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Real-time information about land surface hydrologic features enters into a range of decision support settings where interventions to reduce the vulnerability of societies to climate risks are possible. One is information to support malaria early warning systems. Others include flood and land slides risk. Here we report on a land surface model to produce variables of interest such as stream flow, evaporation and soil moisture.
A high-resolution physically based land-surface model was driven by observed climate variations from the ECMWF re-analyses data which has been blended with a set of high-resolution gridded meteorological data for Sri Lanka. These computations were executed by Dr. Sarith Mahanama of the Global Modelling and Assimilation Office of NASA GSFC. The stream flow as simulated and observed at Peradeniya is shown below.