to%20evaluate%20the%20potential%20of%5Cnthe%20TerraSAR-X%20%28TSX%29%20SAR%20sensor%20and%20the%20wave%20co-polar%20phase%20difference%20%28CPD%29%5Cnmethod%20for%20characterizing%20snow%20cover%20at%20high%20spatial%20resolution.%5CnConsequently%2C%20we%20first%20%281%29%5Cu00a0investigate%20SD%20and%20depth%20hoar%20fraction%20%28DHF%29%5Cnvariability%20between%20different%20vegetation%20classes%20in%20the%20Ice%20Creek%20catchment%5Cn%28Qikiqtaruk%5C%2FHerschel%20Island%2C%20Yukon%2C%20Canada%29%20using%20in%20situ%20measurements%5Cncollected%20over%20the%20course%20of%20a%20field%20campaign%20in%202019%3B%20%282%29%5Cu00a0evaluate%20linkages%5Cnbetween%20snow%20characteristics%20and%20CPD%20distribution%20over%20the%202019%20dataset%3B%20and%20%283%29%5Cu00a0determine%20CPD%20seasonality%20considering%20meteorological%20data%20over%20the%202015%5Cu20132019%5Cnperiod.%20SD%20could%20be%20extracted%20using%20the%20CPD%20when%20certain%5Cnconditions%20are%20met.%20A%20high%20incidence%20angle%20%28%3E30%5Cu2218%29%5Cnwith%20a%20high%20topographic%20wetness%20index%20%28TWI%29%20%28%3E7.0%29%20showed%5Cncorrelation%20between%20SD%20and%20CPD%20%28R2%20up%20to%200.72%29.%20Further%2C%20future%20work%5Cnshould%20address%20a%20threshold%20of%20sensitivity%20to%20TWI%20and%20incidence%20angle%20to%20map%5Cnsnow%20depth%20in%20such%20environments%20and%20assess%20the%20potential%20of%20using%5Cninterpolation%20tools%20to%20fill%20in%20gaps%20in%20SD%20information%20on%20drier%20vegetation%5Cntypes.%22%2C%22date%22%3A%222022%22%2C%22language%22%3A%22en%22%2C%22DOI%22%3A%2210.5194%5C%2Ftc-16-2163-2022%22%2C%22ISSN%22%3A%221994-0424%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Ftc.copernicus.org%5C%2Farticles%5C%2F16%5C%2F2163%5C%2F2022%5C%2F%22%2C%22collections%22%3A%5B%22F6MU4YF5%22%5D%2C%22dateModified%22%3A%222022-10-18T18%3A50%3A49Z%22%7D%7D%2C%7B%22key%22%3A%22HWIRFENZ%22%2C%22library%22%3A%7B%22id%22%3A2626991%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Martineau%20et%20al.%22%2C%22parsedDate%22%3A%222022%22%2C%22numChildren%22%3A0%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%202%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%5C%22%3E%5Cn%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%3EMartineau%2C%20C.%2C%20Langlois%2C%20A.%2C%20Gouttevin%2C%20I.%2C%20Neave%2C%20E.%20et%20Johnson%2C%20C.%20A.%20%282022%29%20%3Ca%20target%3D%27_blank%27%20href%3D%27https%3A%5C%2F%5C%2Fjournalhosting.ucalgary.ca%5C%2Findex.php%5C%2Farctic%5C%2Farticle%5C%2Fview%5C%2F74868%27%3EImproving%20Peary%20Caribou%20Presence%20Predictions%20in%20MaxEnt%20Using%20Spatialized%20Snow%20Simulations%3C%5C%2Fa%3E.%20ARCTIC%2C%20vol.%2075%2C%20n%5Cu00b01%2C%20p.%2055%5Cu201171.%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Improving%20Peary%20Caribou%20Presence%20Predictions%20in%20MaxEnt%20Using%20Spatialized%20Snow%20Simulations%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Chlo%5Cu00e9%22%2C%22lastName%22%3A%22Martineau%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Alexandre%22%2C%22lastName%22%3A%22Langlois%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Isabelle%22%2C%22lastName%22%3A%22Gouttevin%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Erin%22%2C%22lastName%22%3A%22Neave%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Cheryl%20A.%22%2C%22lastName%22%3A%22Johnson%22%7D%5D%2C%22abstractNote%22%3A%22The%20Arctic%20has%20warmed%20at%20twice%20the%20global%20average%20over%20recent%20decades%2C%20which%20has%20led%20to%20a%20reduction%20in%20the%20spatial%20extent%20and%20mass%20balance%20of%20snow.%20The%20increase%20in%20occurrence%20of%20winter%20extreme%20events%20such%20as%20rain-on-snow%2C%20blizzards%2C%20and%20heat%20waves%20has%20a%20significant%20impact%20on%20snow%20thickness%20and%20density.%20Dense%20snowpack%20conditions%20can%20decrease%20or%20completely%20prevent%20foraging%20by%20Peary%20caribou%20%28Rangifer%20tarandus%20pearyi%29%20by%20creating%20%5Cu201clocked%20pastures%2C%5Cu201d%20a%20situation%20where%20forage%20is%20present%20but%20not%20accessible%20under%20snow%20or%20ice.%20Prolonged%20and%20severe%20weather%20events%20have%20been%20linked%20to%20poor%20body%20condition%2C%20malnutrition%2C%20high%20adult%20mortality%2C%20calf%20losses%2C%20and%20major%20population%20die-offs%20in%20Peary%20caribou.%20Previous%20work%20has%20established%20the%20link%20between%20declines%20in%20Peary%20caribou%20numbers%20in%20the%20Canadian%20Arctic%20Archipelago%20and%20snow%20conditions%2C%20however%20these%20efforts%20have%20been%20limited%20by%20the%20quality%20and%20resolution%20of%20data%20describing%20snow%20physical%20properties%20in%20the%20Arctic.%20Here%2C%20we%201%29%20investigate%20whether%20a%20snow%20model%20adapted%20for%20the%20Antarctic%20%28SNOWPACK%29%20can%20produce%20snow%20simulations%20relevant%20to%20Canadian%20High%20Arctic%20conditions%2C%20and%202%29%20test%20snow%20model%20outputs%20to%20determine%20their%20utility%20in%20predicting%20Peary%20caribou%20occurrence%20with%20MaxEnt%20modelling%20software.%20We%20model%20Peary%20caribou%20occurrence%20across%20three%20seasons%3A%20July%20%5Cu2013%20October%20%28summer%20forage%20and%20rut%29%2C%20November%20%5Cu2013%20March%20%28fall%20movement%20and%20winter%20forage%29%2C%20and%20April%20%5Cu2013%20June%20%28spring%20movement%20and%20calving%29.%20Results%20of%20snow%20simulations%20using%20the%20Antarctic%20SNOWPACK%20model%20demonstrated%20that%20both%20top%20and%20bottom%20density%20values%20were%20greatly%20improved%20when%20compared%20to%20simulations%20using%20the%20original%20version%20developed%20for%20alpine%20conditions.%20Results%20were%20also%20more%20consistent%20with%20field%20measurements%20using%20the%20Antarctic%20model%2C%20though%20it%20underestimated%20the%20top%20layer%20density%20compared%20to%20on-site%20measurements.%20Modelled%20outputs%20including%20snow%20depth%20and%20CT350%20%28cumulative%20thickness%20of%20snow%20layers%20surpassing%20the%20critical%20density%20value%20of%20350%20kg%5Cu0387m-3%3B%20a%20density%20threshold%20relevant%20to%20caribou%29%20proved%20to%20be%20important%20predictors%20of%20Peary%20caribou%20space%20use%20in%20each%20of%20the%20top%20seasonal%20models%20along%20with%20vegetation%20and%20elevation.%20All%20seasonal%20models%20were%20robust%20in%20that%20they%20were%20able%20to%20predict%20reasonably%20well%20the%20occurrence%20of%20Peary%20caribou%20outside%20the%20period%20used%20to%20develop%20the%20models.%20This%20work%20highlights%20the%20need%20for%20continued%20monitoring%20of%20snow%20conditions%20with%20climate%20change%20to%20understand%20potential%20impacts%20to%20the%20species%5Cu2019%20distribution.%22%2C%22date%22%3A%222022%22%2C%22language%22%3A%22%22%2C%22DOI%22%3A%2210.14430%5C%2Farctic74868%22%2C%22ISSN%22%3A%221923-1245%2C%200004-0843%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Fjournalhosting.ucalgary.ca%5C%2Findex.php%5C%2Farctic%5C%2Farticle%5C%2Fview%5C%2F74868%22%2C%22collections%22%3A%5B%22F6MU4YF5%22%5D%2C%22dateModified%22%3A%222022-10-18T18%3A50%3A53Z%22%7D%7D%2C%7B%22key%22%3A%22UEAW5LDM%22%2C%22library%22%3A%7B%22id%22%3A2626991%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Meloche%20et%20al.%22%2C%22parsedDate%22%3A%222022%22%2C%22numChildren%22%3A0%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%202%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%5C%22%3E%5Cn%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%3EMeloche%2C%20J.%2C%20Langlois%2C%20A.%2C%20Rutter%2C%20N.%2C%20Royer%2C%20A.%2C%20King%2C%20J.%2C%20Walker%2C%20B.%2C%20Marsh%2C%20P.%20et%20Wilcox%2C%20E.%20J.%20%282022%29%20%3Ca%20target%3D%27_blank%27%20href%3D%27https%3A%5C%2F%5C%2Ftc.copernicus.org%5C%2Farticles%5C%2F16%5C%2F87%5C%2F2022%5C%2F%27%3ECharacterizing%20tundra%20snow%20sub-pixel%20variability%20to%20improve%20brightness%20temperature%20estimation%20in%20satellite%20SWE%20retrievals%3C%5C%2Fa%3E.%20The%20Cryosphere%2C%20vol.%2016%2C%20n%5Cu00b01%2C%20p.%2087%5Cu2011101.%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Characterizing%20tundra%20snow%20sub-pixel%20variability%20to%20improve%20brightness%20temperature%20estimation%20in%20satellite%20SWE%20retrievals%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Julien%22%2C%22lastName%22%3A%22Meloche%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Alexandre%22%2C%22lastName%22%3A%22Langlois%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Nick%22%2C%22lastName%22%3A%22Rutter%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Alain%22%2C%22lastName%22%3A%22Royer%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Josh%22%2C%22lastName%22%3A%22King%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Branden%22%2C%22lastName%22%3A%22Walker%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Philip%22%2C%22lastName%22%3A%22Marsh%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Evan%20J.%22%2C%22lastName%22%3A%22Wilcox%22%7D%5D%2C%22abstractNote%22%3A%22Abstract.%20Topography%20and%20vegetation%20play%20a%20major%20role%20in%20sub-pixel%20variability%20of%5CnArctic%20snowpack%20properties%20but%20are%20not%20considered%20in%20current%20passive%5Cnmicrowave%20%28PMW%29%20satellite%20SWE%20retrievals.%20Simulation%20of%20sub-pixel%5Cnvariability%20of%20snow%20properties%20is%20also%20problematic%20when%20downscaling%20snow%20and%5Cnclimate%20models.%20In%20this%20study%2C%20we%20simplified%20observed%20variability%20of%5Cnsnowpack%20properties%20%28depth%2C%20density%2C%20microstructure%29%20in%20a%20two-layer%20model%5Cnwith%20mean%20values%20and%20distributions%20of%20two%20multi-year%20tundra%20dataset%20so%20they%5Cncould%20be%20incorporated%20in%20SWE%20retrieval%20schemes.%20Spatial%20variation%20of%20snow%5Cndepth%20was%20parameterized%20by%20a%20log-normal%20distribution%20with%20mean%20%28%5Cu03bcsd%29%5Cnvalues%20and%20coefficients%20of%20variation%20%28CVsd%29.%20Snow%20depth%20variability%5Cn%28CVsd%29%20was%20found%20to%20increase%20as%20a%20function%20of%20the%20area%20measured%20by%20a%5Cnremotely%20piloted%20aircraft%20system%20%28RPAS%29.%20Distributions%20of%20snow%20specific%5Cnsurface%20area%20%28SSA%29%20and%20density%20were%20found%20for%20the%20wind%20slab%20%28WS%29%20and%20depth%5Cnhoar%20%28DH%29%20layers.%20The%20mean%20depth%20hoar%20fraction%20%28DHF%29%20was%20found%20to%20be%20higher%5Cnin%20Trail%20Valley%20Creek%20%28TVC%29%20than%20in%20Cambridge%20Bay%20%28CB%29%2C%20where%20TVC%20is%20at%20a%5Cnlower%20latitude%20with%20a%20subarctic%20shrub%20tundra%20compared%20to%20CB%2C%20which%20is%20a%5Cngraminoid%20tundra.%20DHFs%20were%20fitted%20with%20a%20Gaussian%20process%20and%20predicted%20from%5Cnsnow%20depth.%20Simulations%20of%20brightness%20temperatures%20using%20the%20Snow%20Microwave%5CnRadiative%20Transfer%20%28SMRT%29%20model%20incorporating%20snow%20depth%20and%20DHF%20variation%5Cnwere%20evaluated%20with%20measurements%20from%20the%20Special%20Sensor%20Microwave%5C%2FImager%5Cnand%20Sounder%20%28SSMIS%29%20sensor.%20Variation%20in%20snow%20depth%20%28CVsd%29%20is%20proposed%5Cnas%20an%20effective%20parameter%20to%20account%20for%20sub-pixel%20variability%20in%20PMW%5Cnemission%2C%20improving%20simulation%20by%208%5Cu2009K.%20SMRT%20simulations%20using%20a%20CVsd%20of%5Cn0.9%20best%20matched%20CVsd%20observations%20from%20spatial%20datasets%20for%20areas%5Cu2009%3E%5Cu20093%5Cu2009km2%2C%20which%20is%20comparable%20to%20the%203.125%5Cu2009km%20pixel%20size%20of%5Cnthe%20Equal-Area%20Scalable%20Earth%20%28EASE%29-Grid%202.0%20enhanced%20resolution%20at%2037%5Cu2009GHz.%22%2C%22date%22%3A%222022%22%2C%22language%22%3A%22en%22%2C%22DOI%22%3A%2210.5194%5C%2Ftc-16-87-2022%22%2C%22ISSN%22%3A%221994-0424%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Ftc.copernicus.org%5C%2Farticles%5C%2F16%5C%2F87%5C%2F2022%5C%2F%22%2C%22collections%22%3A%5B%22F6MU4YF5%22%5D%2C%22dateModified%22%3A%222022-10-18T18%3A50%3A40Z%22%7D%7D%2C%7B%22key%22%3A%22RL3M8NQ9%22%2C%22library%22%3A%7B%22id%22%3A2626991%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Royer%20et%20al.%22%2C%22parsedDate%22%3A%222021%22%2C%22numChildren%22%3A0%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%202%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%5C%22%3E%5Cn%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%3ERoyer%2C%20A.%2C%20Roy%2C%20A.%2C%20Jutras%2C%20S.%20et%20Langlois%2C%20A.%20%282021%29%20%3Ca%20target%3D%27_blank%27%20href%3D%27https%3A%5C%2F%5C%2Ftc.copernicus.org%5C%2Farticles%5C%2F15%5C%2F5079%5C%2F2021%5C%2F%27%3EReview%20article%3A%20Performance%20assessment%20of%20radiation-based%20field%20sensors%20for%20monitoring%20the%20water%20equivalent%20of%20snow%20cover%20%28SWE%29%3C%5C%2Fa%3E.%20The%20Cryosphere%2C%20vol.%2015%2C%20n%5Cu00b011%2C%20p.%205079%5Cu20115098.%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Review%20article%3A%20Performance%20assessment%20of%20radiation-based%20field%20sensors%20for%20monitoring%20the%20water%20equivalent%20of%20snow%20cover%20%28SWE%29%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Alain%22%2C%22lastName%22%3A%22Royer%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Alexandre%22%2C%22lastName%22%3A%22Roy%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Sylvain%22%2C%22lastName%22%3A%22Jutras%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Alexandre%22%2C%22lastName%22%3A%22Langlois%22%7D%5D%2C%22abstractNote%22%3A%22Abstract.%20Continuous%20and%20spatially%20distributed%20data%20of%20snow%20mass%20%28water%20equivalent%20of%5Cnsnow%20cover%2C%20SWE%29%20from%20automatic%20ground-based%20measurements%20are%20increasingly%5Cnrequired%20for%20climate%20change%20studies%20and%20for%20hydrological%20applications%20%28snow%5Cnhydrological-model%20improvement%20and%20data%20assimilation%29.%20We%20present%20and%5Cncompare%20four%20new-generation%20sensors%2C%20now%20commercialized%2C%20that%20are%5Cnnon-invasive%20and%20based%20on%20different%20radiations%20that%20interact%20with%20snow%20for%20SWE%5Cnmonitoring%3A%20cosmic-ray%20neutron%20probe%20%28CRNP%29%2C%20gamma%20ray%20monitoring%20%28GMON%29%5Cnscintillator%2C%20frequency-modulated%20continuous-wave%20radar%20%28FMCW%20radar%29%20at%2024%5Cu2009GHz%20and%20global%20navigation%20satellite%20system%20%28GNSS%29%20receivers%20%28GNSSr%29.%20All%5Cnfour%20techniques%20have%20relatively%20low%20power%20requirements%2C%20provide%20continuous%5Cnand%20autonomous%20SWE%20measurements%2C%20and%20can%20be%20easily%20installed%20in%20remote%5Cnareas.%20A%20performance%20assessment%20of%20their%20advantages%2C%20drawbacks%20and%5Cnuncertainties%20is%20discussed%20from%20experimental%20comparisons%20and%20a%20literature%5Cnreview.%20Relative%20uncertainties%20are%20estimated%20to%20range%20between%209%5Cu2009%25%20and%2015%5Cu2009%25%5Cnwhen%20compared%20to%20manual%20in%20situ%20snow%20surveys%20that%20are%20also%20discussed.%5CnResults%20show%20the%20following.%20%281%29%5Cu00a0CRNP%20can%20be%20operated%20in%20two%20modes%20of%20functioning%3A%5Cnbeneath%20the%20snow%2C%20it%20is%20the%20only%20system%20able%20to%20measure%20very%20deep%20snowpacks%5Cn%28%3E%5Cu20092000%5Cu2009mm%5Cu2009w.e.%29%20with%20reasonable%20uncertainty%20across%20a%20wide%20range%5Cnof%20measurements%3B%20CRNP%20placed%20above%20the%20snow%20allows%20for%20SWE%20measurements%20over%20a%5Cnlarge%20footprint%20%28%5Cu223c%5Cu200920%5Cu2009ha%29%20above%20a%20shallow%20snowpack.%20In%20both%20cases%2C%20CRNP%5Cnneeds%20ancillary%20atmospheric%20measurements%20for%20SWE%20retrieval.%20%282%29%5Cu00a0GMON%5Cnis%20the%20most%20mature%20instrument%20for%20snowpacks%20that%20are%20typically%20up%20to%20800%5Cu2009mm%5Cu2009w.e.%20Both%20CRNP%20%28above%20snow%29%20and%20GMON%20are%20sensitive%20to%20surface%5Cnsoil%20moisture.%20%283%29%5Cu00a0FMCW%5Cu00a0radar%20needs%20auxiliary%20snow-depth%5Cnmeasurements%20for%20SWE%20retrieval%20and%20is%20not%20recommended%20for%20automatic%20SWE%5Cnmonitoring%20%28limited%20to%20dry%20snow%29.%20FMCW%5Cu00a0radar%20is%20very%20sensitive%20to%20wet%20snow%2C%5Cnmaking%20it%20a%20very%20useful%20sensor%20for%20melt%20detection%20%28e.g.%2C%20wet%20avalanche%5Cnforecasts%29.%20%284%29%5Cu00a0GNSSr%20allows%20three%20key%20snowpack%20parameters%20to%20be%5Cnestimated%20simultaneously%3A%20SWE%20%28range%3A%200%5Cu20131000%5Cu2009mm%5Cu2009w.e.%29%2C%20snow%20depth%20and%5Cnliquid%20water%20content%2C%20according%20to%20the%20retrieval%20algorithm%20that%20is%20used.%20Its%5Cnlow%20cost%2C%20compactness%20and%20low%20mass%20suggest%20a%20strong%20potential%20for%20GNSSr%5Cnapplication%20in%20remote%20areas.%22%2C%22date%22%3A%222021%22%2C%22language%22%3A%22en%22%2C%22DOI%22%3A%2210.5194%5C%2Ftc-15-5079-2021%22%2C%22ISSN%22%3A%221994-0424%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Ftc.copernicus.org%5C%2Farticles%5C%2F15%5C%2F5079%5C%2F2021%5C%2F%22%2C%22collections%22%3A%5B%22F6MU4YF5%22%5D%2C%22dateModified%22%3A%222022-10-18T18%3A50%3A45Z%22%7D%7D%2C%7B%22key%22%3A%22U5AWE8CP%22%2C%22library%22%3A%7B%22id%22%3A2626991%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Royer%20et%20al.%22%2C%22parsedDate%22%3A%222021%22%2C%22numChildren%22%3A0%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%202%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%5C%22%3E%5Cn%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%3ERoyer%2C%20A.%2C%20Domine%2C%20F.%2C%20Roy%2C%20A.%2C%20Langlois%2C%20A.%2C%20Marchand%2C%20N.%20et%20Davesne%2C%20G.%20%282021%29%20%3Ca%20target%3D%27_blank%27%20href%3D%27https%3A%5C%2F%5C%2Fwww.tandfonline.com%5C%2Fdoi%5C%2Ffull%5C%2F10.1080%5C%2F11956860.2021.1898775%27%3ENew%20northern%20snowpack%20classification%20linked%20to%20vegetation%20cover%20on%20a%20latitudinal%20mega-transect%20across%20northeastern%20Canada%3C%5C%2Fa%3E.%20%5Cu00c9coscience%2C%20vol.%2028%2C%20n%5Cu00b03%5Cu20114%2C%20p.%20225%5Cu2011242.%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22New%20northern%20snowpack%20classification%20linked%20to%20vegetation%20cover%20on%20a%20latitudinal%20mega-transect%20across%20northeastern%20Canada%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Alain%22%2C%22lastName%22%3A%22Royer%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Florent%22%2C%22lastName%22%3A%22Domine%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Alexandre%22%2C%22lastName%22%3A%22Roy%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Alexandre%22%2C%22lastName%22%3A%22Langlois%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Nicolas%22%2C%22lastName%22%3A%22Marchand%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Gautier%22%2C%22lastName%22%3A%22Davesne%22%7D%5D%2C%22abstractNote%22%3A%22%22%2C%22date%22%3A%222021%22%2C%22language%22%3A%22en%22%2C%22DOI%22%3A%2210.1080%5C%2F11956860.2021.1898775%22%2C%22ISSN%22%3A%221195-6860%2C%202376-7626%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Fwww.tandfonline.com%5C%2Fdoi%5C%2Ffull%5C%2F10.1080%5C%2F11956860.2021.1898775%22%2C%22collections%22%3A%5B%22F6MU4YF5%22%5D%2C%22dateModified%22%3A%222022-10-18T18%3A50%3A27Z%22%7D%7D%2C%7B%22key%22%3A%22TCD73MAA%22%2C%22library%22%3A%7B%22id%22%3A2626991%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Levasseur%20et%20al.%22%2C%22parsedDate%22%3A%222021%22%2C%22numChildren%22%3A0%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%202%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%5C%22%3E%5Cn%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%3ELevasseur%2C%20S.