An AeroCom assessment of black carbon in Arctic snow and sea ice

International audience Though many global aerosols models prognose surface deposition, only a few models have been used to directly simulate the radiative effect from black carbon (BC) deposition to snow and sea ice. Here, we apply aerosol de-position fields from 25 models contributing to two phases...

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Published in:Atmospheric Chemistry and Physics
Main Authors: Jiao, C, Flanner, M. G., Balkanski, Yves, Bauer, S. E., Bellouin, N., Berntsen, T. K., Bian, H., Carslaw, K. S., Chin, M., de Luca, N, Diehl, T, Ghan, S. J., Iversen, T., Kirkevåg, A., Koch, D, Liu, X., Mann, G. W., Penner, J. E., Pitari, G., Schulz, M, Seland, O., Skeie, R, B, Steenrod, S. D., Stier, P, Takemura, T., Tsigaridis, K, van Noije, T, Yun, Y, Zhang, K
Other Authors: National Center for Atmospheric Research Boulder (NCAR), Laboratoire des Sciences du Climat et de l'Environnement Gif-sur-Yvette (LSCE), 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)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Modelling the Earth Response to Multiple Anthropogenic Interactions and Dynamics (MERMAID), 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)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-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)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), University of Maryland Baltimore, School of Earth and Environment Leeds (SEE), University of Leeds, Pacific Northwest National Laboratory (PNNL), University of Oslo (UiO), University of Michigan Ann Arbor, University of Michigan System
Format: Article in Journal/Newspaper
Language:English
Published: HAL CCSD 2014
Subjects:
Online Access:https://hal.science/hal-02872355
https://hal.science/hal-02872355/document
https://hal.science/hal-02872355/file/Jiao2014_ACP.pdf
https://doi.org/10.5194/acp-14-2399-2014
id ftinsu:oai:HAL:hal-02872355v1
record_format openpolar
institution Open Polar
collection Institut national des sciences de l'Univers: HAL-INSU
op_collection_id ftinsu
language English
topic [PHYS.PHYS.PHYS-AO-PH]Physics [physics]/Physics [physics]/Atmospheric and Oceanic Physics [physics.ao-ph]
[SDE.MCG]Environmental Sciences/Global Changes
[SDU.OCEAN]Sciences of the Universe [physics]/Ocean
Atmosphere
spellingShingle [PHYS.PHYS.PHYS-AO-PH]Physics [physics]/Physics [physics]/Atmospheric and Oceanic Physics [physics.ao-ph]
[SDE.MCG]Environmental Sciences/Global Changes
[SDU.OCEAN]Sciences of the Universe [physics]/Ocean
Atmosphere
Jiao, C
Flanner, M. G.
Balkanski, Yves
Bauer, S. E.
Bellouin, N.
Berntsen, T. K.
Bian, H.
Carslaw, K. S.
Chin, M.
de Luca, N
Diehl, T
Ghan, S. J.
Iversen, T.
Kirkevåg, A.
Koch, D
Liu, X.
Mann, G. W.
Penner, J. E.
Pitari, G.
Schulz, M
Seland, O.
Skeie, R, B
Steenrod, S. D.
Stier, P
Takemura, T.
Tsigaridis, K
van Noije, T
Yun, Y
Zhang, K
An AeroCom assessment of black carbon in Arctic snow and sea ice
topic_facet [PHYS.PHYS.PHYS-AO-PH]Physics [physics]/Physics [physics]/Atmospheric and Oceanic Physics [physics.ao-ph]
[SDE.MCG]Environmental Sciences/Global Changes
[SDU.OCEAN]Sciences of the Universe [physics]/Ocean
Atmosphere
description International audience Though many global aerosols models prognose surface deposition, only a few models have been used to directly simulate the radiative effect from black carbon (BC) deposition to snow and sea ice. Here, we apply aerosol de-position fields from 25 models contributing to two phases of the Aerosol Comparisons between Observations and Models (AeroCom) project to simulate and evaluate within-snow BC concentrations and radiative effect in the Arctic. We accomplish this by driving the offline land and sea ice components of the Community Earth System Model with different deposition fields and meteorological conditions from 2004 to 2009, during which an extensive field campaign of BC measurements in Arctic snow occurred. We find that models generally underestimate BC concentrations in snow in northern Russia and Norway, while overestimating BC amounts elsewhere in the Arctic. Although simulated BC distributions in snow are poorly correlated with measurements , mean values are reasonable. The multi-model mean (range) bias in BC concentrations, sampled over the same grid cells, snow depths, and months of measurements, are −4.4 (−13.2 to +10.7) ng g −1 for an earlier phase of Aero-Com models (phase I), and +4.1 (−13.0 to +21.4) ng g −1 Published by Copernicus Publications on behalf of the European Geosciences Union. 2400 C. Jiao et al.: Black carbon in Arctic snow assessment for a more recent phase of AeroCom models (phase II), compared to the observational mean of 19.2 ng g −1. Factors determining model BC concentrations in Arctic snow include Arctic BC emissions, transport of extra-Arctic aerosols, precipitation , deposition efficiency of aerosols within the Arc-tic, and meltwater removal of particles in snow. Sensitivity studies show that the model-measurement evaluation is only weakly affected by meltwater scavenging efficiency because most measurements were conducted in non-melting snow. The Arctic (60-90 • N) atmospheric residence time for BC in phase II models ranges from 3.7 to 23.2 days, ...
