Research Projects

Seasonal prediction of Indian Summer Monsoon Rainfall (ISMR) is a high priority research challenge because of the complex ocean-atmosphereand land-atmosphere interaction processes resulting in variability at diurnal to decadal time-scales, but the state of the art coupled climatemodels still have limitations in simulating regional Indian monsoon rainfall. Planning for water resources and agricultural management needshydrologic predictions, which need predicted ISMR for hydrologic modeling. The project proposes to simulate and predict hydrologic scenariosover India at fine resolutions (very high-resolutions at river basic scales) with a coupled dynamic-statistical downscaling model applied topredicted ISMR from a global coupled climate model. For dynamic downscaling, the Climate Weather Research and Forecasting (CWRF) modelwill be used. The dynamic downscaling model is proposed to be run at a resolution of 10 km, which will be further downscaled at station levelwith statistical downscaling for watersheds with the Upper Godavari river basin acting as the pilot site. The advantage of using CWRF is itsenhanced capability to simulate climate, optimized physics ensemble options, better representation of land atmosphere interactions, integratedwatershed modeling, etc. Use of multiple physics modules of CWRF will help in testing different scientific hypotheses and understanding theprocesses.