Multidisciplinary and Interdisciplinary (M)
Session Sub-categoryGeneral Geosciences, Information Geosciences & Simulations (GI)
Session IDM-GI29
Title Data assimilation: A fundamental approach in geosciences
Short Title Data assimilation
Date & Time Oral session JUNE 3 (THU) AM1, AM2 Channel 09
Poster session JUNE 3 (THU) PM3
Main ConvenerName Shin ya Nakano
Affiliation The Institute of Statistical Mathematics
Co-Convener 1Name Yosuke Fujii
Affiliation Meteorological Research Institute, Japan Meteorological Agency
Co-Convener 2Name Takemasa Miyoshi
Affiliation RIKEN
Affiliation Graduate School of Science, Kyoto 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 presentation
Collaboration Joint with -
Co-sponsored with The Oceanographic Society of Japan, Meteorological Society of Japan, The Seismological Society of Japan, Society of Geomagnetism and Earth, Planetary and Space Sciences,