author2 National Center for Atmospheric Research Boulder (NCAR)
Laboratoire des Sciences du Climat et de l'Environnement Gif-sur-Yvette (LSCE)
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)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)
Modelling the Earth Response to Multiple Anthropogenic Interactions and Dynamics (MERMAID)
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)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-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)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)
University of Maryland Baltimore
School of Earth and Environment Leeds (SEE)
University of Leeds
Pacific Northwest National Laboratory (PNNL)
University of Oslo (UiO)
University of Michigan Ann Arbor
University of Michigan System
format Article in Journal/Newspaper
author Jiao, C
Flanner, M. G.
Balkanski, Yves
Bauer, S. E.
Bellouin, N.
Berntsen, T. K.
Bian, H.
Carslaw, K. S.
Chin, M.
de Luca, N
Diehl, T
Ghan, S. J.
Iversen, T.
Kirkevåg, A.
Koch, D
Liu, X.
Mann, G. W.
Penner, J. E.
Pitari, G.
Schulz, M
Seland, O.
Skeie, R, B
Steenrod, S. D.
Stier, P
Takemura, T.
Tsigaridis, K
van Noije, T
Yun, Y
Zhang, K
author_facet Jiao, C
Flanner, M. G.
Balkanski, Yves
Bauer, S. E.
Bellouin, N.
Berntsen, T. K.
Bian, H.
Carslaw, K. S.
Chin, M.
de Luca, N
Diehl, T
Ghan, S. J.
Iversen, T.
Kirkevåg, A.
Koch, D
Liu, X.
Mann, G. W.
Penner, J. E.
Pitari, G.
Schulz, M
Seland, O.
Skeie, R, B
Steenrod, S. D.
Stier, P
Takemura, T.
Tsigaridis, K
van Noije, T
Yun, Y
Zhang, K
author_sort Jiao, C
title An AeroCom assessment of black carbon in Arctic snow and sea ice
title_short An AeroCom assessment of black carbon in Arctic snow and sea ice
title_full An AeroCom assessment of black carbon in Arctic snow and sea ice
title_fullStr An AeroCom assessment of black carbon in Arctic snow and sea ice
title_full_unstemmed An AeroCom assessment of black carbon in Arctic snow and sea ice
title_sort aerocom assessment of black carbon in arctic snow and sea ice
publisher HAL CCSD
publishDate 2014
url https://hal.science/hal-02872355
https://hal.science/hal-02872355/document
https://hal.science/hal-02872355/file/Jiao2014_ACP.pdf
https://doi.org/10.5194/acp-14-2399-2014
geographic Arctic
Norway
geographic_facet Arctic
Norway
genre Arctic
black carbon
Sea ice
genre_facet Arctic
black carbon
Sea ice
op_source ISSN: 1680-7316
EISSN: 1680-7324
Atmospheric Chemistry and Physics
https://hal.science/hal-02872355
Atmospheric Chemistry and Physics, 2014, 14 (5), pp.2399 - 2417. ⟨10.5194/acp-14-2399-2014⟩
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container_title Atmospheric Chemistry and Physics
container_volume 14
container_issue 5
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spelling ftinsu:oai:HAL:hal-02872355v1 2023-11-12T04:10:48+01:00 An AeroCom assessment of black carbon in Arctic snow and sea ice Jiao, C Flanner, M. G. Balkanski, Yves Bauer, S. E. Bellouin, N. Berntsen, T. K. Bian, H. Carslaw, K. S. Chin, M. de Luca, N Diehl, T Ghan, S. J. Iversen, T. Kirkevåg, A. Koch, D Liu, X. Mann, G. W. Penner, J. E. Pitari, G. Schulz, M Seland, O. Skeie, R, B Steenrod, S. D. Stier, P Takemura, T. Tsigaridis, K van Noije, T Yun, Y Zhang, K National Center for Atmospheric Research Boulder (NCAR) Laboratoire des Sciences du Climat et de l'Environnement Gif-sur-Yvette (LSCE) 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)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS) Modelling the Earth Response to Multiple Anthropogenic Interactions and Dynamics (MERMAID) 