%2C%20Brown%2C%20K.%2C%20Langlois%2C%20A.%20et%20McLennan%2C%20D.%20%282021%29%20%3Ca%20target%3D%27_blank%27%20href%3D%27https%3A%5C%2F%5C%2Fwww.tandfonline.com%5C%2Fdoi%5C%2Ffull%5C%2F10.1080%5C%2F07055900.2021.1962240%27%3EMeasurement%20of%20Snow%20Physical%20Properties%20and%20Stable%20Isotope%20Variations%20in%20the%20Canadian%20Sub-Arctic%20and%20Arctic%20Snowpack%3C%5C%2Fa%3E.%20Atmosphere-Ocean%2C%20vol.%2059%2C%20n%5Cu00b03%2C%20p.%20137%5Cu2011151.%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Measurement%20of%20Snow%20Physical%20Properties%20and%20Stable%20Isotope%20Variations%20in%20the%20Canadian%20Sub-Arctic%20and%20Arctic%20Snowpack%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Simon%22%2C%22lastName%22%3A%22Levasseur%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Kristina%22%2C%22lastName%22%3A%22Brown%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Alexandre%22%2C%22lastName%22%3A%22Langlois%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Donald%22%2C%22lastName%22%3A%22McLennan%22%7D%5D%2C%22abstractNote%22%3A%22%22%2C%22date%22%3A%222021%22%2C%22language%22%3A%22en%22%2C%22DOI%22%3A%2210.1080%5C%2F07055900.2021.1962240%22%2C%22ISSN%22%3A%220705-5900%2C%201480-9214%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Fwww.tandfonline.com%5C%2Fdoi%5C%2Ffull%5C%2F10.1080%5C%2F07055900.2021.1962240%22%2C%22collections%22%3A%5B%22F6MU4YF5%22%5D%2C%22dateModified%22%3A%222022-10-18T18%3A50%3A23Z%22%7D%7D%2C%7B%22key%22%3A%22LBYCGR9J%22%2C%22library%22%3A%7B%22id%22%3A2626991%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Meloche%20et%20al.%22%2C%22parsedDate%22%3A%222021%22%2C%22numChildren%22%3A0%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%202%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%5C%22%3E%5Cn%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%3EMeloche%2C%20J.%2C%20Royer%2C%20A.%2C%20Langlois%2C%20A.%2C%20Rutter%2C%20N.%20et%20Sasseville%2C%20V.%20%282021%29%20%3Ca%20target%3D%27_blank%27%20href%3D%27https%3A%5C%2F%5C%2Fwww.tandfonline.com%5C%2Fdoi%5C%2Ffull%5C%2F10.1080%5C%2F17538947.2020.1836049%27%3EImprovement%20of%20microwave%20emissivity%20parameterization%20of%20frozen%20Arctic%20soils%20using%20roughness%20measurements%20derived%20from%20photogrammetry%3C%5C%2Fa%3E.%20International%20Journal%20of%20Digital%20Earth%2C%20vol.%2014%2C%20n%5Cu00b010%2C%20p.%201380%5Cu20111396.%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Improvement%20of%20microwave%20emissivity%20parameterization%20of%20frozen%20Arctic%20soils%20using%20roughness%20measurements%20derived%20from%20photogrammetry%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22J.%22%2C%22lastName%22%3A%22Meloche%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22A.%22%2C%22lastName%22%3A%22Royer%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22A.%22%2C%22lastName%22%3A%22Langlois%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22N.%22%2C%22lastName%22%3A%22Rutter%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22V.%22%2C%22lastName%22%3A%22Sasseville%22%7D%5D%2C%22abstractNote%22%3A%22%22%2C%22date%22%3A%222021%22%2C%22language%22%3A%22en%22%2C%22DOI%22%3A%2210.1080%5C%2F17538947.2020.1836049%22%2C%22ISSN%22%3A%221753-8947%2C%201753-8955%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Fwww.tandfonline.com%5C%2Fdoi%5C%2Ffull%5C%2F10.1080%5C%2F17538947.2020.1836049%22%2C%22collections%22%3A%5B%22F6MU4YF5%22%5D%2C%22dateModified%22%3A%222022-10-18T18%3A50%3A07Z%22%7D%7D%2C%7B%22key%22%3A%22TBDPXSUL%22%2C%22library%22%3A%7B%22id%22%3A2626991%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Royer%20et%20al.%22%2C%22parsedDate%22%3A%222021%22%2C%22numChildren%22%3A0%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%202%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%5C%22%3E%5Cn%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%3ERoyer%2C%20A.%2C%20Picard%2C%20G.%2C%20Vargel%2C%20C.%2C%20Langlois%2C%20A.%2C%20Gouttevin%2C%20I.%20et%20Dumont%2C%20M.%20%282021%29%20%3Ca%20target%3D%27_blank%27%20href%3D%27https%3A%5C%2F%5C%2Fwww.frontiersin.org%5C%2Farticles%5C%2F10.3389%5C%2Ffeart.2021.685140%5C%2Ffull%27%3EImproved%20Simulation%20of%20Arctic%20Circumpolar%20Land%20Area%20Snow%20Properties%20and%20Soil%20Temperatures%3C%5C%2Fa%3E.%20Frontiers%20in%20Earth%20Science%2C%20vol.%209%2C%20p.%20685140.%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Improved%20Simulation%20of%20Arctic%20Circumpolar%20Land%20Area%20Snow%20Properties%20and%20Soil%20Temperatures%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Alain%22%2C%22lastName%22%3A%22Royer%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Ghislain%22%2C%22lastName%22%3A%22Picard%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22C%5Cu00e9line%22%2C%22lastName%22%3A%22Vargel%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Alexandre%22%2C%22lastName%22%3A%22Langlois%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Isabelle%22%2C%22lastName%22%3A%22Gouttevin%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Marie%22%2C%22lastName%22%3A%22Dumont%22%7D%5D%2C%22abstractNote%22%3A%22The%20impact%20of%20high%20latitude%20climate%20warming%20on%20Arctic%20snow%20cover%20and%20its%20insulating%20properties%20has%20key%20implications%20for%20the%20surface%20and%20soil%20energy%20balance.%20Few%20studies%20have%20investigated%20specific%20trends%20in%20Arctic%20snowpack%20properties%20because%20there%20is%20a%20lack%20of%20long-term%20%5Cn%20%20%20%20%20%20%20%20%20%20%20%20%20%20in%20situ%20%5Cn%20%20%20%20%20%20%20%20%20%20%20%20%20%20observations%20and%20current%20detailed%20snow%20models%20fail%20to%20represent%20the%20main%20traits%20of%20Arctic%20snowpacks.%20This%20results%20in%20high%20uncertainty%20in%20modeling%20snow%20feedbacks%20on%20ground%20thermal%20regime%20due%20to%20induced%20changes%20in%20snow%20insulation.%20To%20better%20simulate%20Arctic%20snow%20structure%20and%20snow%20thermal%20properties%2C%20we%20implemented%20new%20parameterizations%20of%20several%20snow%20physical%20processes%5Cu2014including%20the%20effect%20of%20Arctic%20low%20vegetation%20and%20wind%20on%20snowpack%5Cu2014in%20the%20Crocus%20detailed%20snowpack%20model.%20Significant%20improvements%20compared%20to%20standard%20Crocus%20snow%20simulations%20and%20ERA-Interim%20%28ERAi%29%20reanalysis%20snow%20outputs%20were%20observed%20for%20a%20large%20set%20of%20%5Cn%20%20%20%20%20%20%20%20%20%20%20%20%20%20in-situ%20%5Cn%20%20%20%20%20%20%20%20%20%20%20%20%20%20snow%20data%20over%20Siberia%20and%20North%20America.%20Arctic%20Crocus%20simulations%20produced%20improved%20Arctic%20snow%20density%20profiles%20over%20the%20initial%20Crocus%20version%2C%20leading%20to%20a%20soil%20surface%20temperature%20bias%20of%20%5Cu22120.5%5Cu00a0K%20with%20RMSE%20of%202.5%5Cu00a0K.%20We%20performed%20Crocus%20simulations%20over%20the%20past%2039%5Cu00a0years%20%281979%5Cu20132018%29%20for%20circumpolar%20taiga%20%28open%20forest%29%20and%20pan-Arctic%20areas%20at%20a%20resolution%20of%200.5%5Cu00b0%2C%20driven%20by%20ERAi%20meteorological%20data.%20Snowpack%20properties%20over%20that%20period%20feature%20significant%20increase%20in%20spring%20snow%20bulk%20density%20%28mainly%20in%20May%20and%20June%29%2C%20a%20downward%20trend%20in%20snow%20cover%20duration%20and%20an%20upward%20trend%20in%20wet%20snow%20%28mainly%20in%20spring%20and%20fall%29.%20The%20pan-Arctic%20maximum%20snow%20water%20equivalent%20shows%20a%20decrease%20of%20%5Cu22120.33%5Cu00a0cm%5Cu00a0dec%20%5Cn%20%20%20%20%20%20%20%20%20%20%20%20%20%20%5Cu22121%20%5Cn%20%20%20%20%20%20%20%20%20%20%20%20%20%20.%20With%20the%20ERAi%20air%20temperature%20trend%20of%20%2B0.84%5Cu00a0K%5Cu00a0dec%20%5Cn%20%20%20%20%20%20%20%20%20%20%20%20%20%20%5Cu22121%20%5Cn%20%20%20%20%20%20%20%20%20%20%20%20%20%20featuring%20Arctic%20winter%20warming%2C%20these%20snow%20property%20changes%20have%20led%20to%20an%20upward%20trend%20in%20soil%20surface%20temperature%20%28Tss%29%20at%20a%20rate%20of%20%2B0.41%5Cu00a0K%5Cu00a0dec%20%5Cn%20%20%20%20%20%20%20%20%20%20%20%20%20%20%5Cu22121%20%5Cn%20%20%20%20%20%20%20%20%20%20%20%20%20%20in%20winter.%20We%20show%20that%20the%20implemented%20snowpack%20property%20changes%20increased%20the%20Tss%20trend%20by%2036%25%20compared%20to%20the%20standard%20simulation.%20Winter%20induced%20changes%20in%20Tss%20led%20to%20a%20significant%20increase%20of%2016%25%20%28%2B4%5Cu00a0cm%5Cu00a0dec%20%5Cn%20%20%20%20%20%20%20%20%20%20%20%20%20%20%5Cu22121%20%5Cn%20%20%20%20%20%20%20%20%20%20%20%20%20%20%29%20in%20the%20estimated%20active%20layer%20thickness%20%28ALT%29%20over%20the%20past%2039%5Cu00a0years.%20An%20increase%20in%20ALT%20could%20have%20a%20significant%20impact%20on%20permafrost%20evolution%2C%20Arctic%20erosion%20and%20hydrology.%22%2C%22date%22%3A%222021%22%2C%22language%22%3A%22%22%2C%22DOI%22%3A%2210.3389%5C%2Ffeart.2021.685140%22%2C%22ISSN%22%3A%222296-6463%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Fwww.frontiersin.org%5C%2Farticles%5C%2F10.3389%5C%2Ffeart.2021.685140%5C%2Ffull%22%2C%22collections%22%3A%5B%22F6MU4YF5%22%5D%2C%22dateModified%22%3A%222022-10-18T18%3A50%3A36Z%22%7D%7D%2C%7B%22key%22%3A%22R72HFV2E%22%2C%22library%22%3A%7B%22id%22%3A2626991%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Letcher%20et%20al.%22%2C%22parsedDate%22%3A%222021%22%2C%22numChildren%22%3A0%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%202%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%5C%22%3E%5Cn%20%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%3ELetcher%2C%20T.%2C%20Vuyovich%2C%20C.%2C%20Langlois%2C%20A.%20et%20Roy%2C%20A.%20%282021%29%20Understanding%20Uncertainty%20of%20Snow%20Radiative%20Transfer%20Modeling%20Within%20a%20Mixed%20Deciduous%20and%20Evergreen%20Forest.%20IEEE%20Journal%20of%20Selected%20Topics%20in%20Applied%20Earth%20Observations%20and%20Remote%20Sensing%2C%20vol.%2014%2C%20p.%208225%26%23x2011%3B8235.%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Understanding%20Uncertainty%20of%20Snow%20Radiative%20Transfer%20Modeling%20Within%20a%20Mixed%20Deciduous%20and%20Evergreen%20Forest%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Theodore%22%2C%22lastName%22%3A%22Letcher%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Carrie%22%2C%22lastName%22%3A%22Vuyovich%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Alexandre%22%2C%22lastName%22%3A%22Langlois%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Alexandre%22%2C%22lastName%22%3A%22Roy%22%7D%5D%2C%22abstractNote%22%3A%22Satellite-based%20passive%20microwave%20observations%20provide%20the%20best%20available%20continuous%20observational%20estimates%20of%20global%20snow%20water%20storage%20due%20to%20their%20broad%20geographic%20footprint%20and%20low%20sensitivity%20to%20clouds%20and%20precipitation.%20However%2C%20these%20observations%20are%20subject%20to%20substantial%20uncertainty%20due%20to%20the%20complex%20radiative%20properties%20of%20snow%20and%20from%20interference%20in%20forested%20areas.%20Physical%20radiative%20transfer%20models%20can%20be%20leveraged%20to%20improve%20the%20fidelity%20of%20these%20observations%20and%20as%20a%20data-assimilation%20tool.%20In%20this%20article%2C%20the%20Dense%20Media%20Radiative%20Transfer%20model%20with%20Multiple%20Layers%20%28DMRT-ML%29%20is%20used%20to%20simulate%20snow%20brightness%20temperatures%20from%20data%20collected%20from%20snow%20pits%20excavated%20during%20a%20two-day-long%20field%20study%20performed%20a%20temperate%20forest%20in%20the%20Northeast%20United%20States.%20The%20simulations%20are%20evaluated%20against%20surface-based%20radiometer%20observations%20collected%20at%20the%20snow%20pits.%20The%20DMRT-ML%20is%20configured%20with%20varying%20complexity%20to%20determine%20the%20snowpack%20characteristics%20most%20essential%20toward%20simulating%20brightness%20temperature%20within%20a%20temperate%20forest%20with%20complicated%20snow%20stratigraphy.%20In%20general%2C%20the%20single-layer%20configurations%20were%20not%20sufficiently%20complex%20to%20accurately%20simulate%20snow%20brightness%20temperature%20without%20significant%20tuning.%20The%20most%20accurate%20simulation%20was%20a%20two-layer%20configuration%20with%20a%20prescribed%20ice%20layer%20separating%20the%20snow%20layers.%20This%20simulation%20had%20a%20root-mean-square%20error%20%24%3C%3B%20%2415%20K%20for%20the%2037-GHz%20frequency.%20More%20complicated%20snowpack%20stratigraphy%20configurations%20did%20not%20substantively%20improve%20the%20results%20over%20the%20two-layer%20model%20configuration.%20The%20DMRT-ML%20was%20also%20used%20to%20examine%20differences%20between%20redundant%20datasets%20of%20density%20and%20grain%20size.%20It%20was%20determined%20that%20similar%20snow%20data%20collection%20and%20radiative%20transfer%20model%20configuration%20techniques%20are%20critical%20to%20ensure%20cross-study%20comparability.%22%2C%22date%22%3A%222021%22%2C%22language%22%3A%22%22%2C%22DOI%22%3A%2210.1109%5C%2FJSTARS.2021.3099944%22%2C%22ISSN%22%3A%222151-1535%22%2C%22url%22%3A%22%22%2C%22collections%22%3A%5B%22F6MU4YF5%22%5D%2C%22dateModified%22%3A%222022-10-18T17%3A55%3A34Z%22%7D%7D%2C%7B%22key%22%3A%22D4SL6YLI%22%2C%22library%22%3A%7B%22id%22%3A2626991%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Holtzman%20et%20al.%22%2C%22parsedDate%22%3A%222021%22%2C%22numChildren%22%3A0%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%202%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%5C%22%3E%5Cn%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%3EHoltzman%2C%20N.%20M.%2C%20Anderegg%2C%20L.%20D.%20L.%2C%20Kraatz%2C%20S.%2C%20Mavrovic%2C%20A.%2C%20Sonnentag%2C%20O.%2C%20Pappas%2C%20C.%2C%20Cosh%2C%20M.%20H.%2C%20Langlois%2C%20A.%2C%20Lakhankar%2C%20T.%2C%20Tesser%2C%20D.%2C%20Steiner%2C%20N.%2C%20Colliander%2C%20A.%2C%20Roy%2C%20A.%20et%20Konings%2C%20A.%20G.%20%282021%29%20%3Ca%20target%3D%27_blank%27%20href%3D%27https%3A%5C%2F%5C%2Fbg.copernicus.org%5C%2Farticles%5C%2F18%5C%2F739%5C%2F2021%5C%2F%27%3EL-band%20vegetation%20optical%20depth%20as%20an%20indicator%20of%20plant%20water%20potential%20in%20a%20temperate%20deciduous%20forest%20stand%3C%5C%2Fa%3E.%20Biogeosciences%2C%20vol.%2018%2C%20n%5Cu00b02%2C%20p.%20739%5Cu2011753.%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22L-band%20vegetation%20optical%20depth%20as%20an%20indicator%20of%20plant%20water%20potential%20in%20a%20temperate%20deciduous%20forest%20stand%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Nataniel%20M.%22%2C%22lastName%22%3A%22Holtzman%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Leander%20D.%20L.%22%2C%22lastName%22%3A%22Anderegg%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Simon%22%2C%22lastName%22%3A%22Kraatz%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Alex%22%2C%22lastName%22%3A%22Mavrovic%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Oliver%22%2C%22lastName%22%3A%22Sonnentag%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Christoforos%22%2C%22lastName%22%3A%22Pappas%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Michael%20H.%22%2C%22lastName%22%3A%22Cosh%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Alexandre%22%2C%22lastName%22%3A%22Langlois%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Tarendra%22%2C%22lastName%22%3A%22Lakhankar%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Derek%22%2C%22lastName%22%3A%22Tesser%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Nicholas%22%2C%22lastName%22%3A%22Steiner%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Andreas%22%2C%22lastName%22%3A%22Colliander%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Alexandre%22%2C%22lastName%22%3A%22Roy%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Alexandra%20G.%22%2C%22lastName%22%3A%22Konings%22%7D%5D%2C%22abstractNote%22%3A%22Abstract.%20Vegetation%20optical%20depth%20%28VOD%29%20retrieved%20from%20microwave%20radiometry%20correlates%20with%20the%20total%20amount%20of%20water%20in%20vegetation%2C%20based%20on%20theoretical%20and%5Cnempirical%20evidence.%20Because%20the%20total%20amount%20of%20water%20in%20vegetation%20varies%20with%20relative%20water%20content%20%28as%20well%20as%20with%20biomass%29%2C%20this%20correlation%5Cnfurther%20suggests%20a%20possible%20relationship%20between%20VOD%20and%20plant%20water%20potential%2C%20a%20quantity%20that%20drives%20plant%20hydraulic%20behavior.%20Previous%20studies%5Cnhave%20found%20evidence%20for%20that%20relationship%20on%20the%20scale%20of%20satellite%20pixels%20tens%20of%20kilometers%20across%2C%20but%20these%20comparisons%20suffer%20from%20significant%5Cnscaling%20error.%20Here%20we%20used%20small-scale%20remote%20sensing%20to%20test%20the%20link%20between%20remotely%20sensed%20VOD%20and%20plant%20water%20potential.%20We%20placed%20an%20L-band%5Cnradiometer%20on%20a%20tower%20above%20the%20canopy%20looking%20down%20at%20red%20oak%20forest%20stand%20during%20the%202019%20growing%20season%20in%20central%20Massachusetts%2C%20United%5CnStates.%20We%20measured%20stem%20xylem%20and%20leaf%20water%20potentials%20of%20trees%20within%20the%20stand%20and%20retrieved%20VOD%20with%20a%20single-channel%20algorithm%20based%20on%5Cncontinuous%20radiometer%20measurements%20and%20measured%20soil%20moisture.%20VOD%20exhibited%20a%20diurnal%20cycle%20similar%20to%20that%20of%20leaf%20and%20stem%20water%20potential%2C%20with%5Cna%20peak%20at%20approximately%2005%3A00%20eastern%20daylight%20time%20%28UTC%5Cu22124%29.%20VOD%20was%20also%20positively%20correlated%20with%20both%20the%20measured%20dielectric%20constant%20and%20water%20potentials%20of%20stem%20xylem%5Cnover%20the%20growing%20season.%20The%20presence%20of%20moisture%20on%20the%20leaves%20did%20not%20affect%20the%20observed%20relationship%20between%20VOD%20and%20stem%20water%20potential.%20We%5Cnused%20our%20observed%20VOD%5Cu2013water-potential%20relationship%20to%20estimate%20stand-level%20values%20for%20a%20radiative%20transfer%20parameter%20and%20a%20plant%20hydraulic%5Cnparameter%2C%20which%20compared%20well%20with%20the%20published%20literature.%20Our%20findings%20support%20the%20use%20of%20VOD%20for%20plant%20hydraulic%20studies%20in%20temperate%20forests.%22%2C%22date%22%3A%222021%22%2C%22language%22%3A%22en%22%2C%22DOI%22%3A%2210.5194%5C%2Fbg-18-739-2021%22%2C%22ISSN%22%3A%221726-4189%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Fbg.copernicus.org%5C%2Farticles%5C%2F18%5C%2F739%5C%2F2021%5C%2F%22%2C%22collections%22%3A%5B%22F6MU4YF5%22%5D%2C%22dateModified%22%3A%222022-10-18T18%3A50%3A15Z%22%7D%7D%2C%7B%22key%22%3A%22UGUW4GB5%22%2C%22library%22%3A%7B%22id%22%3A2626991%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Vargel%20et%20al.%22%2C%22parsedDate%22%3A%222020%22%2C%22numChildren%22%3A0%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%202%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%5C%22%3E%5Cn%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%3EVargel%2C%20C.%2C%20Royer%2C%20A.%2C%20St-Jean-Rondeau%2C%20O.%2C%20Picard%2C%20G.%2C%20Roy%2C%20A.%2C%20Sasseville%2C%20V.%20et%20Langlois%2C%20A.%20%282020%29%20%3Ca%20target%3D%27_blank%27%20href%3D%27https%3A%5C%2F%5C%2Flinkinghub.elsevier.com%5C%2Fretrieve%5C%2Fpii%5C%2FS0034425720301243%27%3EArctic%20and%20subarctic%20snow%20microstructure%20analysis%20for%20microwave%20brightness%20temperature%20simulations%3C%5C%2Fa%3E.%20Remote%20Sensing%20of%20Environment%2C%20vol.%20242%2C%20p.%20111754.