Evaluation of Sentinel-1, SMAP and SMOS surface soil moisture products for distributed eco-hydrological modelling in Mediterranean forest basins

[EN] Reliable distributed hydrological modeling, especially in semi-arid areas, must consider the inclusion of surface soil moisture (SSM) spatial information during the calibration process. This variable plays a key role in the evapotranspiration processes that determine the hydrological cycle. The...

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Detalles Bibliográficos
Autores: Gomis-Cebolla, José, Garcia-Arias, Alicia, Perpinyà-Vallès, Martí, Francés, F.|||0000-0003-1173-4969
Tipo de recurso: artículo
Fecha de publicación:2022
País:España
Institución:Universitat Politècnica de València (UPV)
Repositorio:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
Idioma:inglés
OAI Identifier:oai:riunet.upv.es:10251/193637
Acceso en línea:https://riunet.upv.es/handle/10251/193637
Access Level:acceso abierto
Palabra clave:Surface soil moisture
Remote sensing
Spatial patterns
Eco-hydrological modelling
Multi-variable calibration
INGENIERIA HIDRAULICA
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oai_identifier_str oai:riunet.upv.es:10251/193637
network_acronym_str ES
network_name_str España
repository_id_str
dc.title.none.fl_str_mv Evaluation of Sentinel-1, SMAP and SMOS surface soil moisture products for distributed eco-hydrological modelling in Mediterranean forest basins
title Evaluation of Sentinel-1, SMAP and SMOS surface soil moisture products for distributed eco-hydrological modelling in Mediterranean forest basins
spellingShingle Evaluation of Sentinel-1, SMAP and SMOS surface soil moisture products for distributed eco-hydrological modelling in Mediterranean forest basins
Gomis-Cebolla, José
Surface soil moisture
Remote sensing
Spatial patterns
Eco-hydrological modelling
Multi-variable calibration
INGENIERIA HIDRAULICA
title_short Evaluation of Sentinel-1, SMAP and SMOS surface soil moisture products for distributed eco-hydrological modelling in Mediterranean forest basins
title_full Evaluation of Sentinel-1, SMAP and SMOS surface soil moisture products for distributed eco-hydrological modelling in Mediterranean forest basins
title_fullStr Evaluation of Sentinel-1, SMAP and SMOS surface soil moisture products for distributed eco-hydrological modelling in Mediterranean forest basins
title_full_unstemmed Evaluation of Sentinel-1, SMAP and SMOS surface soil moisture products for distributed eco-hydrological modelling in Mediterranean forest basins
title_sort Evaluation of Sentinel-1, SMAP and SMOS surface soil moisture products for distributed eco-hydrological modelling in Mediterranean forest basins
dc.creator.none.fl_str_mv Gomis-Cebolla, José
Garcia-Arias, Alicia
Perpinyà-Vallès, Martí
Francés, F.|||0000-0003-1173-4969
author Gomis-Cebolla, José
author_facet Gomis-Cebolla, José
Garcia-Arias, Alicia
Perpinyà-Vallès, Martí
Francés, F.|||0000-0003-1173-4969
author_role author
author2 Garcia-Arias, Alicia
Perpinyà-Vallès, Martí
Francés, F.|||0000-0003-1173-4969
author2_role author
author
author
dc.contributor.none.fl_str_mv Departamento de Ingeniería Hidráulica y Medio Ambiente
Instituto Universitario de Ingeniería del Agua y del Medio Ambiente
Escuela Técnica Superior de Ingeniería de Caminos, Canales y Puertos
European Commission
Generalitat Valenciana
AGENCIA ESTATAL DE INVESTIGACION
Agencia Estatal de Investigación
Universitat Politècnica de València
Repositorio Institucional de la Universitat Politècnica de València Riunet
dc.subject.none.fl_str_mv Surface soil moisture
Remote sensing
Spatial patterns
Eco-hydrological modelling
Multi-variable calibration
INGENIERIA HIDRAULICA
topic Surface soil moisture
Remote sensing
Spatial patterns
Eco-hydrological modelling
Multi-variable calibration
INGENIERIA HIDRAULICA
