JpGU Meeting 2022
Session outline| Multidisciplinary and Interdisciplinary (M) | ||
|---|---|---|
| Session Sub-category | General Geosciences, Information Geosciences & Simulations (GI) | |
| Session ID | M-GI29 | |
| Title | Data assimilation: A fundamental approach in geosciences | |
| Short Title | Data assimilation | |
| Main Convener | Name | Shin ya Nakano |
| Affiliation | The Institute of Statistical Mathematics | |
| Co-Convener 1 | Name | Yosuke Fujii |
| Affiliation | Meteorological Research Institute, Japan Meteorological Agency | |
| Co-Convener 2 | Name | Takemasa Miyoshi |
| Affiliation | RIKEN | |
| Co-Convener 3 | Name | Masayuki Kano |
| Affiliation | Graduate school of science, Tohoku University | |
| Session Language | E | |
| Scope | 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. | |
| Presentation Format | Oral and Poster session | |
| Joint with | ||
| Co-sponsored | The Oceanographic Society of Japan, Meteorological Society of Japan, The Seismological Society of Japan, Society of Geomagnetism and Earth, Planetary and Space Sciences | |