%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Arctic%20and%20subarctic%20snow%20microstructure%20analysis%20for%20microwave%20brightness%20temperature%20simulations%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22C%5Cu00e9line%22%2C%22lastName%22%3A%22Vargel%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Alain%22%2C%22lastName%22%3A%22Royer%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Olivier%22%2C%22lastName%22%3A%22St-Jean-Rondeau%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Ghislain%22%2C%22lastName%22%3A%22Picard%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Alexandre%22%2C%22lastName%22%3A%22Roy%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Vincent%22%2C%22lastName%22%3A%22Sasseville%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Alexandre%22%2C%22lastName%22%3A%22Langlois%22%7D%5D%2C%22abstractNote%22%3A%22%22%2C%22date%22%3A%2206%5C%2F2020%22%2C%22language%22%3A%22en%22%2C%22DOI%22%3A%2210.1016%5C%2Fj.rse.2020.111754%22%2C%22ISSN%22%3A%2200344257%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Flinkinghub.elsevier.com%5C%2Fretrieve%5C%2Fpii%5C%2FS0034425720301243%22%2C%22collections%22%3A%5B%22F6MU4YF5%22%5D%2C%22dateModified%22%3A%222022-10-18T17%3A59%3A03Z%22%7D%7D%2C%7B%22key%22%3A%22JKTTHDTF%22%2C%22library%22%3A%7B%22id%22%3A2626991%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Roy%20et%20al.%22%2C%22parsedDate%22%3A%222020%22%2C%22numChildren%22%3A0%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%202%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%5C%22%3E%5Cn%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%3ERoy%2C%20A.%2C%20Toose%2C%20P.%2C%20Mavrovic%2C%20A.%2C%20Pappas%2C%20C.%2C%20Royer%2C%20A.%2C%20Derksen%2C%20C.%2C%20Berg%2C%20A.%2C%20Rowlandson%2C%20T.%2C%20El-Amine%2C%20M.%2C%20Barr%2C%20A.%2C%20Black%2C%20A.%2C%20Langlois%2C%20A.%20et%20Sonnentag%2C%20O.%20%282020%29%20%3Ca%20target%3D%27_blank%27%20href%3D%27https%3A%5C%2F%5C%2Flinkinghub.elsevier.com%5C%2Fretrieve%5C%2Fpii%5C%2FS0034425719305620%27%3EL-Band%20response%20to%20freeze%5C%2Fthaw%20in%20a%20boreal%20forest%20stand%20from%20ground-%20and%20tower-based%20radiometer%20observations%3C%5C%2Fa%3E.%20Remote%20Sensing%20of%20Environment%2C%20vol.%20237%2C%20p.%20111542.%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22L-Band%20response%20to%20freeze%5C%2Fthaw%20in%20a%20boreal%20forest%20stand%20from%20ground-%20and%20tower-based%20radiometer%20observations%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Alexandre%22%2C%22lastName%22%3A%22Roy%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Peter%22%2C%22lastName%22%3A%22Toose%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Alex%22%2C%22lastName%22%3A%22Mavrovic%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Christoforos%22%2C%22lastName%22%3A%22Pappas%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Alain%22%2C%22lastName%22%3A%22Royer%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Chris%22%2C%22lastName%22%3A%22Derksen%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Aaron%22%2C%22lastName%22%3A%22Berg%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Tracy%22%2C%22lastName%22%3A%22Rowlandson%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Mariam%22%2C%22lastName%22%3A%22El-Amine%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Alan%22%2C%22lastName%22%3A%22Barr%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Andrew%22%2C%22lastName%22%3A%22Black%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Alexandre%22%2C%22lastName%22%3A%22Langlois%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Oliver%22%2C%22lastName%22%3A%22Sonnentag%22%7D%5D%2C%22abstractNote%22%3A%22%22%2C%22date%22%3A%2202%5C%2F2020%22%2C%22language%22%3A%22en%22%2C%22DOI%22%3A%2210.1016%5C%2Fj.rse.2019.111542%22%2C%22ISSN%22%3A%2200344257%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Flinkinghub.elsevier.com%5C%2Fretrieve%5C%2Fpii%5C%2FS0034425719305620%22%2C%22collections%22%3A%5B%22F6MU4YF5%22%5D%2C%22dateModified%22%3A%222022-10-18T17%3A58%3A35Z%22%7D%7D%2C%7B%22key%22%3A%22IGR3NQNA%22%2C%22library%22%3A%7B%22id%22%3A2626991%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Mavrovic%20et%20al.%22%2C%22parsedDate%22%3A%222020%22%2C%22numChildren%22%3A0%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%202%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%5C%22%3E%5Cn%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%3EMavrovic%2C%20A.%2C%20Madore%2C%20J.-B.%2C%20Langlois%2C%20A.%2C%20Royer%2C%20A.%20et%20Roy%2C%20A.%20%282020%29%20%3Ca%20target%3D%27_blank%27%20href%3D%27https%3A%5C%2F%5C%2Fwww.sciencedirect.com%5C%2Fscience%5C%2Farticle%5C%2Fpii%5C%2FS0165232X19302733%27%3ESnow%20liquid%20water%20content%20measurement%20using%20an%20open-ended%20coaxial%20probe%20%28OECP%29%3C%5C%2Fa%3E.%20Cold%20Regions%20Science%20and%20Technology%2C%20vol.%20171%2C%20p.%20102958.%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Snow%20liquid%20water%20content%20measurement%20using%20an%20open-ended%20coaxial%20probe%20%28OECP%29%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Alex%22%2C%22lastName%22%3A%22Mavrovic%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Jean-Benoit%22%2C%22lastName%22%3A%22Madore%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Alexandre%22%2C%22lastName%22%3A%22Langlois%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Alain%22%2C%22lastName%22%3A%22Royer%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Alexandre%22%2C%22lastName%22%3A%22Roy%22%7D%5D%2C%22abstractNote%22%3A%22Accurately%20determining%20the%20evolution%20of%20the%20snow%20liquid%20water%20content%20%28LWC%29%20through%20the%20snowpack%20remains%20a%20challenge%20in%20avalanche%20risk%20assessment%20and%20microwave%20snow%20emission%20and%20backscattering%20modeling.%20The%20percolation%20of%20rain%20and%5C%2For%20snowmelt%20water%20can%20lead%20to%20instability%20in%20the%20snowpack%20and%20increase%20avalanche%20risk.%20Liquid%20water%20percolation%20schemes%20have%20recently%20been%20integrated%20into%20snow%20metamorphism%20models%2C%20but%20they%20require%20validation.%20Snow%20property%20retrievals%20from%20microwave%20observations%20%28satellite%20and%20ground-based%29%20are%20challenging%20in%20wet%20snow%20conditions%20because%20of%20the%20reduced%20penetration%20depth%2C%20and%20thus%20a%20better%20quantification%20of%20the%20effect%20of%20snow%20liquid%20water%20content%20on%20microwave%20signals%20would%20improve%20satellite%20products.%20This%20study%20presents%20a%20new%20open-ended%20coaxial%20probe%20%28OECP%29%20suitable%20for%20in%20situ%20snow%20LWC%20measurements%20at%20L-band%20frequencies%20%281%5Cu20132%5Cu00a0GHz%29.%20The%20precision%20of%20%5Cu00b11%25%20of%20the%20OECP%20compared%20to%20calorimetric%20measurements%20is%20similar%20to%20other%20available%20instruments%20tested%20%28Snow%20Fork%20and%20Time%20Domain%20Reflectometry%29.%20The%20OECP%20is%20capable%20of%20quantifying%20the%20LWC%20of%20thin%20percolation%20accumulation%20layers%20because%20of%20its%20small%20probed%20volume%2C%20while%20other%20instruments%20fail%20to%20do%20because%20of%20their%20bigger%20probed%20volume%20due%20to%20their%20lower%20frequencies%20used.%22%2C%22date%22%3A%222020%22%2C%22language%22%3A%22en%22%2C%22DOI%22%3A%2210.1016%5C%2Fj.coldregions.2019.102958%22%2C%22ISSN%22%3A%220165-232X%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Fwww.sciencedirect.com%5C%2Fscience%5C%2Farticle%5C%2Fpii%5C%2FS0165232X19302733%22%2C%22collections%22%3A%5B%22F6MU4YF5%22%5D%2C%22dateModified%22%3A%222022-10-18T18%3A49%3A57Z%22%7D%7D%2C%7B%22key%22%3A%22VH78ZXEW%22%2C%22library%22%3A%7B%22id%22%3A2626991%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Langlois%20et%20al.%22%2C%22parsedDate%22%3A%222020%22%2C%22numChildren%22%3A0%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%202%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%5C%22%3E%5Cn%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%3ELanglois%2C%20A.%2C%20Royer%2C%20A.%2C%20Montpetit%2C%20B.%2C%20Roy%2C%20A.%20et%20Durocher%2C%20M.%20%282020%29%20%3Ca%20target%3D%27_blank%27%20href%3D%27https%3A%5C%2F%5C%2Fwww.frontiersin.org%5C%2Farticle%5C%2F10.3389%5C%2Ffeart.2019.00347%5C%2Ffull%27%3EPresenting%20Snow%20Grain%20Size%20and%20Shape%20Distributions%20in%20Northern%20Canada%20Using%20a%20New%20Photographic%20Device%20Allowing%202D%20and%203D%20Representation%20of%20Snow%20Grains%3C%5C%2Fa%3E.%20Frontiers%20in%20Earth%20Science%2C%20vol.%207%2C%20p.%20347.%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Presenting%20Snow%20Grain%20Size%20and%20Shape%20Distributions%20in%20Northern%20Canada%20Using%20a%20New%20Photographic%20Device%20Allowing%202D%20and%203D%20Representation%20of%20Snow%20Grains%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Alexandre%22%2C%22lastName%22%3A%22Langlois%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Alain%22%2C%22lastName%22%3A%22Royer%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Benoit%22%2C%22lastName%22%3A%22Montpetit%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Alexandre%22%2C%22lastName%22%3A%22Roy%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Martin%22%2C%22lastName%22%3A%22Durocher%22%7D%5D%2C%22abstractNote%22%3A%22%22%2C%22date%22%3A%222020%22%2C%22language%22%3A%22%22%2C%22DOI%22%3A%2210.3389%5C%2Ffeart.2019.00347%22%2C%22ISSN%22%3A%222296-6463%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Fwww.frontiersin.org%5C%2Farticle%5C%2F10.3389%5C%2Ffeart.2019.00347%5C%2Ffull%22%2C%22collections%22%3A%5B%22F6MU4YF5%22%5D%2C%22dateModified%22%3A%222022-10-18T18%3A50%3A02Z%22%7D%7D%2C%7B%22key%22%3A%224GFPXDCU%22%2C%22library%22%3A%7B%22id%22%3A2626991%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Pomerleau%20et%20al.%22%2C%22parsedDate%22%3A%222020%22%2C%22numChildren%22%3A0%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%202%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%5C%22%3E%5Cn%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%3EPomerleau%2C%20P.%2C%20Royer%2C%20A.%2C%20Langlois%2C%20A.%2C%20Cliche%2C%20P.%2C%20Courtemanche%2C%20B.%2C%20Madore%2C%20J.-B.%2C%20Picard%2C%20G.%20et%20Lefebvre%2C%20%5Cu00c9.%20%282020%29%20%3Ca%20target%3D%27_blank%27%20href%3D%27https%3A%5C%2F%5C%2Fwww.mdpi.com%5C%2F1424-8220%5C%2F20%5C%2F14%5C%2F3909%27%3ELow%20Cost%20and%20Compact%20FMCW%2024%20GHz%20Radar%20Applications%20for%20Snowpack%20and%20Ice%20Thickness%20Measurements%3C%5C%2Fa%3E.%20Sensors%2C%20vol.%2020%2C%20n%5Cu00b014%2C%20p.%203909.%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Low%20Cost%20and%20Compact%20FMCW%2024%20GHz%20Radar%20Applications%20for%20Snowpack%20and%20Ice%20Thickness%20Measurements%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Patrick%22%2C%22lastName%22%3A%22Pomerleau%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Alain%22%2C%22lastName%22%3A%22Royer%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Alexandre%22%2C%22lastName%22%3A%22Langlois%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Patrick%22%2C%22lastName%22%3A%22Cliche%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Bruno%22%2C%22lastName%22%3A%22Courtemanche%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Jean-Beno%5Cu00eet%22%2C%22lastName%22%3A%22Madore%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Ghislain%22%2C%22lastName%22%3A%22Picard%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22%5Cu00c9ric%22%2C%22lastName%22%3A%22Lefebvre%22%7D%5D%2C%22abstractNote%22%3A%22Monitoring%20the%20evolution%20of%20snow%20on%20the%20ground%20and%20lake%20ice%5Cu2014two%20of%20the%20most%20important%20components%20of%20the%20changing%20northern%20environment%5Cu2014is%20essential.%20In%20this%20paper%2C%20we%20describe%20a%20lightweight%2C%20compact%20and%20autonomous%2024%20GHz%20frequency-modulated%20continuous-wave%20%28FMCW%29%20radar%20system%20for%20freshwater%20ice%20thickness%20and%20snow%20mass%20%28snow%20water%20equivalent%2C%20SWE%29%20measurements.%20Although%20FMCW%20radars%20have%20a%20long-established%20history%2C%20the%20novelty%20of%20this%20research%20lies%20in%20that%20we%20take%20advantage%20the%20availability%20of%20a%20new%20generation%20of%20low%20cost%20and%20low%20power%20requirement%20units%20that%20facilitates%20the%20monitoring%20of%20snow%20and%20ice%20at%20remote%20locations.%20Test%20performance%20%28accuracy%20and%20limitations%29%20is%20presented%20for%20five%20different%20applications%2C%20all%20using%20an%20automatic%20operating%20mode%20with%20improved%20signal%20processing%3A%20%281%29%20In%20situ%20lake%20ice%20thickness%20measurements%20giving%202%20cm%20accuracy%20up%20to%20%5Cu22481%20m%20ice%20thickness%20and%20a%20radar%20resolution%20of%204%20cm%3B%20%282%29%20remotely%20piloted%20aircraft-based%20lake%20ice%20thickness%20from%20low-altitude%20flight%20at%205%20m%3B%20%283%29%20in%20situ%20dry%20SWE%20measurements%20based%20on%20known%20snow%20depth%2C%20giving%2013%25%20accuracy%20%28RMSE%2020%25%29%20over%20boreal%20forest%2C%20subarctic%20taiga%20and%20Arctic%20tundra%2C%20with%20a%20measurement%20capability%20of%20up%20to%203%20m%20in%20snowpack%20thickness%3B%20%284%29%20continuous%20monitoring%20of%20surface%20snow%20density%20under%20particular%20Antarctic%20conditions%3B%20%285%29%20continuous%20SWE%20monitoring%20through%20the%20winter%20with%20a%20synchronized%20and%20collocated%20snow%20depth%20sensor%20%28ultrasonic%20or%20LiDAR%20sensor%29%2C%20giving%2013.5%25%20bias%20and%2025%20mm%20root%20mean%20square%20difference%20%28RMSD%29%20%2810%25%29%20for%20dry%20snow.%20The%20need%20for%20detection%20processing%20for%20wet%20snow%2C%20which%20strongly%20absorbs%20radar%20signals%2C%20is%20discussed.%20An%20appendix%20provides%2024%20GHz%20simulated%20effective%20refractive%20index%20and%20penetration%20depth%20as%20a%20function%20of%20a%20wide%20range%20of%20density%2C%20temperature%20and%20wetness%20for%20ice%20and%20snow.%22%2C%22date%22%3A%222020%22%2C%22language%22%3A%22en%22%2C%22DOI%22%3A%2210.3390%5C%2Fs20143909%22%2C%22ISSN%22%3A%221424-8220%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Fwww.mdpi.com%5C%2F1424-8220%5C%2F20%5C%2F14%5C%2F3909%22%2C%22collections%22%3A%5B%22F6MU4YF5%22%5D%2C%22dateModified%22%3A%222022-10-18T18%3A50%3A11Z%22%7D%7D%2C%7B%22key%22%3A%22YNLLHJFU%22%2C%22library%22%3A%7B%22id%22%3A2626991%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Kaluskar%20et%20al.%22%2C%22parsedDate%22%3A%222019%22%2C%22numChildren%22%3A0%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%202%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%5C%22%3E%5Cn%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%3EKaluskar%2C%20S.%2C%20Blukacz%5Cu2010Richards%2C%20E.%20A.%2C%20Johnson%2C%20C.%20A.%2C%20He%2C%20Y.%2C%20Langlois%2C%20A.%2C%20Kim%2C%20D.%20et%20Arhonditsis%2C%20G.%20%282019%29%20%3Ca%20target%3D%27_blank%27%20href%3D%27https%3A%5C%2F%5C%2Fonlinelibrary.wiley.com%5C%2Fdoi%5C%2F10.1002%5C%2Fecs2.2976%27%3EDevelopment%20of%20a%20model%20ensemble%20to%20predict%20Peary%20caribou%20populations%20in%20the%20Canadian%20Arctic%20Archipelago%3C%5C%2Fa%3E.%20Ecosphere%2C%20vol.%2010%2C%20n%5Cu00b012.%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Development%20of%20a%20model%20ensemble%20to%20predict%20Peary%20caribou%20populations%20in%20the%20Canadian%20Arctic%20Archipelago%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Samarth%22%2C%22lastName%22%3A%22Kaluskar%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22E.%20Agnes%22%2C%22lastName%22%3A%22Blukacz%5Cu2010Richards%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Cheryl%20Ann%22%2C%22lastName%22%3A%22Johnson%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Yuhong%22%2C%22lastName%22%3A%22He%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Alexandre%22%2C%22lastName%22%3A%22Langlois%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Dong%5Cu2010Kyun%22%2C%22lastName%22%3A%22Kim%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22George%22%2C%22lastName%22%3A%22Arhonditsis%22%7D%5D%2C%22abstractNote%22%3A%22%22%2C%22date%22%3A%2212%5C%2F2019%22%2C%22language%22%3A%22en%22%2C%22DOI%22%3A%2210.1002%5C%2Fecs2.2976%22%2C%22ISSN%22%3A%222150-8925%2C%202150-8925%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Fonlinelibrary.wiley.com%5C%2Fdoi%5C%2F10.1002%5C%2Fecs2.2976%22%2C%22collections%22%3A%5B%22F6MU4YF5%22%5D%2C%22dateModified%22%3A%222022-10-18T18%3A00%3A16Z%22%7D%7D%2C%7B%22key%22%3A%22VIEZX59M%22%2C%22library%22%3A%7B%22id%22%3A2626991%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Prince%20et%20al.%22%2C%22parsedDate%22%3A%222019%22%2C%22numChildren%22%3A0%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%202%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%5C%22%3E%5Cn%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%3EPrince%2C%20M.%2C%20Roy%2C%20A.%2C%20Royer%2C%20A.%20et%20Langlois%2C%20A.%20%282019%29%20%3Ca%20target%3D%27_blank%27%20href%3D%27https%3A%5C%2F%5C%2Flinkinghub.elsevier.com%5C%2Fretrieve%5C%2Fpii%5C%2FS0034425719302494%27%3ETiming%20and%20spatial%20variability%20of%20fall%20soil%20freezing%20in%20boreal%20forest%20and%20its%20effect%20on%20SMAP%20L-band%20radiometer%20measurements%3C%5C%2Fa%3E.%20Remote%20Sensing%20of%20Environment%2C%20vol.%20231%2C%20p.%20111230.%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Timing%20and%20spatial%20variability%20of%20fall%20soil%20freezing%20in%20boreal%20forest%20and%20its%20effect%20on%20SMAP%20L-band%20radiometer%20measurements%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Michael%22%2C%22lastName%22%3A%22Prince%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Alexandre%22%2C%22lastName%22%3A%22Roy%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Alain%22%2C%22lastName%22%3A%22Royer%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Alexandre%22%2C%22lastName%22%3A%22Langlois%22%7D%5D%2C%22abstractNote%22%3A%22%22%2C%22date%22%3A%2209%5C%2F2019%22%2C%22language%22%3A%22en%22%2C%22DOI%22%3A%2210.1016%5C%2Fj.rse.2019.111230%22%2C%22ISSN%22%3A%2200344257%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Flinkinghub.elsevier.com%5C%2Fretrieve%5C%2Fpii%5C%2FS0034425719302494%22%2C%22collections%22%3A%5B%22F6MU4YF5%22%5D%2C%22dateModified%22%3A%222022-10-18T18%3A03%3A08Z%22%7D%7D%2C%7B%22key%22%3A%22BSAMD3DI%22%2C%22library%22%3A%7B%22id%22%3A2626991%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Domine%20et%20al.%22%2C%22parsedDate%22%3A%222019%22%2C%22numChildren%22%3A0%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%202%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%5C%22%3E%5Cn%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%3EDomine%2C%20F.%2C%20Picard%2C%20G.%2C%20Morin%2C%20S.%2C%20Barrere%2C%20M.%2C%20Madore%2C%20J.-B.%20et%20Langlois%2C%20A.%20%282019%29%20%3Ca%20target%3D%27_blank%27%20href%3D%27http%3A%5C%2F%5C%2Fdoi.wiley.com%5C%2F10.1029%5C%2F2018MS001445%27%3EMajor%20Issues%20in%20Simulating%20Some%20Arctic%20Snowpack%20Properties%20Using%20Current%20Detailed%20Snow%20Physics%20Models%3A%20Consequences%20for%20the%20Thermal%20Regime%20and%20Water%20Budget%20of%20Permafrost%3C%5C%2Fa%3E.%20Journal%20of%20Advances%20in%20Modeling%20Earth%20Systems%2C%20vol.%2011%2C%20n%5Cu00b01%2C%20p.%2034%5Cu201144.