Mechanisms of tropical precipitation biases in climate models

Descripción del Articulo

We investigate the possible causes for inter-model spread in tropical zonal-mean precipitation pattern, which is divided into hemispherically symmetric and anti-symmetric modes via empirical orthogonal function analysis. The symmetric pattern characterizes the leading mode and is tightly related to...

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Detalles Bibliográficos
Autores: Kim, Hanjun, Kang, Sarah M., Takahashi, Ken, Donohoe, Aaron, Pendergrass, Angeline G.
Formato: artículo
Fecha de Publicación:2020
Institución:Servicio Nacional de Meteorología e Hidrología del Perú
Repositorio:SENAMHI-Institucional
Lenguaje:inglés
OAI Identifier:oai:repositorio.senamhi.gob.pe:20.500.12542/481
Enlace del recurso:https://hdl.handle.net/20.500.12542/481
https://doi.org/10.1007/s00382-020-05325-z
Nivel de acceso:acceso abierto
Materia:Tropical Precipitation
Model Uncertainty
Double ITCZ Problem
Modelos
Zona Tropical
Energy Flow
Precipitación
Climatología
http://purl.org/pe-repo/ocde/ford#1.05.00
precipitacion - Clima y Eventos Naturales
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dc.title.en_US.fl_str_mv Mechanisms of tropical precipitation biases in climate models
title Mechanisms of tropical precipitation biases in climate models
spellingShingle Mechanisms of tropical precipitation biases in climate models
Kim, Hanjun
Tropical Precipitation
Model Uncertainty
Double ITCZ Problem
Modelos
Zona Tropical
Energy Flow
Precipitación
Climatología
http://purl.org/pe-repo/ocde/ford#1.05.00
precipitacion - Clima y Eventos Naturales
title_short Mechanisms of tropical precipitation biases in climate models
title_full Mechanisms of tropical precipitation biases in climate models
title_fullStr Mechanisms of tropical precipitation biases in climate models
title_full_unstemmed Mechanisms of tropical precipitation biases in climate models
title_sort Mechanisms of tropical precipitation biases in climate models
author Kim, Hanjun
author_facet Kim, Hanjun
Kang, Sarah M.
Takahashi, Ken
Donohoe, Aaron
Pendergrass, Angeline G.
author_role author
author2 Kang, Sarah M.
Takahashi, Ken
Donohoe, Aaron
Pendergrass, Angeline G.
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Kim, Hanjun
Kang, Sarah M.
Takahashi, Ken
Donohoe, Aaron
Pendergrass, Angeline G.
dc.subject.en_US.fl_str_mv Tropical Precipitation
Model Uncertainty
Double ITCZ Problem
Modelos
Zona Tropical
Energy Flow
topic Tropical Precipitation
Model Uncertainty
Double ITCZ Problem
Modelos
Zona Tropical
Energy Flow
Precipitación
Climatología
http://purl.org/pe-repo/ocde/ford#1.05.00
precipitacion - Clima y Eventos Naturales
dc.subject.es_PE.fl_str_mv Precipitación
Climatología
dc.subject.ocde.es_PE.fl_str_mv http://purl.org/pe-repo/ocde/ford#1.05.00
dc.subject.sinia.es_PE.fl_str_mv precipitacion - Clima y Eventos Naturales
description We investigate the possible causes for inter-model spread in tropical zonal-mean precipitation pattern, which is divided into hemispherically symmetric and anti-symmetric modes via empirical orthogonal function analysis. The symmetric pattern characterizes the leading mode and is tightly related to the seasonal amplitude of maximum precipitation position. The energetic constraints link the symmetric pattern to the seasonal amplitude in cross-equatorial atmospheric energy transport AET0 and the annual-mean equatorial net energy input NEI0. Decomposition of AET0 into the energetics variables indicates that the inter-model spread in symmetric precipitation pattern is correlated with the inter-model spread in clear-sky atmospheric shortwave absorption, which most likely arises due to differences in radiative transfer parameterizations rather than water vapor patterns. Among the components that consist NEI0, the inter-model spread in symmetric precipitation pattern is mostly associated with the inter-model spread in net surface energy flux in the equatorial region, which is modulated by the strength of cooling by equatorial upwelling. Our results provide clues to understand the mechanism of tropical precipitation bias, thereby providing guidance for model improvements.