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)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-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)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS) University of Maryland Baltimore School of Earth and Environment Leeds (SEE) University of Leeds Pacific Northwest National Laboratory (PNNL) University of Oslo (UiO) University of Michigan Ann Arbor University of Michigan System 2014 https://hal.science/hal-02872355 https://hal.science/hal-02872355/document https://hal.science/hal-02872355/file/Jiao2014_ACP.pdf https://doi.org/10.5194/acp-14-2399-2014 en eng HAL CCSD European Geosciences Union info:eu-repo/semantics/altIdentifier/doi/10.5194/acp-14-2399-2014 hal-02872355 https://hal.science/hal-02872355 https://hal.science/hal-02872355/document https://hal.science/hal-02872355/file/Jiao2014_ACP.pdf doi:10.5194/acp-14-2399-2014 info:eu-repo/semantics/OpenAccess ISSN: 1680-7316 EISSN: 1680-7324 Atmospheric Chemistry and Physics https://hal.science/hal-02872355 Atmospheric Chemistry and Physics, 2014, 14 (5), pp.2399 - 2417. ⟨10.5194/acp-14-2399-2014⟩ [PHYS.PHYS.PHYS-AO-PH]Physics [physics]/Physics [physics]/Atmospheric and Oceanic Physics [physics.ao-ph] [SDE.MCG]Environmental Sciences/Global Changes [SDU.OCEAN]Sciences of the Universe [physics]/Ocean Atmosphere info:eu-repo/semantics/article Journal articles 2014 ftinsu https://doi.org/10.5194/acp-14-2399-2014 2023-10-25T16:30:30Z International audience Though many global aerosols models prognose surface deposition, only a few models have been used to directly simulate the radiative effect from black carbon (BC) deposition to snow and sea ice. Here, we apply aerosol de-position fields from 25 models contributing to two phases of the Aerosol Comparisons between Observations and Models (AeroCom) project to simulate and evaluate within-snow BC concentrations and radiative effect in the Arctic. We accomplish this by driving the offline land and sea ice components of the Community Earth System Model with different deposition fields and meteorological conditions from 2004 to 2009, during which an extensive field campaign of BC measurements in Arctic snow occurred. We find that models generally underestimate BC concentrations in snow in northern Russia and Norway, while overestimating BC amounts elsewhere in the Arctic. Although simulated BC distributions in snow are poorly correlated with measurements , mean values are reasonable. The multi-model mean (range) bias in BC concentrations, sampled over the same grid cells, snow depths, and months of measurements, are −4.4 (−13.2 to +10.7) ng g −1 for an earlier phase of Aero-Com models (phase I), and +4.1 (−13.0 to +21.4) ng g −1 Published by Copernicus Publications on behalf of the European Geosciences Union. 2400 C. Jiao et al.: Black carbon in Arctic snow assessment for a more recent phase of AeroCom models (phase II), compared to the observational mean of 19.2 ng g −1. Factors determining model BC concentrations in Arctic snow include Arctic BC emissions, transport of extra-Arctic aerosols, precipitation , deposition efficiency of aerosols within the Arc-tic, and meltwater removal of particles in snow. Sensitivity studies show that the model-measurement evaluation is only weakly affected by meltwater scavenging efficiency because most measurements were conducted in non-melting snow. The Arctic (60-90 • N) atmospheric residence time for BC in phase II models ranges from 3.7 to 23.2 days, ... Article in Journal/Newspaper Arctic black carbon Sea ice Institut national des sciences de l'Univers: HAL-INSU Arctic Norway Atmospheric Chemistry and Physics 14 5 2399 2417