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dc.contributor.authorJesús Peñil, Manuel del 
dc.contributor.authorRinaldo, Andrea
dc.contributor.authorRodríguez-Iturbe, Ignacio
dc.contributor.otherUniversidad de Cantabriaes_ES
dc.date.accessioned2017-02-10T13:53:37Z
dc.date.available2017-02-10T13:53:37Z
dc.date.issued2015
dc.identifier.issn0043-1397
dc.identifier.issn1944-7973
dc.identifier.urihttp://hdl.handle.net/10902/10279
dc.description.abstractABSTRACT: Satellite rainfall measurements, nowadays commonly available, provide valuable information about the spatial structure of rainfall. In areas with low-density rain gage networks, or where these networks are nonexistent, satellite rainfall measurements can also provide useful estimates to be used as virtual rain gages. However, satellite and rain gage measurements are statistically different in nature and cannot be directly compared to one another. In the present paper, we develop a methodology to downscale satellite rainfall measurements to generate rain-gage-equivalent statistics. We apply the methodology to four locations along a strong rainfall gradient in the Kalahari transect, southern Africa, to validate the methodology. We show that the method allows the estimation of point rainfall statistics where only satellite measurements exist. Point rainfall statistics are key descriptors for ecohydrologic studies linking the response of vegetation to rainfall dynamics.es_ES
dc.format.extent12 p.es_ES
dc.language.isoenges_ES
dc.publisherAmerican Geophysical Union (AGU)es_ES
dc.rights© American Geophysical Union (AGU)es_ES
dc.sourceWater Resour. Res., 51, 2974–2985es_ES
dc.titlePoint rainfall statistics for ecohydrological analyses derived from satellite integrated rainfall measurementses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.accessRightsopenAccesses_ES
dc.identifier.DOI10.1002/2015WR016935
dc.type.versionpublishedVersiones_ES


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