COMPARISON OF BIAS CORRECTION USING GSMAP PRODUCTION AND OBSERVED RAINFALL IN KHON KAEN PROVINCE
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Abstract
Some areas of Khon Kaen province always face flood problem due to heavy rainfall. Forecasting of rainfall using GSMap products will encourage flood management and warning. Therefore, the objective of this study was to compare the accuracy of the three bias correction methods of Bias collection, Distribution transformation and Spatial bias. The data of 7 stations for both observed and GSMap daily rainfall during May 1, to September 30, 2021 were utilized to test the accuracy. The results of accuracy using R2 index were 0.30, 0.30 and 0.95 for Bias collection, Distribution transformation and Spatial bias methods, respectively. Testing the accuracy using RMSE (mm.) for Bias collection, Distribution transformation and Spatial bias methods reveals values of 7.57, 7.75 and 2.15, respectively. Additionally, Spatial bias method was suitable to apply for bias correction.
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The published articles are copyright of the Engineering Journal of Research and Development, The Engineering Institute of Thailand Under H.M. The King's Patronage (EIT).
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