Abstract What elements should a parsimonious model reproduce at single scale to precisely simulate rainfall many scales? We posit these are: (a) the probability of dry and linear correlation structure wet/dry sequence as proxy reproducing distribution spells, (b) marginal nonzero its structure. build two‐state model, CoSMoS‐2s, that explicitly reproduces is easily applicable any timescale. Addi...

India is basically an agricultural country and the success or failure of the harvest and water scarcity in any year is always considered with the greatest concern. The average annual or seasonal rainfall at a place does not give sufficient information regarding its capacity to support crop production. Rainfall distribution pattern is the most important. The rainfall forecasting is scientificall...

Rainfall is considered as one of the major components of the hydrological process; it takes significant part in evaluating drought and flooding events. Therefore, it is important to have an accurate model for rainfall forecasting. Recently, several data-driven modeling approaches have been investigated to perform such forecasting tasks as multilayer perceptron neural networks (MLP-NN). In fact,...