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Comparing causal techniques for rainfall variability analysis using causality algorithms in Iran

Causal analysis (CA) is a strong quantitative approach whose mechanisms have climatic predictions. In this study, we studied the patterns of causality (PC) on the effect of rainfall (ER) using climatic series collected from 170 stations for the period 1975–2014 in Iran. Next, we predicted the causal...

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Detalles Bibliográficos
Autor principal: Javari, Majid
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6138950/
https://www.ncbi.nlm.nih.gov/pubmed/30225376
http://dx.doi.org/10.1016/j.heliyon.2018.e00774