Downscaling of global observations into a local scale information

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The purpose of this study is to develop the method for "down scaling" from global-scale observations into local-scale hydrological information. This study is a part of Japan PUB (Prediction in Ungauged basins) group activity, and consists of following four main topics:-Stochastic hydrological model for prediction in ungauged basins.-Transferability of distributed hydrological model based on topographic similarity.-Near-real time forecasting of river flow using output of meso-scale atmospheric model-Global hydro-meteorological model considering the anthropogenic effect on water cycle-Design of new blind-test methodology for ungauged basins in Asian regionThe developed models/methods mentioned above are applied to the Irrawaddy river basin (Myanmar) to evaluate how these models can improve hydrological predictability in ungauged basins, and to show the uncertainty level on prediction in ungauged basins. Finally, "Myanmar-Japan Bilateral Workshop on "Predictions of Ungauged Basins (PUB) for Improved River Basin Management" (organized by Japan PUB research group, Water Training Center, and Irrigation Department of Myanmar) was held, and the result of application in Irrawaddy basin was reported. Through this workshop, future perspectives of prediction in ungauged basins, use of hydrological model for integrated river basin management in developing countries were discussed.