論文

2017年

Statistical Downscaling of AGCM60km Precipitation based on Spatial Correlation of AGCM20km Output

HYDROLOGICAL RESEARCH LETTERS
  • Sunmin Kim
  • ,
  • Yasuto Tachikawa
  • ,
  • Eiichi Nakakita

11
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
DOI
https://doi.org/10.3178/hrl.11.58
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000416311100010&DestApp=WOS_CPL
ID情報
  • DOI : 10.3178/hrl.11.58
  • ISSN : 1882-3416
  • Web of Science ID : WOS:000416311100010

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