Colombian climatology in CMIP5/CMIP6 models: Persistent biases and improvements

ABSTRACT : Northern South America is among the regions with the highest vulnerability to climate change. General Circulation Models (GCMs) are among the different tools considered to analyze the impacts of climate change. In particular, GCMs have been proved to provide useful information, although t...

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Autores:
Arias Gómez, Paola Andrea
Ortega Villamizar, Geusep Martin
Villegas Villa, Laura Daniela
Martínez Agudelo, John Alejandro
Tipo de recurso:
Article of investigation
Fecha de publicación:
2021
Institución:
Universidad de Antioquia
Repositorio:
Repositorio UdeA
Idioma:
eng
OAI Identifier:
oai:bibliotecadigital.udea.edu.co:10495/32752
Acceso en línea:
https://hdl.handle.net/10495/32752
https://revistas.udea.edu.co/index.php/ingenieria/article/view/344493
Palabra clave:
Climate change
Cambio climático
Climatología
Climatology
Hidrología
Hydrology
General Circulation Model
Modelos de Circulación General
http://aims.fao.org/aos/agrovoc/c_1666
http://aims.fao.org/aos/agrovoc/c_1671
http://aims.fao.org/aos/agrovoc/c_3731
Rights
openAccess
License
http://creativecommons.org/licenses/by-nc-sa/2.5/co/
id UDEA2_0673a6cf95f29136c465e8a8b7f0a3bd
oai_identifier_str oai:bibliotecadigital.udea.edu.co:10495/32752
network_acronym_str UDEA2
network_name_str Repositorio UdeA
repository_id_str
dc.title.spa.fl_str_mv Colombian climatology in CMIP5/CMIP6 models: Persistent biases and improvements
dc.title.alternative.spa.fl_str_mv La climatología colombiana en modelos CMIP5/CMIP6: sesgos persistentes y mejoras
title Colombian climatology in CMIP5/CMIP6 models: Persistent biases and improvements
spellingShingle Colombian climatology in CMIP5/CMIP6 models: Persistent biases and improvements
Climate change
Cambio climático
Climatología
Climatology
Hidrología
Hydrology
General Circulation Model
Modelos de Circulación General
http://aims.fao.org/aos/agrovoc/c_1666
http://aims.fao.org/aos/agrovoc/c_1671
http://aims.fao.org/aos/agrovoc/c_3731
title_short Colombian climatology in CMIP5/CMIP6 models: Persistent biases and improvements
title_full Colombian climatology in CMIP5/CMIP6 models: Persistent biases and improvements
title_fullStr Colombian climatology in CMIP5/CMIP6 models: Persistent biases and improvements
title_full_unstemmed Colombian climatology in CMIP5/CMIP6 models: Persistent biases and improvements
title_sort Colombian climatology in CMIP5/CMIP6 models: Persistent biases and improvements
dc.creator.fl_str_mv Arias Gómez, Paola Andrea
Ortega Villamizar, Geusep Martin
Villegas Villa, Laura Daniela
Martínez Agudelo, John Alejandro
dc.contributor.author.none.fl_str_mv Arias Gómez, Paola Andrea
Ortega Villamizar, Geusep Martin
Villegas Villa, Laura Daniela
Martínez Agudelo, John Alejandro
dc.subject.agrovoc.none.fl_str_mv Climate change
Cambio climático
Climatología
Climatology
Hidrología
Hydrology
topic Climate change
Cambio climático
Climatología
Climatology
Hidrología
Hydrology
General Circulation Model
Modelos de Circulación General
http://aims.fao.org/aos/agrovoc/c_1666
http://aims.fao.org/aos/agrovoc/c_1671
http://aims.fao.org/aos/agrovoc/c_3731
dc.subject.proposal.spa.fl_str_mv General Circulation Model
Modelos de Circulación General
dc.subject.agrovocuri.none.fl_str_mv http://aims.fao.org/aos/agrovoc/c_1666
http://aims.fao.org/aos/agrovoc/c_1671
http://aims.fao.org/aos/agrovoc/c_3731
description ABSTRACT : Northern South America is among the regions with the highest vulnerability to climate change. General Circulation Models (GCMs) are among the different tools considered to analyze the impacts of climate change. In particular, GCMs have been proved to provide useful information, although they exhibit systematic biases and fail in reproducing regional climate, particularly in terrains with complex topography. This work evaluates the performance of GCMs included in the fifth and sixth phases of the Coupled Model Intercomparison Project (CMIP), representing the annual cycle of precipitation and air surface temperature in Colombia. To evaluate this, we consider different observational and reanalysis datasets, including in situ gauges from the Colombian Meteorological Institute. Our results indicate that although the most recent generation of GCMs (CMIP6) show improvements with respect to the previous generation (CMIP5), they still have systematic biases in representing the Intertropical Convergence Zone and elevation-dependent processes, which highly determine intra-annual precipitation and air surface temperature in Colombia. In addition, CMIP6 models have larger biases in temperature over the Andes than CMIP5. We also analyze climate projections by the end of the 21st century according to the CMIP5/CMIP6 simulations under the highest greenhouse gases emission scenarios. Models show projections toward warmer air surface temperatures and mixed changes of precipitation, with decreases of precipitation over the Orinoco and Colombian Amazon in September-November and increases over the eastern equatorial Pacific during the entire year.
