日本地球惑星科学連合2019年大会

講演情報

[E] ポスター発表

セッション記号 A (大気水圏科学) » A-HW 水文・陸水・地下水学・水環境

[A-HW23] 水循環・水環境

2019年5月29日(水) 17:15 〜 18:30 ポスター会場 (幕張メッセ国際展示場 8ホール)

コンビーナ:町田 功(産業技術総合研究所地質調査総合センター)、山崎 大(東京大学生産技術研究所)、林 武司(秋田大学教育文化学部)、福士 圭介(金沢大学環日本海域環境研究センター)

[AHW23-P07] Impact of variability and anisotropy in the correlation decay distance for precipitation spatial interpolation in China

*yingxian zhang1 (1.National Climate Center, China Meteorological Administration)

キーワード:daily precipitation, correlation decay distance, ADW interpolation

The correlation decay distance (CDD) plays a key role in the angular-distance weighting (ADW) interpolation technique, being used as the searching radius to select correlated neighbors and to calculate the relative weights. The CDD of daily precipitation in China varies spatially and seasonally, and it presents anisotropic behavior, as a result of topography and the predominant atmospheric circulation. In general, CDD is largest in winter and smallest in summer, except for limited regions such as the Tibetan plateau. From a cross validation analysis, it is found that taking account of spatial and seasonal variations in CDD generally improves the ADW interpolation. Utilization of anisotropic CDDs increases the interpolation skill scores in regions with a dense monitoring network, significant elevation variation (southwestern China) or strongly anisotropic CDDs (Tibetan plateau).