%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Major%20Issues%20in%20Simulating%20Some%20Arctic%20Snowpack%20Properties%20Using%20Current%20Detailed%20Snow%20Physics%20Models%3A%20Consequences%20for%20the%20Thermal%20Regime%20and%20Water%20Budget%20of%20Permafrost%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Florent%22%2C%22lastName%22%3A%22Domine%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Ghislain%22%2C%22lastName%22%3A%22Picard%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Samuel%22%2C%22lastName%22%3A%22Morin%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Mathieu%22%2C%22lastName%22%3A%22Barrere%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Jean-Beno%5Cu00eet%22%2C%22lastName%22%3A%22Madore%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Alexandre%22%2C%22lastName%22%3A%22Langlois%22%7D%5D%2C%22abstractNote%22%3A%22%22%2C%22date%22%3A%2201%5C%2F2019%22%2C%22language%22%3A%22en%22%2C%22DOI%22%3A%2210.1029%5C%2F2018MS001445%22%2C%22ISSN%22%3A%2219422466%22%2C%22url%22%3A%22http%3A%5C%2F%5C%2Fdoi.wiley.com%5C%2F10.1029%5C%2F2018MS001445%22%2C%22collections%22%3A%5B%22F6MU4YF5%22%5D%2C%22dateModified%22%3A%222022-10-18T18%3A02%3A57Z%22%7D%7D%2C%7B%22key%22%3A%22MX7GFES2%22%2C%22library%22%3A%7B%22id%22%3A2626991%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Kramer%20et%20al.%22%2C%22parsedDate%22%3A%222019%22%2C%22numChildren%22%3A0%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%202%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%5C%22%3E%5Cn%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%3EKramer%2C%20D.%2C%20Meloche%2C%20J.%2C%20Langlois%2C%20A.%2C%20McLennan%2C%20D.%2C%20Chapdelaine%2C%20B.%2C%20Gauthier%20Barrette%2C%20C.%2C%20Royer%2C%20A.%20et%20Cliche%2C%20P.%20%282019%29%20%3Ca%20target%3D%27_blank%27%20href%3D%27https%3A%5C%2F%5C%2Fwww.canada.ca%5C%2Fcontent%5C%2Fdam%5C%2Fpolar-polaire%5C%2Fdocuments%5C%2Fpdf%5C%2Fpublications%5C%2Faqhaliat%5C%2F2019%5C%2Fdyi-uav.pdf%27%3EDesigning%20a%20Do-It-Yourself%20Unmanned%20aerial%20Vehicle%20for%20Arctic%20research%20purposes%20and%20proving%20its%20capabilities%20by%20retrieving%20snow%20depth%20via%20structure-from-motion%3C%5C%2Fa%3E.%20Aqhaliat%202019%2C%20Polar%5CnKnowledge%20Canada%2C%20p.%2043%5Cu201162.%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Designing%20a%20Do-It-Yourself%20Unmanned%20aerial%20Vehicle%20for%20Arctic%20research%20purposes%20and%20proving%20its%20capabilities%20by%20retrieving%20snow%20depth%20via%20structure-from-motion%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Daniel%22%2C%22lastName%22%3A%22Kramer%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Julien%22%2C%22lastName%22%3A%22Meloche%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Alexandre%22%2C%22lastName%22%3A%22Langlois%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Donnald%22%2C%22lastName%22%3A%22McLennan%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22B.%22%2C%22lastName%22%3A%22Chapdelaine%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Coralie%22%2C%22lastName%22%3A%22Gauthier%20Barrette%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Alain%22%2C%22lastName%22%3A%22Royer%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Patrick%22%2C%22lastName%22%3A%22Cliche%22%7D%5D%2C%22abstractNote%22%3A%22%22%2C%22date%22%3A%222019%22%2C%22language%22%3A%22%22%2C%22DOI%22%3A%2210.35298%5C%2Fpkc.2019.05%22%2C%22ISSN%22%3A%22%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Fwww.canada.ca%5C%2Fcontent%5C%2Fdam%5C%2Fpolar-polaire%5C%2Fdocuments%5C%2Fpdf%5C%2Fpublications%5C%2Faqhaliat%5C%2F2019%5C%2Fdyi-uav.pdf%22%2C%22collections%22%3A%5B%22F6MU4YF5%22%5D%2C%22dateModified%22%3A%222022-10-18T18%3A07%3A25Z%22%7D%7D%2C%7B%22key%22%3A%22MWRKFKUS%22%2C%22library%22%3A%7B%22id%22%3A2626991%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22King%20et%20al.%22%2C%22parsedDate%22%3A%222018%22%2C%22numChildren%22%3A0%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%202%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%5C%22%3E%5Cn%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%3EKing%2C%20J.%2C%20Derksen%2C%20C.%2C%20Toose%2C%20P.%2C%20Langlois%2C%20A.%2C%20Larsen%2C%20C.%2C%20Lemmetyinen%2C%20J.%2C%20Marsh%2C%20P.%2C%20Montpetit%2C%20B.%2C%20Roy%2C%20A.%2C%20Rutter%2C%20N.%20et%20Sturm%2C%20M.%20%282018%29%20%3Ca%20target%3D%27_blank%27%20href%3D%27https%3A%5C%2F%5C%2Flinkinghub.elsevier.com%5C%2Fretrieve%5C%2Fpii%5C%2FS003442571830258X%27%3EThe%20influence%20of%20snow%20microstructure%20on%20dual-frequency%20radar%20measurements%20in%20a%20tundra%20environment%3C%5C%2Fa%3E.%20Remote%20Sensing%20of%20Environment%2C%20vol.%20215%2C%20p.%20242%5Cu2011254.%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22The%20influence%20of%20snow%20microstructure%20on%20dual-frequency%20radar%20measurements%20in%20a%20tundra%20environment%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Joshua%22%2C%22lastName%22%3A%22King%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Chris%22%2C%22lastName%22%3A%22Derksen%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Peter%22%2C%22lastName%22%3A%22Toose%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Alexandre%22%2C%22lastName%22%3A%22Langlois%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Chris%22%2C%22lastName%22%3A%22Larsen%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Juha%22%2C%22lastName%22%3A%22Lemmetyinen%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Phil%22%2C%22lastName%22%3A%22Marsh%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Benoit%22%2C%22lastName%22%3A%22Montpetit%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Alexandre%22%2C%22lastName%22%3A%22Roy%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Nick%22%2C%22lastName%22%3A%22Rutter%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Matthew%22%2C%22lastName%22%3A%22Sturm%22%7D%5D%2C%22abstractNote%22%3A%22%22%2C%22date%22%3A%2209%5C%2F2018%22%2C%22language%22%3A%22en%22%2C%22DOI%22%3A%2210.1016%5C%2Fj.rse.2018.05.028%22%2C%22ISSN%22%3A%2200344257%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Flinkinghub.elsevier.com%5C%2Fretrieve%5C%2Fpii%5C%2FS003442571830258X%22%2C%22collections%22%3A%5B%22F6MU4YF5%22%5D%2C%22dateModified%22%3A%222022-10-18T18%3A09%3A52Z%22%7D%7D%2C%7B%22key%22%3A%22CPB9VABY%22%2C%22library%22%3A%7B%22id%22%3A2626991%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Montpetit%20et%20al.%22%2C%22parsedDate%22%3A%222018%22%2C%22numChildren%22%3A0%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%202%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%5C%22%3E%5Cn%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%3EMontpetit%2C%20B.%2C%20Royer%2C%20A.%2C%20Roy%2C%20A.%20et%20Langlois%2C%20A.%20%282018%29%20%3Ca%20target%3D%27_blank%27%20href%3D%27https%3A%5C%2F%5C%2Flinkinghub.elsevier.com%5C%2Fretrieve%5C%2Fpii%5C%2FS0034425717304972%27%3EIn-situ%20passive%20microwave%20emission%20model%20parameterization%20of%20sub-arctic%20frozen%20organic%20soils%3C%5C%2Fa%3E.%20Remote%20Sensing%20of%20Environment%2C%20vol.%20205%2C%20p.%20112%5Cu2011118.%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22In-situ%20passive%20microwave%20emission%20model%20parameterization%20of%20sub-arctic%20frozen%20organic%20soils%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22B.%22%2C%22lastName%22%3A%22Montpetit%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22A.%22%2C%22lastName%22%3A%22Royer%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22A.%22%2C%22lastName%22%3A%22Roy%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22A.%22%2C%22lastName%22%3A%22Langlois%22%7D%5D%2C%22abstractNote%22%3A%22%22%2C%22date%22%3A%2202%5C%2F2018%22%2C%22language%22%3A%22en%22%2C%22DOI%22%3A%2210.1016%5C%2Fj.rse.2017.10.033%22%2C%22ISSN%22%3A%2200344257%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Flinkinghub.elsevier.com%5C%2Fretrieve%5C%2Fpii%5C%2FS0034425717304972%22%2C%22collections%22%3A%5B%22F6MU4YF5%22%5D%2C%22dateModified%22%3A%222022-10-18T18%3A11%3A41Z%22%7D%7D%2C%7B%22key%22%3A%22GY29BWL2%22%2C%22library%22%3A%7B%22id%22%3A2626991%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Lyu%20et%20al.%22%2C%22parsedDate%22%3A%222018%22%2C%22numChildren%22%3A0%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%202%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%5C%22%3E%5Cn%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%3ELyu%2C%20H.%2C%20McColl%2C%20K.%20A.%2C%20Li%2C%20X.%2C%20Derksen%2C%20C.%2C%20Berg%2C%20A.%2C%20Black%2C%20T.%20A.%2C%20Euskirchen%2C%20E.%2C%20Loranty%2C%20M.%2C%20Pulliainen%2C%20J.%2C%20Rautiainen%2C%20K.%2C%20Rowlandson%2C%20T.%2C%20Roy%2C%20A.%2C%20Royer%2C%20A.%2C%20Langlois%2C%20A.%2C%20Stephens%2C%20J.%2C%20Lu%2C%20H.%20et%20Entekhabi%2C%20D.%20%282018%29%20%3Ca%20target%3D%27_blank%27%20href%3D%27https%3A%5C%2F%5C%2Flinkinghub.elsevier.com%5C%2Fretrieve%5C%2Fpii%5C%2FS0034425717305783%27%3EValidation%20of%20the%20SMAP%20freeze%5C%2Fthaw%20product%20using%20categorical%20triple%20collocation%3C%5C%2Fa%3E.%20Remote%20Sensing%20of%20Environment%2C%20vol.%20205%2C%20p.%20329%5Cu2011337.%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Validation%20of%20the%20SMAP%20freeze%5C%2Fthaw%20product%20using%20categorical%20triple%20collocation%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Haobo%22%2C%22lastName%22%3A%22Lyu%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Kaighin%20A.%22%2C%22lastName%22%3A%22McColl%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Xinlu%22%2C%22lastName%22%3A%22Li%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Chris%22%2C%22lastName%22%3A%22Derksen%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Aaron%22%2C%22lastName%22%3A%22Berg%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22T.%20Andrew%22%2C%22lastName%22%3A%22Black%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Eugenie%22%2C%22lastName%22%3A%22Euskirchen%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Michael%22%2C%22lastName%22%3A%22Loranty%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Jouni%22%2C%22lastName%22%3A%22Pulliainen%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Kimmo%22%2C%22lastName%22%3A%22Rautiainen%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Tracy%22%2C%22lastName%22%3A%22Rowlandson%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Alexandre%22%2C%22lastName%22%3A%22Roy%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Alain%22%2C%22lastName%22%3A%22Royer%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Alexandre%22%2C%22lastName%22%3A%22Langlois%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Jilmarie%22%2C%22lastName%22%3A%22Stephens%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Hui%22%2C%22lastName%22%3A%22Lu%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Dara%22%2C%22lastName%22%3A%22Entekhabi%22%7D%5D%2C%22abstractNote%22%3A%22%22%2C%22date%22%3A%2202%5C%2F2018%22%2C%22language%22%3A%22en%22%2C%22DOI%22%3A%2210.1016%5C%2Fj.rse.2017.12.007%22%2C%22ISSN%22%3A%2200344257%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Flinkinghub.elsevier.com%5C%2Fretrieve%5C%2Fpii%5C%2FS0034425717305783%22%2C%22collections%22%3A%5B%22F6MU4YF5%22%5D%2C%22dateModified%22%3A%222022-10-18T18%3A11%3A14Z%22%7D%7D%2C%7B%22key%22%3A%22XQLWSI46%22%2C%22library%22%3A%7B%22id%22%3A2626991%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Marchand%20et%20al.%22%2C%22parsedDate%22%3A%222018%22%2C%22numChildren%22%3A0%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%202%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%5C%22%3E%5Cn%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%3EMarchand%2C%20N.%2C%20Royer%2C%20A.%2C%20Krinner%2C%20G.%2C%20Roy%2C%20A.%2C%20Langlois%2C%20A.%20et%20Vargel%2C%20C.%20%282018%29%20%3Ca%20target%3D%27_blank%27%20href%3D%27http%3A%5C%2F%5C%2Fwww.mdpi.com%5C%2F2072-4292%5C%2F10%5C%2F11%5C%2F1703%27%3ESnow-Covered%20Soil%20Temperature%20Retrieval%20in%20Canadian%20Arctic%20Permafrost%20Areas%2C%20Using%20a%20Land%20Surface%20Scheme%20Informed%20with%20Satellite%20Remote%20Sensing%20Data%3C%5C%2Fa%3E.%20Remote%20Sensing%2C%20vol.%2010%2C%20n%5Cu00b011%2C%20p.%201703.%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Snow-Covered%20Soil%20Temperature%20Retrieval%20in%20Canadian%20Arctic%20Permafrost%20Areas%2C%20Using%20a%20Land%20Surface%20Scheme%20Informed%20with%20Satellite%20Remote%20Sensing%20Data%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Nicolas%22%2C%22lastName%22%3A%22Marchand%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Alain%22%2C%22lastName%22%3A%22Royer%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Gerhard%22%2C%22lastName%22%3A%22Krinner%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Alexandre%22%2C%22lastName%22%3A%22Roy%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Alexandre%22%2C%22lastName%22%3A%22Langlois%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22C%5Cu00e9line%22%2C%22lastName%22%3A%22Vargel%22%7D%5D%2C%22abstractNote%22%3A%22High-latitude%20areas%20are%20very%20sensitive%20to%20global%20warming%2C%20which%20has%20significant%20impacts%20on%20soil%20temperatures%20and%20associated%20processes%20governing%20permafrost%20evolution.%20This%20study%20aims%20to%20improve%20first-layer%20soil%20temperature%20retrievals%20during%20winter.%20This%20key%20surface%20state%20variable%20is%20strongly%20affected%20by%20snow%5Cu2019s%20geophysical%20properties%20and%20their%20associated%20uncertainties%20%28e.g.%2C%20thermal%20conductivity%29%20in%20land%20surface%20climate%20models.%20We%20used%20infrared%20MODIS%20land-surface%20temperatures%20%28LST%29%20and%20Advanced%20Microwave%20Scanning%20Radiometer%20for%20EOS%20%28AMSR-E%29%20brightness%20temperatures%20%28Tb%29%20at%2010.7%20and%2018.7%20GHz%20to%20constrain%20the%20Canadian%20Land%20Surface%20Scheme%20%28CLASS%29%2C%20driven%20by%20meteorological%20reanalysis%20data%20and%20coupled%20with%20a%20simple%20radiative%20transfer%20model.%20The%20Tb%20polarization%20ratio%20%28horizontal%5C%2Fvertical%29%20at%2010.7%20GHz%20was%20selected%20to%20improve%20snowpack%20density%2C%20which%20is%20linked%20to%20the%20thermal%20conductivity%20representation%20in%20the%20model.%20Referencing%20meteorological%20station%20soil%20temperature%20measurements%2C%20we%20validated%20the%20approach%20at%20four%20different%20sites%20in%20the%20North%20American%20tundra%20over%20a%20period%20of%20up%20to%208%20years.%20Results%20show%20that%20the%20proposed%20method%20improves%20simulations%20of%20the%20soil%20temperature%20under%20snow%20%28Tg%29%20by%2064%25%20when%20using%20remote%20sensing%20%28RS%29%20data%20to%20constrain%20the%20model%2C%20compared%20to%20model%20outputs%20without%20satellite%20data%20information.%20The%20root%20mean%20square%20error%20%28RMSE%29%20between%20measured%20and%20simulated%20Tg%20under%20the%20snow%20ranges%20from%201.8%20to%203.5%20K%20when%20using%20RS%20data.%20Improved%20temporal%20monitoring%20of%20the%20soil%20thermal%20state%2C%20along%20with%20changes%20in%20snow%20properties%2C%20will%20improve%20our%20understanding%20of%20the%20various%20processes%20governing%20soil%20biological%2C%20hydrological%2C%20and%20permafrost%20evolution.%22%2C%22date%22%3A%222018%22%2C%22language%22%3A%22en%22%2C%22DOI%22%3A%2210.3390%5C%2Frs10111703%22%2C%22ISSN%22%3A%222072-4292%22%2C%22url%22%3A%22http%3A%5C%2F%5C%2Fwww.mdpi.com%5C%2F2072-4292%5C%2F10%5C%2F11%5C%2F1703%22%2C%22collections%22%3A%5B%22F6MU4YF5%22%5D%2C%22dateModified%22%3A%222022-10-18T18%3A49%3A53Z%22%7D%7D%2C%7B%22key%22%3A%2225DH7LEL%22%2C%22library%22%3A%7B%22id%22%3A2626991%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Dolant%20et%20al.%22%2C%22parsedDate%22%3A%222018%22%2C%22numChildren%22%3A0%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%202%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%5C%22%3E%5Cn%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%3EDolant%2C%20C.%2C%20Langlois%2C%20A.%2C%20Brucker%2C%20L.%2C%20Royer%2C%20A.%2C%20Roy%2C%20A.%20et%20Montpetit%2C%20B.%20%282018%29%20%3Ca%20target%3D%27_blank%27%20href%3D%27https%3A%5C%2F%5C%2Fwww.tandfonline.com%5C%2Fdoi%5C%2Ffull%5C%2F10.1080%5C%2F02723646.2017.1400339%27%3EMeteorological%20inventory%20of%20rain-on-snow%20events%20in%20the%20Canadian%20Arctic%20Archipelago%20and%20satellite%20detection%20assessment%20using%20passive%20microwave%20data%3C%5C%2Fa%3E.%20Physical%20Geography%2C%20vol.%2039%2C%20n%5Cu00b05%2C%20p.%20428%5Cu2011444.%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Meteorological%20inventory%20of%20rain-on-snow%20events%20in%20the%20Canadian%20Arctic%20Archipelago%20and%20satellite%20detection%20assessment%20using%20passive%20microwave%20data%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Caroline%22%2C%22lastName%22%3A%22Dolant%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22A.%22%2C%22lastName%22%3A%22Langlois%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22L.%22%2C%22lastName%22%3A%22Brucker%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22A.%22%2C%22lastName%22%3A%22Royer%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22A.%22%2C%22lastName%22%3A%22Roy%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22B.%22%2C%22lastName%22%3A%22Montpetit%22%7D%5D%2C%22abstractNote%22%3A%22%22%2C%22date%22%3A%222018%22%2C%22language%22%3A%22en%22%2C%22DOI%22%3A%2210.1080%5C%2F02723646.2017.1400339%22%2C%22ISSN%22%3A%220272-3646%2C%201930-0557%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Fwww.tandfonline.com%5C%2Fdoi%5C%2Ffull%5C%2F10.1080%5C%2F02723646.2017.1400339%22%2C%22collections%22%3A%5B%22F6MU4YF5%22%5D%2C%22dateModified%22%3A%222022-10-18T18%3A49%3A41Z%22%7D%7D%2C%7B%22key%22%3A%222SHMLU7N%22%2C%22library%22%3A%7B%22id%22%3A2626991%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Madore%20et%20al.%22%2C%22parsedDate%22%3A%222018%22%2C%22numChildren%22%3A0%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%202%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%5C%22%3E%5Cn%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%3EMadore%2C%20J.-B.%2C%20Langlois%2C%20A.%20et%20C%5Cu00f4t%5Cu00e9%2C%20K.%20%282018%29%20%3Ca%20target%3D%27_blank%27%20href%3D%27https%3A%5C%2F%5C%2Fwww.tandfonline.com%5C%2Fdoi%5C%2Ffull%5C%2F10.1080%5C%2F02723646.2018.1472984%27%3EEvaluation%20of%20the%20SNOWPACK%20model%27s%20metamorphism%20and%20microstructure%20in%20Canada%3A%20a%20case%20study%3C%5C%2Fa%3E.%20Physical%20Geography%2C%20vol.%2039%2C%20n%5Cu00b05%2C%20p.%20406%5Cu2011427.%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Evaluation%20of%20the%20SNOWPACK%20model%27s%20metamorphism%20and%20microstructure%20in%20Canada%3A%20a%20case%20study%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Jean-Benoit%22%2C%22lastName%22%3A%22Madore%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Alexandre%22%2C%22lastName%22%3A%22Langlois%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Kevin%22%2C%22lastName%22%3A%22C%5Cu00f4t%5Cu00e9%22%7D%5D%2C%22abstractNote%22%3A%22%22%2C%22date%22%3A%222018%22%2C%22language%22%3A%22en%22%2C%22DOI%22%3A%2210.1080%5C%2F02723646.2018.1472984%22%2C%22ISSN%22%3A%220272-3646%2C%201930-0557%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Fwww.tandfonline.com%5C%2Fdoi%5C%2Ffull%5C%2F10.1080%5C%2F02723646.2018.1472984%22%2C%22collections%22%3A%5B%22F6MU4YF5%22%5D%2C%22dateModified%22%3A%222022-10-18T18%3A49%3A44Z%22%7D%7D%2C%7B%22key%22%3A%22AUAS8FJ3%22%2C%22library%22%3A%7B%22id%22%3A2626991%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Dolant%20et%20al.