文章基本信息

标题：Bias Correction of MRI-WRF Dynamic Downscaling Datasets
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作者：Yuan-Fong Su ; Chao-Tzuen Cheng ; Jun-Jih Liou 等
期刊名称：Terrestrial Atmospheric and Oceanic Sciences
印刷版ISSN：1017-0839
出版年度：2016
卷号：27
期号：5
页码：649-657
DOI：10.3319/TAO.2016.07.14.01
出版社：Chinese Geoscience Union
摘要：The dynamic downscaling dataset provides useful insight for future climate change at the local scale. The original downscaled dataset, however, inevitably involves bias and hampers its further applications. This study presents a bias correction method that uses the quantile mapping method to a dynamic downscaled dataset originated from the Meteorological Research Institute (MRI). Daily solar radiation and hourly typhoon rainfall are selected as target variables to be corrected because they are critical variables in hydrological and agricultural practice. The results reveal that the original biases in the two datasets were markedly reduced and the statistical characteristics in the projections were much closer to that in the observations. After correction, the future changes in daily solar radiation and hourly typhoon rainfall are also evaluated. A decrease in solar radiation is suggested up to ~5% in south and west parts of Taiwan in the late 21 st century while an increasing amount, about 2%, will occur in the mountain areas. A significant increase in typhoon rainfall amount, up to ~50% is observed in the west and central parts of Taiwan in the late 21 st century and ~20% in the early 21 st century (2015 - 2039). A decrease in typhoon rainfall amount, up to ~-30%, is clear for the north and east parts of Taiwan.
关键词：Bias correction; Dynamic downscaling dataset; Daily solar radiation; Hourly typhoon rainfall;