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• W282029666 abstract "Particularly in regions where precipitation is limited to only a few months per year, the reliable determination of the rainy season's onset and thus the start of the sowing time on a daily basis is of crucial importance for sustainable water management and food production. A fuzzy-logic based definition for the major rainy season's onset on a regional scale has been developed using ground-measured rainfall information. The definition accounts for the most important agricultural aspects. Further, this study presents a methodology, which is conditioning the single event onset of the rainy season to daily large-scale atmospheric circulation via automated objective classification of atmospheric circulation patterns based on fuzzy rules. This study has been carried out within a sector from 40°W to 30°E and 10°S to 60°N, covering a large area of the North Atlantic for atmospheric circulation analysis, and, for sea surface temperature, a sector from 30°W to 10°E and 20°S to 0°. These fuzzy rules are obtained using a simulated annealing optimization of the classification performance. A bootstrapping resampling scheme is applied in order to check the significance of the results. Sensitive predictor variables, with regard to the onset of the rainy season in West Africa, as well as their spatial patterns, are presented and discussed. The aim is for an overall integration in a hydro-meteorological Decision Support System (DSS)." @default.
• W282029666 created "2016-06-24" @default.
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• W282029666 date "2007-01-01" @default.
• W282029666 modified "2023-10-18" @default.
• W282029666 title "Linking the West African monsoon's onset with atmospheric circulation patterns" @default.
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