Assessing the performance of climate change simulation results from BESM-OA2.5 compared with a CMIP5 model ensemble
International audience The main features of climate change patterns, as simulated by the coupled ocean-atmosphere version 2.5 of the Brazilian Earth System Model (BESM), are compared with those of 25 other CMIP5 models, focusing on temperature , precipitation, atmospheric circulation, and radiative...
Published in: | Geoscientific Model Development |
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2020
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Online Access: | https://hal.sorbonne-universite.fr/hal-02797487 https://hal.sorbonne-universite.fr/hal-02797487/document https://hal.sorbonne-universite.fr/hal-02797487/file/gmd-13-2277-2020.pdf https://doi.org/10.5194/gmd-13-2277-2020 |
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ftinsu:oai:HAL:hal-02797487v1 2024-04-14T08:01:42+00:00 Assessing the performance of climate change simulation results from BESM-OA2.5 compared with a CMIP5 model ensemble Capistrano, Vinicius, Buscioli Nobre, Paulo Veiga, Sandro, F Tedeschi, Renata Silva, Josiane Bottino, Marcus da Silva Jr., Manoel Baptista Menezes Neto, Otacílio Leandro Figueroa, Silvio, Nilo Bonatti, José, Paulo Yoshio Kubota, Paulo Fernandez, Julio Pablo Reyes Giarolla, Emanuel Vial, Jessica Nobre, Carlos, A National Institute for Space Research Sao José dos Campos = Instituto Nacional de Pesquisas Espaciais (INPE) Universidade do Estado do Amazonas (UEA) Laboratoire de Météorologie Dynamique (UMR 8539) (LMD) Institut national des sciences de l'Univers (INSU - CNRS)-École polytechnique (X)-École des Ponts ParisTech (ENPC)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Département des Géosciences - ENS Paris École normale supérieure - Paris (ENS-PSL) Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-École normale supérieure - Paris (ENS-PSL) Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL) 2020 https://hal.sorbonne-universite.fr/hal-02797487 https://hal.sorbonne-universite.fr/hal-02797487/document https://hal.sorbonne-universite.fr/hal-02797487/file/gmd-13-2277-2020.pdf https://doi.org/10.5194/gmd-13-2277-2020 en eng HAL CCSD European Geosciences Union info:eu-repo/semantics/altIdentifier/doi/10.5194/gmd-13-2277-2020 hal-02797487 https://hal.sorbonne-universite.fr/hal-02797487 https://hal.sorbonne-universite.fr/hal-02797487/document https://hal.sorbonne-universite.fr/hal-02797487/file/gmd-13-2277-2020.pdf doi:10.5194/gmd-13-2277-2020 info:eu-repo/semantics/OpenAccess ISSN: 1991-9603 EISSN: 1991-959X Geoscientific Model Development https://hal.sorbonne-universite.fr/hal-02797487 Geoscientific Model Development, 2020, 13 (5), pp.2277-2296. ⟨10.5194/gmd-13-2277-2020⟩ [SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/Climatology [SDU.OCEAN]Sciences of the Universe [physics]/Ocean Atmosphere info:eu-repo/semantics/article Journal articles 2020 ftinsu https://doi.org/10.5194/gmd-13-2277-2020 2024-03-21T17:19:24Z International audience The main features of climate change patterns, as simulated by the coupled ocean-atmosphere version 2.5 of the Brazilian Earth System Model (BESM), are compared with those of 25 other CMIP5 models, focusing on temperature , precipitation, atmospheric circulation, and radiative feedbacks. The climate sensitivity to quadrupling the atmospheric CO 2 concentration was investigated via two methods: linear regression (Gregory et al., 2004) and radiative kernels (Soden and Held, 2006; Soden et al., 2008). Radiative kernels from both the National Center for Atmospheric Research (NCAR) and the Geophysical Fluid Dynamics Laboratory (GFDL) were used to decompose the climate feedback responses of the CMIP5 models and BESM into different processes. By applying the linear regression method for equilibrium climate sensitivity (ECS) estimation, we obtained a BESM value close to the ensemble mean value. This study reveals that the BESM simulations yield zonally average feedbacks, as estimated from radiative kernels, that lie within the ensemble standard deviation. Exceptions were found in the high latitudes of the Northern Hemisphere and over the ocean near Antarctica, where BESM showed values for lapse rate, humidity feedback, and albedo that were marginally outside the standard deviation of the values from the CMIP5 multi-model ensemble. For those areas, BESM also featured a strong positive cloud feedback that appeared as an outlier compared with all analyzed models. However, BESM showed physically consistent changes in the temperature , precipitation, and atmospheric circulation patterns relative to the CMIP5 ensemble mean. Article in Journal/Newspaper Antarc* Antarctica Institut national des sciences de l'Univers: HAL-INSU Geoscientific Model Development 13 5 2277 2296 |
institution |
Open Polar |
collection |
Institut national des sciences de l'Univers: HAL-INSU |
op_collection_id |
ftinsu |
language |
English |
topic |
[SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/Climatology [SDU.OCEAN]Sciences of the Universe [physics]/Ocean Atmosphere |
spellingShingle |
[SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/Climatology [SDU.OCEAN]Sciences of the Universe [physics]/Ocean Atmosphere Capistrano, Vinicius, Buscioli Nobre, Paulo Veiga, Sandro, F Tedeschi, Renata Silva, Josiane Bottino, Marcus da Silva Jr., Manoel Baptista Menezes Neto, Otacílio Leandro Figueroa, Silvio, Nilo Bonatti, José, Paulo Yoshio Kubota, Paulo Fernandez, Julio Pablo Reyes Giarolla, Emanuel Vial, Jessica Nobre, Carlos, A Assessing the performance of climate change simulation results from BESM-OA2.5 compared with a CMIP5 model ensemble |
