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• W1984248615 abstract "ABSTRACT An approach for monthly streamflow prediction is illustrated in this paper using the concept of hydroclimatological association. Rainfall-runoff relationship over a catchment is very complex, which may not be revealed very easily. This is due to the fact that streamflow is significantly influenced by catchment characteristics, land-use pattern, spatial distribution of rainfall, evapotranspiration over the catchment, water retention over the basin, etc. Keeping the other factors more or less constant over a sufficiently small temporal span (say monthly), intensity and spatial distribution of rainfall plays a major role behind the streamflow variation. Oceans happen to be the major source of moisture for the precipitation and the rainfall distribution over the continents is proved to be linked with Sea Surface Temperature (SST) and various large-scale atmospheric circulation patterns across the globe. Thus, the variation of basin-scale streamflow is expected to be influenced by these large-scale cl..." @default.
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• W1984248615 date "2009-01-01" @default.
• W1984248615 modified "2023-09-23" @default.
• W1984248615 title "HYDROCLIMATOLOGICAL APPROACH FOR MONTHLY STREAMFLOW PREDICTION USING GENETIC PROGRAMMING" @default.
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• W1984248615 doi "https://doi.org/10.1080/09715010.2009.10514943" @default.
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