Multidisciplinary and Interdisciplinary (M)
Session Sub-categoryGeneral Geosciences, Information Geosciences & Simulations (GI)
Session IDM-GI26
Session Title Data assimilation: A fundamental approach in geosciences
Short Title Data assimilation
Date & Time Oral
Session
AM1-AM2 Fri, 30 MAY
On-site Poster
Coretime
PM3 Fri. 30 MAY
Main Convener Name Shin ya Nakano
Affiliation The Institute of Statistical Mathematics
Co-Convener 1 Name Daisuke Hotta
Affiliation Meteorological Research Institute
Co-Convener 2 Name Shun Ohishi
Affiliation RIKEN Center for Computational Science
Co-Convener 3 Name Masayuki Kano
Affiliation Graduate school of science, Tohoku University
Session Language E
Scope (Session Description) 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.
Session Format Orals and Posters session
Co-sponsorship Partner Union(s) -
JpGU Society Member(s) The Oceanographic Society of Japan, Meteorological Society of Japan, The Seismological Society of Japan, Society of Geomagnetism and Earth, Planetary and Space Sciences
International Collaborative Society -
Organizations Other Than JpGU Society Members -