description [EN] Reliable distributed hydrological modeling, especially in semi-arid areas, must consider the inclusion of surface soil moisture (SSM) spatial information during the calibration process. This variable plays a key role in the evapotranspiration processes that determine the hydrological cycle. The coarse resolution of the SSM estimates by satellite remote sensing has restricted the application of this approach to only large basins, focusing most of the studies in the consideration of simply the temporal dynamics of this variable. The growing efforts in providing higher spatial resolution through disaggregating methodologies or new sensor estimates facilitates the application of this spatial approach to small basins. This paper explores the applicability of the currently available satellite surface soil moisture estimates for distributed eco-hydrological modelling in Mediterranean forest basins. On one hand, this study contributes to fill the existing research gap on the use of remote sensing SSM spatial patterns within the distributed hydrological modelling framework in small basins. On the other hand, it serves as an indirect validation method for the spatial performance of satellite SSM products. To achieve this goal, we implemented the eco-hydrological model TETIS in three case studies named: Hozgarganta (southern Spain), Ceira (western Portugal) and Carraixet (eastern Spain). The SSM estimates selected for comparison were Sentinel-1 SSM provided by the Copernicus Global Land Services (CGLS), SMAP SSM disaggregated using Sentinel-1 (SPL2SMAP_S) provided by the National Aeronautics and Space Administration (NASA), SMOS SSM provided by the Barcelona Expert Center (BEC), and SMOS and SMAP SSM disaggregated using the DISPATCH algorithm provided by Lobelia Earth. The methodology employed involved a multi-objective and multi-variable calibration in terms of remote sensing SSM spatial patterns and in-situ streamflow, using the Spatial Efficiency Metric (SPAEF) and the Nash-Sutcliffe efficiency index (NSE) respectively. Before model calibration a sensitivity analysis of the most influent variables was performed. The temporal and spatial comparison of the reference SSM products revealed inconsistencies amongst products. The disaggregating methodology determined the spatial agreement to a greater degree than the sensor itself (i.e. SMAP, SMOS). In spite of the differences amongst products, the multi-objective calibration approach proposed increased the robustness of the hydrological modelling.
publishDate 2022
dc.date.none.fl_str_mv 2022
2022-05-01
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://riunet.upv.es/handle/10251/193637
url https://riunet.upv.es/handle/10251/193637
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.relation.none.fl_str_mv Agencia Estatal de Investigación http://dx.doi.org/10.13039/501100011033 Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020 PCI2019-103729 UN ACUEDUCTO DE INFORMACION INTEGRADORA PARA CERRAR LAS BRECHAS ENTRE LA OBSERVACION SATELITAL GLOBAL DEL CICLO DEL AGUA Y LA GESTION LOCAL SOSTENIBLE DE LOS RECURSOS HIDRICOS
European Commission https://doi.org/10.13039/501100000780 LIFE17 CCA%2FES%2F000063 Coupling water, fire and climate resilience with biomass production in Forestry to adapt watersheds to climate change
Agencia Estatal de Investigación http://dx.doi.org/10.13039/501100011033 Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020 RTI2018-093717-B-I00 MEJORAS DEL CONOCIMIENTO Y DE LAS CAPACIDADES DE MODELIZACION PARA LA PROGNOSIS DE LOS EFECTOS DEL CAMBIO GLOBAL EN UNA CUENCA HIDROLOGICA
Generalitat Valenciana https://doi.org/10.13039/501100003359 PROMETEO%2F2021%2F074
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Reconocimiento (by)
http://creativecommons.org/licenses/by/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Reconocimiento (by)
http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname:Universitat Politècnica de València (UPV)
instname_str Universitat Politècnica de València (UPV)
reponame_str RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
collection RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
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spelling Evaluation of Sentinel-1, SMAP and SMOS surface soil moisture products for distributed eco-hydrological modelling in Mediterranean forest basinsGomis-Cebolla, JoséGarcia-Arias, AliciaPerpinyà-Vallès, MartíFrancés, F.