Characterising droughts in Central America with uncertain hydro-meteorological data

Central America is frequently affected by droughts that cause significant socio-economic and environmental problems. Drought characterisation, monitoring and forecasting are potentially useful to support water resource management. Drought indices are designed for these purposes, but their ability to...

Descripción completa

Detalles Bibliográficos
Autores: Quesada Montano, Beatriz, Wetterhall, Fredrik, Westerberg, Ida K., Hidalgo León, Hugo G., Halldin, Sven
Tipo de recurso: artículo
Fecha de publicación:2018
País:Costa Rica
Institución:Universidad de Costa Rica
Repositorio:Kérwá
Idioma:inglés
OAI Identifier:oai:kerwa.ucr.ac.cr:10669/84924
Acceso en línea:https://link.springer.com/article/10.1007%2Fs00704-018-2730-z
https://hdl.handle.net/10669/84924
Access Level:acceso abierto
Palabra clave:Central America
Drought
Hydrometeorology
id CR_215bbafdaefffe5d48195beb726400a6
oai_identifier_str oai:kerwa.ucr.ac.cr:10669/84924
network_acronym_str CR
network_name_str Costa Rica
repository_id_str
dc.title.es_ES.fl_str_mv Characterising droughts in Central America with uncertain hydro-meteorological data
title Characterising droughts in Central America with uncertain hydro-meteorological data
spellingShingle Characterising droughts in Central America with uncertain hydro-meteorological data
Quesada Montano, Beatriz
Central America
Drought
Hydrometeorology
title_short Characterising droughts in Central America with uncertain hydro-meteorological data
title_full Characterising droughts in Central America with uncertain hydro-meteorological data
title_fullStr Characterising droughts in Central America with uncertain hydro-meteorological data
title_full_unstemmed Characterising droughts in Central America with uncertain hydro-meteorological data
title_sort Characterising droughts in Central America with uncertain hydro-meteorological data
dc.creator.none.fl_str_mv Quesada Montano, Beatriz
Wetterhall, Fredrik
Westerberg, Ida K.
Hidalgo León, Hugo G.
Halldin, Sven
author Quesada Montano, Beatriz
author_facet Quesada Montano, Beatriz
Wetterhall, Fredrik
Westerberg, Ida K.
Hidalgo León, Hugo G.
Halldin, Sven
author_role author
author2 Wetterhall, Fredrik
Westerberg, Ida K.
Hidalgo León, Hugo G.
Halldin, Sven
author2_role author
author
author
author
dc.subject.es_ES.fl_str_mv Central America
Drought
Hydrometeorology
topic Central America
Drought
Hydrometeorology
description Central America is frequently affected by droughts that cause significant socio-economic and environmental problems. Drought characterisation, monitoring and forecasting are potentially useful to support water resource management. Drought indices are designed for these purposes, but their ability to characterise droughts depends on the characteristics of the regional climate and the quality of the available data. Local comprehensive and high-quality observational networks of meteorological and hydrological data are not available, which limits the choice of drought indices and makes it important to assess available datasets. This study evaluated which combinations of drought index and meteorological dataset were most suitable for characterising droughts in the region. We evaluated the standardised precipitation index (SPI), a modified version of the deciles index (DI), the standardised precipitation evapotranspiration index (SPEI) and the effective drought index (EDI). These were calculated using precipitation data from the Climate Hazards Group Infra-Red Precipitation with Station (CHIRPS), the CRN073 dataset, the Climate Research Unit (CRU), ECMWF Reanalysis (ERA-Interim) and a regional station dataset, and temperature from the CRU and ERA-Interim datasets. The gridded meteorological precipitation datasets were compared to assess how well they captured key features of the regional climate. The performance of all the drought indices calculated with all the meteorological datasets was then evaluated against a drought index calculated using river discharge data. Results showed that the selection of database was more important than the selection of drought index and that the best combinations were the EDI and DI calculated with CHIRPS and CRN073. Results also highlighted the importance of including indices like SPEI for drought assessment in Central America.