publishDate 2021
dc.date.issued.none.fl_str_mv 2021
dc.date.accessioned.none.fl_str_mv 2022-12-13T14:14:53Z
dc.date.available.none.fl_str_mv 2022-12-13T14:14:53Z
dc.type.spa.fl_str_mv info:eu-repo/semantics/article
dc.type.coarversion.fl_str_mv http://purl.org/coar/version/c_970fb48d4fbd8a85
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dc.type.local.spa.fl_str_mv Artículo de investigación
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dc.identifier.citation.spa.fl_str_mv P. A. Arias, G. Ortega, L. D. Villegas, and J. A. Martínez, “Colombian climatology in CMIP5/CMIP6 models: Persistent biases and improvements”, Rev.Fac.Ing.Univ.Antioquia, no. 100, pp. 75–96, May 2021.
dc.identifier.issn.none.fl_str_mv 0120-6230
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/10495/32752
dc.identifier.doi.none.fl_str_mv 10.17533/udea.redin.20210525
dc.identifier.eissn.none.fl_str_mv 2422-2844
dc.identifier.url.spa.fl_str_mv https://revistas.udea.edu.co/index.php/ingenieria/article/view/344493
identifier_str_mv P. A. Arias, G. Ortega, L. D. Villegas, and J. A. Martínez, “Colombian climatology in CMIP5/CMIP6 models: Persistent biases and improvements”, Rev.Fac.Ing.Univ.Antioquia, no. 100, pp. 75–96, May 2021.
0120-6230
10.17533/udea.redin.20210525
2422-2844
url https://hdl.handle.net/10495/32752
https://revistas.udea.edu.co/index.php/ingenieria/article/view/344493
dc.language.iso.spa.fl_str_mv eng
language eng
dc.relation.ispartofjournalabbrev.spa.fl_str_mv Rev. Fac. Ing. Univ. Antioquia
dc.rights.spa.fl_str_mv info:eu-repo/semantics/openAccess
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eu_rights_str_mv openAccess
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dc.format.extent.spa.fl_str_mv 22
dc.format.mimetype.spa.fl_str_mv application/pdf
dc.publisher.spa.fl_str_mv Universidad de Antioquia, Facultad de Ingeniería
dc.publisher.group.spa.fl_str_mv Grupo de Ingeniería y Gestión Ambiental (GIGA)
dc.publisher.place.spa.fl_str_mv Medellín, Colombia
institution Universidad de Antioquia
bitstream.url.fl_str_mv https://bibliotecadigital.udea.edu.co/bitstream/10495/32752/1/AriasPaola_2021_ColombianClimatologyCMIP5CMIP6.pdf
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spelling Arias Gómez, Paola AndreaOrtega Villamizar, Geusep MartinVillegas Villa, Laura DanielaMartínez Agudelo, John Alejandro2022-12-13T14:14:53Z2022-12-13T14:14:53Z2021P. A. Arias, G. Ortega, L. D. Villegas, and J. A. Martínez, “Colombian climatology in CMIP5/CMIP6 models: Persistent biases and improvements”, Rev.Fac.Ing.Univ.Antioquia, no. 100, pp. 75–96, May 2021.0120-6230https://hdl.handle.net/10495/3275210.17533/udea.redin.202105252422-2844https://revistas.udea.edu.co/index.php/ingenieria/article/view/344493ABSTRACT : Northern South America is among the regions with the highest vulnerability to climate change. General Circulation Models (GCMs) are among the different tools considered to analyze the impacts of climate change. In particular, GCMs have been proved to provide useful information, although they exhibit systematic biases and fail in reproducing regional climate, particularly in terrains with complex topography. This work evaluates the performance of GCMs included in the fifth and sixth phases of the Coupled Model Intercomparison Project (CMIP), representing the annual cycle of precipitation and air surface temperature in Colombia. To evaluate this, we consider different observational and reanalysis datasets, including in situ gauges from the Colombian Meteorological Institute. Our results indicate that although the most recent generation of GCMs (CMIP6) show improvements with respect to the previous generation (CMIP5), they still have systematic biases in representing the Intertropical Convergence Zone and elevation-dependent processes, which highly determine intra-annual precipitation and air surface temperature in Colombia. In addition, CMIP6 models have larger biases in temperature over the Andes than CMIP5. We