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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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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Elsevier
2018
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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 |