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dc.contributor.author
Bugan, Richard  
dc.contributor.author
García, César Luis  
dc.contributor.author
Jovanovic, Nebo  
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Teich, Ingrid  
dc.contributor.author
Fink, Manfred  
dc.contributor.author
Dzikiti, Sebinasi  
dc.date.available
2021-08-24T19:17:48Z  
dc.date.issued
2020-04  
dc.identifier.citation
Bugan, Richard; García, César Luis; Jovanovic, Nebo; Teich, Ingrid; Fink, Manfred; et al.; Estimating evapotranspiration in a semi-arid catchment: A comparison of hydrological modelling and remote-sensing approaches; Water Research Commission; Water S.A.; 46; 2; 4-2020; 158-170  
dc.identifier.issn
0378-4738  
dc.identifier.uri
http://hdl.handle.net/11336/138811  
dc.description.abstract
Reliable spatial data of evapotranspiration (ET) in support of water resources management are limited. ET is a major component of the water balance, in many regions, and therefore it is critical that it be accurately quantified. To identify a product that accurately estimates spatially distributed ET for application in data-scarce regions, an inter-model comparison was conducted between the MOD16 ET dataset and the ET calculated with the calibrated and validated JAMS/J2000 hydrological model in the Sandspruit catchment (South Africa). Annual JAMS-ET and MOD16-ET data were generally consistent. Monthly JAMS-ET and MOD16-ET dynamics are influenced by the response of vegetation to precipitation as well as the atmospheric evaporative demand. The maximum correlation coefficient between JAMS-ET and MOD16-ET was 0.82 and it was evident at Lag 0, showing that both ET estimates are in phase when evaluated at the basin scale. The maximum correlation coefficients between the ET estimators and precipitation were 0.67 and 0.70 for JAMS-ET and MOD16-ET, respectively, and this was evident at Lag 2 (1 lag is 1 month) for both methods. This suggests that there is a 2-month delay in the maximum response of ET to precipitation. The models did not exhibit significant dependence on the seasonal distribution of precipitation. The complementary use of hydrological modelling and satellite-derived data may be greatly advantageous to water resources management, e.g., water allocation studies, ecological reserve determinations and vegetation water use studies. The results of the inter-model comparison also provide motivation for the use of the MOD16 ET dataset to estimate ET in data-scarce regions. Additionally, this study provides evidence for the potential use of validated satellite-based ET data as inputs in hydrological models. This may facilitate a more realistic representation of the catchment hydrological processes.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Water Research Commission  
dc.rights
info:eu-repo/semantics/openAccess  
dc.rights.uri
https://creativecommons.org/licenses/by/2.5/ar/  
dc.subject
EVAPOTRANSPIRATION  
dc.subject
HYDROLOGICAL MODELLING  
dc.subject
J2000  
dc.subject
MOD16-ET  
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REMOTE SENSING  
dc.subject.classification
Sensores Remotos  
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Ingeniería del Medio Ambiente  
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INGENIERÍAS Y TECNOLOGÍAS  
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Oceanografía, Hidrología, Recursos Hídricos  
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Ciencias de la Tierra y relacionadas con el Medio Ambiente  
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CIENCIAS NATURALES Y EXACTAS  
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Ciencias de la Información y Bioinformática  
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Ciencias de la Computación e Información  
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CIENCIAS NATURALES Y EXACTAS  
dc.title
Estimating evapotranspiration in a semi-arid catchment: A comparison of hydrological modelling and remote-sensing approaches  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2021-08-13T16:19:01Z  
dc.identifier.eissn
1816-7950  
dc.journal.volume
46  
dc.journal.number
2  
dc.journal.pagination
158-170  
dc.journal.pais
Sudáfrica  
dc.journal.ciudad
Petoria  
dc.description.fil
Fil: Bugan, Richard. Council for Scientific and Industrial Research. Natural Resources and Environment; Sudáfrica  
dc.description.fil
Fil: García, César Luis. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro de Investigación y Desarrollo en Inmunología y Enfermedades Infecciosas. Universidad Católica de Córdoba. Centro de Investigación y Desarrollo en Inmunología y Enfermedades Infecciosas; Argentina  
dc.description.fil
Fil: Jovanovic, Nebo. Council for Scientific and Industrial Research. Natural Resources and Environment; Sudáfrica  
dc.description.fil
Fil: Teich, Ingrid. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigaciones Agropecuarias. Instituto de Fisiología y Recursos Genéticos Vegetales; Argentina  
dc.description.fil
Fil: Fink, Manfred. Universitat Jena; Alemania  
dc.description.fil
Fil: Dzikiti, Sebinasi. Council for Scientific and Industrial Research. Natural Resources and Environment; Sudáfrica  
dc.journal.title
Water S.A.  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.watersa.net/article/view/8231  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/https://doi.org/10.17159/wsa/2020.v46.i2.8231