publishDate 2018
dc.date.issued.none.fl_str_mv 2018
dc.date.accessioned.none.fl_str_mv 2021-10-31T15:48:30Z
dc.date.available.none.fl_str_mv 2021-10-31T15:48:30Z
dc.type.none.fl_str_mv artículo original
http://purl.org/coar/resource_type/c_2df8fbb1
info:eu-repo/semantics/article
format article
dc.identifier.citation.none.fl_str_mv https://link.springer.com/article/10.1007%2Fs00704-018-2730-z
dc.identifier.issn.none.fl_str_mv 1434-4483
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/10669/84924
dc.identifier.doi.none.fl_str_mv 10.1007/s00704-018-2730-z
dc.identifier.codproyecto.none.fl_str_mv 805-B0-810
805-A9-532
805-B3-600
805-B0-065
805-B3-413
805-B4-227
805-B4-228
805-B5-295
url https://link.springer.com/article/10.1007%2Fs00704-018-2730-z
https://hdl.handle.net/10669/84924
identifier_str_mv 1434-4483
10.1007/s00704-018-2730-z
805-B0-810
805-A9-532
805-B3-600
805-B0-065
805-B3-413
805-B4-227
805-B4-228
805-B5-295
dc.language.iso.es_ES.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv acceso abierto
http://purl.org/coar/access_right/c_abf2
info:eu-repo/semantics/openAccess
rights_invalid_str_mv acceso abierto
http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
dc.source.es_ES.fl_str_mv Theoretical and Applied Climatology, vol.137, pp.2125-2138
dc.source.none.fl_str_mv reponame:Kérwá
instname:Universidad de Costa Rica
instacron:UCR
instname_str Universidad de Costa Rica
instacron_str UCR
institution UCR
reponame_str Kérwá
collection Kérwá
bitstream.url.fl_str_mv https://www.kerwa.ucr.ac.cr/bitstreams/f558b0ef-2d75-4864-8738-e3eb935bae63/download
https://www.kerwa.ucr.ac.cr/bitstreams/446a7945-9812-47fd-9939-2275767367f3/download
https://www.kerwa.ucr.ac.cr/bitstreams/313b08a4-56cd-4981-896d-7f204d695a04/download
https://www.kerwa.ucr.ac.cr/bitstreams/b9e8de27-b7b4-4e18-8b12-8c16a8967b27/download
bitstream.checksum.fl_str_mv 2cd2115fd996d30dfb6fd7d6e4e9f302
44ae5839bc6497e3c892c5ee8e4284f1
cc89e777584190a22dbcbdb3b140579f
bc39af694e82feacf1a89f5f1f3651eb
bitstream.checksumAlgorithm.fl_str_mv MD5
MD5
MD5
MD5
repository.name.fl_str_mv Kérwá - Universidad de Costa Rica
repository.mail.fl_str_mv meilyn.garro@ucr.ac.cr
_version_ 1849325530421133312
spelling Quesada Montano, Beatrizf7805420-acae-44c6-8f37-234d83133bbc600Wetterhall, Fredrikc8968f64-afa3-4aa5-bb3b-64273dbaa6faWesterberg, Ida K.87353b80-b904-4fbc-a5df-bd5aa3e78467600Hidalgo León, Hugo G.416e4ac6-79d8-42c8-80c6-9736d1278bbb600Halldin, Sven1bb834c6-f030-4f7b-b253-2509eefbc75d2021-10-31T15:48:30Z2021-10-31T15:48:30Z2018https://link.springer.com/article/10.1007%2Fs00704-018-2730-z1434-4483https://hdl.handle.net/10669/8492410.1007/s00704-018-2730-z805-B0-810805-A9-532805-B3-600805-B0-065805-B3-413805-B4-227805-B4-228805-B5-295Central America is frequently affected by droughts that cause significant socio-economic and environmental problems. Drought characterisation, monitoring and forecasting are potentially useful to support water resource management. Drought indices are designed for these purposes, but their ability to characterise droughts depends on the characteristics of the regional climate and the quality of the available data. Local comprehensive and high-quality observational networks of meteorological and hydrological data are not available, which limits the choice of drought indices and makes it important to assess available datasets. This study evaluated which combinations of drought index and meteorological dataset were most suitable for characterising droughts in the region. We evaluated the standardised precipitation index (SPI), a modified version of