日本地球惑星科学連合2014年大会

講演情報

インターナショナルセッション(口頭発表)

セッション記号 A (大気海洋・環境科学) » A-CG 大気海洋・環境科学複合領域・一般

[A-CG04_1PM2] Hydroclimate in Asian monsoon region

2014年5月1日(木) 16:15 〜 18:00 413 (4F)

コンビーナ:*松本 淳(首都大学東京大学院都市環境科学研究科地理環境科学専攻)、里村 雄彦(京都大学大学院理学研究科地球惑星科学専攻)、樋口 篤志(千葉大学環境リモートセンシング研究センター)、鼎 信次郎(東京工業大学大学院情報理工学研究科)、高橋 洋(首都大学東京大学院都市環境科学研究科)、座長:高橋 洋(首都大学東京大学院都市環境科学研究科)、鼎 信次郎(東京工業大学大学院情報理工学研究科)

17:35 〜 17:50

[ACG04-12] GCMの現在期間再現性を考慮したチャオプラヤ流域における将来流量予測

*渡部 哲史1平林 由希子1鼎 信次郎2 (1.東京大学工学系研究科、2.東京工業大学理工学研究科)

キーワード:気候変動, 河川流量

Future river discharge in the Chao Phraya River basin was projected, taking into account the performance of multiple General Circulation Models (GCMs). Future hydrological simulations using outputs from multiple GCMs are important for assessing the uncertainty in the projections. In addition, consideration of the spread of GCM projections should be included in the analysis to appropriately evaluate extremes, as there can be significant differences among projections. This study, therefore, developed a bias-corrected dataset for multiple GCMs outputs and a performance metrics to evaluate each GCM in order to project future river discharge more appropriately.To develop a bias-corrected future climate dataset, an advanced bias correction method is applied, in which the trend of variables from the reference to the projection period is preserved. Then, future river discharge was projected by the H08 hydrological model. The newly developed future climate dataset enabled us to conduct a projection that considered the spread of projection derived from multiple GCMs.Several metrics to evaluate the performance of each GCM to reproduce monsoon precipitation were proposed to estimate performance-based projection because evaluation of GCM performance in simulating monsoon behavior is important for projecting future discharge in the Chao Phraya River basin. This study was performed to investigate the effects of performance metrics and to estimate the spread of projections derived from the differences in multiple performance metrics. Multiple future projections using available GCM outputs were conducted in the Chao Phraya River basin and multiple weighted ensemble means were obtained using the proposed multiple metrics related to monsoon precipitation. We compared the projected results obtained and discuss the characteristics of each projection. The performance-based projections indicated that the future river discharge in September is increased by 60%?90% of the retrospective simulation. Our results highlight the importance of appropriate evaluation for the performance of GCMs.