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Evidence of Strong Flux Underestimation by Bulk Parametrizations During Drifting and Blowing Snow

The influence of drifting and blowing snow on surface mass and energy exchange is difficult to quantify due to limitations in both measurements and models, but is still potentially very important over large areas with seasonal or perennial snow cover. We present a unique set of measurements that mak...

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Autores principales: Sigmund, Armin, Dujardin, Jérôme, Comola, Francesco, Sharma, Varun, Huwald, Hendrik, Melo, Daniela Brito, Hirasawa, Naohiko, Nishimura, Kouichi, Lehning, Michael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Netherlands 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8741712/
https://www.ncbi.nlm.nih.gov/pubmed/35068494
http://dx.doi.org/10.1007/s10546-021-00653-x
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author Sigmund, Armin
Dujardin, Jérôme
Comola, Francesco
Sharma, Varun
Huwald, Hendrik
Melo, Daniela Brito
Hirasawa, Naohiko
Nishimura, Kouichi
Lehning, Michael
author_facet Sigmund, Armin
Dujardin, Jérôme
Comola, Francesco
Sharma, Varun
Huwald, Hendrik
Melo, Daniela Brito
Hirasawa, Naohiko
Nishimura, Kouichi
Lehning, Michael
author_sort Sigmund, Armin
collection PubMed
description The influence of drifting and blowing snow on surface mass and energy exchange is difficult to quantify due to limitations in both measurements and models, but is still potentially very important over large areas with seasonal or perennial snow cover. We present a unique set of measurements that make possible the calculation of turbulent moisture, heat, and momentum fluxes during conditions of drifting and blowing snow. From the data, Monin–Obukhov estimation of bulk fluxes is compared to eddy-covariance-derived fluxes. In addition, large-eddy simulations with sublimating particles are used to more completely understand the vertical profiles of the fluxes. For a storm period at the Syowa S17 station in East Antarctica, the bulk parametrization severely underestimates near-surface heat and moisture fluxes. The large-eddy simulations agree with the eddy-covariance fluxes when the measurements are minimally disturbed by the snow particles. We conclude that overall exchange over snow surfaces is much more intense than current models suggest, which has implications for the total mass balance of the Antarctic ice sheet and the cryosphere.
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spelling pubmed-87417122022-01-20 Evidence of Strong Flux Underestimation by Bulk Parametrizations During Drifting and Blowing Snow Sigmund, Armin Dujardin, Jérôme Comola, Francesco Sharma, Varun Huwald, Hendrik Melo, Daniela Brito Hirasawa, Naohiko Nishimura, Kouichi Lehning, Michael Boundary Layer Meteorol Research Article The influence of drifting and blowing snow on surface mass and energy exchange is difficult to quantify due to limitations in both measurements and models, but is still potentially very important over large areas with seasonal or perennial snow cover. We present a unique set of measurements that make possible the calculation of turbulent moisture, heat, and momentum fluxes during conditions of drifting and blowing snow. From the data, Monin–Obukhov estimation of bulk fluxes is compared to eddy-covariance-derived fluxes. In addition, large-eddy simulations with sublimating particles are used to more completely understand the vertical profiles of the fluxes. For a storm period at the Syowa S17 station in East Antarctica, the bulk parametrization severely underestimates near-surface heat and moisture fluxes. The large-eddy simulations agree with the eddy-covariance fluxes when the measurements are minimally disturbed by the snow particles. We conclude that overall exchange over snow surfaces is much more intense than current models suggest, which has implications for the total mass balance of the Antarctic ice sheet and the cryosphere. Springer Netherlands 2021-08-11 2022 /pmc/articles/PMC8741712/ /pubmed/35068494 http://dx.doi.org/10.1007/s10546-021-00653-x Text en © The Author(s) 2021, corrected publication 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Research Article
Sigmund, Armin
Dujardin, Jérôme
Comola, Francesco
Sharma, Varun
Huwald, Hendrik
Melo, Daniela Brito
Hirasawa, Naohiko
Nishimura, Kouichi
Lehning, Michael
Evidence of Strong Flux Underestimation by Bulk Parametrizations During Drifting and Blowing Snow
title Evidence of Strong Flux Underestimation by Bulk Parametrizations During Drifting and Blowing Snow
title_full Evidence of Strong Flux Underestimation by Bulk Parametrizations During Drifting and Blowing Snow
title_fullStr Evidence of Strong Flux Underestimation by Bulk Parametrizations During Drifting and Blowing Snow
title_full_unstemmed Evidence of Strong Flux Underestimation by Bulk Parametrizations During Drifting and Blowing Snow
title_short Evidence of Strong Flux Underestimation by Bulk Parametrizations During Drifting and Blowing Snow
title_sort evidence of strong flux underestimation by bulk parametrizations during drifting and blowing snow
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8741712/
https://www.ncbi.nlm.nih.gov/pubmed/35068494
http://dx.doi.org/10.1007/s10546-021-00653-x
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