2017年
Statistical Downscaling of AGCM60km Precipitation based on Spatial Correlation of AGCM20km Output
HYDROLOGICAL RESEARCH LETTERS
- ,
- ,
- 巻
- 11
- 号
- 1
- 開始ページ
- 58
- 終了ページ
- 64
- 記述言語
- 英語
- 掲載種別
- 研究論文(学術雑誌)
- DOI
- 10.3178/hrl.11.58
- 出版者・発行元
- JSHWR, JAGH, JAHS, JSPH
A statistical downscaling method based on regressing precipitation data is introduced and applied to 60-km resolution Atmospheric General Circulation Model (AGCM60km) output for daily precipitation. The method utilizes a regression domain with a 3x3 60-km grid, and the downscaling target is 3x3 20-km grids in the center of the regression domain. By shifting the regression domain one grid by one grid in 60-km resolution, the same form of regression model, but different regression coefficients for each 20-km grid, can be applied to all the downscaling target areas. Based on application tests for the Asian Monsoon region, the statistical downscaling algorithm shows extremely effective results with a certain pattern of regression error. The monthly based downscaled results from AGCM60km output shows a rather good match to the monthly mean precipitation amount of AGCM20km. The downscaled results also show a plausible mimic to the AGCM20km output in the frequency of daily precipitation amounts; however, the results showed noticeable limitations in simulating low rainfall amounts (e.g., less than 5 mm d(-1)), especially on land.
- リンク情報
- ID情報
-
- DOI : 10.3178/hrl.11.58
- ISSN : 1882-3416
- Web of Science ID : WOS:000416311100010