Using CHIRPS Dataset to Assess Wet and Dry Conditions along the Semiarid Central-Western Argentina

The Climate Hazards group Infrared Precipitation with Stations (CHIRPS) dataset was conceived as a tool for monitoring drought and environmental change over land. Recent validation efforts along South America have assessed its suitability for reproducing the main spatial and temporal features of pre...

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Detalles Bibliográficos
Autores: Rivera, Juan Antonio, Hinrichs, Sofía Marcela, Marianetti, Georgina
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2019
País:Argentina
Institución:Consejo Nacional de Investigaciones Científicas y Técnicas
Repositorio:CONICET Digital (CONICET)
Idioma:inglés
OAI Identifier:oai:ri.conicet.gov.ar:11336/126613
Acceso en línea:http://hdl.handle.net/11336/126613
Access Level:acceso abierto
Palabra clave:CHIRPS
CENTRAL-WESTERN ARGENTINA
DROUGHTS
STANDARDIZED PRECIPITATION INDEX
https://purl.org/becyt/ford/1.5
https://purl.org/becyt/ford/1
id AR_fc2e3edfef0e9831f9652ff7d2b05964
oai_identifier_str oai:ri.conicet.gov.ar:11336/126613
network_acronym_str AR
network_name_str Argentina
repository_id_str
dc.title.none.fl_str_mv Using CHIRPS Dataset to Assess Wet and Dry Conditions along the Semiarid Central-Western Argentina
title Using CHIRPS Dataset to Assess Wet and Dry Conditions along the Semiarid Central-Western Argentina
spellingShingle Using CHIRPS Dataset to Assess Wet and Dry Conditions along the Semiarid Central-Western Argentina
Rivera, Juan Antonio
CHIRPS
CENTRAL-WESTERN ARGENTINA
DROUGHTS
STANDARDIZED PRECIPITATION INDEX
https://purl.org/becyt/ford/1.5
https://purl.org/becyt/ford/1
https://purl.org/becyt/ford/1.5
https://purl.org/becyt/ford/1
https://purl.org/becyt/ford/1.5
https://purl.org/becyt/ford/1
title_short Using CHIRPS Dataset to Assess Wet and Dry Conditions along the Semiarid Central-Western Argentina
title_full Using CHIRPS Dataset to Assess Wet and Dry Conditions along the Semiarid Central-Western Argentina
title_fullStr Using CHIRPS Dataset to Assess Wet and Dry Conditions along the Semiarid Central-Western Argentina
title_full_unstemmed Using CHIRPS Dataset to Assess Wet and Dry Conditions along the Semiarid Central-Western Argentina
title_sort Using CHIRPS Dataset to Assess Wet and Dry Conditions along the Semiarid Central-Western Argentina
dc.creator.none.fl_str_mv Rivera, Juan Antonio
Hinrichs, Sofía Marcela
Marianetti, Georgina
author Rivera, Juan Antonio
author_facet Rivera, Juan Antonio
Hinrichs, Sofía Marcela
Marianetti, Georgina
author_role author
author2 Hinrichs, Sofía Marcela
Marianetti, Georgina
author2_role author
author
dc.subject.none.fl_str_mv CHIRPS
CENTRAL-WESTERN ARGENTINA
DROUGHTS
STANDARDIZED PRECIPITATION INDEX
https://purl.org/becyt/ford/1.5
https://purl.org/becyt/ford/1
https://purl.org/becyt/ford/1.5
https://purl.org/becyt/ford/1
https://purl.org/becyt/ford/1.5
https://purl.org/becyt/ford/1
topic CHIRPS
CENTRAL-WESTERN ARGENTINA
DROUGHTS
STANDARDIZED PRECIPITATION INDEX
https://purl.org/becyt/ford/1.5
https://purl.org/becyt/ford/1
https://purl.org/becyt/ford/1.5
https://purl.org/becyt/ford/1
https://purl.org/becyt/ford/1.5
https://purl.org/becyt/ford/1
description The Climate Hazards group Infrared Precipitation with Stations (CHIRPS) dataset was conceived as a tool for monitoring drought and environmental change over land. Recent validation efforts along South America have assessed its suitability for reproducing the main spatial and temporal features of precipitation. Nevertheless, little has been done regarding the ability of CHIRPS for the assessment of wet and dry conditions, particularly in areas where in situ precipitation records are scarce. In this paper, we investigated the performance of CHIRPS for monitoring wet and dry events along the semiarid Central-Western Argentina. Using the Standardized Precipitation Index (SPI), we compared the CHIRPS database with records from 49 meteorological stations along the study area for the period 1987-2016. Results indicate that the CHIRPS dataset adequately reproduced the temporal variability of SPI on multiple timescales (1 month, 3 months, and 6 months), particularly in the region dominated by warm season precipitation. The large overestimation of the seasonal precipitation in the region dominated by cold season precipitation can introduce errors that are reflected in the performance of CHIRPS over the western portion of the domain. The frequency of wet and dry classes was accurately reproduced by CHIRPS on timescales larger than 1 month (SPI1), given the existence of a wet bias that produces an underestimation of the frequency of zero values. This bias is further translated to the evaluation of the SPI1 during the spatial and temporal assessment of historical dry (1998) and wet (2016) events, especially for the classification of extreme dry/wet months. The results from the evaluation indicate that CHIRPS is a suitable tool for assessing dry and wet conditions for timescales longer than 1 month and can support decision-making process within the hydrometeorological agencies over the region.
