領域外・複数領域(M)
セッション小記号 地球科学一般・情報地球科学(GI)
セッションID M-GI26
タイトル 和文 Data assimilation: A fundamental approach in geosciences
英文 Data assimilation: A fundamental approach in geosciences
タイトル短縮名 和文 Data assimilation
英文 Data assimilation
代表コンビーナ 氏名 和文 中野 慎也
英文 Shin ya Nakano
所属 和文 情報・システム研究機構　統計数理研究所
英文 The Institute of Statistical Mathematics
共同コンビーナ 1 氏名 和文 堀田 大介
英文 Daisuke Hotta
所属 和文 気象研究所
英文 Meteorological Research Institute
共同コンビーナ 2 氏名 和文 大石 俊
英文 Shun Ohishi
所属 和文 理化学研究所　計算科学研究センター
英文 RIKEN Center for Computational Science
共同コンビーナ 3 氏名 和文 加納 将行
英文 Masayuki Kano
所属 和文 東北大学理学研究科
英文 Graduate school of science, Tohoku University
発表言語 E
スコープ 和文 
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.
英文 
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.
発表方法 口頭および（または）ポスターセッション
招待講演 近藤 圭一 (気象庁気象研究所)
Jiping Xie (Nansen Environmental and Remote Sensing Center, Norway)
時間 講演番号 タイトル 発表者
口頭発表 5月30日 AM1
9:00 - 9:15 MGI26-01 A hybrid particle filter/ensemble Kalman filter implementation with an intermediate AGCM 近藤 圭一
9:15 - 9:30 MGI26-02 Ensemble Data Assimilation with Binary Observations: Theory and Application to Urban Flood Monitoring 澤田 洋平
9:30 - 9:45 MGI26-03 衛星データ同化による太陽高エネルギー粒子のモデリング 簑島 敬
9:45 - 10:00 MGI26-04 Ultra-High Spatiotemporal Resolution Reconstruction of the Climate around Japan with Large Ensemble of Climate Simulations and Old Documents Atsushi Okazaki
10:00 - 10:15 MGI26-05 津波誘導磁場に基づく津波データ同化 林 智恒
10:15 - 10:30 MGI26-06 TOPAZ5: Upgraded the Arctic coupled ocean and sea-ice forecasting system with Ensemble Kalman Filter Jiping Xie
講演番号 タイトル 発表者
ポスター発表 5月30日 PM3
MGI26-P01 Development of LETKF system based on the JMA’s ASUCA-Var 寺崎 康児
MGI26-P02 Using Data Assimilation to Improve Data-Driven Models Michael Goodliff
MGI26-P03 Reduced non-Gaussianity in multi-scale background error by assimilating every-30-second radar observation: a case of idealized deep convection 雨宮 新
MGI26-P04 Functional data assimilation to make use of high resolution data 中野 慎也
MGI26-P05 Assimilation of ionospheric non-Gaussian data into an emulator of a magnetosphere-ionosphere model 中野 慎也