000164120 001__ 164120
000164120 005__ 20251121161351.0
000164120 0247_ $$2doi$$a10.1007/s11069-025-07731-0
000164120 0248_ $$2sideral$$a146269
000164120 037__ $$aART-2025-146269
000164120 041__ $$aeng
000164120 100__ $$0(orcid)0000-0003-2892-518X$$aVicente-Serrano, S. M.
000164120 245__ $$aDeveloping science-informed maps and climate service for extreme rainfall in Spain
000164120 260__ $$c2025
000164120 5060_ $$aAccess copy available to the general public$$fUnrestricted
000164120 5203_ $$aThis study introduces the first high-resolution hazard probability maps of extreme precipitation for Spain, marking a significant step toward a national climate service for hydrometeorological extremes. Using long-term daily precipitation records from a dense network of stations and incorporating topographic data, the methodology combines the Generalized Pareto distribution with universal kriging to spatially interpolate distribution parameters. These maps offer reliable estimates of extreme precipitation quantiles, validated against station-level observations, and are based on a stationary modelling framework—an approach supported by recent findings showing the temporal stability of such extremes in Spain and considered more robust than non-stationary alternatives. Distinct spatial patterns emerge, with intense daily precipitation distributed mainly along the Mediterranean coast and high total event precipitation in the northwest and southwest, reflecting the influence of varied weather systems. To support decision-making, the study aggregates these high-resolution data at the provincial level, aligning risk information with administrative boundaries, and enhancing its relevance for policy and planning. Furthermore, the maps are made accessible via an interactive online platform (https://retornolluvias.csic.es), enabling users to explore localized hazard probabilities, thereby supporting adaptation in water management and civil protection, among others.
000164120 536__ $$9info:eu-repo/grantAgreement/EUR/MICINN/FEDER/TED2021-129152B-C41$$9info:eu-repo/grantAgreement/ES/MICINN/PID2022-137244OB-I00
000164120 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttps://creativecommons.org/licenses/by/4.0/deed.es
000164120 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000164120 700__ $$0(orcid)0000-0002-3974-2947$$aBeguería, S.
000164120 700__ $$aReig, F.
000164120 700__ $$aRoyo, A.
000164120 700__ $$aArretxea, M.
000164120 700__ $$aGil, M.
000164120 700__ $$aLatorre, B.
000164120 700__ $$aKenawy, A. El
000164120 700__ $$aFranquesa, M.
000164120 700__ $$aHalifa-Marin, A.
000164120 700__ $$aAdell-Michavila, M.
000164120 700__ $$aCrespillo, A.
000164120 700__ $$aPérez-Pajuelo, D.
000164120 700__ $$0(orcid)0000-0003-3085-7040$$aDomínguez-Castro, F.
000164120 700__ $$aBarriopedro, D.
000164120 700__ $$aGutiérrez, J. M.
000164120 700__ $$aAzorin-Molina, C.
000164120 700__ $$aGimeno, L.
000164120 700__ $$aNieto, R.
000164120 773__ $$g(2025), [22 pp.]$$pNat. hazards$$tNATURAL HAZARDS$$x0921-030X
000164120 8564_ $$s3679194$$uhttps://zaguan.unizar.es/record/164120/files/texto_completo.pdf$$yVersión publicada
000164120 8564_ $$s1475117$$uhttps://zaguan.unizar.es/record/164120/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000164120 909CO $$ooai:zaguan.unizar.es:164120$$particulos$$pdriver
000164120 951__ $$a2025-11-21-14:26:55
000164120 980__ $$aARTICLE