the deciles index (DI), the standardised precipitation evapotranspiration index (SPEI) and the effective drought index (EDI). These were calculated using precipitation data from the Climate Hazards Group Infra-Red Precipitation with Station (CHIRPS), the CRN073 dataset, the Climate Research Unit (CRU), ECMWF Reanalysis (ERA-Interim) and a regional station dataset, and temperature from the CRU and ERA-Interim datasets. The gridded meteorological precipitation datasets were compared to assess how well they captured key features of the regional climate. The performance of all the drought indices calculated with all the meteorological datasets was then evaluated against a drought index calculated using river discharge data. Results showed that the selection of database was more important than the selection of drought index and that the best combinations were the EDI and DI calculated with CHIRPS and CRN073. Results also highlighted the importance of including indices like SPEI for drought assessment in Central America.Universidad de Costa Rica/[805-B0-810]/UCR/Costa RicaUniversidad de Costa Rica/[805-A9-532]/UCR/Costa RicaUniversidad de Costa Rica/[805-B3-600]/UCR/Costa RicaUniversidad de Costa Rica/[805-B0-065]/UCR/Costa RicaUniversidad de Costa Rica/[805-B3-413]/UCR/Costa RicaUniversidad de Costa Rica/[805-B4-227]/UCR/Costa RicaUniversidad de Costa Rica/[805-B4-228]/UCR/Costa RicaUniversidad de Costa Rica/[805-B5-295]/UCR/Costa RicaUppsala University/[54100006]//SueciaMarie Curie Intra-European Fellowship/[No.329762]//EuropaUCR::Vicerrectoría de Investigación::Unidades de Investigación::Ciencias Básicas::Centro de Investigaciones Geofísicas (CIGEFI)UCR::Vicerrectoría de Docencia::Ciencias Básicas::Facultad de Ciencias::Escuela de Físicaengacceso abiertohttp://purl.org/coar/access_right/c_abf2info:eu-repo/semantics/openAccessTheoretical and Applied Climatology, vol.137, pp.2125-2138reponame:Kérwáinstname:Universidad de Costa Ricainstacron:UCRCentral AmericaDroughtHydrometeorologyCharacterising droughts in Central America with uncertain hydro-meteorological dataartículo originalhttp://purl.org/coar/resource_type/c_2df8fbb1info:eu-repo/semantics/articleORIGINALCharacterising_droughts_in_Central_America_with_un.pdfCharacterising_droughts_in_Central_America_with_un.pdfVersión finalapplication/pdf2083844https://www.kerwa.ucr.ac.cr/bitstreams/f558b0ef-2d75-4864-8738-e3eb935bae63/download2cd2115fd996d30dfb6fd7d6e4e9f302MD51LICENSElicense.txtlicense.txttext/plain; charset=utf-83585https://www.kerwa.ucr.ac.cr/bitstreams/446a7945-9812-47fd-9939-2275767367f3/download44ae5839bc6497e3c892c5ee8e4284f1MD52THUMBNAILCharacterising_droughts_in_Central_America_with_un.pdf.jpgCharacterising_droughts_in_Central_America_with_un.pdf.jpgIM Thumbnailimage/jpeg6638https://www.kerwa.ucr.ac.cr/bitstreams/313b08a4-56cd-4981-896d-7f204d695a04/downloadcc89e777584190a22dbcbdb3b140579fMD53TEXTCharacterising_droughts_in_Central_America_with_un.pdf.txtCharacterising_droughts_in_Central_America_with_un.pdf.txtExtracted texttext/plain68626https://www.kerwa.ucr.ac.cr/bitstreams/b9e8de27-b7b4-4e18-8b12-8c16a8967b27/downloadbc39af694e82feacf1a89f5f1f3651ebMD5410669/849242024-08-22 05:28:14.286open.accessoai:kerwa.ucr.ac.cr:10669/84924https://www.kerwa.ucr.ac.crInstitucionalhttp://www.kerwa.ucr.ac.crUniversidadhttp://www.ucr.ac.crhttps://kerwa.ucr.ac.cr/oai/requestmeilyn.garro@ucr.ac.crCosta RicaNo aplicaNo aplicaNo aplicaopendoar:18712025-03-29T18:07:00.628Kérwá - Universidad de Costa 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
score 15,81155

Similares en LA Referencia