000161761 001__ 161761
000161761 005__ 20251017144559.0
000161761 0247_ $$2doi$$a10.1038/s41597-025-05312-1
000161761 0248_ $$2sideral$$a144463
000161761 037__ $$aART-2025-144463
000161761 041__ $$aeng
000161761 100__ $$aHuerta, Adrian
000161761 245__ $$aSC-PREC4SA: A serially complete daily precipitation dataset for South America
000161761 260__ $$c2025
000161761 5060_ $$aAccess copy available to the general public$$fUnrestricted
000161761 5203_ $$aThis study introduces the serially complete precipitation dataset for South America (SC-PREC4SA), a daily precipitation dataset (1960-2015) designed to address observational gaps and ensure temporal consistency across diverse climates. The raw dataset underwent quality control, gap-filling, and homogenization procedures. Applied robust quality control highlighted common but also overlooked issues, enhancing data reliability. Gap-filling achieved a mean accuracy of 70 % (60 %) in the prediction on wet/dry days (wet-day magnitude). These metrics highlight the reliability of the gap-filling process, particularly in mixed climates, where station networks are sparse. The homogenization algorithm, focused primarily on wet days, effectively reduced inhomogeneities while preserving precipitation variability across South America. By integrating a unified framework and multiple outputs from 7794 stations, SC-PREC4SA provides a robust dataset that captures daily precipitation patterns with high to moderate accuracy and consistency. It offers a valuable resource for climate research, hydrological modeling, and water resource management, addressing longstanding challenges in precipitation data availability and quality for South America.
000161761 540__ $$9info:eu-repo/semantics/openAccess$$aby-nc-nd$$uhttps://creativecommons.org/licenses/by-nc-nd/4.0/deed.es
000161761 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000161761 700__ $$0(orcid)0000-0001-7663-1202$$aSerrano-Notivoli, Roberto$$uUniversidad de Zaragoza
000161761 700__ $$aBrönnimann, Stefan
000161761 7102_ $$13006$$2430$$aUniversidad de Zaragoza$$bDpto. Geograf. Ordenac.Territ.$$cÁrea Geografía Física
000161761 773__ $$g12, 1006 (2025), 16$$pSci. data$$tSCIENTIFIC DATA$$x2052-4463
000161761 8564_ $$s2262466$$uhttps://zaguan.unizar.es/record/161761/files/texto_completo.pdf$$yVersión publicada
000161761 8564_ $$s2668253$$uhttps://zaguan.unizar.es/record/161761/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000161761 909CO $$ooai:zaguan.unizar.es:161761$$particulos$$pdriver
000161761 951__ $$a2025-10-17-14:13:52
000161761 980__ $$aARTICLE