On the sensitivity of the Amazon surface climate to two land-surface hydrology schemes using a high-resolution regional climate model (RegCM4)

Detalhes bibliográficos
Autor(a) principal: Anwar, Samy A.
Data de Publicação: 2022
Outros Autores: Reboita, Michelle Simões, Llopart, Marta [UNESP]
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1002/joc.7367
http://hdl.handle.net/11449/222405
Resumo: Two 11-year simulations were conducted to investigate the influence of two runoff schemes in the community land model version 4.5 (CLM45) on the Amazon surface energy balance and surface climate using a high-resolution regional climate model (RegCM4-CLM45). The default scheme is TOPMODEL (TOP), while the alternative is Variable Infiltration Capacity (VIC). In the two simulations, the vegetation status is prescribed (satellite phenology; SP). The first simulation was designated as SP-TOP, while the second simulation was referred to as SP-VIC, and both of them were evaluated using reanalysis products (e.g., ERA5) and micrometeorology data measurements. Results show that the SP-VIC severely underestimates latent heat and overestimates sensible heat fluxes, more than SP-TOP in comparison with the ERA5. This explains the large warm bias observed in the winter season. On the other hand, the SP-VIC shows a slightly smaller dry bias than SP-TOP against the Climate Research Unit (CRU) data. Our results show that SP-VIC does not improve the quality of the simulation compared to SP-TOP, which suggests the necessity of additional calibration of the VIC surface parameters using in situ observations of the Amazon and revising the VIC runoff scheme to perform new sensitivity experiments. The same needs to be done with SP-TOP.
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spelling On the sensitivity of the Amazon surface climate to two land-surface hydrology schemes using a high-resolution regional climate model (RegCM4)Amazonregional climate modellingrunoff schemesatellite phenologyTwo 11-year simulations were conducted to investigate the influence of two runoff schemes in the community land model version 4.5 (CLM45) on the Amazon surface energy balance and surface climate using a high-resolution regional climate model (RegCM4-CLM45). The default scheme is TOPMODEL (TOP), while the alternative is Variable Infiltration Capacity (VIC). In the two simulations, the vegetation status is prescribed (satellite phenology; SP). The first simulation was designated as SP-TOP, while the second simulation was referred to as SP-VIC, and both of them were evaluated using reanalysis products (e.g., ERA5) and micrometeorology data measurements. Results show that the SP-VIC severely underestimates latent heat and overestimates sensible heat fluxes, more than SP-TOP in comparison with the ERA5. This explains the large warm bias observed in the winter season. On the other hand, the SP-VIC shows a slightly smaller dry bias than SP-TOP against the Climate Research Unit (CRU) data. Our results show that SP-VIC does not improve the quality of the simulation compared to SP-TOP, which suggests the necessity of additional calibration of the VIC surface parameters using in situ observations of the Amazon and revising the VIC runoff scheme to perform new sensitivity experiments. The same needs to be done with SP-TOP.Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Egyptian Meteorological AuthorityNatural Resources Institute Federal University of Itajubá (UNIFEI), MGDepartamento de Física Universidade Estadual Paulista (UNESP), SPDepartamento de Física Universidade Estadual Paulista (UNESP), SPEgyptian Meteorological AuthorityFederal University of Itajubá (UNIFEI)Universidade Estadual Paulista (UNESP)Anwar, Samy A.Reboita, Michelle SimõesLlopart, Marta [UNESP]2022-04-28T19:44:34Z2022-04-28T19:44:34Z2022-03-30info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article2311-2327http://dx.doi.org/10.1002/joc.7367International Journal of Climatology, v. 42, n. 4, p. 2311-2327, 2022.1097-00880899-8418http://hdl.handle.net/11449/22240510.1002/joc.73672-s2.0-85114856761Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengInternational Journal of Climatologyinfo:eu-repo/semantics/openAccess2022-04-28T19:44:34Zoai:repositorio.unesp.br:11449/222405Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T22:35:46.630443Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv On the sensitivity of the Amazon surface climate to two land-surface hydrology schemes using a high-resolution regional climate model (RegCM4)
title On the sensitivity of the Amazon surface climate to two land-surface hydrology schemes using a high-resolution regional climate model (RegCM4)
spellingShingle On the sensitivity of the Amazon surface climate to two land-surface hydrology schemes using a high-resolution regional climate model (RegCM4)
Anwar, Samy A.