%22%2C%22parsedDate%22%3A%222018%22%2C%22numChildren%22%3A0%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%202%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%5C%22%3E%5Cn%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%3EDolant%2C%20C.%2C%20Montpetit%2C%20B.%2C%20Langlois%2C%20A.%2C%20Brucker%2C%20L.%2C%20Zolina%2C%20O.%2C%20Johnson%2C%20C.%20A.%2C%20Royer%2C%20A.%20et%20Smith%2C%20P.%20%282018%29%20%3Ca%20target%3D%27_blank%27%20href%3D%27https%3A%5C%2F%5C%2Fonlinelibrary.wiley.com%5C%2Fdoi%5C%2F10.1029%5C%2F2017GL076752%27%3EAssessment%20of%20the%20Barren%20Ground%20Caribou%20Die%5Cu2010off%20During%20Winter%202015%5Cu20132016%20Using%20Passive%20Microwave%20Observations%3C%5C%2Fa%3E.%20Geophysical%20Research%20Letters%2C%20vol.%2045%2C%20n%5Cu00b010%2C%20p.%204908%5Cu20114916.%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Assessment%20of%20the%20Barren%20Ground%20Caribou%20Die%5Cu2010off%20During%20Winter%202015%5Cu20132016%20Using%20Passive%20Microwave%20Observations%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22C.%22%2C%22lastName%22%3A%22Dolant%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22B.%22%2C%22lastName%22%3A%22Montpetit%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22A.%22%2C%22lastName%22%3A%22Langlois%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22L.%22%2C%22lastName%22%3A%22Brucker%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22O.%22%2C%22lastName%22%3A%22Zolina%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22C.%20A.%22%2C%22lastName%22%3A%22Johnson%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22A.%22%2C%22lastName%22%3A%22Royer%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22P.%22%2C%22lastName%22%3A%22Smith%22%7D%5D%2C%22abstractNote%22%3A%22%22%2C%22date%22%3A%222018%22%2C%22language%22%3A%22en%22%2C%22DOI%22%3A%2210.1029%5C%2F2017GL076752%22%2C%22ISSN%22%3A%220094-8276%2C%201944-8007%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Fonlinelibrary.wiley.com%5C%2Fdoi%5C%2F10.1029%5C%2F2017GL076752%22%2C%22collections%22%3A%5B%22F6MU4YF5%22%5D%2C%22dateModified%22%3A%222022-10-18T18%3A49%3A50Z%22%7D%7D%2C%7B%22key%22%3A%22V7L3XPQB%22%2C%22library%22%3A%7B%22id%22%3A2626991%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Larue%20et%20al.%22%2C%22parsedDate%22%3A%222017%22%2C%22numChildren%22%3A0%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%202%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%5C%22%3E%5Cn%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%3ELarue%2C%20F.%2C%20Royer%2C%20A.%2C%20De%20S%5Cu00e8ve%2C%20D.%2C%20Langlois%2C%20A.%2C%20Roy%2C%20A.%20et%20Brucker%2C%20L.%20%282017%29%20%3Ca%20target%3D%27_blank%27%20href%3D%27https%3A%5C%2F%5C%2Flinkinghub.elsevier.com%5C%2Fretrieve%5C%2Fpii%5C%2FS003442571730130X%27%3EValidation%20of%20GlobSnow-2%20snow%20water%20equivalent%20over%20Eastern%20Canada%3C%5C%2Fa%3E.%20Remote%20Sensing%20of%20Environment%2C%20vol.%20194%2C%20p.%20264%5Cu2011277.%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Validation%20of%20GlobSnow-2%20snow%20water%20equivalent%20over%20Eastern%20Canada%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Fanny%22%2C%22lastName%22%3A%22Larue%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Alain%22%2C%22lastName%22%3A%22Royer%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Danielle%22%2C%22lastName%22%3A%22De%20S%5Cu00e8ve%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Alexandre%22%2C%22lastName%22%3A%22Langlois%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Alexandre%22%2C%22lastName%22%3A%22Roy%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Ludovic%22%2C%22lastName%22%3A%22Brucker%22%7D%5D%2C%22abstractNote%22%3A%22%22%2C%22date%22%3A%2206%5C%2F2017%22%2C%22language%22%3A%22en%22%2C%22DOI%22%3A%2210.1016%5C%2Fj.rse.2017.03.027%22%2C%22ISSN%22%3A%2200344257%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Flinkinghub.elsevier.com%5C%2Fretrieve%5C%2Fpii%5C%2FS003442571730130X%22%2C%22collections%22%3A%5B%22F6MU4YF5%22%5D%2C%22dateModified%22%3A%222022-10-18T18%3A16%3A01Z%22%7D%7D%2C%7B%22key%22%3A%22KMBZSMDH%22%2C%22library%22%3A%7B%22id%22%3A2626991%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Derksen%20et%20al.%22%2C%22parsedDate%22%3A%222017%22%2C%22numChildren%22%3A0%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%202%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%5C%22%3E%5Cn%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%3EDerksen%2C%20C.%2C%20Xu%2C%20X.%2C%20Scott%20Dunbar%2C%20R.%2C%20Colliander%2C%20A.%2C%20Kim%2C%20Y.%2C%20Kimball%2C%20J.%20S.%2C%20Black%2C%20T.%20A.%2C%20Euskirchen%2C%20E.%2C%20Langlois%2C%20A.%2C%20Loranty%2C%20M.%20M.%2C%20Marsh%2C%20P.%2C%20Rautiainen%2C%20K.%2C%20Roy%2C%20A.%2C%20Royer%2C%20A.%20et%20Stephens%2C%20J.%20%282017%29%20%3Ca%20target%3D%27_blank%27%20href%3D%27https%3A%5C%2F%5C%2Flinkinghub.elsevier.com%5C%2Fretrieve%5C%2Fpii%5C%2FS0034425717300998%27%3ERetrieving%20landscape%20freeze%5C%2Fthaw%20state%20from%20Soil%20Moisture%20Active%20Passive%20%28SMAP%29%20radar%20and%20radiometer%20measurements%3C%5C%2Fa%3E.%20Remote%20Sensing%20of%20Environment%2C%20vol.%20194%2C%20p.%2048%5Cu201162.%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Retrieving%20landscape%20freeze%5C%2Fthaw%20state%20from%20Soil%20Moisture%20Active%20Passive%20%28SMAP%29%20radar%20and%20radiometer%20measurements%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Chris%22%2C%22lastName%22%3A%22Derksen%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Xiaolan%22%2C%22lastName%22%3A%22Xu%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22R.%22%2C%22lastName%22%3A%22Scott%20Dunbar%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Andreas%22%2C%22lastName%22%3A%22Colliander%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Youngwook%22%2C%22lastName%22%3A%22Kim%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22John%20S.%22%2C%22lastName%22%3A%22Kimball%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22T.%20Andrew%22%2C%22lastName%22%3A%22Black%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Eugenie%22%2C%22lastName%22%3A%22Euskirchen%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Alexandre%22%2C%22lastName%22%3A%22Langlois%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Michael%20M.%22%2C%22lastName%22%3A%22Loranty%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Philip%22%2C%22lastName%22%3A%22Marsh%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Kimmo%22%2C%22lastName%22%3A%22Rautiainen%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Alexandre%22%2C%22lastName%22%3A%22Roy%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Alain%22%2C%22lastName%22%3A%22Royer%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Jilmarie%22%2C%22lastName%22%3A%22Stephens%22%7D%5D%2C%22abstractNote%22%3A%22%22%2C%22date%22%3A%2206%5C%2F2017%22%2C%22language%22%3A%22en%22%2C%22DOI%22%3A%2210.1016%5C%2Fj.rse.2017.03.007%22%2C%22ISSN%22%3A%2200344257%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Flinkinghub.elsevier.com%5C%2Fretrieve%5C%2Fpii%5C%2FS0034425717300998%22%2C%22collections%22%3A%5B%22F6MU4YF5%22%5D%2C%22dateModified%22%3A%222022-10-18T18%3A15%3A37Z%22%7D%7D%2C%7B%22key%22%3A%22BP7RL3QI%22%2C%22library%22%3A%7B%22id%22%3A2626991%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Royer%20et%20al.%22%2C%22parsedDate%22%3A%222017%22%2C%22numChildren%22%3A0%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%202%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%5C%22%3E%5Cn%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%3ERoyer%2C%20A.%2C%20Roy%2C%20A.%2C%20Montpetit%2C%20B.%2C%20Saint-Jean-Rondeau%2C%20O.%2C%20Picard%2C%20G.%2C%20Brucker%2C%20L.%20et%20Langlois%2C%20A.%20%282017%29%20%3Ca%20target%3D%27_blank%27%20href%3D%27https%3A%5C%2F%5C%2Flinkinghub.elsevier.com%5C%2Fretrieve%5C%2Fpii%5C%2FS0034425716304990%27%3EComparison%20of%20commonly-used%20microwave%20radiative%20transfer%20models%20for%20snow%20remote%20sensing%3C%5C%2Fa%3E.%20Remote%20Sensing%20of%20Environment%2C%20vol.%20190%2C%20p.%20247%5Cu2011259.%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Comparison%20of%20commonly-used%20microwave%20radiative%20transfer%20models%20for%20snow%20remote%20sensing%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Alain%22%2C%22lastName%22%3A%22Royer%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Alexandre%22%2C%22lastName%22%3A%22Roy%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Benoit%22%2C%22lastName%22%3A%22Montpetit%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Olivier%22%2C%22lastName%22%3A%22Saint-Jean-Rondeau%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Ghislain%22%2C%22lastName%22%3A%22Picard%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Ludovic%22%2C%22lastName%22%3A%22Brucker%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Alexandre%22%2C%22lastName%22%3A%22Langlois%22%7D%5D%2C%22abstractNote%22%3A%22%22%2C%22date%22%3A%2203%5C%2F2017%22%2C%22language%22%3A%22en%22%2C%22DOI%22%3A%2210.1016%5C%2Fj.rse.2016.12.020%22%2C%22ISSN%22%3A%2200344257%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Flinkinghub.elsevier.com%5C%2Fretrieve%5C%2Fpii%5C%2FS0034425716304990%22%2C%22collections%22%3A%5B%22F6MU4YF5%22%5D%2C%22dateModified%22%3A%222022-10-18T18%3A15%3A08Z%22%7D%7D%2C%7B%22key%22%3A%22PH72IDYM%22%2C%22library%22%3A%7B%22id%22%3A2626991%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Langlois%20et%20al.%22%2C%22parsedDate%22%3A%222017%22%2C%22numChildren%22%3A0%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%202%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%5C%22%3E%5Cn%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%3ELanglois%2C%20A.%2C%20Johnson%2C%20C.-A.%2C%20Montpetit%2C%20B.%2C%20Royer%2C%20A.%2C%20Blukacz-Richards%2C%20E.%20A.%2C%20Neave%2C%20E.%2C%20Dolant%2C%20C.%2C%20Roy%2C%20A.%2C%20Arhonditsis%2C%20G.%2C%20Kim%2C%20D.-K.%2C%20Kaluskar%2C%20S.%20et%20Brucker%2C%20L.%20%282017%29%20%3Ca%20target%3D%27_blank%27%20href%3D%27https%3A%5C%2F%5C%2Flinkinghub.elsevier.com%5C%2Fretrieve%5C%2Fpii%5C%2FS0034425716304370%27%3EDetection%20of%20rain-on-snow%20%28ROS%29%20events%20and%20ice%20layer%20formation%20using%20passive%20microwave%20radiometry%3A%20A%20context%20for%20Peary%20caribou%20habitat%20in%20the%20Canadian%20Arctic%3C%5C%2Fa%3E.%20Remote%20Sensing%20of%20Environment%2C%20vol.%20189%2C%20p.%2084%5Cu201195.%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Detection%20of%20rain-on-snow%20%28ROS%29%20events%20and%20ice%20layer%20formation%20using%20passive%20microwave%20radiometry%3A%20A%20context%20for%20Peary%20caribou%20habitat%20in%20the%20Canadian%20Arctic%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22A.%22%2C%22lastName%22%3A%22Langlois%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22C.-A.%22%2C%22lastName%22%3A%22Johnson%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22B.%22%2C%22lastName%22%3A%22Montpetit%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22A.%22%2C%22lastName%22%3A%22Royer%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22E.A.%22%2C%22lastName%22%3A%22Blukacz-Richards%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22E.%22%2C%22lastName%22%3A%22Neave%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22C.%22%2C%22lastName%22%3A%22Dolant%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22A.%22%2C%22lastName%22%3A%22Roy%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22G.%22%2C%22lastName%22%3A%22Arhonditsis%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22D.-K.%22%2C%22lastName%22%3A%22Kim%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22S.%22%2C%22lastName%22%3A%22Kaluskar%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22L.%22%2C%22lastName%22%3A%22Brucker%22%7D%5D%2C%22abstractNote%22%3A%22%22%2C%22date%22%3A%2202%5C%2F2017%22%2C%22language%22%3A%22en%22%2C%22DOI%22%3A%2210.1016%5C%2Fj.rse.2016.11.006%22%2C%22ISSN%22%3A%2200344257%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Flinkinghub.elsevier.com%5C%2Fretrieve%5C%2Fpii%5C%2FS0034425716304370%22%2C%22collections%22%3A%5B%22F6MU4YF5%22%5D%2C%22dateModified%22%3A%222022-10-18T18%3A14%3A30Z%22%7D%7D%2C%7B%22key%22%3A%22FUHIULJR%22%2C%22library%22%3A%7B%22id%22%3A2626991%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22C%5Cu00f4t%5Cu00e9%20et%20al.%22%2C%22parsedDate%22%3A%222017%22%2C%22numChildren%22%3A0%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%202%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%5C%22%3E%5Cn%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%3EC%5Cu00f4t%5Cu00e9%2C%20K.%2C%20Madore%2C%20J.-B.%20et%20Langlois%2C%20A.%20%282017%29%20%3Ca%20target%3D%27_blank%27%20href%3D%27https%3A%5C%2F%5C%2Fwww.tandfonline.com%5C%2Fdoi%5C%2Ffull%5C%2F10.1080%5C%2F02723646.2016.1277935%27%3EUncertainties%20in%20the%20SNOWPACK%20multilayer%20snow%20model%20for%20a%20Canadian%20avalanche%20context%3A%20sensitivity%20to%20climatic%20forcing%20data%3C%5C%2Fa%3E.%20Physical%20Geography%2C%20vol.%2038%2C%20n%5Cu00b02%2C%20p.%20124%5Cu2011142.%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Uncertainties%20in%20the%20SNOWPACK%20multilayer%20snow%20model%20for%20a%20Canadian%20avalanche%20context%3A%20sensitivity%20to%20climatic%20forcing%20data%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Kevin%22%2C%22lastName%22%3A%22C%5Cu00f4t%5Cu00e9%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Jean-Beno%5Cu00eet%22%2C%22lastName%22%3A%22Madore%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Alexandre%22%2C%22lastName%22%3A%22Langlois%22%7D%5D%2C%22abstractNote%22%3A%22%22%2C%22date%22%3A%222017%22%2C%22language%22%3A%22en%22%2C%22DOI%22%3A%2210.1080%5C%2F02723646.2016.1277935%22%2C%22ISSN%22%3A%220272-3646%2C%201930-0557%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Fwww.tandfonline.com%5C%2Fdoi%5C%2Ffull%5C%2F10.1080%5C%2F02723646.2016.1277935%22%2C%22collections%22%3A%5B%22F6MU4YF5%22%5D%2C%22dateModified%22%3A%222022-10-18T18%3A49%3A36Z%22%7D%7D%2C%7B%22key%22%3A%22PBZTD75N%22%2C%22library%22%3A%7B%22id%22%3A2626991%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Ouellet%20et%20al.%22%2C%22parsedDate%22%3A%222017%22%2C%22numChildren%22%3A0%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%202%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%5C%22%3E%5Cn%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%3EOuellet%2C%20F.%2C%20Langlois%2C%20A.%2C%20Blukacz-Richards%2C%20E.%20A.%2C%20Johnson%2C%20C.%20A.%2C%20Royer%2C%20A.%2C%20Neave%2C%20E.%20et%20Larter%2C%20N.%20C.%20%282017%29%20%3Ca%20target%3D%27_blank%27%20href%3D%27https%3A%5C%2F%5C%2Fwww.tandfonline.com%5C%2Fdoi%5C%2Ffull%5C%2F10.1080%5C%2F02723646.2016.1274200%27%3ESpatialization%20of%20the%20SNOWPACK%20snow%20model%20for%20the%20Canadian%20Arctic%20to%20assess%20Peary%20caribou%20winter%20grazing%20conditions%3C%5C%2Fa%3E.%20Physical%20Geography%2C%20vol.%2038%2C%20n%5Cu00b02%2C%20p.%20143%5Cu2011158.%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Spatialization%20of%20the%20SNOWPACK%20snow%20model%20for%20the%20Canadian%20Arctic%20to%20assess%20Peary%20caribou%20winter%20grazing%20conditions%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22F.%22%2C%22lastName%22%3A%22Ouellet%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22A.%22%2C%22lastName%22%3A%22Langlois%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22E.%20A.%22%2C%22lastName%22%3A%22Blukacz-Richards%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22C.%20A.%22%2C%22lastName%22%3A%22Johnson%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22A.%22%2C%22lastName%22%3A%22Royer%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22E.%22%2C%22lastName%22%3A%22Neave%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22N.%20C.%22%2C%22lastName%22%3A%22Larter%22%7D%5D%2C%22abstractNote%22%3A%22%22%2C%22date%22%3A%222017%22%2C%22language%22%3A%22en%22%2C%22DOI%22%3A%2210.1080%5C%2F02723646.2016.1274200%22%2C%22ISSN%22%3A%220272-3646%2C%201930-0557%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Fwww.tandfonline.com%5C%2Fdoi%5C%2Ffull%5C%2F10.1080%5C%2F02723646.2016.1274200%22%2C%22collections%22%3A%5B%22F6MU4YF5%22%5D%2C%22dateModified%22%3A%222022-10-18T18%3A49%3A31Z%22%7D%7D%2C%7B%22key%22%3A%22E9WR8852%22%2C%22library%22%3A%7B%22id%22%3A2626991%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Busseau%20et%20al.%22%2C%22parsedDate%22%3A%222017%22%2C%22numChildren%22%3A0%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%202%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%5C%22%3E%5Cn%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%3EBusseau%2C%20B.-C.%2C%20Royer%2C%20A.%2C%20Roy%2C%20A.%2C%20Langlois%2C%20A.%20et%20Domine%2C%20F.%20%282017%29%20%3Ca%20target%3D%27_blank%27%20href%3D%27https%3A%5C%2F%5C%2Fwww.tandfonline.com%5C%2Fdoi%5C%2Ffull%5C%2F10.1080%5C%2F02723646.2017.1283477%27%3EAnalysis%20of%20snow-vegetation%20interactions%20in%20the%20low%20Arctic-Subarctic%20transition%20zone%20%28northeastern%20Canada%29%3C%5C%2Fa%3E.%20Physical%20Geography%2C%20vol.%2038%2C%20n%5Cu00b02%2C%20p.%20159%5Cu2011175.%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Analysis%20of%20snow-vegetation%20interactions%20in%20the%20low%20Arctic-Subarctic%20transition%20zone%20%28northeastern%20Canada%29%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Bruno-Charles%22%2C%22lastName%22%3A%22Busseau%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Alain%22%2C%22lastName%22%3A%22Royer%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Alexandre%22%2C%22lastName%22%3A%22Roy%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Alexandre%22%2C%22lastName%22%3A%22Langlois%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Florent%22%2C%22lastName%22%3A%22Domine%22%7D%5D%2C%22abstractNote%22%3A%22%22%2C%22date%22%3A%222017%22%2C%22language%22%3A%22en%22%2C%22DOI%22%3A%2210.1080%5C%2F02723646.2017.1283477%22%2C%22ISSN%22%3A%220272-3646%2C%201930-0557%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Fwww.tandfonline.com%5C%2Fdoi%5C%2Ffull%5C%2F10.1080%5C%2F02723646.2017.1283477%22%2C%22collections%22%3A%5B%22F6MU4YF5%22%5D%2C%22dateModified%22%3A%222022-10-18T18%3A49%3A21Z%22%7D%7D%2C%7B%22key%22%3A%22TDPHXYNY%22%2C%22library%22%3A%7B%22id%22%3A2626991%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Papasodoro%20et%20al.%22%2C%22parsedDate%22%3A%222016%22%2C%22numChildren%22%3A0%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%202%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%5C%22%3E%5Cn%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%3EPapasodoro%2C%20C.%2C%20Royer%2C%20A.%2C%20Langlois%2C%20A.%20et%20Berthier%2C%20E.%20%282016%29%20%3Ca%20target%3D%27_blank%27%20href%3D%27https%3A%5C%2F%5C%2Fwww.cambridge.org%5C%2Fcore%5C%2Fproduct%5C%2Fidentifier%5C%2FS0022143016000447%5C%2Ftype%5C%2Fjournal_article%27%3EPotential%20of%20RADARSAT-2%20stereo%20radargrammetry%20for%20the%20generation%20of%20glacier%20DEMs%3C%5C%2Fa%3E.%20Journal%20of%20Glaciology%2C%20vol.%2062%2C%20n%5Cu00b0233%2C%20p.%20486%5Cu2011496.%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Potential%20of%20RADARSAT-2%20stereo%20radargrammetry%20for%20the%20generation%20of%20glacier%20DEMs%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22C.%22%2C%22lastName%22%3A%22Papasodoro%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22A.%22%2C%22lastName%22%3A%22Royer%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22A.%22%2C%22lastName%22%3A%22Langlois%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22E.