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

2018年5月20日(日) 09:00 〜 10:30 302 (幕張メッセ国際会議場 3F)

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)、座長:藤井陽介

Data assimilation is an inversion approach to estimate the evolution of a system by utilizing a constraint given by a dynamical simulation model. Data assimilation is now widely used not only in meteorology and oceanography but also other fields of geosciences such as hydrology, solid earth science, and space science. This session aims at providing an opportunity for discussion on data assimilation studies among researchers of various field of geosciences. We encourage contributions addressing novel methods and theoretical developments of data assimilation. Contributions dealing with useful applications of data assimilation are also welcome.

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09:00 〜 09:15

[MGI22-01] Assimilation of EUV and ENA measurements for modeling of the inner magnetosphere

*中野慎也¹、Brandt Pontus²、Fok Mei-Ching³ (1.情報・システム研究機構　統計数理研究所、2.The Johns Hopkins University Applied Physics Laboratory、3.NASA Goddard Space Flight Center)

09:15 〜 09:30

[MGI22-02] Grad-CAM will tell the important regions to predict the typhoon intensity

*棚原慎也¹、伊藤耕介^1,2、山田広幸¹、柴田大河¹、宮田龍太¹ (1.琉球大学、2.気象研究所)

09:30 〜 09:50

[MGI22-03] Development of a storm-scale particle filter for investigating predictability of convection initiation and development

★Invited Papers

*川畑拓矢¹、上野玄太² (1.気象研究所、2.統計数理研究所)

09:50 〜 10:05

[MGI22-04] Toward improved LETKF assimilation of non-local and dense observation by direct covariance localization in model space

*堀田大介¹ (1.気象庁気象研究所)

10:05 〜 10:25

[MGI22-05] Issues regarding maintaining ensemble spreads, balance, and high-resolution information in rapid-update-cycle radar data assimilation with the LETKF

★Invited Papers

*Guo-Yuan Lien¹、Takemasa Miyoshi¹ (1.RIKEN Advanced Institute for Computational Science)

Discussion (10:25 〜 10:30)

セッション情報

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

[MGI22-01] Assimilation of EUV and ENA measurements for modeling of the inner magnetosphere

[MGI22-02] Grad-CAM will tell the important regions to predict the typhoon intensity

[MGI22-03] Development of a storm-scale particle filter for investigating predictability of convection initiation and development

★Invited Papers

[MGI22-04] Toward improved LETKF assimilation of non-local and dense observation by direct covariance localization in model space

[MGI22-05] Issues regarding maintaining ensemble spreads, balance, and high-resolution information in rapid-update-cycle radar data assimilation with the LETKF

★Invited Papers

認証