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dc.contributor.authorQuintana Seguí, Pere
dc.contributor.authorBarella Ortiz, Anaïs
dc.contributor.authorRegueiro Sanfiz, Sabela
dc.contributor.authorMíguez Macho, Gonzalo
dc.date.accessioned2021-01-19T13:46:32Z
dc.date.available2021-01-19T13:46:32Z
dc.date.issued2020
dc.identifier.citationQuintana-Seguí, P., Barella-Ortiz, A., Regueiro-Sanfiz, S. et al. The Utility of Land-Surface Model Simulations to Provide Drought Information in a Water Management Context Using Global and Local Forcing Datasets. Water Resour Manage 34, 2135–2156 (2020). https://doi.org/10.1007/s11269-018-2160-9
dc.identifier.issn0920-4741
dc.identifier.urihttp://hdl.handle.net/10347/24237
dc.description.abstractDrought diagnosis and forecasting are fundamental issues regarding hydrological management in Spain, where recurrent water scarcity periods are normal. Land-surface models (LSMs) could provide relevant information for water managers on how drought conditions evolve. Here, we explore the usefulness of LSMs driven by atmospheric analyses with different resolutions and accuracies in simulating drought and its propagation to precipitation, soil moisture and streamflow through the system. We perform simulations for the 1980-2014 period with SASER (5 km resolution) and LEAFHYDRO (2.5 km resolution), which are forced by the Spanish SAFRAN dataset (at 5km and 30km resolutions), and the global eartH2Observe datasets at 0.25 degrees (including the MSWEP precipitation dataset). We produce standardized indices for precipitation (SPI), soil moisture (SSMI) and streamflow (SSI). The results show that the model structure uncertainty remains an important issue in current generation large-scale hydrological simulations based on LSMs. This is true for both the SSMI and SSI. The differences between the simulated SSMI and SSI are large, and the propagation scales for drought regarding both soil moisture and streamflow are overly dependent on the model structure. Forcing datasets have an impact on the uncertainty of the results but, in general, this impact is not as large as the uncertainty due to model formulation. Concerning the global products, the precipitation product that includes satellite observations (MSWEP) represents a large improvement compared with the product that does not
dc.description.sponsorshipThis is a contribution to the EU-FP7 eartH2Observe project, which received funding from the European Union’s Seventh Programme for research, technological development and demonstration under grant agreement no. 603608. This work has been partially funded by the Spanish Ministry of Science, Innovation and Universities and the European Regional Development Fund through grants CGL2013-47261-R and CGL2017-85687-R. This work is a contribution to the HyMeX program (Hydrological Cycle in the Mediterranean Experiment; http://www.hymex.org)
dc.language.isoeng
dc.publisherSpringer
dc.relationinfo:eu-repo/grantAgreement/EC/FP7/603608
dc.rights© The Author(s) 2019. Open Access. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made
dc.rightsAtribución 4.0 Internacional
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectLand-surface models
dc.subjectReanalysis
dc.subjectPrecipitation
dc.subjectSoil moisture
dc.subjectStreamflow
dc.subjectWater management
dc.titleThe Utility of Land-Surface Model Simulations to Provide Drought Information in a Water Management Context Using Global and Local Forcing Datasets
dc.typeinfo:eu-repo/semantics/article
dc.identifier.DOI10.1007/s11269-018-2160-9
dc.relation.publisherversionhttps://doi.org/10.1007/s11269-018-2160-9
dc.type.versioninfo:eu-repo/semantics/publishedVersion
dc.identifier.e-issn1573-1650
dc.rights.accessrightsinfo:eu-repo/semantics/openAccess
dc.contributor.affiliationUniversidade de Santiago de Compostela. Departamento de Física de Partículas
dc.description.peerreviewedSI


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© The Author(s) 2019. Open Access. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made
Except where otherwise noted, this item's license is described as  © The Author(s) 2019. Open Access. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made





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