%22%2C%22lastName%22%3A%22Berthier%22%7D%5D%2C%22abstractNote%22%3A%22ABSTRACT%20%5Cn%20%20%20%20%20%20%20%20%20%20%20%20%20%5Cn%20%20%20%20%20%20%20%20%20%20%20%20%20%20The%20study%20of%20glaciers%20and%20ice%20caps%20in%20remote%20and%20cloudy%20regions%20remains%20difficult%20using%20current%20remote%20sensing%20tools.%20Here%20the%20potential%20of%20stereo%20radargrammetry%20%28SRG%29%20with%20RADARSAT-2%20Wide%20Ultra-Fine%20images%20is%20explored%20for%20DEM%20extraction%2C%20elevation%20changes%20and%20mass-balance%20calculations%20on%20Barnes%20Ice%20Cap%20%28Nunavut%2C%20Canada%29.%20Over%20low-relief%20terrain%20surrounding%20Barnes%2C%20a%20vertical%20precision%20of%20~7%20m%20%281%5Cu03c3%20confidence%20level%29%20is%20measured%2C%20as%20well%20as%20an%20average%20vertical%20bias%20of%20~4%20m.%20Moreover%2C%20we%20show%20that%20the%20C-band%20penetration%20depth%20over%20the%20ice%20cap%20is%20insignificant%20at%20this%20time%20of%20the%20year%20%28i.e.%20late%20ablation%20season%29.%20This%20is%20likely%20due%20to%20a%20wet%20surface%20and%20the%20presence%20of%20superimposed%20ice%20that%20leads%20to%20a%20surface%20radar%20response.%20Comparing%20the%20SRG%20DEMs%20with%20other%20datasets%2C%20an%20historical%20glacier-wide%20mass%20balance%20of%20%5Cu22120.52%20%5Cu00b1%200.19%20m%20w.e.%20a%20%5Cn%20%20%20%20%20%20%20%20%20%20%20%20%20%20%5Cu22121%20%5Cn%20%20%20%20%20%20%20%20%20%20%20%20%20%20is%20estimated%20for%201960%5Cu20132013%2C%20whereas%20it%20decreases%20to%20%5Cu22121.06%20%5Cu00b1%200.84%20m%20w.e.%20a%20%5Cn%20%20%20%20%20%20%20%20%20%20%20%20%20%20%5Cu22121%20%5Cn%20%20%20%20%20%20%20%20%20%20%20%20%20%20between%202005%20and%202013.%20This%20clear%20acceleration%20of%20mass%20loss%20is%20in%20agreement%20with%20other%20recent%20studies.%20Given%20its%20all-weather%20functionality%20and%20its%20possible%20use%20without%20ground%20control%20points%2C%20the%20RADARSAT-2%20SRG%20technology%20represents%20an%20appropriate%20alternative%20for%20glacier%20monitoring%20in%20cloudy%20and%20remote%20regions.%22%2C%22date%22%3A%2206%5C%2F2016%22%2C%22language%22%3A%22en%22%2C%22DOI%22%3A%2210.1017%5C%2Fjog.2016.44%22%2C%22ISSN%22%3A%220022-1430%2C%201727-5652%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Fwww.cambridge.org%5C%2Fcore%5C%2Fproduct%5C%2Fidentifier%5C%2FS0022143016000447%5C%2Ftype%5C%2Fjournal_article%22%2C%22collections%22%3A%5B%22F6MU4YF5%22%5D%2C%22dateModified%22%3A%222022-10-18T18%3A17%3A28Z%22%7D%7D%2C%7B%22key%22%3A%22KUTTMSHG%22%2C%22library%22%3A%7B%22id%22%3A2626991%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Roy%20et%20al.%22%2C%22parsedDate%22%3A%222016%22%2C%22numChildren%22%3A0%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%202%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%5C%22%3E%5Cn%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%3ERoy%2C%20A.%2C%20Royer%2C%20A.%2C%20St-Jean-Rondeau%2C%20O.%2C%20Montpetit%2C%20B.%2C%20Picard%2C%20G.%2C%20Mavrovic%2C%20A.%2C%20Marchand%2C%20N.%20et%20Langlois%2C%20A.%20%282016%29%20%3Ca%20target%3D%27_blank%27%20href%3D%27https%3A%5C%2F%5C%2Ftc.copernicus.org%5C%2Farticles%5C%2F10%5C%2F623%5C%2F2016%5C%2F%27%3EMicrowave%20snow%20emission%20modeling%20uncertainties%20in%20boreal%20and%20subarctic%20environments%3C%5C%2Fa%3E.%20The%20Cryosphere%2C%20vol.%2010%2C%20n%5Cu00b02%2C%20p.%20623%5Cu2011638.%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Microwave%20snow%20emission%20modeling%20uncertainties%20in%20boreal%20and%20subarctic%20environments%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Alexandre%22%2C%22lastName%22%3A%22Roy%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Alain%22%2C%22lastName%22%3A%22Royer%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Olivier%22%2C%22lastName%22%3A%22St-Jean-Rondeau%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Benoit%22%2C%22lastName%22%3A%22Montpetit%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Ghislain%22%2C%22lastName%22%3A%22Picard%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Alex%22%2C%22lastName%22%3A%22Mavrovic%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Nicolas%22%2C%22lastName%22%3A%22Marchand%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Alexandre%22%2C%22lastName%22%3A%22Langlois%22%7D%5D%2C%22abstractNote%22%3A%22Abstract.%20This%20study%20aims%20to%20better%20understand%20and%20quantify%20the%20uncertainties%20in%20microwave%20snow%20emission%20models%20using%20the%20Dense%20Media%20Radiative%20Theory%20Multi-Layer%20model%20%28DMRT-ML%29%20with%20in%20situ%20measurements%20of%20snow%20properties.%20We%20use%20surface-based%20radiometric%20measurements%20at%2010.67%2C%2019%20and%2037%5Cu202fGHz%20in%20boreal%20forest%20and%20subarctic%20environments%20and%20a%20new%20in%20situ%20data%20set%20of%20measurements%20of%20snow%20properties%20%28profiles%20of%20density%2C%20snow%20grain%20size%20and%20temperature%2C%20soil%20characterization%20and%20ice%20lens%20detection%29%20acquired%20in%20the%20James%20Bay%20and%20Umiujaq%20regions%20of%20Northern%20Qu%5Cu00e9bec%2C%20Canada.%20A%20snow%20excavation%20experiment%20%5Cu2013%20where%20snow%20was%20removed%20from%20the%20ground%20to%20measure%20the%20microwave%20emission%20of%20bare%20frozen%20ground%20%5Cu2013%20shows%20that%20small-scale%20spatial%20variability%20%28less%20than%201%5Cu202fkm%29%20in%20the%20emission%20of%20frozen%20soil%20is%20small.%20Hence%2C%20in%20our%20case%20of%20boreal%20organic%20soil%2C%20variability%20in%20the%20emission%20of%20frozen%20soil%20has%20a%20small%20effect%20on%20snow-covered%20brightness%20temperature%20%28TB%29.%20Grain%20size%20and%20density%20measurement%20errors%20can%20explain%20the%20errors%20at%2037%5Cu202fGHz%2C%20while%20the%20sensitivity%20of%20TB%20at%2019%5Cu202fGHz%20to%20snow%20increases%20during%20the%20winter%20because%20of%20the%20snow%20grain%20growth%20that%20leads%20to%20scattering.%20Furthermore%2C%20the%20inclusion%20of%20observed%20ice%20lenses%20in%20DMRT-ML%20leads%20to%20significant%20improvements%20in%20the%20simulations%20at%20horizontal%20polarization%20%28H-pol%29%20for%20the%20three%20frequencies%20%28up%20to%2020%5Cu202fK%20of%20root%20mean%20square%20error%29.%20However%2C%20representation%20of%20the%20spatial%20variability%20of%20TB%20remains%20poor%20at%2010.67%20and%2019%5Cu202fGHz%20at%20H-pol%20given%20the%20spatial%20variability%20of%20ice%20lens%20characteristics%20and%20the%20difficulty%20in%20simulating%20snowpack%20stratigraphy%20related%20to%20the%20snow%20crust.%20The%20results%20also%20show%20that%2C%20in%20our%20study%20with%20the%20given%20forest%20characteristics%2C%20forest%20emission%20reflected%20by%20the%20snow-covered%20surface%20can%20increase%20the%20TB%20up%20to%2040%5Cu202fK.%20The%20forest%20contribution%20varies%20with%20vegetation%20characteristics%20and%20a%20relationship%20between%20the%20downwelling%20contribution%20of%20vegetation%20and%20the%20proportion%20of%20pixels%20occupied%20by%20vegetation%20%28trees%29%20in%20fisheye%20pictures%20was%20found.%20We%20perform%20a%20comprehensive%20analysis%20of%20the%20components%20that%20contribute%20to%20the%20snow-covered%20microwave%20signal%2C%20which%20will%20help%20to%20develop%20DMRT-ML%20and%20to%20improve%20the%20required%20field%20measurements.%20The%20analysis%20shows%20that%20a%20better%20consideration%20of%20ice%20lenses%20and%20snow%20crusts%20is%20essential%20to%20improve%20TB%20simulations%20in%20boreal%20forest%20and%20subarctic%20environments.%22%2C%22date%22%3A%222016%22%2C%22language%22%3A%22en%22%2C%22DOI%22%3A%2210.5194%5C%2Ftc-10-623-2016%22%2C%22ISSN%22%3A%221994-0424%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Ftc.copernicus.org%5C%2Farticles%5C%2F10%5C%2F623%5C%2F2016%5C%2F%22%2C%22collections%22%3A%5B%22F6MU4YF5%22%5D%2C%22dateModified%22%3A%222022-10-18T18%3A49%3A17Z%22%7D%7D%2C%7B%22key%22%3A%22QJDA49RX%22%2C%22library%22%3A%7B%22id%22%3A2626991%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Dolant%20et%20al.%22%2C%22parsedDate%22%3A%222016%22%2C%22numChildren%22%3A0%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%202%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%5C%22%3E%5Cn%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%3EDolant%2C%20C.%2C%20Langlois%2C%20A.%2C%20Montpetit%2C%20B.%2C%20Brucker%2C%20L.%2C%20Roy%2C%20A.%20et%20Royer%2C%20A.%20%282016%29%20%3Ca%20target%3D%27_blank%27%20href%3D%27https%3A%5C%2F%5C%2Fonlinelibrary.wiley.com%5C%2Fdoi%5C%2F10.1002%5C%2Fhyp.10828%27%3EDevelopment%20of%20a%20rain-on-snow%20detection%20algorithm%20using%20passive%20microwave%20radiometry%3A%20Snow%3B%20Passive%20Microwave%3B%20Rain-on-snow%3B%20Extreme%20Winter%20Events%3C%5C%2Fa%3E.%20Hydrological%20Processes%2C%20vol.%2030%2C%20n%5Cu00b018%2C%20p.%203184%5Cu20113196.%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Development%20of%20a%20rain-on-snow%20detection%20algorithm%20using%20passive%20microwave%20radiometry%3A%20Snow%3B%20Passive%20Microwave%3B%20Rain-on-snow%3B%20Extreme%20Winter%20Events%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Caroline%22%2C%22lastName%22%3A%22Dolant%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Alexandre%22%2C%22lastName%22%3A%22Langlois%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Benoit%22%2C%22lastName%22%3A%22Montpetit%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Ludovic%22%2C%22lastName%22%3A%22Brucker%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Alexandre%22%2C%22lastName%22%3A%22Roy%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Alain%22%2C%22lastName%22%3A%22Royer%22%7D%5D%2C%22abstractNote%22%3A%22%22%2C%22date%22%3A%222016%22%2C%22language%22%3A%22en%22%2C%22DOI%22%3A%2210.1002%5C%2Fhyp.10828%22%2C%22ISSN%22%3A%2208856087%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Fonlinelibrary.wiley.com%5C%2Fdoi%5C%2F10.1002%5C%2Fhyp.10828%22%2C%22collections%22%3A%5B%22F6MU4YF5%22%5D%2C%22dateModified%22%3A%222022-10-18T18%3A49%3A25Z%22%7D%7D%2C%7B%22key%22%3A%22PWB8JMIK%22%2C%22library%22%3A%7B%22id%22%3A2626991%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Roy%20et%20al.%22%2C%22parsedDate%22%3A%222015%22%2C%22numChildren%22%3A0%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%202%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%5C%22%3E%5Cn%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%3ERoy%2C%20A.%2C%20Royer%2C%20A.%2C%20Derksen%2C%20C.%2C%20Brucker%2C%20L.%2C%20Langlois%2C%20A.%2C%20Mialon%2C%20A.%20et%20Kerr%2C%20Y.%20H.%20%282015%29%20%3Ca%20target%3D%27_blank%27%20href%3D%27https%3A%5C%2F%5C%2Fieeexplore.ieee.org%5C%2Fdocument%5C%2F7274330%5C%2F%27%3EEvaluation%20of%20Spaceborne%20L-Band%20Radiometer%20Measurements%20for%20Terrestrial%20Freeze%5C%2FThaw%20Retrievals%20in%20Canada%3C%5C%2Fa%3E.%20IEEE%20Journal%20of%20Selected%20Topics%20in%20Applied%20Earth%20Observations%20and%20Remote%20Sensing%2C%20vol.%208%2C%20n%5Cu00b09%2C%20p.%204442%5Cu20114459.%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Evaluation%20of%20Spaceborne%20L-Band%20Radiometer%20Measurements%20for%20Terrestrial%20Freeze%5C%2FThaw%20Retrievals%20in%20Canada%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Alexandre%22%2C%22lastName%22%3A%22Roy%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Alain%22%2C%22lastName%22%3A%22Royer%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Chris%22%2C%22lastName%22%3A%22Derksen%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Ludovic%22%2C%22lastName%22%3A%22Brucker%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Alexandre%22%2C%22lastName%22%3A%22Langlois%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Arnaud%22%2C%22lastName%22%3A%22Mialon%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Yann%20H.%22%2C%22lastName%22%3A%22Kerr%22%7D%5D%2C%22abstractNote%22%3A%22%22%2C%22date%22%3A%229%5C%2F2015%22%2C%22language%22%3A%22%22%2C%22DOI%22%3A%2210.1109%5C%2FJSTARS.2015.2476358%22%2C%22ISSN%22%3A%221939-1404%2C%202151-1535%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Fieeexplore.ieee.org%5C%2Fdocument%5C%2F7274330%5C%2F%22%2C%22collections%22%3A%5B%22F6MU4YF5%22%5D%2C%22dateModified%22%3A%222022-10-18T18%3A19%3A19Z%22%7D%7D%2C%7B%22key%22%3A%22FSS34TP7%22%2C%22library%22%3A%7B%22id%22%3A2626991%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Papasodoro%20et%20al.%22%2C%22parsedDate%22%3A%222015%22%2C%22numChildren%22%3A0%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%202%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%5C%22%3E%5Cn%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%3EPapasodoro%2C%20C.%2C%20Berthier%2C%20E.%2C%20Royer%2C%20A.%2C%20Zdanowicz%2C%20C.%20et%20Langlois%2C%20A.%20%282015%29%20%3Ca%20target%3D%27_blank%27%20href%3D%27https%3A%5C%2F%5C%2Ftc.copernicus.org%5C%2Farticles%5C%2F9%5C%2F1535%5C%2F2015%5C%2F%27%3EArea%2C%20elevation%20and%20mass%20changes%20of%20the%20two%20southernmost%20ice%20caps%20of%20the%20Canadian%20Arctic%20Archipelago%20between%201952%20and%202014%3C%5C%2Fa%3E.%20The%20Cryosphere%2C%20vol.%209%2C%20n%5Cu00b04%2C%20p.%201535%5Cu20111550.%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Area%2C%20elevation%20and%20mass%20changes%20of%20the%20two%20southernmost%20ice%20caps%20of%20the%20Canadian%20Arctic%20Archipelago%20between%201952%20and%202014%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22C.%22%2C%22lastName%22%3A%22Papasodoro%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22E.%22%2C%22lastName%22%3A%22Berthier%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22A.%22%2C%22lastName%22%3A%22Royer%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22C.%22%2C%22lastName%22%3A%22Zdanowicz%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22A.%22%2C%22lastName%22%3A%22Langlois%22%7D%5D%2C%22abstractNote%22%3A%22Abstract.%20Grinnell%20and%20Terra%20Nivea%20Ice%20Caps%20are%20located%20on%20the%20southern%20Baffin%20Island%2C%20Nunavut%2C%20in%20the%20Canadian%20Arctic%20Archipelago.%20These%20relatively%20small%20ice%20caps%20have%20received%20little%20attention%20compared%20to%20the%20much%20larger%20ice%20masses%20further%20north.%20Their%20evolution%20can%2C%20however%2C%20give%20valuable%20information%20about%20the%20impact%20of%20the%20recent%20Arctic%20warming%20at%20lower%20latitudes%20%28i.e.%20~%2062.5%5Cu00b0%20N%29.%20In%20this%20paper%2C%20we%20measure%20or%20estimate%20historical%20and%20recent%20changes%20of%20area%2C%20elevation%20and%20mass%20of%20both%20ice%20caps%20using%20in%20situ%2C%20airborne%20and%20spaceborne%20data%20sets%2C%20including%20imagery%20from%20the%20Pl%5Cu00e9iades%20satellites.%20The%20area%20of%20Terra%20Nivea%20Ice%20Cap%20has%20decreased%20by%2034%20%25%20since%20the%20late%201950s%2C%20while%20that%20of%20Grinnell%20Ice%20Cap%20has%20decreased%20by%2020%20%25%20since%201952.%20For%20both%20ice%20caps%2C%20the%20areal%20reduction%20accelerated%20at%20the%20beginning%20of%20the%2021st%20century.%20The%20estimated%20glacier-wide%20mass%20balance%20was%20%5Cu22120.37%20%5Cu00b1%200.21%20m%20a%5Cu22121%20water%20equivalent%20%28w.e.%29%20over%20Grinnell%20Ice%20Cap%20for%20the%201952%5Cu20132014%20period%2C%20and%20%5Cu22120.47%20%5Cu00b1%200.16%20m%20a%5Cu22121%20w.e.%20over%20Terra%20Nivea%20Ice%20Cap%20for%20the%201958%5C%2F59%5Cu20132014%20period.%20Terra%20Nivea%20Ice%20Cap%20has%20experienced%20an%20accelerated%20rate%20of%20mass%20loss%20of%20%5Cu22121.77%20%5Cu00b1%200.36%20m%20a%5Cu22121%20w.e.%20between%202007%20and%202014.%20This%20rate%20is%205.9%20times%20as%20negative%20when%20compared%20to%20the%201958%5C%2F59%5Cu20132007%20period%20%28%5Cu22120.30%20%5Cu00b1%200.19%20m%20a%5Cu22121%20w.e.%29%20and%202%20times%20as%20negative%20when%20compared%20to%20the%20mass%20balance%20of%20other%20glaciers%20in%20the%20southern%20parts%20of%20Baffin%20Island%20over%20the%202003%5Cu20132009%20period.%20A%20similar%20acceleration%20in%20mass%20loss%20is%20suspected%20for%20the%20Grinnell%20Ice%20Cap%2C%20given%20the%20calculated%20elevation%20changes%20and%20the%20proximity%20to%20Terra%20Nivea%20Ice%20Cap.%20The%20recent%20increase%20in%20mass%20loss%20rates%20for%20these%20two%20ice%20caps%20is%20linked%20to%20a%20strong%20near-surface%20regional%20warming%20and%20a%20lengthening%20of%20the%20melt%20season%20into%20the%20autumn%20that%20may%20be%20indirectly%20strengthened%20by%20a%20later%20freezing%20of%20sea%20ice%20in%20the%20Hudson%20Strait%20sector.%20On%20a%20methodological%20level%2C%20our%20study%20illustrates%20the%20strong%20potential%20of%20Pl%5Cu00e9iades%20satellite%20data%20to%20unlock%20the%20under-exploited%20archive%20of%20old%20aerial%20photographs.%22%2C%22date%22%3A%222015%22%2C%22language%22%3A%22en%22%2C%22DOI%22%3A%2210.5194%5C%2Ftc-9-1535-2015%22%2C%22ISSN%22%3A%221994-0424%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Ftc.copernicus.org%5C%2Farticles%5C%2F9%5C%2F1535%5C%2F2015%5C%2F%22%2C%22collections%22%3A%5B%22F6MU4YF5%22%5D%2C%22dateModified%22%3A%222022-10-18T18%3A49%3A11Z%22%7D%7D%2C%7B%22key%22%3A%22WPWWFIM3%22%2C%22library%22%3A%7B%22id%22%3A2626991%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Dupont%20et%20al.%22%2C%22parsedDate%22%3A%222014%22%2C%22numChildren%22%3A0%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%202%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%5C%22%3E%5Cn%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%3EDupont%2C%20F.%2C%20Picard%2C%20G.%2C%20Royer%2C%20A.%2C%20Fily%2C%20M.%2C%20Roy%2C%20A.%2C%20Langlois%2C%20A.%20et%20Champollion%2C%20N.%20%282014%29%20%3Ca%20target%3D%27_blank%27%20href%3D%27http%3A%5C%2F%5C%2Fieeexplore.ieee.org%5C%2Fdocument%5C%2F6730669%5C%2F%27%3EModeling%20the%20Microwave%20Emission%20of%20Bubbly%20Ice%3A%20Applications%20to%20Blue%20Ice%20and%20Superimposed%20Ice%20in%20the%20Antarctic%20and%20Arctic%3C%5C%2Fa%3E.%20IEEE%20Transactions%20on%20Geoscience%20and%20Remote%20Sensing%2C%20vol.%2052%2C%20n%5Cu00b010%2C%20p.%206639%5Cu20116651.%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Modeling%20the%20Microwave%20Emission%20of%20Bubbly%20Ice%3A%20Applications%20to%20Blue%20Ice%20and%20Superimposed%20Ice%20in%20the%20Antarctic%20and%20Arctic%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Florent%22%2C%22lastName%22%3A%22Dupont%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Ghislain%22%2C%22lastName%22%3A%22Picard%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Alain%22%2C%22lastName%22%3A%22Royer%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Michel%22%2C%22lastName%22%3A%22Fily%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Alexandre%22%2C%22lastName%22%3A%22Roy%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Alexandre%22%2C%22lastName%22%3A%22Langlois%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Nicolas%22%2C%22lastName%22%3A%22Champollion%22%7D%5D%2C%22abstractNote%22%3A%22%22%2C%22date%22%3A%2210%5C%2F2014%22%2C%22language%22%3A%22%22%2C%22DOI%22%3A%2210.1109%5C%2FTGRS.2014.2299829%22%2C%22ISSN%22%3A%220196-2892%2C%201558-0644%22%2C%22url%22%3A%22http%3A%5C%2F%5C%2Fieeexplore.ieee.org%5C%2Fdocument%5C%2F6730669%5C%2F%22%2C%22collections%22%3A%5B%22F6MU4YF5%22%5D%2C%22dateModified%22%3A%222022-10-18T18%3A22%3A19Z%22%7D%7D%2C%7B%22key%22%3A%22RISQ37YT%22%2C%22library%22%3A%7B%22id%22%3A2626991%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Rutter%20et%20al.%22%2C%22parsedDate%22%3A%222014%22%2C%22numChildren%22%3A0%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%202%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%5C%22%3E%5Cn%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%3ERutter%2C%20N.