dc.creatorAviles Anazco, Alex Manuel
dc.creatorCelleri Alvear, Rolando Enrique
dc.date2018-01-11T16:47:04Z
dc.date2018-01-11T16:47:04Z
dc.date2015-01-01
dc.dateinfo:eu-repo/date/embargoEnd/2022-01-01 0:00
dc.date.accessioned2018-03-14T20:31:57Z
dc.date.available2018-03-14T20:31:57Z
dc.identifier9204741
dc.identifierhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84925504832&doi=10.1007%2fs11269-015-0921-2&partnerID=40&md5=24d7091906c1963a984992460bd964e7
dc.identifierhttp://dspace.ucuenca.edu.ec/handle/123456789/28988
dc.identifier10.1007/s11269-015-0921-2
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1135890
dc.descriptionOn behalf of the decision-makers of Andean regulated river basins a drought index was developed to predict the occurrence and extent of drought events. Two stochastic models, the Markov Chain First Order (MCFO) and the Markov Chain Second Order (MCSO) model, predicting the frequency of monthly droughts were applied and the performance checked using two skill scores, respectively the ranked probability score (RPS) and the Gandin-Murphy skill score (GMSS). Data of the Chulco River basin (3200–4300 m.a.s.l.), situated in the Ecuadorian southern Andes, were employed to test the performance of both models. Results indicate that events with greater drought severity were more accurately predicted. The study also revealed the importance of verifying the quality of the forecasts and to have an assessment of the likely performance of the forecasting models before adopting any model and accepting the resulting information for decision-making.
dc.languageen_US
dc.publisherKLUWER ACADEMIC PUBLISHERS
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightshttp://creativecommons.org/licenses/by-nc-sa/3.0/ec/
dc.sourceinstname:Universidad de Cuenca
dc.sourcereponame:Repositorio Digital de la Universidad de Cuenca
dc.sourceWater Resources Management
dc.subjectAndean basins
dc.subjectDrought index
dc.subjectForecast evaluation
dc.subjectMarkov Chains
dc.subjectProbabilistic forecast
dc.titleEvaluation of Markov Chain Based Drought Forecasts in an Andean Regulated River Basin Using the Skill Scores RPS and GMSS
dc.typeArtículos de revistas


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