Abstract
In this paper a blind test methodology is described and applied for inter-comparison of hydrological models using publicly available global data sets. The model inter-comparison involves making “blind”prediction of selected hydrological responses in the Mae Chaem basin (3853km2) which is located in the North West of Thailand. Moreover the value of the publicly available data sets (e.g. various satellite-based precipitations) is investigated to determine their suitability for Prediction in Ungauged Basin (PUB). The distributed hydrological model BTOPMC is applied for runoff simulation. Transfer parameters from proxy catchment and a limited measurement method are used for model parameters estimation. Though each of the satellite-based precipitations underestimated the flow, GPCP was found best among them and it showed that the application of satellite-based data in PUB is encouraging. The study also prepared a base for model inter-comparison in the Mae Chaem basin.
