Water security is one of the major concerns related to climate change. The application uses a raster-based distributed hydrological model, CREST (Coupled Routing and Excess Storage), for Bhutan. The model is a hybrid modelling strategy that was recently developed by the University of Oklahoma (http://hydro.ou.edu) and NASA Goddard Space Flight Center scientists. CREST simulates the spatiotemporal variation of water and energy fluxes and storage on a regular grid with the grid cell resolution being user-defined, thereby enabling global- and regional-scale applications. The scalability of CREST simulations is accomplished through sub-grid scale representation of soil moisture storage capacity (using a variable infiltration curve) and runoff generation processes (using linear reservoirs). Information on this application can also be found in SERVIR Global Product Catalogue.
The application serves CREST model run output for Bhutan from 2002 to early 2014. The outputs include daily streamflow and soil moisture. The model has been run by University of Oklahoma and the output data provided to ICIMOD.
The application provides tools to view chart of daily streamflow and soil moisture for a given dam (or currently sink points of basins) and the associated river basin respectively. The streamflow value corresponds to value of streamflow raster data on the location of dam whereas soil moisture value corresponds to average soil moisture value of the basin containing the dam.
The Query Tool dialog box allows users to select dam and specify start and end date to view the chart of streamflow and soil moisture. User can also select the dams on map to view the corresponding chart of streamflow and soil moisture for the period set in the Query Tool dialog box.