日本地球惑星科学連合2018年大会

講演情報

[EE] Eveningポスター発表

セッション記号 M (領域外・複数領域) » M-GI 地球科学一般・情報地球科学

[M-GI22] Data assimilation: A fundamental approach in geosciences

2018年5月20日(日) 17:15 〜 18:30 ポスター会場 (幕張メッセ国際展示場 7ホール)

コンビーナ:中野 慎也(情報・システム研究機構 統計数理研究所)、藤井 陽介(気象庁気象研究所)、宮崎 真一(京都大学理学研究科、共同)、三好 建正(理化学研究所計算科学研究機構)

[MGI22-P03] Numerical Weather Prediction Experiments using a Coupled Atmosphere-Ocean Data Assimilation System in JMA/MRI (2)

*石橋 俊之1入口 武史1藤井 陽介1安田 珠幾1高谷 祐平1齊藤 直彬1大野木 敏和1 (1.気象庁気象研究所)

キーワード:data assimilation、numerical weather prediction、atmosphere ocean coupled data assimilation

An atmosphere-ocean coupled data assimilation system (CDAS) has been developed at the JMA/MRI to investigate feasibility of a CDAS as a future DAS for seamless numerical prediction including both numerical weather prediction (NWP) and numerical seasonal climate prediction (NCP), and for reanalysis of the atmosphere-ocean. Our CDAS (MRI-CDA1) has two features. 1) It composed of the JMA operational systems, the global atmospheric DAS (MRI-NAPEX) based on 4D-Var, the global ocean DAS (MOVE-G2) based on 3D-Var, and the atmosphere- ocean coupled global forecast model (CGCM: JMA/MRI-CGCM2). 2) Coupling strategy is “weak coupling” with two different data assimilation window lengths for the atmosphere and ocean. Here, “weak coupling” denotes the approximation that ignores correlations of atmosphere and ocean background forecast errors. Following the previous report in JpGU-AGU joint meeting 2017 (Ishibashi et al. 2017), we will report basic property of MRI-CDA1 in NWP.