Regression-based season-ahead drought prediction for southern Peru conditioned on large-scale climate variables
نویسندگان
چکیده
منابع مشابه
prediction of monthly precipitation based on large-scale climate signals using intelligent models and multiple linear regression (case study: semnan synoptic station)
large-scale climatic signals including ocean-atmosphere interactions, are the main factors influencing the earth’s climatic oscillations and are the most important indices in predicting of climate variables. in this research, precipitation in the next month was predicted by applying artificial neural network (ann), neuro-fuzzy network (nfn), and multiple linear regression (mlr) in semnan synopt...
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ژورنال
عنوان ژورنال: Hydrology and Earth System Sciences
سال: 2018
ISSN: 1607-7938
DOI: 10.5194/hess-22-287-2018