%2C%20Sandells%2C%20M.%2C%20Derksen%2C%20C.%2C%20Toose%2C%20P.%2C%20Royer%2C%20A.%2C%20Montpetit%2C%20B.%2C%20Langlois%2C%20A.%2C%20Lemmetyinen%2C%20J.%20et%20Pulliainen%2C%20J.%20%282014%29%20%3Ca%20target%3D%27_blank%27%20href%3D%27https%3A%5C%2F%5C%2Fonlinelibrary.wiley.com%5C%2Fdoi%5C%2F10.1002%5C%2F2013JF003017%27%3ESnow%20stratigraphic%20heterogeneity%20within%20ground%5Cu2010based%20passive%20microwave%20radiometer%20footprints%3A%20Implications%20for%20emission%20modeling%3C%5C%2Fa%3E.%20Journal%20of%20Geophysical%20Research%3A%20Earth%20Surface%2C%20vol.%20119%2C%20n%5Cu00b03%2C%20p.%20550%5Cu2011565.%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Snow%20stratigraphic%20heterogeneity%20within%20ground%5Cu2010based%20passive%20microwave%20radiometer%20footprints%3A%20Implications%20for%20emission%20modeling%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Nick%22%2C%22lastName%22%3A%22Rutter%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Mel%22%2C%22lastName%22%3A%22Sandells%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Chris%22%2C%22lastName%22%3A%22Derksen%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Peter%22%2C%22lastName%22%3A%22Toose%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Alain%22%2C%22lastName%22%3A%22Royer%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Benoit%22%2C%22lastName%22%3A%22Montpetit%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Alex%22%2C%22lastName%22%3A%22Langlois%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Juha%22%2C%22lastName%22%3A%22Lemmetyinen%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Jouni%22%2C%22lastName%22%3A%22Pulliainen%22%7D%5D%2C%22abstractNote%22%3A%22%22%2C%22date%22%3A%2203%5C%2F2014%22%2C%22language%22%3A%22en%22%2C%22DOI%22%3A%2210.1002%5C%2F2013JF003017%22%2C%22ISSN%22%3A%222169-9003%2C%202169-9011%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Fonlinelibrary.wiley.com%5C%2Fdoi%5C%2F10.1002%5C%2F2013JF003017%22%2C%22collections%22%3A%5B%22F6MU4YF5%22%5D%2C%22dateModified%22%3A%222022-10-18T18%3A19%3A30Z%22%7D%7D%2C%7B%22key%22%3A%22CUINRA47%22%2C%22library%22%3A%7B%22id%22%3A2626991%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Langlois%20et%20al.%22%2C%22parsedDate%22%3A%222014%22%2C%22numChildren%22%3A0%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%202%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%5C%22%3E%5Cn%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%3ELanglois%2C%20A.%2C%20Bergeron%2C%20J.%2C%20Brown%2C%20R.%2C%20Royer%2C%20A.%2C%20Harvey%2C%20R.%2C%20Roy%2C%20A.%2C%20Wang%2C%20L.%20et%20Th%5Cu00e9riault%2C%20N.%20%282014%29%20%3Ca%20target%3D%27_blank%27%20href%3D%27http%3A%5C%2F%5C%2Fjournals.ametsoc.org%5C%2Fdoi%5C%2F10.1175%5C%2FJHM-D-13-055.1%27%3EEvaluation%20of%20CLASS%202.7%20and%203.5%20Simulations%20of%20Snow%20Properties%20from%20the%20Canadian%20Regional%20Climate%20Model%20%28CRCM4%29%20over%20Qu%5Cu00e9bec%2C%20Canada%2A%3C%5C%2Fa%3E.%20Journal%20of%20Hydrometeorology%2C%20vol.%2015%2C%20n%5Cu00b04%2C%20p.%201325%5Cu20111343.%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Evaluation%20of%20CLASS%202.7%20and%203.5%20Simulations%20of%20Snow%20Properties%20from%20the%20Canadian%20Regional%20Climate%20Model%20%28CRCM4%29%20over%20Qu%5Cu00e9bec%2C%20Canada%2A%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22A.%22%2C%22lastName%22%3A%22Langlois%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22J.%22%2C%22lastName%22%3A%22Bergeron%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22R.%22%2C%22lastName%22%3A%22Brown%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22A.%22%2C%22lastName%22%3A%22Royer%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22R.%22%2C%22lastName%22%3A%22Harvey%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22A.%22%2C%22lastName%22%3A%22Roy%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22L.%22%2C%22lastName%22%3A%22Wang%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22N.%22%2C%22lastName%22%3A%22Th%5Cu00e9riault%22%7D%5D%2C%22abstractNote%22%3A%22Abstract%20%5Cn%20%20%20%20%20%20%20%20%20%20%20%20Snow%20cover%20simulations%20from%20versions%202.7%20and%203.5%20of%20the%20Canadian%20Land%20Surface%20Scheme%20%28CLASS%29%20coupled%20to%20the%20Canadian%20Regional%20Climate%20Model%2C%20version%204%20%28CRCM4%29%2C%20are%20evaluated%20over%20northern%20Qu%5Cu00e9bec%20and%20the%20larger%20Qu%5Cu00e9bec%20domain%20using%20in%20situ%20and%20remotely%20sensed%20datasets.%20Version%202.7%20of%20CLASS%20has%20been%20used%20in%20the%20operational%20version%20of%20CRCM4%20at%20Ouranos%20since%202006.%20Version%203.5%20includes%20a%20number%20of%20improvements%20to%20the%20snow%20processes%20as%20well%20as%20a%20more%20realistic%20parameterization%20of%20snow%20thermal%20conductivity.%20The%20evaluation%20shows%20that%20version%203.5%20provides%20improved%20simulations%20of%20snow%20water%20equivalent%2C%20density%2C%20depth%2C%20and%20snowpack%20temperature%20values.%20However%2C%20snowpack%20density%20still%20contains%20systematic%20biases%20during%20the%20snow%20season%20that%20need%20to%20be%20addressed.%20The%20snow%20albedo%20parameterization%20in%20CLASS%20was%20found%20to%20be%20very%20sensitive%20to%20an%20empirical%20snowfall%20rate%20threshold%20for%20albedo%20refreshment%20and%20does%20not%20keep%20track%20of%20the%20snow%20accumulation%20history%20in%20estimating%20the%20snow%20surface%20albedo.%20A%20modified%20albedo%20scheme%20based%20on%20snow-specific%20surface%20areas%20is%20proposed%20to%20address%20this%20problem.%22%2C%22date%22%3A%222014%22%2C%22language%22%3A%22en%22%2C%22DOI%22%3A%2210.1175%5C%2FJHM-D-13-055.1%22%2C%22ISSN%22%3A%221525-755X%2C%201525-7541%22%2C%22url%22%3A%22http%3A%5C%2F%5C%2Fjournals.ametsoc.org%5C%2Fdoi%5C%2F10.1175%5C%2FJHM-D-13-055.1%22%2C%22collections%22%3A%5B%22F6MU4YF5%22%5D%2C%22dateModified%22%3A%222022-10-18T18%3A48%3A27Z%22%7D%7D%2C%7B%22key%22%3A%22FQSVNUSU%22%2C%22library%22%3A%7B%22id%22%3A2626991%7D%2C%22meta%22%3A%7B%22lastModifiedByUser%22%3A%7B%22id%22%3A9406387%2C%22username%22%3A%22caro_dlt%22%2C%22name%22%3A%22%22%2C%22links%22%3A%7B%22alternate%22%3A%7B%22href%22%3A%22https%3A%5C%2F%5C%2Fwww.zotero.org%5C%2Fcaro_dlt%22%2C%22type%22%3A%22text%5C%2Fhtml%22%7D%7D%7D%2C%22creatorSummary%22%3A%22Picard%20et%20al.%22%2C%22parsedDate%22%3A%222014%22%2C%22numChildren%22%3A0%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%202%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%5C%22%3E%5Cn%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%3EPicard%2C%20G.%2C%20Royer%2C%20A.%2C%20Arnaud%2C%20L.%20et%20Fily%2C%20M.%20%282014%29%20%3Ca%20target%3D%27_blank%27%20href%3D%27https%3A%5C%2F%5C%2Ftc.copernicus.org%5C%2Farticles%5C%2F8%5C%2F1105%5C%2F2014%5C%2F%27%3EInfluence%20of%20meter-scale%20wind-formed%20features%20on%20the%20variability%20of%20the%20microwave%20brightness%20temperature%20around%20Dome%20C%20in%20Antarctica%3C%5C%2Fa%3E.%20The%20Cryosphere%2C%20vol.%208%2C%20n%5Cu00b03%2C%20p.%201105%5Cu20111119.%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Influence%20of%20meter-scale%20wind-formed%20features%20on%20the%20variability%20of%20the%20microwave%20brightness%20temperature%20around%20Dome%20C%20in%20Antarctica%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22G.%22%2C%22lastName%22%3A%22Picard%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22A.%22%2C%22lastName%22%3A%22Royer%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22L.%22%2C%22lastName%22%3A%22Arnaud%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22M.%22%2C%22lastName%22%3A%22Fily%22%7D%5D%2C%22abstractNote%22%3A%22Abstract.%20Space-borne%20passive%20microwave%20radiometers%20are%20widely%20used%20to%20retrieve%20information%20in%20snowy%20regions%20by%20exploiting%20the%20high%20sensitivity%20of%20microwave%20emission%20to%20snow%20properties.%20For%20the%20Antarctic%20Plateau%2C%20many%20studies%20presenting%20retrieval%20algorithms%20or%20numerical%20simulations%20have%20assumed%2C%20explicitly%20or%20not%2C%20that%20the%20subpixel-scale%20heterogeneity%20is%20negligible%20and%20that%20the%20retrieved%20properties%20were%20representative%20of%20whole%20pixels.%20In%20this%20paper%2C%20we%20investigate%20the%20spatial%20variations%20of%20brightness%20temperature%20over%20a%20range%20of%20a%20few%20kilometers%20in%20the%20Dome%20C%20area.%20Using%20ground-based%20radiometers%20towed%20by%20a%20vehicle%2C%20we%20collected%20brightness%20temperature%20at%2011%2C%2019%20and%2037%20GHz%20at%20horizontal%20and%20vertical%20polarizations%20along%20transects%20with%20meter%20resolution.%20The%20most%20remarkable%20observation%20was%20a%20series%20of%20regular%20undulations%20of%20the%20signal%20with%20a%20significant%20amplitude%20reaching%2010%20K%20at%2037%20GHz%20and%20a%20quasi-period%20of%2030%5Cu201350%20m.%20In%20contrast%2C%20the%20variability%20at%20longer%20length%20scales%20seemed%20to%20be%20weak%20in%20the%20investigated%20area%2C%20and%20the%20mean%20brightness%20temperature%20was%20close%20to%20SSM%5C%2FI%20and%20WindSat%20satellite%20observations%20for%20all%20the%20frequencies%20and%20polarizations.%20To%20establish%20a%20link%20between%20the%20snow%20characteristics%20and%20the%20microwave%20emission%20undulations%2C%20we%20collected%20detailed%20snow%20grain%20size%20and%20density%20profiles%20at%20two%20points%20where%20opposite%20extrema%20of%20brightness%20temperature%20were%20observed.%20Numerical%20simulations%20with%20the%20DMRT-ML%20microwave%20emission%20model%20revealed%20that%20the%20difference%20in%20density%20in%20the%20upper%20first%20meter%20explained%20most%20of%20the%20brightness%20temperature%20variations.%20In%20addition%2C%20we%20found%20that%20these%20variations%20of%20density%20near%20the%20surface%20were%20linked%20to%20snow%20hardness.%20Patches%20of%20hard%20snow%20%5Cu2013%20probably%20formed%20by%20wind%20compaction%20%5Cu2013%20were%20clearly%20visible%20and%20covered%20as%20much%20as%2039%25%20of%20the%20investigated%20area.%20Their%20brightness%20temperature%20was%20higher%20than%20in%20normal%20areas.%20This%20result%20implies%20that%20the%20microwave%20emission%20measured%20by%20satellites%20over%20Dome%20C%20is%20more%20complex%20than%20expected%20and%20very%20likely%20depends%20on%20the%20year-to-year%20areal%20proportion%20of%20the%20two%20different%20types%20of%20snow.%22%2C%22date%22%3A%222014%22%2C%22language%22%3A%22en%22%2C%22DOI%22%3A%2210.5194%5C%2Ftc-8-1105-2014%22%2C%22ISSN%22%3A%221994-0424%22%2C%22url%22%3A%22https%3A%5C%2F%5C%2Ftc.copernicus.org%5C%2Farticles%5C%2F8%5C%2F1105%5C%2F2014%5C%2F%22%2C%22collections%22%3A%5B%22F6MU4YF5%22%5D%2C%22dateModified%22%3A%222022-10-18T18%3A51%3A01Z%22%7D%7D%2C%7B%22key%22%3A%22QM2ANXLH%22%2C%22library%22%3A%7B%22id%22%3A2626991%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Wang%20et%20al.%22%2C%22parsedDate%22%3A%222014%22%2C%22numChildren%22%3A0%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%202%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%5C%22%3E%5Cn%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%3EWang%2C%20L.%2C%20MacKay%2C%20M.%2C%20Brown%2C%20R.%2C%20Bartlett%2C%20P.%2C%20Harvey%2C%20R.%20et%20Langlois%2C%20A.%20%282014%29%20%3Ca%20target%3D%27_blank%27%20href%3D%27http%3A%5C%2F%5C%2Fjournals.ametsoc.org%5C%2Fdoi%5C%2F10.1175%5C%2FJHM-D-13-086.1%27%3EApplication%20of%20Satellite%20Data%20for%20Evaluating%20the%20Cold%20Climate%20Performance%20of%20the%20Canadian%20Regional%20Climate%20Model%20over%20Qu%5Cu00e9bec%2C%20Canada%3C%5C%2Fa%3E.%20Journal%20of%20Hydrometeorology%2C%20vol.%2015%2C%20n%5Cu00b02%2C%20p.%20614%5Cu2011630.%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Application%20of%20Satellite%20Data%20for%20Evaluating%20the%20Cold%20Climate%20Performance%20of%20the%20Canadian%20Regional%20Climate%20Model%20over%20Qu%5Cu00e9bec%2C%20Canada%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Libo%22%2C%22lastName%22%3A%22Wang%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Murray%22%2C%22lastName%22%3A%22MacKay%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Ross%22%2C%22lastName%22%3A%22Brown%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Paul%22%2C%22lastName%22%3A%22Bartlett%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Richard%22%2C%22lastName%22%3A%22Harvey%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Alexandre%22%2C%22lastName%22%3A%22Langlois%22%7D%5D%2C%22abstractNote%22%3A%22Abstract%20%5Cn%20%20%20%20%20%20%20%20%20%20%20%20This%20study%20evaluates%20key%20aspects%20of%20the%20snow%20cover%2C%20cloud%20cover%2C%20and%20radiation%20budget%20simulated%20by%20the%20Canadian%20Regional%20Climate%20Model%2C%20version%204%20%28CRCM4%29%2C%20coupled%20with%20two%20versions%20of%20the%20Canadian%20Land%20Surface%20Scheme%20%28CLASS%29.%20CRCM4%20coupled%20with%20CLASS%20version%202.7%20has%20been%20used%20operationally%20at%20Ouranos%20since%202006%2C%20while%2C%20more%20recently%2C%20CRCM4%20has%20been%20coupled%20experimentally%20with%20CLASS%203.5%2C%20which%20includes%20a%20number%20of%20improvements%20to%20the%20representation%20of%20snow%20cover%20processes.%20The%20simulations%20showed%20evidence%20of%20a%20systematic%20cold%20temperature%20bias.%20Evaluation%20of%20cloud%20cover%20and%20radiation%20fluxes%20with%20satellite%20data%20suggests%20this%20bias%20is%20related%20to%20insufficient%20cloud%20radiative%20forcing%20from%20a%20combination%20of%20underestimated%20cloud%20cover%2C%20excessive%20cloud%20albedo%2C%20and%20too%20low%20cloud%20emissivity%20in%20the%20model.%20This%20cold%20bias%20is%20reinforced%20by%20a%20positive%20snow%20albedo%20feedback%20manifest%20through%20earlier%20snow%20cover%20onset%20in%20the%20fall%20and%20early%20winter%20period.%20Snow%20albedo%20was%20found%20to%20be%20very%20sensitive%20to%20the%20treatment%20of%20albedo%20refresh%20but%20insignificantly%20influenced%20by%20the%20partitioning%20of%20solid%20precipitation%20in%20CLASS.%20This%20study%20demonstrates%20that%20atmospheric%20forcing%20can%20exert%20a%20significant%20impact%20on%20the%20simulation%20of%20snow%20cover%20and%20surface%20albedo.%20The%20results%20highlight%20the%20need%20to%20evaluate%20parameterizations%20in%20land%20surface%20models%20designed%20for%20climate%20models%20in%20fully%20coupled%20mode.%22%2C%22date%22%3A%222014%22%2C%22language%22%3A%22en%22%2C%22DOI%22%3A%2210.1175%5C%2FJHM-D-13-086.1%22%2C%22ISSN%22%3A%221525-755X%2C%201525-7541%22%2C%22url%22%3A%22http%3A%5C%2F%5C%2Fjournals.ametsoc.org%5C%2Fdoi%5C%2F10.1175%5C%2FJHM-D-13-086.1%22%2C%22collections%22%3A%5B%22F6MU4YF5%22%5D%2C%22dateModified%22%3A%222022-10-18T18%3A48%3A33Z%22%7D%7D%2C%7B%22key%22%3A%22W8FUG2PS%22%2C%22library%22%3A%7B%22id%22%3A2626991%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Montpetit%20et%20al.%22%2C%22parsedDate%22%3A%222013%22%2C%22numChildren%22%3A0%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%202%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%5C%22%3E%5Cn%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%3EMontpetit%2C%20B.%2C%20Royer%2C%20A.%2C%20Roy%2C%20A.%2C%20Langlois%2C%20A.%20et%20Derksen%2C%20C.%20%282013%29%20%3Ca%20target%3D%27_blank%27%20href%3D%27http%3A%5C%2F%5C%2Fieeexplore.ieee.org%5C%2Fdocument%5C%2F6507560%5C%2F%27%3ESnow%20Microwave%20Emission%20Modeling%20of%20Ice%20Lenses%20Within%20a%20Snowpack%20Using%20the%20Microwave%20Emission%20Model%20for%20Layered%20Snowpacks%3C%5C%2Fa%3E.%20IEEE%20Transactions%20on%20Geoscience%20and%20Remote%20Sensing%2C%20vol.%2051%2C%20n%5Cu00b09%2C%20p.%204705%5Cu20114717.%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Snow%20Microwave%20Emission%20Modeling%20of%20Ice%20Lenses%20Within%20a%20Snowpack%20Using%20the%20Microwave%20Emission%20Model%20for%20Layered%20Snowpacks%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Benoit%22%2C%22lastName%22%3A%22Montpetit%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Alain%22%2C%22lastName%22%3A%22Royer%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Alexandre%22%2C%22lastName%22%3A%22Roy%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Alexandre%22%2C%22lastName%22%3A%22Langlois%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Chris%22%2C%22lastName%22%3A%22Derksen%22%7D%5D%2C%22abstractNote%22%3A%22%22%2C%22date%22%3A%229%5C%2F2013%22%2C%22language%22%3A%22%22%2C%22DOI%22%3A%2210.1109%5C%2FTGRS.2013.2250509%22%2C%22ISSN%22%3A%220196-2892%2C%201558-0644%22%2C%22url%22%3A%22http%3A%5C%2F%5C%2Fieeexplore.ieee.org%5C%2Fdocument%5C%2F6507560%5C%2F%22%2C%22collections%22%3A%5B%22F6MU4YF5%22%5D%2C%22dateModified%22%3A%222022-10-18T18%3A23%3A46Z%22%7D%7D%2C%7B%22key%22%3A%22L22RNTQ3%22%2C%22library%22%3A%7B%22id%22%3A2626991%7D%2C%22meta%22%3A%7B%22creatorSummary%22%3A%22Roy%20et%20al.%22%2C%22parsedDate%22%3A%222013%22%2C%22numChildren%22%3A0%7D%2C%22bib%22%3A%22%3Cdiv%20class%3D%5C%22csl-bib-body%5C%22%20style%3D%5C%22line-height%3A%202%3B%20padding-left%3A%201em%3B%20text-indent%3A-1em%3B%5C%22%3E%5Cn%20%3Cdiv%20class%3D%5C%22csl-entry%5C%22%3ERoy%2C%20A.%2C%20Picard%2C%20G.%2C%20Royer%2C%20A.%2C%20Montpetit%2C%20B.%2C%20Dupont%2C%20F.%2C%20Langlois%2C%20A.%2C%20Derksen%2C%20C.%20et%20Champollion%2C%20N.%20%282013%29%20%3Ca%20target%3D%27_blank%27%20href%3D%27http%3A%5C%2F%5C%2Fieeexplore.ieee.org%5C%2Fdocument%5C%2F6476000%5C%2F%27%3EBrightness%20Temperature%20Simulations%20of%20the%20Canadian%20Seasonal%20Snowpack%20Driven%20by%20Measurements%20of%20the%20Snow%20Specific%20Surface%20Area%3C%5C%2Fa%3E.%20IEEE%20Transactions%20on%20Geoscience%20and%20Remote%20Sensing%2C%20vol.%2051%2C%20n%5Cu00b09%2C%20p.%204692%5Cu20114704.%3C%5C%2Fdiv%3E%5Cn%3C%5C%2Fdiv%3E%22%2C%22data%22%3A%7B%22itemType%22%3A%22journalArticle%22%2C%22title%22%3A%22Brightness%20Temperature%20Simulations%20of%20the%20Canadian%20Seasonal%20Snowpack%20Driven%20by%20Measurements%20of%20the%20Snow%20Specific%20Surface%20Area%22%2C%22creators%22%3A%5B%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Alexandre%22%2C%22lastName%22%3A%22Roy%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Ghislain%22%2C%22lastName%22%3A%22Picard%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Alain%22%2C%22lastName%22%3A%22Royer%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Benoit%22%2C%22lastName%22%3A%22Montpetit%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Florent%22%2C%22lastName%22%3A%22Dupont%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Alexandre%22%2C%22lastName%22%3A%22Langlois%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Chris%22%2C%22lastName%22%3A%22Derksen%22%7D%2C%7B%22creatorType%22%3A%22author%22%2C%22firstName%22%3A%22Nicolas%22%2C%22lastName%22%3A%22Champollion%22%7D%5D%2C%22abstractNote%22%3A%22%22%2C%22date%22%3A%2209%5C%2F2013%22%2C%22language%22%3A%22%22%2C%22DOI%22%3A%2210.1109%5C%2FTGRS.2012.2235842%22%2C%22ISSN%22%3A%220196-2892%2C%201558-0644%22%2C%22url%22%3A%22http%3A%5C%2F%5C%2Fieeexplore.ieee.org%5C%2Fdocument%5C%2F6476000%5C%2F%22%2C%22collections%22%3A%5B%22F6MU4YF5%22%5D%2C%22dateModified%22%3A%222022-10-18T18%3A27%3A32Z%22%7D%7D%5D%7D
Kramer, D., Langlois, A., Royer, A., Madore, J.-B., King, J., McLennan, D. et Boisvert-Vigneault, É. (2023) Assessment of Arctic snow stratigraphy and water equivalent using a portable Frequency Modulated Continuous Wave RADAR. Cold Regions Science and Technology, vol. 205, p. 103683.
