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http://dx.doi.org/10.7780/kjrs.2006.22.6.485

Estimation of Quantitative Precipitation Rate Using an Optimal Weighting Method with RADAR Estimated Rainrate and AWS Rainrate  

Oh, Hyun-Mi (Division of Earth Environmental System, Pusan National University)
Heo, Ki-Young (Division of Earth Environmental System, Pusan National University)
Ha, Kyung-Ja (Division of Earth Environmental System, Pusan National University)
Publication Information
Korean Journal of Remote Sensing / v.22, no.6, 2006 , pp. 485-493 More about this Journal
Abstract
This study is to combine precipitation data with different spatial-temporal characteristics using an optimal weighting method. This optimal weighting method is designed for combination of AWS rain gage data and S-band RADAR-estimated rain data with weighting function in inverse proportion to own mean square error for the previous time step. To decide the optimal weight coefficient for optimized precipitation according to different training time, the method has been performed on Changma case with a long spell of rainy hour for the training time from 1 hour to 10 hours. Horizontal field of optimized precipitation tends to be smoothed after 2 hours training time, and then optimized precipitation has a good agreement with synoptic station rainfall assumed as true value. This result suggests that this optimal weighting method can be used for production of high-resolution quantitative precipitation rate using various data sets.
Keywords
Optimal weighting method; optimal weight; RADAR-estimated rain; AWS rain gage;
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