Multidisciplinary and Interdisciplinary(M)
Session Sub-categoryGeneral Geosciences, Information Geosciences & Simulations
Session IDM-GI22
Related FieldsA, P, S, H, B
TitleData assimilation: A fundamental approach in geosciences
Short TitleData assimilation
Main ConvenerNameShin'ya Nakano
AffiliationThe Institute of Statistical Mathematics
Co-Convener 1NameYosuke Fujii
AffiliationMeteorological Research Institute, Japan Meteorological Agency
AffiliationGraduate School of Science, Kyoto University
Co-Convener 3NameTakemasa Miyoshi
AffiliationRIKEN Advanced Institute for Computational Science
Session LanguageEE
ScopeData 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 FormatOral and Poster presentation
Co-Sponsoring Societies
(Society Members)
The Oceanographic Society of Japan, Meteorological Society of Japan, The Seismological Society of Japan, Society of Geomagnetism and Earth, Planetary and Space Sciences
Invited Authors
  • Takuya Kawabata (Meteorological Research Institute)
  • Guo-Yuan Lien (RIKEN Advanced Institute for Computational Science)
  • Yasumasa Miyazawa (Japan Agency for Marine-Earth Science and Technology)
  • Yohei Sawada (Meteorological Research Institute)
  • Akira Oka (Atmosphere and Ocean Research Institute, The University of Tokyo)
  • Shih-Sian Yang (Institute of Space Science, National Central University, Taiwan)
Time Presentation No Title Presenter Abstract
Oral Presentation May 20 AM1
09:00 - 09:15 MGI22-01Assimilation of EUV and ENA measurements for modeling of the inner magnetosphereShin'ya Nakano Abstract
09:15 - 09:30 MGI22-02Grad-CAM will tell the important regions to predict the typhoon intensityShinya Tanahara Abstract
09:30 - 09:50 MGI22-03Development of a storm-scale particle filter for investigating predictability of convection initiation and developmentTakuya Kawabata Abstract
09:50 - 10:05 MGI22-04Toward improved LETKF assimilation of non-local and dense observation by direct covariance localization in model spaceDaisuke Hotta Abstract
10:05 - 10:25 MGI22-05Issues regarding maintaining ensemble spreads, balance, and high-resolution information in rapid-update-cycle radar data assimilation with the LETKFGuo-Yuan Lien Abstract
Oral Presentation May 20 AM2
10:45 - 11:00 MGI22-06Development of a global ocean data assimilation system based on a 4DVAR methodYosuke Fujii Abstract
11:00 - 11:20 MGI22-07Inter-comparison of data assimilation methods including ensemble-based techniques and implications for real applicationsYasumasa Miyazawa Abstract
11:20 - 11:35 MGI22-08Precipitation-SST relationship in a reanalysis dataset by a coupled atmosphere-ocean data assimilation system of JMA/MRIChiaki Kobayashi Abstract
11:35 - 11:55 MGI22-09Eco-hydrological land data assimilation to monitor terrestrial water, ecosystem, and hydrological disastersYohei Sawada Abstract
11:55 - 12:10 MGI22-10Using the Ensemble Forecast Sensitivity to Observations (EFSO) technique for an adaptive sampling problem in a global observing systemAkira Yamazaki Abstract
Presentation No Title Presenter Abstract
Poster Presentation May 20 Core Time
MGI22-P01 Inversion of the ocean vertical diffusivity from steady-state tracer distributions by using an adjoint method Akira Oka Abstract
MGI22-P02 Impact of the spatial-temporal filtered increments for the high-resolution model Nariaki Hirose Abstract
MGI22-P03 Numerical Weather Prediction Experiments using a Coupled Atmosphere-Ocean Data Assimilation System in JMA/MRI (2) Toshiyuki ISHIBASHI Abstract
MGI22-P04 Applying data assimilation to precipitation nowcasting Shigenori Otsuka Abstract
MGI22-P05 A new application of reanalysis dataset: investigation on the influence of a solar eclipse on the atmospheric temperature. Shih-Sian Yang Abstract