publishDate 2019
dc.date.none.fl_str_mv 2019-04
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/126613
Rivera, Juan Antonio; Hinrichs, Sofía Marcela; Marianetti, Georgina; Using CHIRPS Dataset to Assess Wet and Dry Conditions along the Semiarid Central-Western Argentina; Hindawi Publishing Corporation; Advances in Meteorology; 2019; 4-2019; 1-18
1687-9309
1687-9317
CONICET Digital
CONICET
url http://hdl.handle.net/11336/126613
identifier_str_mv Rivera, Juan Antonio; Hinrichs, Sofía Marcela; Marianetti, Georgina; Using CHIRPS Dataset to Assess Wet and Dry Conditions along the Semiarid Central-Western Argentina; Hindawi Publishing Corporation; Advances in Meteorology; 2019; 4-2019; 1-18
1687-9309
1687-9317
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://www.hindawi.com/journals/amete/2019/8413964/
info:eu-repo/semantics/altIdentifier/doi/10.1155/2019/8413964
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Hindawi Publishing Corporation
publisher.none.fl_str_mv Hindawi Publishing Corporation
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
_version_ 1799196096231112704
spelling Using CHIRPS Dataset to Assess Wet and Dry Conditions along the Semiarid Central-Western ArgentinaRivera, Juan AntonioHinrichs, Sofía MarcelaMarianetti, GeorginaCHIRPSCENTRAL-WESTERN ARGENTINADROUGHTSSTANDARDIZED PRECIPITATION INDEXhttps://purl.org/becyt/ford/1.5https://purl.org/becyt/ford/1https://purl.org/becyt/ford/1.5https://purl.org/becyt/ford/1https://purl.org/becyt/ford/1.5https://purl.org/becyt/ford/1The Climate Hazards group Infrared Precipitation with Stations (CHIRPS) dataset was conceived as a tool for monitoring drought and environmental change over land. Recent validation efforts along South America have assessed its suitability for reproducing the main spatial and temporal features of precipitation. Nevertheless, little has been done regarding the ability of CHIRPS for the assessment of wet and dry conditions, particularly in areas where in situ precipitation records are scarce. In this paper, we investigated the performance of CHIRPS for monitoring wet and dry events along the semiarid Central-Western Argentina. Using the Standardized Precipitation Index (SPI), we compared the CHIRPS database with records from 49 meteorological stations along the study area for the period 1987-2016. Results indicate that the CHIRPS dataset adequately reproduced the temporal variability of SPI on multiple timescales (1 month, 3 months, and 6 months), particularly in the region dominated by warm season precipitation. The large overestimation of the seasonal precipitation in the region dominated by cold season precipitation can introduce errors that are reflected in the performance of CHIRPS over the western portion of the domain. The frequency of wet and dry classes was accurately reproduced by CHIRPS on timescales larger than 1 month (SPI1), given the existence of a wet bias that produces an underestimation of the frequency of zero values. This bias is further translated to the evaluation of the SPI1 during the spatial and temporal assessment of historical dry (1998) and wet (2016) events, especially for the classification of extreme dry/wet months. The results from the evaluation indicate that CHIRPS is a suitable tool for assessing dry and wet conditions for timescales longer than 1 month and can support decision-making process within the hydrometeorological agencies over the region.Fil: Rivera, Juan Antonio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza. Instituto Argentino de Nivología, Glaciología y Ciencias Ambientales. Provincia de Mendoza. Instituto Argentino de Nivología, Glaciología y Ciencias Ambientales. Universidad Nacional de Cuyo. Instituto Argentino de Nivología, Glaciología y Ciencias Ambientales; Argentina. Universidad "Juan Agustín Maza"; ArgentinaFil: Hinrichs, Sofía Marcela. Universidad "Juan Agustín Maza"; ArgentinaFil: Marianetti, Georgina. Universidad "Juan Agustín Maza"; ArgentinaHindawi Publishing Corporation2019-04info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/126613Rivera, Juan Antonio; Hinrichs, Sofía Marcela; Marianetti, Georgina; Using CHIRPS Dataset to Assess Wet and Dry Conditions along the Semiarid Central-Western Argentina; Hindawi Publishing Corporation; Advances in Meteorology; 2019; 4-2019; 1-181687-93091687-9317CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.hindawi.com/journals/amete/2019/8413964/info:eu-repo/semantics/altIdentifier/doi/10.1155/2019/8413964info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2024-05-08T14:14:39Zoai:ri.conicet.gov.ar:11336/126613instacron: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:34982024-05-08 14:14:39.736CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
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