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Calibration of a parsimonious distributed ecohydrological daily model in a data scarce basin using exclusively the spatio-temporal variation of NDVI

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Calibration of a parsimonious distributed ecohydrological daily model in a data scarce basin using exclusively the spatio-temporal variation of NDVI

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dc.contributor.author Ruiz Perez, Guiomar es_ES
dc.contributor.author Koch, Julian es_ES
dc.contributor.author Manfreda, Salvatore es_ES
dc.contributor.author Caylor, Kelly K. es_ES
dc.contributor.author Francés, F. es_ES
dc.date.accessioned 2020-04-17T12:49:35Z
dc.date.available 2020-04-17T12:49:35Z
dc.date.issued 2016 es_ES
dc.identifier.issn 1812-2108 es_ES
dc.identifier.uri http://hdl.handle.net/10251/140887
dc.description.abstract [EN] Ecohydrological modeling studies in developing countries, such as sub-Saharan Africa, often face the problem of extensive parametrical requirements and limited available data. Satellite remote sensing data may be able to fill this gap, but require novel methodologies to exploit their spatiotemporal information that could potentially be incorporated into model calibration and validation frameworks. The present study tackles this problem by suggesting an automatic calibration procedure, based on the empirical orthogonal function, for distributed ecohydrological daily models. The procedure is tested with the support of remote sensing data in a data-scarce environment-the upper Ewaso Ngiro river basin in Kenya. In the present application, the TETIS-VEG model is calibrated using only NDVI (Normalized Difference Vegetation Index) data derived from MODIS. The results demonstrate that (1) satellite data of vegetation dynamics can be used to calibrate and validate ecohydrological models in water-controlled and datascarce regions, (2) the model calibrated using only satellite data is able to reproduce both the spatio-temporal vegetation dynamics and the observed discharge at the outlet and (3) the proposed automatic calibration methodology works satisfactorily and it allows for a straightforward incorporation of spatio-temporal data into the calibration and validation framework of a model. es_ES
dc.description.sponsorship The research leading to these results has received funding from the Spanish Ministry of Economy and Competitiveness and FEDER funds, through the research projects ECOTETIS (CGL2011-28776-C02-014) and TETISMED (CGL2014-58127-C3-3-R). The collaboration between Universitat Politècnica de València, Università degli studi della Basilicata and Princeton University was funded by the Spanish Ministry of Economy and Competitiveness through the EEBB-I-15-10262 fellowship. The MODIS data were obtained through the online Data Pool at the NASA Land Processes Distributed Active Archive Center (LP DAAC), USGS/Earth Resources Observation and Science (EROS) Center, Sioux Falls, South Dakota (https://lpdaac.usgs.gov/get_data). es_ES
dc.language Inglés es_ES
dc.publisher Copernicus Publications es_ES
dc.relation MINECO/EEBB-I-15-10262 es_ES
dc.relation MINISTERIO DE ECONOMIA INDUSTRIA Y COMPETITIVIDAD /CGL2011-28776-C02-01 es_ES
dc.relation 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.ispartof Hydrology and Earth System Sciences Discussions es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject.classification INGENIERIA HIDRAULICA es_ES
dc.title Calibration of a parsimonious distributed ecohydrological daily model in a data scarce basin using exclusively the spatio-temporal variation of NDVI es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.5194/hess-2016-573 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.description.bibliographicCitation Ruiz Perez, G.; Koch, J.; Manfreda, S.; Caylor, KK.; Francés, F. (2016). Calibration of a parsimonious distributed ecohydrological daily model in a data scarce basin using exclusively the spatio-temporal variation of NDVI. Hydrology and Earth System Sciences Discussions. 21(12):1-33. https://doi.org/10.5194/hess-2016-573 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.5194/hess-2016-573 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 33 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 21 es_ES
dc.description.issue 12 es_ES
dc.relation.pasarela S\334186 es_ES
dc.contributor.funder Ministerio de Economía y Competitividad es_ES
dc.contributor.funder Ministerio de Economía, Industria y Competitividad es_ES


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