Estimation of daily reference evapotranspiration from NASA POWER reanalysis products in a hot summer Mediterranean climate
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10400.5/22499 |
Resumo: | This study aims at assessing the accuracy of estimating daily reference evapotranspiration (ETo) computed with NASA POWER reanalysis products. Daily ETo estimated from local observations of weather variables in 14 weather stations distributed across Alentejo Region, Southern Portugal were compared with ETo derived from NASA POWER weather data, using raw and biascorrected datasets. Three different methods were used to compute ETo: (a) FAO Penman-Monteith (PM); (b) Hargreaves-Samani (HS); and (c) MaxTET. Results show that, when using raw NASA POWER datasets, a good accuracy between the observed ETo and reanalysis ETo was observed in most locations (R2 > 0.70). PM shows a tendency to over-estimating ETo with an RMSE as high as 1.41 mm d-1, while using a temperature-based ET estimation method, an RMSE lower than 0.92 mm d-1 is obtained. If a local bias correction is adopted, the temperature-based methods show a small over or underestimation of ETo (–0.40 mm d-1 MBE < 0.40 mm d-1). As for PM, ETo is still underestimated for 13 locations (MBE < 0 mm d-1) but with an RMSE never higher than 0.77 mm d-1. When NASA POWER raw data is used to estimate ETo, HS_Rs proved the most accurate method, providing the lowest RMSE for half the locations. However, if a data regional bias correction is used, PM leads to the most accurate ETo estimation for half the locations; also, when a local bias correction is performed, PM proved the be the most accurate ETo estimation method for most locations. Nonetheless, MaxTET proved to be an accurate method; its simplicity may prove to be successful not only when only maximum temperature data is available but also due to the low data required for ETo estimation |
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Estimation of daily reference evapotranspiration from NASA POWER reanalysis products in a hot summer Mediterranean climatereference evapotranspirationNASA POWERreanalysis datasethot summer Mediterranean climatebias correctionThis study aims at assessing the accuracy of estimating daily reference evapotranspiration (ETo) computed with NASA POWER reanalysis products. Daily ETo estimated from local observations of weather variables in 14 weather stations distributed across Alentejo Region, Southern Portugal were compared with ETo derived from NASA POWER weather data, using raw and biascorrected datasets. Three different methods were used to compute ETo: (a) FAO Penman-Monteith (PM); (b) Hargreaves-Samani (HS); and (c) MaxTET. Results show that, when using raw NASA POWER datasets, a good accuracy between the observed ETo and reanalysis ETo was observed in most locations (R2 > 0.70). PM shows a tendency to over-estimating ETo with an RMSE as high as 1.41 mm d-1, while using a temperature-based ET estimation method, an RMSE lower than 0.92 mm d-1 is obtained. If a local bias correction is adopted, the temperature-based methods show a small over or underestimation of ETo (–0.40 mm d-1 MBE < 0.40 mm d-1). As for PM, ETo is still underestimated for 13 locations (MBE < 0 mm d-1) but with an RMSE never higher than 0.77 mm d-1. When NASA POWER raw data is used to estimate ETo, HS_Rs proved the most accurate method, providing the lowest RMSE for half the locations. However, if a data regional bias correction is used, PM leads to the most accurate ETo estimation for half the locations; also, when a local bias correction is performed, PM proved the be the most accurate ETo estimation method for most locations. Nonetheless, MaxTET proved to be an accurate method; its simplicity may prove to be successful not only when only maximum temperature data is available but also due to the low data required for ETo estimationMDPIRepositório da Universidade de LisboaRodrigues, Gonçalo C.Braga, Ricardo2021-11-04T14:11:48Z20212021-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.5/22499engRodrigues, G.C.; Braga, R.P. Estimation of Daily Reference Evapotranspiration from NASA POWER Reanalysis Products in a Hot Summer Mediterranean Climate. Agronomy 2021, 11, 2077https:// doi.org/10.3390/agronomy11102077info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-03-06T14:52:01Zoai:www.repository.utl.pt:10400.5/22499Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T17:06:54.638600Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Estimation of daily reference evapotranspiration from NASA POWER reanalysis products in a hot summer Mediterranean climate |
