C-MMACS and NAL has developed a forecast platform combining forecasts of meteorological and surface variables like rainfall, wind, surface air temperature and soil moisture. The use of multiple models allows reduction of uncertainty and enhancement of scope of forecasts. Council of Scientific & Industrial Research (CSIR) now has one of the most sophisticated forecast platforms in the world, with in-house algorithms, computing platform and data. Novel methodologies developed at C-MMACS has shown capability to enhance lead and accuracy of monsoon forecasting; new algorithm and code have been developed and integrated to enhance the scope of the forecast from rainfall to germination to crop yield. The Varsha GCM engineered at NAL has been tested over the years for monsoon and cyclone prediction; this model is also integrated to the NAL parallel computing platform for efficient performance.
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