topic_facet |
[SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/Climatology [SDU.OCEAN]Sciences of the Universe [physics]/Ocean Atmosphere |
description |
International audience The main features of climate change patterns, as simulated by the coupled ocean-atmosphere version 2.5 of the Brazilian Earth System Model (BESM), are compared with those of 25 other CMIP5 models, focusing on temperature , precipitation, atmospheric circulation, and radiative feedbacks. The climate sensitivity to quadrupling the atmospheric CO 2 concentration was investigated via two methods: linear regression (Gregory et al., 2004) and radiative kernels (Soden and Held, 2006; Soden et al., 2008). Radiative kernels from both the National Center for Atmospheric Research (NCAR) and the Geophysical Fluid Dynamics Laboratory (GFDL) were used to decompose the climate feedback responses of the CMIP5 models and BESM into different processes. By applying the linear regression method for equilibrium climate sensitivity (ECS) estimation, we obtained a BESM value close to the ensemble mean value. This study reveals that the BESM simulations yield zonally average feedbacks, as estimated from radiative kernels, that lie within the ensemble standard deviation. Exceptions were found in the high latitudes of the Northern Hemisphere and over the ocean near Antarctica, where BESM showed values for lapse rate, humidity feedback, and albedo that were marginally outside the standard deviation of the values from the CMIP5 multi-model ensemble. For those areas, BESM also featured a strong positive cloud feedback that appeared as an outlier compared with all analyzed models. However, BESM showed physically consistent changes in the temperature , precipitation, and atmospheric circulation patterns relative to the CMIP5 ensemble mean. |
author2 |
National Institute for Space Research Sao José dos Campos = Instituto Nacional de Pesquisas Espaciais (INPE) Universidade do Estado do Amazonas (UEA) Laboratoire de Météorologie Dynamique (UMR 8539) (LMD) Institut national des sciences de l'Univers (INSU - CNRS)-École polytechnique (X)-École des Ponts ParisTech (ENPC)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Département des Géosciences - ENS Paris École normale supérieure - Paris (ENS-PSL) Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-École normale supérieure - Paris (ENS-PSL) Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL) |
format |
Article in Journal/Newspaper |
author |
Capistrano, Vinicius, Buscioli Nobre, Paulo Veiga, Sandro, F Tedeschi, Renata Silva, Josiane Bottino, Marcus da Silva Jr., Manoel Baptista Menezes Neto, Otacílio Leandro Figueroa, Silvio, Nilo Bonatti, José, Paulo Yoshio Kubota, Paulo Fernandez, Julio Pablo Reyes Giarolla, Emanuel Vial, Jessica Nobre, Carlos, A |
author_facet |
Capistrano, Vinicius, Buscioli Nobre, Paulo Veiga, Sandro, F Tedeschi, Renata Silva, Josiane Bottino, Marcus da Silva Jr., Manoel Baptista Menezes Neto, Otacílio Leandro Figueroa, Silvio, Nilo Bonatti, José, Paulo Yoshio Kubota, Paulo Fernandez, Julio Pablo Reyes Giarolla, Emanuel Vial, Jessica Nobre, Carlos, A |
author_sort |
Capistrano, Vinicius, Buscioli |
title |
Assessing the performance of climate change simulation results from BESM-OA2.5 compared with a CMIP5 model ensemble |
title_short |
Assessing the performance of climate change simulation results from BESM-OA2.5 compared with a CMIP5 model ensemble |
title_full |
Assessing the performance of climate change simulation results from BESM-OA2.5 compared with a CMIP5 model ensemble |
title_fullStr |
Assessing the performance of climate change simulation results from BESM-OA2.5 compared with a CMIP5 model ensemble |
title_full_unstemmed |
Assessing the performance of climate change simulation results from BESM-OA2.5 compared with a CMIP5 model ensemble |
title_sort |
assessing the performance of climate change simulation results from besm-oa2.5 compared with a cmip5 model ensemble |
publisher |
HAL CCSD |
publishDate |
2020 |
url |
https://hal.sorbonne-universite.fr/hal-02797487 https://hal.sorbonne-universite.fr/hal-02797487/document https://hal.sorbonne-universite.fr/hal-02797487/file/gmd-13-2277-2020.pdf https://doi.org/10.5194/gmd-13-2277-2020 |
genre |
Antarc* Antarctica |
genre_facet |
Antarc* Antarctica |
op_source |
ISSN: 1991-9603 EISSN: 1991-959X Geoscientific Model Development https://hal.sorbonne-universite.fr/hal-02797487 Geoscientific Model Development, 2020, 13 (5), pp.2277-2296. ⟨10.5194/gmd-13-2277-2020⟩ |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.5194/gmd-13-2277-2020 hal-02797487 https://hal.sorbonne-universite.fr/hal-02797487 https://hal.sorbonne-universite.fr/hal-02797487/document https://hal.sorbonne-universite.fr/hal-02797487/file/gmd-13-2277-2020.pdf doi:10.5194/gmd-13-2277-2020 |
op_rights |
info:eu-repo/semantics/OpenAccess |
op_doi |
https://doi.org/10.5194/gmd-13-2277-2020 |
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Geoscientific Model Development |
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5 |
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2277 |
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