Hydroclimatological variables in the South America CORDEX domain for the Amazon River Basin

Autores
Builes Jaramillo, Alejandro; Pántano, Vanesa Cristina
Año de publicación
2020
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
Introduction: With 7.0 x 106 km2 the Amazon River basin represents the most important hydrological region in South America. The Amazon discharges approximately 200,000 m3 s-1 becoming the main source of fresh water from the continent to the Atlantic Ocean. Methodology and data: Our aim is to study the representation of precipitation and evapotranspiration of the Regional Climate Model RCA4 v3 driven by the nine Global Climate Models available for the South America domain in CORDEX. For that purpose, we selected as comparison period the verification period of the IPCC model verification, between 1986 and 2006 at a monthly time scale. The performance of the models is compared with two datasets, the one from GPCC for monthly precipitation and the one from GLEAM for monthly evapotranspiration. Results: Accounting for the long term means of the variables in the period of analysis, models underestimate precipitation by 19% and underestimate evapotranspiration by 4%. When analyzed by wet (January) and dry (July) seasons we find that for precipitation there is underestimation during the dry season that can reach up to 70% and underestimation in the order of 60% for the wet season consistently in model CSIRO. In the case of evapotranspiration, the higher underestimations are of approximately 30% in model CSIRO. However, as for the spatial distribution of the RMSE, the northeast of the Amazonpresents the highest errors for evapotranspiration and the north of the Amazon for precipitation. Finally, projections present increase in annual amplitude for both variables under the most severe climate change scenario. Conclusions: With the results so far we can conclude that CORDEX models can be used for assessment of hydroclimatological conditions of the basin taking into account that there is a general underestimation of both variables and that CSIRO is amongst the nine models the one with the lower performance in order to represent the analyzed variables.
Fil: Builes Jaramillo, Alejandro. Institucion Universitaria Colegio Mayor de Antioquia.; Colombia
Fil: Pántano, Vanesa Cristina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Ciencias de la Atmósfera y los Océanos; Argentina
International Conference on Regional Climate
Beijing
China
World Climate Research Programme
Instituto Sueco de Meteorología e Hidrología
Materia
AMAZON RIVER BASIN
SAM-CORDEX
HYDROCLIMATOLOGY
WATER RESOURCES PLANNING
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/161712

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spelling Hydroclimatological variables in the South America CORDEX domain for the Amazon River BasinBuiles Jaramillo, AlejandroPántano, Vanesa CristinaAMAZON RIVER BASINSAM-CORDEXHYDROCLIMATOLOGYWATER RESOURCES PLANNINGhttps://purl.org/becyt/ford/1.5https://purl.org/becyt/ford/1Introduction: With 7.0 x 106 km2 the Amazon River basin represents the most important hydrological region in South America. The Amazon discharges approximately 200,000 m3 s-1 becoming the main source of fresh water from the continent to the Atlantic Ocean. Methodology and data: Our aim is to study the representation of precipitation and evapotranspiration of the Regional Climate Model RCA4 v3 driven by the nine Global Climate Models available for the South America domain in CORDEX. For that purpose, we selected as comparison period the verification period of the IPCC model verification, between 1986 and 2006 at a monthly time scale. The performance of the models is compared with two datasets, the one from GPCC for monthly precipitation and the one from GLEAM for monthly evapotranspiration. Results: Accounting for the long term means of the variables in the period of analysis, models underestimate precipitation by 19% and underestimate evapotranspiration by 4%. When analyzed by wet (January) and dry (July) seasons we find that for precipitation there is underestimation during the dry season that can reach up to 70% and underestimation in the order of 60% for the wet season consistently in model CSIRO. In the case of evapotranspiration, the higher underestimations are of approximately 30% in model CSIRO. However, as for the spatial distribution of the RMSE, the northeast of the Amazonpresents the highest errors for evapotranspiration and the north of the Amazon for precipitation. Finally, projections present increase in annual amplitude for both variables under the most severe climate change scenario. Conclusions: With the results so far we can conclude that CORDEX models can be used for assessment of hydroclimatological conditions of the basin taking into account that there is a general underestimation of both variables and that CSIRO is amongst the nine models the one with the lower performance in order to represent the analyzed variables.Fil: Builes Jaramillo, Alejandro. Institucion Universitaria Colegio Mayor de Antioquia.; ColombiaFil: Pántano, Vanesa Cristina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Ciencias de la Atmósfera y los Océanos; ArgentinaInternational Conference on Regional ClimateBeijingChinaWorld Climate Research ProgrammeInstituto Sueco de Meteorología e HidrologíaWorld Climate Research Programme2020info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjectConferenciaBookhttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdfapplication/vnd.openxmlformats-officedocument.wordprocessingml.documentapplication/pdfhttp://hdl.handle.net/11336/161712Hydroclimatological variables in the South America CORDEX domain for the Amazon River Basin; International Conference on Regional Climate; Beijing; China; 2019; 203-203CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/http://www.icrc-cordex2019.cordex.orgInternacionalinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-10T13:24:47Zoai:ri.conicet.gov.ar:11336/161712instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-10 13:24:47.383CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Hydroclimatological variables in the South America CORDEX domain for the Amazon River Basin
title Hydroclimatological variables in the South America CORDEX domain for the Amazon River Basin
spellingShingle Hydroclimatological variables in the South America CORDEX domain for the Amazon River Basin
Builes Jaramillo, Alejandro
AMAZON RIVER BASIN
