Improving model-satellite comparisons of sea ice melt onset with a satellite simulator
International audience Seasonal transitions in Arctic sea ice, such as the melt onset, have been found to be useful metrics for evaluating sea ice in climate models against observations. However, comparisons of melt onset dates between climate models and satellite observations are indirect. Satellit...
Published in: | The Cryosphere |
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Main Authors: | , , , |
Other Authors: | , , , , , , , , , , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
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HAL CCSD
2022
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Online Access: | https://hal.science/hal-04671839 https://hal.science/hal-04671839/document https://hal.science/hal-04671839/file/tc-16-3235-2022.pdf https://doi.org/10.5194/tc-16-3235-2022 |
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Université de Paris: Portail HAL |
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English |
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[SDU.STU.GL]Sciences of the Universe [physics]/Earth Sciences/Glaciology [SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/Climatology |
spellingShingle |
[SDU.STU.GL]Sciences of the Universe [physics]/Earth Sciences/Glaciology [SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/Climatology Smith, Abigail Jahn, Alexandra Burgard, Clara Notz, Dirk Improving model-satellite comparisons of sea ice melt onset with a satellite simulator |
topic_facet |
[SDU.STU.GL]Sciences of the Universe [physics]/Earth Sciences/Glaciology [SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/Climatology |
description |
International audience Seasonal transitions in Arctic sea ice, such as the melt onset, have been found to be useful metrics for evaluating sea ice in climate models against observations. However, comparisons of melt onset dates between climate models and satellite observations are indirect. Satellite data products of melt onset rely on observed brightness temperatures, while climate models do not currently simulate brightness temperatures, and must therefore define melt onset with other modeled variables. Here we adapt a passive microwave sea ice satellite simulator, the Arctic Ocean Observation Operator (ARC3O), to produce simulated brightness temperatures that can be used to diagnose the timing of the earliest snowmelt in climate models, as we show here using Community Earth System Model version 2 (CESM2) ocean-ice hindcasts. By producing simulated brightness temperatures and earliest snowmelt estimation dates using CESM2 and ARC3O, we facilitate new and previously impossible comparisons between the model and satellite observations by removing the uncertainty that arises due to definition differences. Direct comparisons between the model and satellite data allow us to identify an early bias across large areas of the Arctic at the beginning of the CESM2 ocean-ice hindcast melt season, as well as improve our understanding of the physical processes underlying seasonal changes in brightness temperatures. In particular, the ARC3O allows us to show that satellite algorithm-based melt onset dates likely occur after significant snowmelt has already taken place. |
author2 |
University of Colorado Boulder Processus et interactions de fine échelle océanique (PROTEO) Laboratoire d'Océanographie et du Climat : Expérimentations et Approches Numériques (LOCEAN) Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut Pierre-Simon-Laplace (IPSL (FR_636)) École normale supérieure - Paris (ENS-PSL) Université Paris Sciences et Lettres (PSL)-Université Paris Sciences et Lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-École polytechnique (X) Institut Polytechnique de Paris (IP Paris)-Institut Polytechnique de Paris (IP Paris)-Centre National d'Études Spatiales Toulouse (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité)-École normale supérieure - Paris (ENS-PSL) Université Paris Sciences et Lettres (PSL)-Université Paris Sciences et Lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-École polytechnique (X) Institut Polytechnique de Paris (IP Paris)-Institut Polytechnique de Paris (IP Paris)-Centre National d'Études Spatiales Toulouse (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité)-Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut Pierre-Simon-Laplace (IPSL (FR_636)) Institut Polytechnique de Paris (IP Paris)-Institut Polytechnique de Paris (IP Paris)-Centre National d'Études Spatiales Toulouse (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité) Max-Planck-Institut für Meteorologie (MPI-M) Max-Planck-Gesellschaft Universität Hamburg (UHH) |
format |
Article in Journal/Newspaper |
author |
Smith, Abigail Jahn, Alexandra Burgard, Clara Notz, Dirk |
author_facet |
Smith, Abigail Jahn, Alexandra Burgard, Clara Notz, Dirk |
author_sort |
Smith, Abigail |
title |
Improving model-satellite comparisons of sea ice melt onset with a satellite simulator |
title_short |
Improving model-satellite comparisons of sea ice melt onset with a satellite simulator |
title_full |
Improving model-satellite comparisons of sea ice melt onset with a satellite simulator |
title_fullStr |
Improving model-satellite comparisons of sea ice melt onset with a satellite simulator |
title_full_unstemmed |
