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Assessment of Remotely Sensed Near-Surface Soil Moisture for Distributed Eco-Hydrological Model Implementation

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Assessment of Remotely Sensed Near-Surface Soil Moisture for Distributed Eco-Hydrological Model Implementation

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dc.contributor.author Echeverria, Carlos es_ES
dc.contributor.author Ruiz Perez, Guiomar es_ES
dc.contributor.author Puertes-Castellano, Cristina es_ES
dc.contributor.author Samaniego. L. es_ES
dc.contributor.author Barrett, B. es_ES
dc.contributor.author Francés, F. es_ES
dc.date.accessioned 2020-04-08T05:58:46Z
dc.date.available 2020-04-08T05:58:46Z
dc.date.issued 2019-12 es_ES
dc.identifier.issn 2073-4441 es_ES
dc.identifier.uri http://hdl.handle.net/10251/140501
dc.description.abstract [EN] The aim of this study was to implement an eco-hydrological distributed model using only remotely sensed information (soil moisture and leaf area index) during the calibration phase. Four soil moisture-based metrics were assessed, and the best alternative was chosen, which was a metric based on the similarity between the principal components that explained at least 95% of the soil moisture variation and the Nash-Sutcliffe Efficiency (NSE) index between simulated and observed surface soil moisture. The selected alternative was compared with a streamflow-based calibration approach. The results showed that the streamflow-based calibration approach, even presenting satisfactory results in the calibration period (NSE = 0.91), performed poorly in the validation period (NSE = 0.47) and Leaf Area Index (LAI) and soil moisture were neither sensitive to the spatio-temporal pattern nor to the spatial correlation in both calibration and validation periods. Hence, the selected soil moisture-based approach showed an acceptable performance in terms of discharges, presenting a negligible decrease in the validation period (Delta NSE = 0.1) and greater sensitivity to the spatio-temporal variables' spatial representation. es_ES
dc.description.sponsorship The study was supported by the Spanish projects TETIS-MED (CGL2014-58127-C3-3-R) and TETIS-CHANGE (RTI2018-093717-B-100), the European project iAqueduct and the Paraguayan Funding Program BECAL. es_ES
dc.language Inglés es_ES
dc.publisher MDPI AG es_ES
dc.relation.ispartof Water es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject Eco-hydrological modelling es_ES
dc.subject Remotely sensed soil moisture es_ES
dc.subject Objective-function es_ES
dc.subject Spatial correlation es_ES
dc.subject.classification INGENIERIA HIDRAULICA es_ES
dc.title Assessment of Remotely Sensed Near-Surface Soil Moisture for Distributed Eco-Hydrological Model Implementation es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.3390/w11122613 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MINECO//CGL2014-58127-C3-3-R/ES/MEJORAS BIOGEOQUIMICAS EN EL MODELO TETIS Y SU EXPLOTACION EN EL ANALISIS DEL IMPACTO DEL CAMBIO GLOBAL EN LOS CICLOS DEL AGUA, CALIDAD Y SEDIMENTOS EN CUENCAS MEDITERRANEAS/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-093717-B-I00/ES/MEJORAS DEL CONOCIMIENTO Y DE LAS CAPACIDADES DE MODELIZACION PARA LA PROGNOSIS DE LOS EFECTOS DEL CAMBIO GLOBAL EN UNA CUENCA HIDROLOGICA/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Ingeniería Hidráulica y Medio Ambiente - Departament d'Enginyeria Hidràulica i Medi Ambient es_ES
dc.contributor.affiliation Universitat Politècnica de València. Instituto Universitario de Ingeniería del Agua y del Medio Ambiente - Institut Universitari d'Enginyeria de l'Aigua i Medi Ambient es_ES
dc.description.bibliographicCitation Echeverria, C.; Ruiz Perez, G.; Puertes-Castellano, C.; Samaniego. L.; Barrett, B.; Francés, F. (2019). Assessment of Remotely Sensed Near-Surface Soil Moisture for Distributed Eco-Hydrological Model Implementation. Water. 11(12):1-19. https://doi.org/10.3390/w11122613 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.3390/w11122613 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 19 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 11 es_ES
dc.description.issue 12 es_ES
dc.relation.pasarela S\398945 es_ES
dc.contributor.funder Agencia Estatal de Investigación es_ES
dc.contributor.funder Ministerio de Economía y Empresa es_ES
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