|||0000-0003-1173-4969Surface soil moistureRemote sensingSpatial patternsEco-hydrological modellingMulti-variable calibrationINGENIERIA HIDRAULICA[EN] Reliable distributed hydrological modeling, especially in semi-arid areas, must consider the inclusion of surface soil moisture (SSM) spatial information during the calibration process. This variable plays a key role in the evapotranspiration processes that determine the hydrological cycle. The coarse resolution of the SSM estimates by satellite remote sensing has restricted the application of this approach to only large basins, focusing most of the studies in the consideration of simply the temporal dynamics of this variable. The growing efforts in providing higher spatial resolution through disaggregating methodologies or new sensor estimates facilitates the application of this spatial approach to small basins. This paper explores the applicability of the currently available satellite surface soil moisture estimates for distributed eco-hydrological modelling in Mediterranean forest basins. On one hand, this study contributes to fill the existing research gap on the use of remote sensing SSM spatial patterns within the distributed hydrological modelling framework in small basins. On the other hand, it serves as an indirect validation method for the spatial performance of satellite SSM products. To achieve this goal, we implemented the eco-hydrological model TETIS in three case studies named: Hozgarganta (southern Spain), Ceira (western Portugal) and Carraixet (eastern Spain). The SSM estimates selected for comparison were Sentinel-1 SSM provided by the Copernicus Global Land Services (CGLS), SMAP SSM disaggregated using Sentinel-1 (SPL2SMAP_S) provided by the National Aeronautics and Space Administration (NASA), SMOS SSM provided by the Barcelona Expert Center (BEC), and SMOS and SMAP SSM disaggregated using the DISPATCH algorithm provided by Lobelia Earth. The methodology employed involved a multi-objective and multi-variable calibration in terms of remote sensing SSM spatial patterns and in-situ streamflow, using the Spatial Efficiency Metric (SPAEF) and the Nash-Sutcliffe efficiency index (NSE) respectively. Before model calibration a sensitivity analysis of the most influent variables was performed. The temporal and spatial comparison of the reference SSM products revealed inconsistencies amongst products. The disaggregating methodology determined the spatial agreement to a greater degree than the sensor itself (i.e. SMAP, SMOS). In spite of the differences amongst products, the multi-objective calibration approach proposed increased the robustness of the hydrological modelling.This study was founded by the Spanish AEI within the program WaterJPI through the project iAqueduct (PCI2019-103729) , by the EC Life project ResilientForests (LIFE17 CCA/ES/000063) , and by the project Water4Cast funded by Generalitat Valenciana (PROMETEO/2021/074) . We also acknowledge the following hydrometeorological data providers institutions: SiAR, SAIH-HIDROSUR, SAIH Jucar and SNIRH.ElsevierDepartamento de Ingeniería Hidráulica y Medio AmbienteInstituto Universitario de Ingeniería del Agua y del Medio AmbienteEscuela Técnica Superior de Ingeniería de Caminos, Canales y PuertosEuropean CommissionGeneralitat ValencianaAGENCIA ESTATAL DE INVESTIGACIONAgencia Estatal de InvestigaciónUniversitat Politècnica de ValènciaRepositorio Institucional de la Universitat Politècnica de València Riunet20222022-05-01journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://riunet.upv.es/handle/10251/193637reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valénciainstname:Universitat Politècnica de València (UPV)InglésengAgencia Estatal de Investigación http://dx.doi.org/10.13039/501100011033 Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020 PCI2019-103729 UN ACUEDUCTO DE INFORMACION INTEGRADORA PARA CERRAR LAS BRECHAS ENTRE LA OBSERVACION SATELITAL GLOBAL DEL CICLO DEL AGUA Y LA GESTION LOCAL SOSTENIBLE DE LOS RECURSOS HIDRICOSEuropean Commission https://doi.org/10.13039/501100000780 LIFE17 CCA%2FES%2F000063 Coupling water, fire and climate resilience with biomass production in Forestry to adapt watersheds to climate changeAgencia Estatal de Investigación http://dx.doi.org/10.13039/501100011033 Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020 RTI2018-093717-B-I00 MEJORAS DEL CONOCIMIENTO Y DE LAS CAPACIDADES DE MODELIZACION PARA LA PROGNOSIS DE LOS EFECTOS DEL CAMBIO GLOBAL EN UNA CUENCA HIDROLOGICAGeneralitat Valenciana https://doi.org/10.13039/501100003359 PROMETEO%2F2021%2F074open accesshttp://purl.org/coar/access_right/c_abf2Reconocimiento (by)http://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:riunet.upv.es:10251/1936372026-06-13T07:49:27Z
score 15.301629

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