2019年5月29日(水) 13:45 〜 15:15 104 (1F)

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)、三好 建正(理化学研究所)、座長:三好 建正(理化学研究所計算科学研究機構)、中野 慎也(情報・システム研究機構 統計数理研究所)

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.