Amazon
regional climate modelling
runoff scheme
satellite phenology
title_short On the sensitivity of the Amazon surface climate to two land-surface hydrology schemes using a high-resolution regional climate model (RegCM4)
title_full On the sensitivity of the Amazon surface climate to two land-surface hydrology schemes using a high-resolution regional climate model (RegCM4)
title_fullStr On the sensitivity of the Amazon surface climate to two land-surface hydrology schemes using a high-resolution regional climate model (RegCM4)
title_full_unstemmed On the sensitivity of the Amazon surface climate to two land-surface hydrology schemes using a high-resolution regional climate model (RegCM4)
title_sort On the sensitivity of the Amazon surface climate to two land-surface hydrology schemes using a high-resolution regional climate model (RegCM4)
author Anwar, Samy A.
author_facet Anwar, Samy A.
Reboita, Michelle Simões
Llopart, Marta [UNESP]
author_role author
author2 Reboita, Michelle Simões
Llopart, Marta [UNESP]
author2_role author
author
dc.contributor.none.fl_str_mv Egyptian Meteorological Authority
Federal University of Itajubá (UNIFEI)
Universidade Estadual Paulista (UNESP)
dc.contributor.author.fl_str_mv Anwar, Samy A.
Reboita, Michelle Simões
Llopart, Marta [UNESP]
dc.subject.por.fl_str_mv Amazon
regional climate modelling
runoff scheme
satellite phenology
topic Amazon
regional climate modelling
runoff scheme
satellite phenology
description Two 11-year simulations were conducted to investigate the influence of two runoff schemes in the community land model version 4.5 (CLM45) on the Amazon surface energy balance and surface climate using a high-resolution regional climate model (RegCM4-CLM45). The default scheme is TOPMODEL (TOP), while the alternative is Variable Infiltration Capacity (VIC). In the two simulations, the vegetation status is prescribed (satellite phenology; SP). The first simulation was designated as SP-TOP, while the second simulation was referred to as SP-VIC, and both of them were evaluated using reanalysis products (e.g., ERA5) and micrometeorology data measurements. Results show that the SP-VIC severely underestimates latent heat and overestimates sensible heat fluxes, more than SP-TOP in comparison with the ERA5. This explains the large warm bias observed in the winter season. On the other hand, the SP-VIC shows a slightly smaller dry bias than SP-TOP against the Climate Research Unit (CRU) data. Our results show that SP-VIC does not improve the quality of the simulation compared to SP-TOP, which suggests the necessity of additional calibration of the VIC surface parameters using in situ observations of the Amazon and revising the VIC runoff scheme to perform new sensitivity experiments. The same needs to be done with SP-TOP.
publishDate 2022
dc.date.none.fl_str_mv 2022-04-28T19:44:34Z
2022-04-28T19:44:34Z
2022-03-30
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.1002/joc.7367
International Journal of Climatology, v. 42, n. 4, p. 2311-2327, 2022.
1097-0088
0899-8418
http://hdl.handle.net/11449/222405
10.1002/joc.7367
2-s2.0-85114856761
url http://dx.doi.org/10.1002/joc.7367
http://hdl.handle.net/11449/222405
identifier_str_mv International Journal of Climatology, v. 42, n. 4, p. 2311-2327, 2022.
1097-0088
0899-8418
10.1002/joc.7367
2-s2.0-85114856761
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv International Journal of Climatology
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 2311-2327
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
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