2023年5月22日(月) 09:00 〜 10:30 301B (幕張メッセ国際会議場)

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)、三好 建正(理化学研究所)、加納 将行(東北大学理学研究科)、座長:加納 将行(東北大学理学研究科)、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.