SAM-CORDEX
HYDROCLIMATOLOGY
WATER RESOURCES PLANNING
title_short Hydroclimatological variables in the South America CORDEX domain for the Amazon River Basin
title_full Hydroclimatological variables in the South America CORDEX domain for the Amazon River Basin
title_fullStr Hydroclimatological variables in the South America CORDEX domain for the Amazon River Basin
title_full_unstemmed Hydroclimatological variables in the South America CORDEX domain for the Amazon River Basin
title_sort Hydroclimatological variables in the South America CORDEX domain for the Amazon River Basin
dc.creator.none.fl_str_mv Builes Jaramillo, Alejandro
Pántano, Vanesa Cristina
author Builes Jaramillo, Alejandro
author_facet Builes Jaramillo, Alejandro
Pántano, Vanesa Cristina
author_role author
author2 Pántano, Vanesa Cristina
author2_role author
dc.subject.none.fl_str_mv AMAZON RIVER BASIN
SAM-CORDEX
HYDROCLIMATOLOGY
WATER RESOURCES PLANNING
topic AMAZON RIVER BASIN
SAM-CORDEX
HYDROCLIMATOLOGY
WATER RESOURCES PLANNING
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.5
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Introduction: With 7.0 x 106 km2 the Amazon River basin represents the most important hydrological region in South America. The Amazon discharges approximately 200,000 m3 s-1 becoming the main source of fresh water from the continent to the Atlantic Ocean. Methodology and data: Our aim is to study the representation of precipitation and evapotranspiration of the Regional Climate Model RCA4 v3 driven by the nine Global Climate Models available for the South America domain in CORDEX. For that purpose, we selected as comparison period the verification period of the IPCC model verification, between 1986 and 2006 at a monthly time scale. The performance of the models is compared with two datasets, the one from GPCC for monthly precipitation and the one from GLEAM for monthly evapotranspiration. Results: Accounting for the long term means of the variables in the period of analysis, models underestimate precipitation by 19% and underestimate evapotranspiration by 4%. When analyzed by wet (January) and dry (July) seasons we find that for precipitation there is underestimation during the dry season that can reach up to 70% and underestimation in the order of 60% for the wet season consistently in model CSIRO. In the case of evapotranspiration, the higher underestimations are of approximately 30% in model CSIRO. However, as for the spatial distribution of the RMSE, the northeast of the Amazonpresents the highest errors for evapotranspiration and the north of the Amazon for precipitation. Finally, projections present increase in annual amplitude for both variables under the most severe climate change scenario. Conclusions: With the results so far we can conclude that CORDEX models can be used for assessment of hydroclimatological conditions of the basin taking into account that there is a general underestimation of both variables and that CSIRO is amongst the nine models the one with the lower performance in order to represent the analyzed variables.
Fil: Builes Jaramillo, Alejandro. Institucion Universitaria Colegio Mayor de Antioquia.; Colombia
Fil: Pántano, Vanesa Cristina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Ciencias de la Atmósfera y los Océanos; Argentina
International Conference on Regional Climate
Beijing
China
World Climate Research Programme
Instituto Sueco de Meteorología e Hidrología
description Introduction: With 7.0 x 106 km2 the Amazon River basin represents the most important hydrological region in South America. The Amazon discharges approximately 200,000 m3 s-1 becoming the main source of fresh water from the continent to the Atlantic Ocean. Methodology and data: Our aim is to study the representation of precipitation and evapotranspiration of the Regional Climate Model RCA4 v3 driven by the nine Global Climate Models available for the South America domain in CORDEX. For that purpose, we selected as comparison period the verification period of the IPCC model verification, between 1986 and 2006 at a monthly time scale. The performance of the models is compared with two datasets, the one from GPCC for monthly precipitation and the one from GLEAM for monthly evapotranspiration. Results: Accounting for the long term means of the variables in the period of analysis, models underestimate precipitation by 19% and underestimate evapotranspiration by 4%. When analyzed by wet (January) and dry (July) seasons we find that for precipitation there is underestimation during the dry season that can reach up to 70% and underestimation in the order of 60% for the wet season consistently in model CSIRO. In the case of evapotranspiration, the higher underestimations are of approximately 30% in model CSIRO. However, as for the spatial distribution of the RMSE, the northeast of the Amazonpresents the highest errors for evapotranspiration and the north of the Amazon for precipitation. Finally, projections present increase in annual amplitude for both variables under the most severe climate change scenario. Conclusions: With the results so far we can conclude that CORDEX models can be used for assessment of hydroclimatological conditions of the basin taking into account that there is a general underestimation of both variables and that CSIRO is amongst the nine models the one with the lower performance in order to represent the analyzed variables.
publishDate 2020
dc.date.none.fl_str_mv 2020
dc.type.none.fl_str_mv info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/conferenceObject
Conferencia
Book
http://purl.org/coar/resource_type/c_5794
info:ar-repo/semantics/documentoDeConferencia
status_str publishedVersion
format conferenceObject
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/161712
Hydroclimatological variables in the South America CORDEX domain for the Amazon River Basin; International Conference on Regional Climate; Beijing; China; 2019; 203-203
CONICET Digital
CONICET
url http://hdl.handle.net/11336/161712
identifier_str_mv Hydroclimatological variables in the South America CORDEX domain for the Amazon River Basin; International Conference on Regional Climate; Beijing; China; 2019; 203-203
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
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eu_rights_str_mv openAccess
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publisher.none.fl_str_mv World Climate Research Programme
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