Meloche, J., Langlois, A., Rutter, N., McLennan, D., Royer, A., Billecocq, P. et Ponomarenko, S. (2022) High‐resolution snow depth prediction using Random Forest algorithm with topographic parameters: A case study in the Greiner watershed, Nunavut. Hydrological Processes, vol. 36, n°3.
Madore, J.-B., Fierz, C. et Langlois, A. (2022) Investigation into percolation and liquid water content in a multi-layered snow model for wet snow instabilities in Glacier National Park, Canada. Frontiers in Earth Science, vol. 10, p. 898980.
Laliberté, J., Langlois, A., Royer, a, Madore, J.-B. et Gauthier, F. (2022) Retrieving dry snow stratigraphy using a versatile low-cost frequency modulated continuous wave (FMCW) K-band radar. Physical Geography, vol. 43, n°3, p. 308‑332.
Gautier, C., Langlois, A., Sasseville, V., Neave, E. et Johnson, C. A. (2022) Remote sensing, snow modelling, survey data and Indigenous Knowledge show how snow and sea-ice conditions affect Peary caribou (Rangifer tarandus pearyi) distribution and inter-island and island–mainland movements. Polar Research, vol. 41.
Voglimacci-Stephanopoli, J., Wendleder, A., Lantuit, H., Langlois, A., Stettner, S., Schmitt, A., Dedieu, J.-P., Roth, A. et Royer, A. (2022) Potential of X-band polarimetric synthetic aperture radar co-polar phase difference for arctic snow depth estimation. The Cryosphere, vol. 16, n°6, p. 2163‑2181.
Martineau, C., Langlois, A., Gouttevin, I., Neave, E. et Johnson, C. A. (2022) Improving Peary Caribou Presence Predictions in MaxEnt Using Spatialized Snow Simulations. ARCTIC, vol. 75, n°1, p. 55‑71.
Meloche, J., Langlois, A., Rutter, N., Royer, A., King, J., Walker, B., Marsh, P. et Wilcox, E. J. (2022) Characterizing tundra snow sub-pixel variability to improve brightness temperature estimation in satellite SWE retrievals. The Cryosphere, vol. 16, n°1, p. 87‑101.
Royer, A., Roy, A., Jutras, S. et Langlois, A. (2021) Review article: Performance assessment of radiation-based field sensors for monitoring the water equivalent of snow cover (SWE). The Cryosphere, vol. 15, n°11, p. 5079‑5098.
Royer, A., Domine, F., Roy, A., Langlois, A., Marchand, N. et Davesne, G. (2021) New northern snowpack classification linked to vegetation cover on a latitudinal mega-transect across northeastern Canada. Écoscience, vol. 28, n°3‑4, p. 225‑242.
Levasseur, S., Brown, K., Langlois, A. et McLennan, D. (2021) Measurement of Snow Physical Properties and Stable Isotope Variations in the Canadian Sub-Arctic and Arctic Snowpack. Atmosphere-Ocean, vol. 59, n°3, p. 137‑151.
Meloche, J., Royer, A., Langlois, A., Rutter, N. et Sasseville, V. (2021) Improvement of microwave emissivity parameterization of frozen Arctic soils using roughness measurements derived from photogrammetry. International Journal of Digital Earth, vol. 14, n°10, p. 1380‑1396.
Royer, A., Picard, G., Vargel, C., Langlois, A., Gouttevin, I. et Dumont, M. (2021) Improved Simulation of Arctic Circumpolar Land Area Snow Properties and Soil Temperatures. Frontiers in Earth Science, vol. 9, p. 685140.
Letcher, T., Vuyovich, C., Langlois, A. et Roy, A. (2021) Understanding Uncertainty of Snow Radiative Transfer Modeling Within a Mixed Deciduous and Evergreen Forest. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 14, p. 8225‑8235.
Holtzman, N. M., Anderegg, L. D. L., Kraatz, S., Mavrovic, A., Sonnentag, O., Pappas, C., Cosh, M. H., Langlois, A., Lakhankar, T., Tesser, D., Steiner, N., Colliander, A., Roy, A. et Konings, A. G. (2021) L-band vegetation optical depth as an indicator of plant water potential in a temperate deciduous forest stand. Biogeosciences, vol. 18, n°2, p. 739‑753.
Vargel, C., Royer, A., St-Jean-Rondeau, O., Picard, G., Roy, A., Sasseville, V. et Langlois, A. (2020) Arctic and subarctic snow microstructure analysis for microwave brightness temperature simulations. Remote Sensing of Environment, vol. 242, p. 111754.
Roy, A., Toose, P., Mavrovic, A., Pappas, C., Royer, A., Derksen, C., Berg, A., Rowlandson, T., El-Amine, M., Barr, A., Black, A., Langlois, A. et Sonnentag, O. (2020) L-Band response to freeze/thaw in a boreal forest stand from ground- and tower-based radiometer observations. Remote Sensing of Environment, vol. 237, p. 111542.
Mavrovic, A., Madore, J.-B., Langlois, A., Royer, A. et Roy, A. (2020) Snow liquid water content measurement using an open-ended coaxial probe (OECP). Cold Regions Science and Technology, vol. 171, p. 102958.
Langlois, A., Royer, A., Montpetit, B., Roy, A. et Durocher, M. (2020) Presenting Snow Grain Size and Shape Distributions in Northern Canada Using a New Photographic Device Allowing 2D and 3D Representation of Snow Grains. Frontiers in Earth Science, vol. 7, p. 347.
Pomerleau, P., Royer, A., Langlois, A., Cliche, P., Courtemanche, B., Madore, J.-B., Picard, G. et Lefebvre, É. (2020) Low Cost and Compact FMCW 24 GHz Radar Applications for Snowpack and Ice Thickness Measurements. Sensors, vol. 20, n°14, p. 3909.
Kaluskar, S., Blukacz‐Richards, E. A., Johnson, C. A., He, Y., Langlois, A., Kim, D. et Arhonditsis, G. (2019) Development of a model ensemble to predict Peary caribou populations in the Canadian Arctic Archipelago. Ecosphere, vol. 10, n°12.
Prince, M., Roy, A., Royer, A. et Langlois, A. (2019) Timing and spatial variability of fall soil freezing in boreal forest and its effect on SMAP L-band radiometer measurements. Remote Sensing of Environment, vol. 231, p. 111230.
Domine, F., Picard, G., Morin, S., Barrere, M., Madore, J.-B. et Langlois, A. (2019) Major Issues in Simulating Some Arctic Snowpack Properties Using Current Detailed Snow Physics Models: Consequences for the Thermal Regime and Water Budget of Permafrost. Journal of Advances in Modeling Earth Systems, vol. 11, n°1, p. 34‑44.
Kramer, D., Meloche, J., Langlois, A., McLennan, D., Chapdelaine, B., Gauthier Barrette, C., Royer, A. et Cliche, P. (2019) Designing a Do-It-Yourself Unmanned aerial Vehicle for Arctic research purposes and proving its capabilities by retrieving snow depth via structure-from-motion. Aqhaliat 2019, Polar
Knowledge Canada, p. 43‑62.
King, J., Derksen, C., Toose, P., Langlois, A., Larsen, C., Lemmetyinen, J., Marsh, P., Montpetit, B., Roy, A., Rutter, N. et Sturm, M. (2018) The influence of snow microstructure on dual-frequency radar measurements in a tundra environment. Remote Sensing of Environment, vol. 215, p. 242‑254.
Montpetit, B., Royer, A., Roy, A. et Langlois, A. (2018) In-situ passive microwave emission model parameterization of sub-arctic frozen organic soils. Remote Sensing of Environment, vol. 205, p. 112‑118.
Lyu, H., McColl, K. A., Li, X., Derksen, C., Berg, A., Black, T. A., Euskirchen, E., Loranty, M., Pulliainen, J., Rautiainen, K., Rowlandson, T., Roy, A., Royer, A., Langlois, A., Stephens, J., Lu, H. et Entekhabi, D. (2018) Validation of the SMAP freeze/thaw product using categorical triple collocation. Remote Sensing of Environment, vol. 205, p. 329‑337.
Marchand, N., Royer, A., Krinner, G., Roy, A., Langlois, A. et Vargel, C. (2018) Snow-Covered Soil Temperature Retrieval in Canadian Arctic Permafrost Areas, Using a Land Surface Scheme Informed with Satellite Remote Sensing Data. Remote Sensing, vol. 10, n°11, p. 1703.
Dolant, C., Langlois, A., Brucker, L., Royer, A., Roy, A. et Montpetit, B. (2018) Meteorological inventory of rain-on-snow events in the Canadian Arctic Archipelago and satellite detection assessment using passive microwave data. Physical Geography, vol. 39, n°5, p. 428‑444.
Madore, J.-B., Langlois, A. et Côté, K. (2018) Evaluation of the SNOWPACK model's metamorphism and microstructure in Canada: a case study. Physical Geography, vol. 39, n°5, p. 406‑427.
Dolant, C., Montpetit, B., Langlois, A., Brucker, L., Zolina, O., Johnson, C. A., Royer, A. et Smith, P. (2018) Assessment of the Barren Ground Caribou Die‐off During Winter 2015–2016 Using Passive Microwave Observations. Geophysical Research Letters, vol. 45, n°10, p. 4908‑4916.
Larue, F., Royer, A., De Sève, D., Langlois, A., Roy, A. et Brucker, L. (2017) Validation of GlobSnow-2 snow water equivalent over Eastern Canada. Remote Sensing of Environment, vol. 194, p. 264‑277.
Derksen, C., Xu, X., Scott Dunbar, R., Colliander, A., Kim, Y., Kimball, J. S., Black, T. A., Euskirchen, E., Langlois, A., Loranty, M. M., Marsh, P., Rautiainen, K., Roy, A., Royer, A. et Stephens, J. (2017) Retrieving landscape freeze/thaw state from Soil Moisture Active Passive (SMAP) radar and radiometer measurements. Remote Sensing of Environment, vol. 194, p. 48‑62.
Royer, A., Roy, A., Montpetit, B., Saint-Jean-Rondeau, O., Picard, G., Brucker, L. et Langlois, A. (2017) Comparison of commonly-used microwave radiative transfer models for snow remote sensing. Remote Sensing of Environment, vol. 190, p. 247‑259.
Langlois, A., Johnson, C.-A., Montpetit, B., Royer, A., Blukacz-Richards, E. A., Neave, E., Dolant, C., Roy, A., Arhonditsis, G., Kim, D.-K., Kaluskar, S. et Brucker, L. (2017) Detection of rain-on-snow (ROS) events and ice layer formation using passive microwave radiometry: A context for Peary caribou habitat in the Canadian Arctic. Remote Sensing of Environment, vol. 189, p. 84‑95.
Côté, K., Madore, J.-B. et Langlois, A. (2017) Uncertainties in the SNOWPACK multilayer snow model for a Canadian avalanche context: sensitivity to climatic forcing data. Physical Geography, vol. 38, n°2, p. 124‑142.
Ouellet, F., Langlois, A., Blukacz-Richards, E. A., Johnson, C. A., Royer, A., Neave, E. et Larter, N. C. (2017) Spatialization of the SNOWPACK snow model for the Canadian Arctic to assess Peary caribou winter grazing conditions. Physical Geography, vol. 38, n°2, p. 143‑158.
Busseau, B.-C., Royer, A., Roy, A., Langlois, A. et Domine, F. (2017) Analysis of snow-vegetation interactions in the low Arctic-Subarctic transition zone (northeastern Canada). Physical Geography, vol. 38, n°2, p. 159‑175.
Papasodoro, C., Royer, A., Langlois, A. et Berthier, E. (2016) Potential of RADARSAT-2 stereo radargrammetry for the generation of glacier DEMs. Journal of Glaciology, vol. 62, n°233, p. 486‑496.
Roy, A., Royer, A., St-Jean-Rondeau, O., Montpetit, B., Picard, G., Mavrovic, A., Marchand, N. et Langlois, A. (2016) Microwave snow emission modeling uncertainties in boreal and subarctic environments. The Cryosphere, vol. 10, n°2, p. 623‑638.
Dolant, C., Langlois, A., Montpetit, B., Brucker, L., Roy, A. et Royer, A. (2016) Development of a rain-on-snow detection algorithm using passive microwave radiometry: Snow; Passive Microwave; Rain-on-snow; Extreme Winter Events. Hydrological Processes, vol. 30, n°18, p. 3184‑3196.
Roy, A., Royer, A., Derksen, C., Brucker, L., Langlois, A., Mialon, A. et Kerr, Y. H. (2015) Evaluation of Spaceborne L-Band Radiometer Measurements for Terrestrial Freeze/Thaw Retrievals in Canada. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 8, n°9, p. 4442‑4459.
Papasodoro, C., Berthier, E., Royer, A., Zdanowicz, C. et Langlois, A. (2015) Area, elevation and mass changes of the two southernmost ice caps of the Canadian Arctic Archipelago between 1952 and 2014. The Cryosphere, vol. 9, n°4, p. 1535‑1550.
Dupont, F., Picard, G., Royer, A., Fily, M., Roy, A., Langlois, A. et Champollion, N. (2014) Modeling the Microwave Emission of Bubbly Ice: Applications to Blue Ice and Superimposed Ice in the Antarctic and Arctic. IEEE Transactions on Geoscience and Remote Sensing, vol. 52, n°10, p. 6639‑6651.
Rutter, N., Sandells, M., Derksen, C., Toose, P., Royer, A., Montpetit, B., Langlois, A., Lemmetyinen, J. et Pulliainen, J. (2014) Snow stratigraphic heterogeneity within ground‐based passive microwave radiometer footprints: Implications for emission modeling. Journal of Geophysical Research: Earth Surface, vol. 119, n°3, p. 550‑565.
Langlois, A., Bergeron, J., Brown, R., Royer, A., Harvey, R., Roy, A., Wang, L. et Thériault, N. (2014) Evaluation of CLASS 2.7 and 3.5 Simulations of Snow Properties from the Canadian Regional Climate Model (CRCM4) over Québec, Canada*. Journal of Hydrometeorology, vol. 15, n°4, p. 1325‑1343.
Picard, G., Royer, A., Arnaud, L. et Fily, M. (2014) Influence of meter-scale wind-formed features on the variability of the microwave brightness temperature around Dome C in Antarctica. The Cryosphere, vol. 8, n°3, p. 1105‑1119.
Wang, L., MacKay, M., Brown, R., Bartlett, P., Harvey, R. et Langlois, A. (2014) Application of Satellite Data for Evaluating the Cold Climate Performance of the Canadian Regional Climate Model over Québec, Canada. Journal of Hydrometeorology, vol. 15, n°2, p. 614‑630.
Montpetit, B., Royer, A., Roy, A., Langlois, A. et Derksen, C. (2013) Snow Microwave Emission Modeling of Ice Lenses Within a Snowpack Using the Microwave Emission Model for Layered Snowpacks. IEEE Transactions on Geoscience and Remote Sensing, vol. 51, n°9, p. 4705‑4717.
Roy, A., Picard, G., Royer, A., Montpetit, B., Dupont, F., Langlois, A., Derksen, C. et Champollion, N. (2013) Brightness Temperature Simulations of the Canadian Seasonal Snowpack Driven by Measurements of the Snow Specific Surface Area. IEEE Transactions on Geoscience and Remote Sensing, vol. 51, n°9, p. 4692‑4704.