title |
Estimation of daily reference evapotranspiration from NASA POWER reanalysis products in a hot summer Mediterranean climate |
spellingShingle |
Estimation of daily reference evapotranspiration from NASA POWER reanalysis products in a hot summer Mediterranean climate Rodrigues, Gonçalo C. reference evapotranspiration NASA POWER reanalysis dataset hot summer Mediterranean climate bias correction |
title_short |
Estimation of daily reference evapotranspiration from NASA POWER reanalysis products in a hot summer Mediterranean climate |
title_full |
Estimation of daily reference evapotranspiration from NASA POWER reanalysis products in a hot summer Mediterranean climate |
title_fullStr |
Estimation of daily reference evapotranspiration from NASA POWER reanalysis products in a hot summer Mediterranean climate |
title_full_unstemmed |
Estimation of daily reference evapotranspiration from NASA POWER reanalysis products in a hot summer Mediterranean climate |
title_sort |
Estimation of daily reference evapotranspiration from NASA POWER reanalysis products in a hot summer Mediterranean climate |
author |
Rodrigues, Gonçalo C. |
author_facet |
Rodrigues, Gonçalo C. Braga, Ricardo |
author_role |
author |
author2 |
Braga, Ricardo |
author2_role |
author |
dc.contributor.none.fl_str_mv |
Repositório da Universidade de Lisboa |
dc.contributor.author.fl_str_mv |
Rodrigues, Gonçalo C. Braga, Ricardo |
dc.subject.por.fl_str_mv |
reference evapotranspiration NASA POWER reanalysis dataset hot summer Mediterranean climate bias correction |
topic |
reference evapotranspiration NASA POWER reanalysis dataset hot summer Mediterranean climate bias correction |
description |
This study aims at assessing the accuracy of estimating daily reference evapotranspiration (ETo) computed with NASA POWER reanalysis products. Daily ETo estimated from local observations of weather variables in 14 weather stations distributed across Alentejo Region, Southern Portugal were compared with ETo derived from NASA POWER weather data, using raw and biascorrected datasets. Three different methods were used to compute ETo: (a) FAO Penman-Monteith (PM); (b) Hargreaves-Samani (HS); and (c) MaxTET. Results show that, when using raw NASA POWER datasets, a good accuracy between the observed ETo and reanalysis ETo was observed in most locations (R2 > 0.70). PM shows a tendency to over-estimating ETo with an RMSE as high as 1.41 mm d-1, while using a temperature-based ET estimation method, an RMSE lower than 0.92 mm d-1 is obtained. If a local bias correction is adopted, the temperature-based methods show a small over or underestimation of ETo (–0.40 mm d-1 MBE < 0.40 mm d-1). As for PM, ETo is still underestimated for 13 locations (MBE < 0 mm d-1) but with an RMSE never higher than 0.77 mm d-1. When NASA POWER raw data is used to estimate ETo, HS_Rs proved the most accurate method, providing the lowest RMSE for half the locations. However, if a data regional bias correction is used, PM leads to the most accurate ETo estimation for half the locations; also, when a local bias correction is performed, PM proved the be the most accurate ETo estimation method for most locations. Nonetheless, MaxTET proved to be an accurate method; its simplicity may prove to be successful not only when only maximum temperature data is available but also due to the low data required for ETo estimation |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-11-04T14:11:48Z 2021 2021-01-01T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10400.5/22499 |
url |
http://hdl.handle.net/10400.5/22499 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Rodrigues, G.C.; Braga, R.P. Estimation of Daily Reference Evapotranspiration from NASA POWER Reanalysis Products in a Hot Summer Mediterranean Climate. Agronomy 2021, 11, 2077 https:// doi.org/10.3390/agronomy11102077 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
MDPI |
publisher.none.fl_str_mv |
MDPI |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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1799131162074939392 |