Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/20.500.11765/12182
Spatial distribution and trends of different precipitation variability indices based on daily data in Northern Chile between 1966 and 2015
Registro completo de metadatos
Campo DC Valor Lengua/Idioma
dc.contributor.authorMeseguer Ruiz, Óliveres_ES
dc.contributor.authorPonce Philimon, Paulina I.es_ES
dc.contributor.authorGuijarro Pastor, José Antonioes_ES
dc.contributor.authorSarricolea, Pabloes_ES
dc.date.accessioned2020-06-24T08:48:13Z-
dc.date.available2020-06-24T08:48:13Z-
dc.date.issued2019-
dc.identifier.citationInternational Journal of Climatology. 2019, 39(2), p. 4595-4610es_ES
dc.identifier.issn0899-8418-
dc.identifier.issn1097-0088-
dc.identifier.urihttp://hdl.handle.net/20.500.11765/12182-
dc.description.abstractNorthern Chile is one of the most arid regions in the world, as it includes the Atacama Desert. At high elevations, most precipitation is observed only during a short period of the year, from December until March. This renders water availability a major concern for policymakers. Accumulated rainfall varies considerably from one year to another, and for this reason, climate projections have a very low degree of confidence in this area. Consequently, in this region, it is more interesting to study the irregularity of precipitation itself than accumulated rainfall values, as they express in a clearer way the behaviour of precipitation. According to daily data from 161 meteorological stations, four irregularity indices of precipitation were calculated: concentration index, entropy, persistence index, and fractal dimension. These indices were measured according to observed values, and their spatial distribution was subsequently determined by interpolating following multivariate regression models that consider different geographical variables such as latitude, distance to the Amazon Basin, elevation, orientation, and curvature. The temporal trends of each index and for each meteorological station were also calculated, displaying different results depending on the latitude and elevation. These changes agree with the observed modifications on the inter‐tropical atmospheric circulation and with changes in the precipitation diurnal cycle. These results will help improve climate projections for this region, in the process facilitating the development of more accurate climate models and informing the formulation of water management policies.es_ES
dc.description.sponsorshipThe authors want to thank the FONDECYT Project 11160059, the CLICES Project (CGL2017‐83866‐C3‐2‐R), and the Climatology Group (2017 SGR 1362, Catalan Government) for their support.es_ES
dc.language.isoenges_ES
dc.publisherRoyal Meteorological Societyes_ES
dc.publisherWileyes_ES
dc.subjectConcentration Indexes_ES
dc.subjectClimate variabilityes_ES
dc.subjectEntropyes_ES
dc.subjectFractal Dimensiones_ES
dc.subjectPersistencees_ES
dc.subjectNorthern Chilees_ES
dc.titleSpatial distribution and trends of different precipitation variability indices based on daily data in Northern Chile between 1966 and 2015es_ES
dc.typeinfo:eu-repo/semantics/preprintes_ES
dc.relation.publisherversionhttps://dx.doi.org/10.1002/joc.6089es_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
Colecciones: Artículos científicos 2019-2022


Ficheros en este ítem:
  Fichero Descripción Tamaño Formato  
meseguer_Spatial_IJC1...
4,89 MBAdobe PDFVista previa
Visualizar/Abrir
Mostrar el registro sencillo del ítem



Los ítems de Arcimis están protegidos por una Licencia Creative Commons, salvo que se indique lo contrario.

Repositorio Arcimis
Nota Legal Contacto y sugerencias