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A causal flow approach for the evaluation of global climate models
ArticleAbstract: Global climate models (GCMs) are generally used to forecast weather, understand the present climate,Palabras claves:causal comparison, causal links, causal strength, climate model evaluation, climate networks, directed networks, Granger causality, transfer flowsAutores:Angel Vázquez-Patiño, Daniel E. Mendoza, Daniel Mendoza Siguenza, Lenin Vladimir Campozano Parra, Patricio Xavier Lazo JaraFuentes:googlescopusEvaluating extreme climate indices from CMIP3&5 global climate models and reanalysis data sets: a case study for present climate in the Andes of Ecuador
ArticleAbstract: The reliability of climate models depends ultimately on their adequacy in relevant real situations.Palabras claves:ETCCDI Ecuador, evaluation of GCMs and reanalysis data, extreme climate indices, mountain regions, Paute Basin, Tropical regionsAutores:Angel Vázquez-Patiño, Daniel Tenelanda, Esteban Sánchez-Cordero, Jan Jozef Albert Feyen, Lenin Vladimir Campozano Parra, Patricio Xavier Lazo JaraFuentes:scopusVirtual control volume approach to the study of climate causal flows: Identification of humidity and wind pathways of influence on rainfall in Ecuador
ArticleAbstract: Unraveling the relationship between humidity, wind, and rainfall is vitally important to understandPalabras claves:AMAZON, Andes, Causal flows, causal strength, climate networks, Control surface, Control volume, Granger causality, Influence pathways, tropicsAutores:Angel Vázquez-Patiño, Daniela Elisabet Ballari, Lenin Vladimir Campozano Parra, Mario Guallpa, Patricio Xavier Lazo JaraFuentes:googlescopusThe Assessment of Rainfall Pbkp_rediction Using Climate Models Results and Projections under Future Scenarios: the Machangara Tropical Andean Basin Case
ArticleAbstract: Rainfall is vital in the biosphere and pbkp_redicting it is essential under the possible adverse effPalabras claves:Climate models, future scenarios, Machangara basin, projection, rainfall pbkp_rediction, random forest, RCPAutores:Angel Vázquez-Patiño, Avilés-Añazco A., Mario PeñaFuentes:googlescopus