Improving model-satellite comparisons of sea ice melt onset with a satellite simulator |
title_sort |
improving model-satellite comparisons of sea ice melt onset with a satellite simulator |
publisher |
HAL CCSD |
publishDate |
2022 |
url |
https://hal.science/hal-04671839 https://hal.science/hal-04671839/document https://hal.science/hal-04671839/file/tc-16-3235-2022.pdf https://doi.org/10.5194/tc-16-3235-2022 |
genre |
Arctic Ocean Sea ice The Cryosphere |
genre_facet |
Arctic Ocean Sea ice The Cryosphere |
op_source |
ISSN: 1994-0424 EISSN: 1994-0416 The Cryosphere https://hal.science/hal-04671839 The Cryosphere, 2022, 16 (8), pp.3235-3248. ⟨10.5194/tc-16-3235-2022⟩ |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.5194/tc-16-3235-2022 hal-04671839 https://hal.science/hal-04671839 https://hal.science/hal-04671839/document https://hal.science/hal-04671839/file/tc-16-3235-2022.pdf doi:10.5194/tc-16-3235-2022 |
op_rights |
info:eu-repo/semantics/OpenAccess |
op_doi |
https://doi.org/10.5194/tc-16-3235-2022 |
container_title |
The Cryosphere |
container_volume |
16 |
container_issue |
8 |
container_start_page |
3235 |
op_container_end_page |
3248 |
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ftunivparis:oai:HAL:hal-04671839v1 2024-09-15T17:54:07+00:00 Improving model-satellite comparisons of sea ice melt onset with a satellite simulator Smith, Abigail Jahn, Alexandra Burgard, Clara Notz, Dirk University of Colorado Boulder Processus et interactions de fine échelle océanique (PROTEO) Laboratoire d'Océanographie et du Climat : Expérimentations et Approches Numériques (LOCEAN) Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut Pierre-Simon-Laplace (IPSL (FR_636)) École normale supérieure - Paris (ENS-PSL) Université Paris Sciences et Lettres (PSL)-Université Paris Sciences et Lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-École polytechnique (X) Institut Polytechnique de Paris (IP Paris)-Institut Polytechnique de Paris (IP Paris)-Centre National d'Études Spatiales Toulouse (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité)-École normale supérieure - Paris (ENS-PSL) Université Paris Sciences et Lettres (PSL)-Université Paris Sciences et Lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-École polytechnique (X) Institut Polytechnique de Paris (IP Paris)-Institut Polytechnique de Paris (IP Paris)-Centre National d'Études Spatiales Toulouse (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité)-Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut Pierre-Simon-Laplace (IPSL (FR_636)) Institut Polytechnique de Paris (IP Paris)-Institut Polytechnique de Paris (IP Paris)-Centre National d'Études Spatiales Toulouse (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité) Max-Planck-Institut für Meteorologie (MPI-M) Max-Planck-Gesellschaft Universität Hamburg (UHH) 2022 https://hal.science/hal-04671839 https://hal.science/hal-04671839/document https://hal.science/hal-04671839/file/tc-16-3235-2022.pdf https://doi.org/10.5194/tc-16-3235-2022 en eng HAL CCSD Copernicus info:eu-repo/semantics/altIdentifier/doi/10.5194/tc-16-3235-2022 hal-04671839 https://hal.science/hal-04671839 https://hal.science/hal-04671839/document https://hal.science/hal-04671839/file/tc-16-3235-2022.pdf doi:10.5194/tc-16-3235-2022 info:eu-repo/semantics/OpenAccess ISSN: 1994-0424 EISSN: 1994-0416 The Cryosphere https://hal.science/hal-04671839 The Cryosphere, 2022, 16 (8), pp.3235-3248. ⟨10.5194/tc-16-3235-2022⟩ [SDU.STU.GL]Sciences of the Universe [physics]/Earth Sciences/Glaciology [SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/Climatology info:eu-repo/semantics/article Journal articles 2022 ftunivparis https://doi.org/10.5194/tc-16-3235-2022 2024-08-28T23:58:24Z International audience Seasonal transitions in Arctic sea ice, such as the melt onset, have been found to be useful metrics for evaluating sea ice in climate models against observations. However, comparisons of melt onset dates between climate models and satellite observations are indirect. Satellite data products of melt onset rely on observed brightness temperatures, while climate models do not currently simulate brightness temperatures, and must therefore define melt onset with other modeled variables. Here we adapt a passive microwave sea ice satellite simulator, the Arctic Ocean Observation Operator (ARC3O), to produce simulated brightness temperatures that can be used to diagnose the timing of the earliest snowmelt in climate models, as we show here using Community Earth System Model version 2 (CESM2) ocean-ice hindcasts. By producing simulated brightness temperatures and earliest snowmelt estimation dates using CESM2 and ARC3O, we facilitate new and previously impossible comparisons between the model and satellite observations by removing the uncertainty that arises due to definition differences. Direct comparisons between the model and satellite data allow us to identify an early bias across large areas of the Arctic at the beginning of the CESM2 ocean-ice hindcast melt season, as well as improve our understanding of the physical processes underlying seasonal changes in brightness temperatures. In particular, the ARC3O allows us to show that satellite algorithm-based melt onset dates likely occur after significant snowmelt has already taken place. Article in Journal/Newspaper Arctic Ocean Sea ice The Cryosphere Université de Paris: Portail HAL The Cryosphere 16 8 3235 3248 |