SWAT soil moisture assessment under Mediterranean conditions: An intercomparison analysis in the Henares basin (Spain)

[EN]Study region: The Henares River Basin, central part of Spain Study focus: An assessment of SWAT soil moisture in a basin under Mediterranean conditions was carried out for the first time. Intercomparison analysis was performed using modeling (LISFLOOD model) and remote sensing (Soil Moisture and...

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Autores: Martínez Fernández, José, Molina-Navarro, Eugenio, González Zamora, Ángel, Sánchez-Gómez, Alejandro, Almendra Martín, Laura
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2023
País:España
Institución:Universidad de Salamanca (USAL)
Repositorio:GREDOS. Repositorio Institucional de la Universidad de Salamanca
OAI Identifier:oai:gredos.usal.es:10366/160651
Acceso en línea:http://hdl.handle.net/10366/160651
Access Level:acceso embargado
Palabra clave:Modeled soil moisture
Satellite soil moisture
Hydrological modelling
SWAT model
Mediterranean conditions
2511 Ciencias del Suelo (Edafología)
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spelling SWAT soil moisture assessment under Mediterranean conditions: An intercomparison analysis in the Henares basin (Spain)Martínez Fernández, JoséMolina-Navarro, EugenioGonzález Zamora, ÁngelSánchez-Gómez, AlejandroAlmendra Martín, LauraModeled soil moistureSatellite soil moistureHydrological modellingSWAT modelMediterranean conditions2511 Ciencias del Suelo (Edafología)[EN]Study region: The Henares River Basin, central part of Spain Study focus: An assessment of SWAT soil moisture in a basin under Mediterranean conditions was carried out for the first time. Intercomparison analysis was performed using modeling (LISFLOOD model) and remote sensing (Soil Moisture and Ocean Salinity, SMOS; and Soil Moisture Active Passive, SMAP) products as references, both in the topsoil and in the root zone layers. The analysis was carried out considering both the temporal and the spatial domains. New hydrological insights for the region: The evaluation results, despite being slightly better for the root zone layer, were very good overall in terms of the correlation coefficient, centered root mean square difference, and bias. The SWAT soil moisture product obtained in a basin under Mediterranean conditions gave satisfactory performances, similar to those of the modelling and satellite products with which it has been compared. When analyzing whether these assessment results were determined by factors such as land cover, soil characteristics (texture), topography (slope and altitude) and climate (precipitation), no pattern was observed. There was also no temporal pattern in the quality of the SWAT soil moisture estimation under Mediterranean conditions. Producing reliable SWAT soil moisture databases for different environments around the world, offers the possibility of increasing the availability of suitable soil moisture series, for which there is great interest.Spanish Ministry of Science, Innovation and Universities Castilla y León Government European Regional Development FundElsevierinfo202420242023info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://hdl.handle.net/10366/160651reponame:GREDOS. Repositorio Institucional de la Universidad de Salamancainstname:Universidad de Salamanca (USAL)InglésPID2020–114623RB-C33SA112P20CLU-2018–04CC0 1.0 Universalhttp://creativecommons.org/publicdomain/zero/1.0/info:eu-repo/semantics/embargoedAccessoai:gredos.usal.es:10366/1606512026-06-07T06:28:51Z
dc.title.none.fl_str_mv SWAT soil moisture assessment under Mediterranean conditions: An intercomparison analysis in the Henares basin (Spain)
title SWAT soil moisture assessment under Mediterranean conditions: An intercomparison analysis in the Henares basin (Spain)
spellingShingle SWAT soil moisture assessment under Mediterranean conditions: An intercomparison analysis in the Henares basin (Spain)
Martínez Fernández, José
Modeled soil moisture
Satellite soil moisture
Hydrological modelling
SWAT model
Mediterranean conditions
2511 Ciencias del Suelo (Edafología)
title_short SWAT soil moisture assessment under Mediterranean conditions: An intercomparison analysis in the Henares basin (Spain)
title_full SWAT soil moisture assessment under Mediterranean conditions: An intercomparison analysis in the Henares basin (Spain)
title_fullStr SWAT soil moisture assessment under Mediterranean conditions: An intercomparison analysis in the Henares basin (Spain)
title_full_unstemmed SWAT soil moisture assessment under Mediterranean conditions: An intercomparison analysis in the Henares basin (Spain)
title_sort SWAT soil moisture assessment under Mediterranean conditions: An intercomparison analysis in the Henares basin (Spain)
dc.creator.none.fl_str_mv Martínez Fernández, José
Molina-Navarro, Eugenio
González Zamora, Ángel
Sánchez-Gómez, Alejandro
Almendra Martín, Laura
author Martínez Fernández, José
author_facet Martínez Fernández, José
Molina-Navarro, Eugenio
González Zamora, Ángel
Sánchez-Gómez, Alejandro
Almendra Martín, Laura
author_role author
author2 Molina-Navarro, Eugenio
González Zamora, Ángel
Sánchez-Gómez, Alejandro
Almendra Martín, Laura
author2_role author
author
author
author
dc.subject.none.fl_str_mv Modeled soil moisture
Satellite soil moisture
Hydrological modelling
SWAT model
Mediterranean conditions
2511 Ciencias del Suelo (Edafología)
topic Modeled soil moisture
Satellite soil moisture
Hydrological modelling
SWAT model
Mediterranean conditions
2511 Ciencias del Suelo (Edafología)
description [EN]Study region: The Henares River Basin, central part of Spain Study focus: An assessment of SWAT soil moisture in a basin under Mediterranean conditions was carried out for the first time. Intercomparison analysis was performed using modeling (LISFLOOD model) and remote sensing (Soil Moisture and Ocean Salinity, SMOS; and Soil Moisture Active Passive, SMAP) products as references, both in the topsoil and in the root zone layers. The analysis was carried out considering both the temporal and the spatial domains. New hydrological insights for the region: The evaluation results, despite being slightly better for the root zone layer, were very good overall in terms of the correlation coefficient, centered root mean square difference, and bias. The SWAT soil moisture product obtained in a basin under Mediterranean conditions gave satisfactory performances, similar to those of the modelling and satellite products with which it has been compared. When analyzing whether these assessment results were determined by factors such as land cover, soil characteristics (texture), topography (slope and altitude) and climate (precipitation), no pattern was observed. There was also no temporal pattern in the quality of the SWAT soil moisture estimation under Mediterranean conditions. Producing reliable SWAT soil moisture databases for different environments around the world, offers the possibility of increasing the availability of suitable soil moisture series, for which there is great interest.
publishDate 2023
dc.date.none.fl_str_mv 2023
2024
2024
info
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10366/160651
url http://hdl.handle.net/10366/160651
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv PID2020–114623RB-C33
SA112P20
CLU-2018–04
dc.rights.none.fl_str_mv CC0 1.0 Universal
http://creativecommons.org/publicdomain/zero/1.0/
info:eu-repo/semantics/embargoedAccess
rights_invalid_str_mv CC0 1.0 Universal
http://creativecommons.org/publicdomain/zero/1.0/
eu_rights_str_mv embargoedAccess
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:GREDOS. Repositorio Institucional de la Universidad de Salamanca
instname:Universidad de Salamanca (USAL)
instname_str Universidad de Salamanca (USAL)
reponame_str GREDOS. Repositorio Institucional de la Universidad de Salamanca
collection GREDOS. Repositorio Institucional de la Universidad de Salamanca
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,812429

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