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Stochastic prediction of drought class transitions

dc.contributor.authorPaulo, Ana A.
dc.contributor.authorPereira, L.S.
dc.date.accessioned2013-10-10T09:46:09Z
dc.date.available2013-10-10T09:46:09Z
dc.date.issued2008
dc.description.abstractThis paper aims at the stochastic characterization of droughts applying Markov chains modeling to drought class transitions derived from SPI time series. Several sites in Southern Portugal having updated data on precipitation available were considered. The drought class probabilities, the expected residence time in each class of severity, the expected time for the transition between drought classes and the drought severity class predictions 1, 2, or 3 months ahead have been obtained. Those predictions are then compared with observed drought classes for the recent drought periods of 2003–2006. In addition, the estimation of the cumulated precipitation deficits, amount of monthly precipitation needed to decrease drought severity, and foreseen SPI values depending on different precipitation scenarios are also presented as complementing the prediction of drought class transitions.por
dc.identifier.citation"Water Resouce Management". ISSN 0920-4741. 22 (2008) 1277-1296por
dc.identifier.issn0920-4741
dc.identifier.urihttp://hdl.handle.net/10400.5/5995
dc.language.isoengpor
dc.peerreviewedyespor
dc.publisherSpringerpor
dc.subjectMarkov chainspor
dc.subjectstandardized precipitation indexpor
dc.subjectstochastic modelingpor
dc.subjectrainfall deficitspor
dc.subjectPortugalpor
dc.titleStochastic prediction of drought class transitionspor
dc.typejournal article
dspace.entity.typePublication
oaire.citation.titleWater Resource Managementpor
rcaap.rightsopenAccesspor
rcaap.typearticlepor

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