000117958 001__ 117958
000117958 005__ 20240319080952.0
000117958 0247_ $$2doi$$a10.1007/s00477-021-02144-4
000117958 0248_ $$2sideral$$a128031
000117958 037__ $$aART-2022-128031
000117958 041__ $$aeng
000117958 100__ $$0(orcid)0000-0003-4278-6622$$aPérez-Bella, José M.$$uUniversidad de Zaragoza
000117958 245__ $$aAn alternative approach to estimate any subdaily extreme of rainfall and wind from usually available records
000117958 260__ $$c2022
000117958 5060_ $$aAccess copy available to the general public$$fUnrestricted
000117958 5203_ $$aA wide variety of engineering applications requires the use of maximum values of rainfall intensity and wind speed related to short recording intervals, which can often only be estimated from available less exhaustive records. Given that many locations lack exhaustive climatic records that would allow accurate empirical correlations between different recording intervals to be identified, generic equations are often used to estimate these extreme values. The accuracy of these generic estimates is especially important in fields such as the study of wind-driven rain, in which both climatic variables are combined to characterise the phenomenon. This work assesses the reliability and functionality of some of these most widespread generic equations, analysing climatic datasets gathered since 2008 in 109 weather stations in Spain and the Netherlands. Considering multiple recording intervals at each location, it is verified that most of these generic estimations, used especially in the study of wind-driven rain, have functional limitations and can cause significant errors when characterising both variables for subdaily intervals and extreme conditions. Finally, an alternative approach is proposed to accurately extrapolate extreme values of both variables related to any subdaily recording interval in a functional manner and from any available records. © 2021, The Author(s).
000117958 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000117958 590__ $$a4.2$$b2022
000117958 591__ $$aSTATISTICS & PROBABILITY$$b10 / 125 = 0.08$$c2022$$dQ1$$eT1
000117958 591__ $$aWATER RESOURCES$$b27 / 103 = 0.262$$c2022$$dQ2$$eT1
000117958 591__ $$aENGINEERING, CIVIL$$b37 / 139 = 0.266$$c2022$$dQ2$$eT1
000117958 591__ $$aENVIRONMENTAL SCIENCES$$b104 / 275 = 0.378$$c2022$$dQ2$$eT2
000117958 591__ $$aENGINEERING, ENVIRONMENTAL$$b28 / 55 = 0.509$$c2022$$dQ3$$eT2
000117958 594__ $$a6.5$$b2022
000117958 592__ $$a0.814$$b2022
000117958 593__ $$aEnvironmental Science (miscellaneous)$$c2022$$dQ1
000117958 593__ $$aEnvironmental Engineering$$c2022$$dQ1
000117958 593__ $$aWater Science and Technology$$c2022$$dQ1
000117958 593__ $$aSafety, Risk, Reliability and Quality$$c2022$$dQ1
000117958 593__ $$aEnvironmental Chemistry$$c2022$$dQ2
000117958 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000117958 700__ $$0(orcid)0000-0002-3776-9791$$aDomínguez-Hernández, Javier$$uUniversidad de Zaragoza
000117958 700__ $$aMartínez-Martínez, Juan E.
000117958 700__ $$aAlonso-Martínez, Mar
000117958 700__ $$aCoz-Díaz, Juan J.
000117958 7102_ $$15004$$2510$$aUniversidad de Zaragoza$$bDpto. Ingeniería Mecánica$$cArea Ingeniería Construcción
000117958 773__ $$g36 (2022), [15 pp]$$pStoch. environ. res. risk assess.$$tSTOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT$$x1436-3240
000117958 8564_ $$s1982584$$uhttps://zaguan.unizar.es/record/117958/files/texto_completo.pdf$$yVersión publicada
000117958 8564_ $$s2141076$$uhttps://zaguan.unizar.es/record/117958/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000117958 909CO $$ooai:zaguan.unizar.es:117958$$particulos$$pdriver
000117958 951__ $$a2024-03-18-13:13:13
000117958 980__ $$aARTICLE