The performance of the Coupled Routing and Excess Storage (CREST) distributed hydrologic model, developed by the University of Oklahoma in collaboration with the NASA for the SEVIR project, was evaluated in the Nakdong-River Basin, South Korea. From the Nakdong-River Basin, five mid-scale basins with multipurpose dams were selected for study. Tropical Rainfall Measuring Mission (TRMM) Multi-satellite Precipitation Analysis (TMPA) products were applied to the target basins and the mean areal precipitation (MAP-R) was computed and compared to that of ground based raingauge network (MAP-G). Results showed that MAP-R overestimated precipitation from 2002 to 2010 in all the target basins. A comparison between MAP-R and MAP-G generated poor statistics, including those of the correlation coefficient and root mean squared error. This study demonstrates that the CREST model combined with MAP-G performs well in all the target basins, but the MAP-R contains errors that affect hydrological simulation. These errors originate from the limitation of remote sensor using microwaves and could be reduced by employing a statistical adjustment. Satellite-based precipitation datasets are expected to provide more accurate and reliable hydrologic modeling.

1. INTRODUCTION

2. METHODOLOGY

2.1 Study Area

2.2 Meteorological Data

2.3 Topographic Parameterization

2.4 Distributed Hydrologic Model

2.5 Model Calibration

2.6 Model Evaluation

3. RESULTS

4. SUMMARY AND CONCLUSION