publishDate 2020
dc.date.accessioned.none.fl_str_mv 2020-10-29T17:03:52Z
dc.date.available.none.fl_str_mv 2020-10-29T17:03:52Z
dc.date.issued.fl_str_mv 2020-10-27
dc.type.es_PE.fl_str_mv info:eu-repo/semantics/article
dc.type.sinia.es_PE.fl_str_mv text/publicacion cientifica
format article
dc.identifier.citation.es_PE.fl_str_mv Kim, H., Kang, S.M., Takahashi, K. et al. (2020) Mechanisms of tropical precipitation biases in climate models . Clim Dyn. https://doi.org/10.1007/s00382-020-05325-z
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/20.500.12542/481
dc.identifier.isni.none.fl_str_mv 0000 0001 0746 0446
dc.identifier.doi.none.fl_str_mv https://doi.org/10.1007/s00382-020-05325-z
dc.identifier.journal.es_PE.fl_str_mv Climate Dynamics
dc.identifier.url.none.fl_str_mv https://hdl.handle.net/20.500.12542/481
https://hdl.handle.net/20.500.12542/481
https://hdl.handle.net/20.500.12542/481
https://hdl.handle.net/20.500.12542/481
identifier_str_mv Kim, H., Kang, S.M., Takahashi, K. et al. (2020) Mechanisms of tropical precipitation biases in climate models . Clim Dyn. https://doi.org/10.1007/s00382-020-05325-z
0000 0001 0746 0446
Climate Dynamics
url https://hdl.handle.net/20.500.12542/481
https://doi.org/10.1007/s00382-020-05325-z
dc.language.iso.es_PE.fl_str_mv eng
language eng
dc.relation.ispartof.none.fl_str_mv urn:issn:1432-0894
dc.relation.uri.none.fl_str_mv https://par.nsf.gov/biblio/10298218-mechanisms-tropical-precipitation-biases-climate-models
dc.rights.es_PE.fl_str_mv info:eu-repo/semantics/openAccess
Reconocimiento - No comercial - Sin obra derivada (CC BY-NC-ND)
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eu_rights_str_mv openAccess
rights_invalid_str_mv Reconocimiento - No comercial - Sin obra derivada (CC BY-NC-ND)
https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.format.es_PE.fl_str_mv application/pdf
dc.publisher.es_PE.fl_str_mv Springer
dc.source.es_PE.fl_str_mv Repositorio Institucional - SENAMHI
Servicio Nacional de Meteorología e Hidrología del Perú
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instname_str Servicio Nacional de Meteorología e Hidrología del Perú
instacron_str SENAMHI
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reponame_str SENAMHI-Institucional
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spelling Kim, HanjunKang, Sarah M.Takahashi, KenDonohoe, AaronPendergrass, Angeline G.2020-10-29T17:03:52Z2020-10-29T17:03:52Z2020-10-27Kim, H., Kang, S.M., Takahashi, K. et al. (2020) Mechanisms of tropical precipitation biases in climate models . Clim Dyn. https://doi.org/10.1007/s00382-020-05325-zhttps://hdl.handle.net/20.500.12542/4810000 0001 0746 0446https://doi.org/10.1007/s00382-020-05325-zClimate Dynamicshttps://hdl.handle.net/20.500.12542/481https://hdl.handle.net/20.500.12542/481https://hdl.handle.net/20.500.12542/481https://hdl.handle.net/20.500.12542/481We investigate the possible causes for inter-model spread in tropical zonal-mean precipitation pattern, which is divided into hemispherically symmetric and anti-symmetric modes via empirical orthogonal function analysis. The symmetric pattern characterizes the leading mode and is tightly related to the seasonal amplitude of maximum precipitation position. The energetic constraints link the symmetric pattern to the seasonal amplitude in cross-equatorial atmospheric energy transport AET0 and the annual-mean equatorial net energy input NEI0. Decomposition of AET0 into the energetics variables indicates that the inter-model spread in symmetric precipitation pattern is correlated with the inter-model spread in clear-sky atmospheric shortwave absorption, which most likely arises due to differences in radiative transfer parameterizations rather than water vapor patterns. Among the components that consist NEI0, the inter-model spread in symmetric precipitation pattern is mostly associated with the inter-model spread in net surface energy flux in the equatorial region, which is modulated by the strength of cooling by equatorial upwelling. 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