also analyze climate projections by the end of the 21st century according to the CMIP5/CMIP6 simulations under the highest greenhouse gases emission scenarios. Models show projections toward warmer air surface temperatures and mixed changes of precipitation, with decreases of precipitation over the Orinoco and Colombian Amazon in September-November and increases over the eastern equatorial Pacific during the entire year.RESUMEN : El norte de Suramérica es una de las regiones más vulnerables ante cambio climático. Los Modelos de Circulación General (MCG) son las herramientas más empleadas para identificar los posibles impactos del cambio climático. Los MCG proveen información útil, aunque presentan sesgos sistemáticos, principalmente en zonas de topografía compleja. Se evalúa la habilidad de los modelos de la quinta y sexta fase del Proyecto de Comparación de Modelos Acoplados (CMIP) para representar el ciclo anual de precipitación y temperatura superficial del aire en Colombia. Se consideran diferentes bases de datos, incluyendo estaciones in situ del Instituto de Hidrología, Meteorología y Estudios Ambientales (IDEAM). Los modelos de última generación (CMIP6) mejoran su desempeño con respecto a los modelos de la generación anterior (CMIP5), aunque siguen presentando sesgos sistemáticos como dificultades para representar la Zona de Convergencia Intertropical y procesos que dependen de la elevación, fundamentales para el comportamiento intra-anual de la precipitación y la temperatura en Colombia. Los modelos CMIP6 presentan mayores sesgos simulando la temperatura sobre los Andes Colombianos que los modelos CMIP5. Las proyecciones climáticas para finales del siglo XXI considerando los escenarios de mayores emisiones de gases de efecto invernadero sugieren condiciones futuras más cálidas y cambios mixtos de precipitación en Colombia, con reducciones de precipitación en el Orinoco y el Amazonas Colombiano en septiembre-noviembre, e incrementos en el este del Pacífico ecuatorial durante todo el año.COL000861922application/pdfengUniversidad de Antioquia, Facultad de IngenieríaGrupo de Ingeniería y Gestión Ambiental (GIGA)Medellín, Colombiainfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_2df8fbb1https://purl.org/redcol/resource_type/ARTArtículo de investigaciónhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/2.5/co/http://purl.org/coar/access_right/c_abf2https://creativecommons.org/licenses/by-nc-sa/4.0/Colombian climatology in CMIP5/CMIP6 models: Persistent biases and improvementsLa climatología colombiana en modelos CMIP5/CMIP6: sesgos persistentes y mejorasClimate changeCambio climáticoClimatologíaClimatologyHidrologíaHydrologyGeneral Circulation ModelModelos de Circulación Generalhttp://aims.fao.org/aos/agrovoc/c_1666http://aims.fao.org/aos/agrovoc/c_1671http://aims.fao.org/aos/agrovoc/c_3731Rev. Fac. Ing. Univ. AntioquiaRevista Facultad de Ingeniería Universidad de Antioquia7596100Universidad de Antioquia. Vicerrectoría de investigación. Comité para el Desarrollo de la Investigación - CODIMinisterio de Ciencia Tecnología e Innovación, Mincienciasgrid.412881.6grid.433658.fORIGINALAriasPaola_2021_ColombianClimatologyCMIP5CMIP6.pdfAriasPaola_2021_ColombianClimatologyCMIP5CMIP6.pdfArtículo de investigaciónapplication/pdf3168703https://bibliotecadigital.udea.edu.co/bitstream/10495/32752/1/AriasPaola_2021_ColombianClimatologyCMIP5CMIP6.pdfc966668ca6ff8d109b8cfb7ed6c26432MD51CC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-81051https://bibliotecadigital.udea.edu.co/bitstream/10495/32752/2/license_rdfe2060682c9c70d4d30c83c51448f4eedMD52LICENSElicense.txtlicense.txttext/plain; charset=utf-81748https://bibliotecadigital.udea.edu.co/bitstream/10495/32752/3/license.txt8a4605be74aa9ea9d79846c1fba20a33MD5310495/32752oai:bibliotecadigital.udea.edu.co:10495/327522022-12-13 09:16:57.034Repositorio Institucional Universidad de Antioquiaandres.perez@udea.edu.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