JpGU-AGU Joint Meeting 2017

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-GI28] [EE] Data assimilation: A fundamental approach in geosciences

2017年5月22日(月) 17:15 〜 18:30 ポスター会場 (国際展示場 7ホール)

[MGI28-P08] Multi-scale localization with NICAM-LETKF using real observations

*近藤 圭一1三好 建正1 (1.国立研究開発法人 理化学研究所 計算科学研究機構)

キーワード:data assimilation, Multi-scale data assimilation, Ensemble Kalman Filter

Covariance localization plays an essential role in the ensemble Kalman filter (EnKF) with a limited ensemble size. Localization limits the influence of observations and reduces the impact of sampling errors. To enhance localization, our previous studies proposed and investigated a multi-scale localization method named the “dual localization” method which coupled two separate localization scales using an intermediate AGCM under the perfect model scenario. The results showed consistent improvement over a traditional single localization approach. In this study, we further extended the previous study to use the real-world observations with the non-hydrostatic icosahedoral atmospheric model (NICAM) and to investigate how well the dual localization method captures the multi-scale covariance structures. The results showed that the dual-localization method produced generally better spatial correlation patterns. We will present the newest results up to the time of the meeting.