Logo do repositório
 
Publicação

Methodology for Obtaining ETo Data for Climate Change Studies: Quality Analysis and Calibration of the Hargreaves–Samani Equation

2024-12Artigo científico Acesso aberto
Ver registo simples
dc.contributor.authorFerreira, Antónia
dc.contributor.authorCameira, Maria do Rosário
dc.contributor.authorRolim, João
dc.date.accessioned2025-08-14T13:05:40Z
dc.date.available2025-08-14T13:05:40Z
dc.date.issued2024-12
dc.description.abstractReference evapotranspiration (ETo) is an important part of the water cycle, essential for cli- mate studies, water resource management, and agricultural planning. However, accurate estimation of ETo is challenging when meteorological data are insufficient or of low quality. Furthermore, in climate change studies where large amounts of data need to be managed, it is important to minimize the complexity of the ETo calculation. This study presents a comprehensive approach that integrates data quality analysis with two calibration methods—annual and cluster-based—to improve ETo estimates based solely on temperature data from a set of weather stations (WS). First, the quality and integrity of meteorological data from several WS were analyzed to reduce uncertainty. Second, the Hargreaves–Samani equation (HS) is site calibrated using two approaches: (a) annual calibration, where the radiation coefficient (kRs) is adjusted using a data set covering the entire year; (b) cluster- based calibration, where independent radiation coefficients are adjusted for clusters of years and months. The methodology was evaluated for the Alentejo region in Southern Portugal, using data from 1996 to 2023. When using the original HS equation with a kRs = 0.17 ◦C−0.5, ETo was estimated with errors from 14.9% to 22.9% with bias ranging from −9.0% to 8.8%. The annual calibration resulted in kRs values between 0.157 and 0.165 ◦C−0.5 with estimation errors between 13.3% and 20.6% and bias ranging from −1.5% to 1.0% across the different weather stations. Calibration based on clusters of months and years produced unclear results. Dry season months showed better results using cluster-based calibration, while wet season months performed poorly regardless of the calibra- tion approach. The results highlight the importance of meteorological data quality and site-specific calibration for refining temperature-based ETo estimation methods, and for the region studied, the gains do not justify the increased complexity of the cluster-based approach.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationFerreira, A.; Cameira, M.d.R.; Rolim, J. Methodology for Obtaining ETo Data for Climate Change Studies: Quality Analysis and Calibration of the Hargreaves–Samani Equation. Climate 2024, 12, 205. https://doi.org/10.3390/cli12120205pt_PT
dc.identifier.doi10.3390/cli12120205pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.5/102879
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherMDPIpt_PT
dc.relationLaboratory for Sustainable Land Use and Ecosystem Services
dc.relation.publisherversionhttps://www.mdpi.com/journal/climatept_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjecttemperature-based modelspt_PT
dc.subjectradiation coefficientpt_PT
dc.subjectcluster analysispt_PT
dc.subjectK-Meanspt_PT
dc.subjectbias correctionpt_PT
dc.titleMethodology for Obtaining ETo Data for Climate Change Studies: Quality Analysis and Calibration of the Hargreaves–Samani Equationpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleLaboratory for Sustainable Land Use and Ecosystem Services
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/Concurso de avaliação no âmbito do Programa Plurianual de Financiamento de Unidades de I&D (2017%2F2018) - Financiamento Base/UIDB%2F04129%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/LA%2FP%2F0092%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/OE/PRT%2FBD%2F154133%2F2022/PT
oaire.citation.issue12pt_PT
oaire.citation.startPage205pt_PT
oaire.citation.titleClimatept_PT
oaire.citation.volume12pt_PT
oaire.fundingStreamConcurso de avaliação no âmbito do Programa Plurianual de Financiamento de Unidades de I&D (2017/2018) - Financiamento Base
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStreamOE
person.familyNameFORTES DUARTE FERREIRA
person.familyNamedo Rosário da Conceição Cameira
person.familyNameRolim Fernandes Machado Lopes
person.givenNameANTÓNIA
person.givenNameMaria
person.givenNameJoão Rui
person.identifier.ciencia-id5912-C5F4-3ED7
person.identifier.ciencia-idB418-5A61-8B8B
person.identifier.ciencia-idDB10-1A20-7D98
person.identifier.orcid0000-0002-4778-4047
person.identifier.orcid0000-0002-2186-5172
person.identifier.orcid0000-0003-1782-2732
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublicationb791e494-5068-433b-a8f6-0188208e1a1b
relation.isAuthorOfPublicationb0cf5ac6-ba25-4c12-96a6-d85a2f57fa0b
relation.isAuthorOfPublicationf6bba224-7c13-4969-bf4d-e4d4d75e6f2c
relation.isAuthorOfPublication.latestForDiscoveryb0cf5ac6-ba25-4c12-96a6-d85a2f57fa0b
relation.isProjectOfPublicationfcbea772-82ee-489a-8464-df8378d647fe
relation.isProjectOfPublication80b19316-2c6c-47f4-96bf-17136024c99c
relation.isProjectOfPublication86f9252c-2104-488c-99a5-eb8dd4bd70af
relation.isProjectOfPublication.latestForDiscovery86f9252c-2104-488c-99a5-eb8dd4bd70af

Ficheiros

Principais
A mostrar 1 - 1 de 1
Miniatura
Nome:
climate-12-00205.pdf
Tamanho:
7.22 MB
Formato:
Adobe Portable Document Format
Ver/Abrir
Licença
A mostrar 1 - 1 de 1
Miniatura indisponível
Nome:
license.txt
Tamanho:
1.2 KB
Formato:
Item-specific license agreed upon to submission
Descrição:
Ver/Abrir

Coleções

ISA - Artigos em Revistas Internacionais