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Impacts of swat weather generator statistics from high-resolution datasets on monthly streamflow simulation over Peninsular Spain

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Impacts of swat weather generator statistics from high-resolution datasets on monthly streamflow simulation over Peninsular Spain

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dc.contributor.author Senent-Aparicio, Javier es_ES
dc.contributor.author Jimeno-Sáez, Patricia es_ES
dc.contributor.author López-Ballesteros, Adrián es_ES
dc.contributor.author Ginés Giménez, José es_ES
dc.contributor.author Pérez-Sánchez, Julio es_ES
dc.contributor.author Cecilia-Canales, José María es_ES
dc.contributor.author Srinivasan, Raghavan es_ES
dc.date.accessioned 2022-10-04T18:04:45Z
dc.date.available 2022-10-04T18:04:45Z
dc.date.issued 2021-06 es_ES
dc.identifier.uri http://hdl.handle.net/10251/186988
dc.description.abstract [EN] Study region: Peninsular Spain. Study focus: Weather data are the key drivers of hydrological modelling. However, available weather data can present gaps in data sequences and are often limited in their spatial coverage for use in such hydrological models as the Soil and Water Assessment Tool (SWAT). To overcome this limitation, SWAT includes a weather generator algorithm that can complete this data based on long-term weather statistics. This work presents a newly developed weather statistics dataset for Peninsular Spain (PSWG), calculated from national gridded datasets according to the SWAT model format. PSWG provides a higher resolution that stands as a compelling alternative to the statistics calculated from the Climate Forecast System Reanalysis (CFSR) that are available on the SWAT website. New hydrological insights for the region: The dataset has been evaluated using PSWG and CFSR datasets for different data availability scenarios to reconstruct weather series in three watersheds with contrasting weather climates. Results underscore the superiority of the PSWG dataset in reconstructing missing data for hydrological simulations. This approach provides a strong alternative for SWAT applications in Peninsular Spain and the applied methodology can be replicated in other countries that dispose of high-resolution gridded rainfall and temperature datasets. es_ES
dc.description.sponsorship This research was funded by the Ministry of Science, Innovation and Universities of Spain under grants RTC-2017-6389-5 and RTI2018096384BI00. This work has also received funding from the European Union's Horizon 2020 research and innovation programme within the framework of the project SMARTLAGOON under grant agreement No. 101017861. Adrian Lopez Ballesteros was sponsored by the Ministry of Science, Innovation and Universities of Spain under an FPU grant (FPU17/00923) and Jose M. Cecilia under the Ramon y Cajal Program (Grant No. RYC2018025580I) . The authors would like to acknowledge AEMET for the precipitation and air temperature data provided for this work (AEMET grid dataset can be found at http:// www.aemet.es/es/serviciosclimaticos/cambio_climat) . es_ES
dc.language Inglés es_ES
dc.publisher Elsevier es_ES
dc.relation.ispartof Journal of Hydrology: Regional Studies es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject Weather generator es_ES
dc.subject CFSR es_ES
dc.subject SWAT es_ES
dc.subject Peninsular Spain es_ES
dc.subject.classification ARQUITECTURA Y TECNOLOGIA DE COMPUTADORES es_ES
dc.title Impacts of swat weather generator statistics from high-resolution datasets on monthly streamflow simulation over Peninsular Spain es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1016/j.ejrh.2021.100826 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-096384-B-I00/ES/SOLUCIONES PARA UNA GESTION EFICIENTE DEL TRAFICO VEHICULAR BASADAS EN SISTEMAS Y SERVICIOS EN RED/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MCIU//FPU17%2F00923/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/101017861/EU es_ES
dc.relation.projectID info:eu-repo/grantAgreement/AGENCIA ESTATAL DE INVESTIGACION//RTC-2017-6389-5-AR//PLANIFICACIÓN Y GESTIÓN DE RECURSOS HÍDRICOS A PARTIR DE ANÁLISIS DE DATOS DE IOT/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/AGENCIA ESTATAL DE INVESTIGACION//RYC2018-025580-I//AYUDA ADICIONAL RAMON Y CAJAL/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Informática de Sistemas y Computadores - Departament d'Informàtica de Sistemes i Computadors es_ES
dc.description.bibliographicCitation Senent-Aparicio, J.; Jimeno-Sáez, P.; López-Ballesteros, A.; Ginés Giménez, J.; Pérez-Sánchez, J.; Cecilia-Canales, JM.; Srinivasan, R. (2021). Impacts of swat weather generator statistics from high-resolution datasets on monthly streamflow simulation over Peninsular Spain. Journal of Hydrology: Regional Studies. 35:1-15. https://doi.org/10.1016/j.ejrh.2021.100826 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1016/j.ejrh.2021.100826 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 15 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 35 es_ES
dc.identifier.eissn 2214-5818 es_ES
dc.relation.pasarela S\441502 es_ES
dc.contributor.funder AGENCIA ESTATAL DE INVESTIGACION es_ES
dc.contributor.funder COMISION DE LAS COMUNIDADES EUROPEA es_ES
dc.contributor.funder Ministerio de Ciencia, Innovación y Universidades es_ES
upv.costeAPC 1900 es_ES


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