JpGU Meeting 2018
Session outline| Multidisciplinary and Interdisciplinary(M) | ||
|---|---|---|
| Session Sub-category | General Geosciences, Information Geosciences & Simulations | |
| Session ID | M-GI22 | |
| Related Fields | A, P, S, H, B | |
| 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 | SHINICHI MIYAZAKI |
| Affiliation | Graduate School of Science, Kyoto University | |
| Co-Convener 3 | Name | Takemasa Miyoshi |
| Affiliation | RIKEN Advanced Institute for Computational Science | |
| Session Language | EE | |
| 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 | |
| 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 |
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| Time | Presentation No | Title | Presenter | Abstract |
|---|---|---|---|---|
| Oral Presentation May 20 AM1 | ||||
| 09:00 - 09:15 | MGI22-01 | Assimilation of EUV and ENA measurements for modeling of the inner magnetosphere | Shin'ya Nakano | Abstract |
| 09:15 - 09:30 | MGI22-02 | Grad-CAM will tell the important regions to predict the typhoon intensity | Shinya Tanahara | Abstract |
| 09:30 - 09:50 | MGI22-03 | Development of a storm-scale particle filter for investigating predictability of convection initiation and development | Takuya Kawabata | Abstract |
| 09:50 - 10:05 | MGI22-04 | Toward improved LETKF assimilation of non-local and dense observation by direct covariance localization in model space | Daisuke Hotta | Abstract |
| 10:05 - 10:25 | MGI22-05 | Issues regarding maintaining ensemble spreads, balance, and high-resolution information in rapid-update-cycle radar data assimilation with the LETKF | Guo-Yuan Lien | Abstract |
| Oral Presentation May 20 AM2 | ||||
| 10:45 - 11:00 | MGI22-06 | Development of a global ocean data assimilation system based on a 4DVAR method | Yosuke Fujii | Abstract |
| 11:00 - 11:20 | MGI22-07 | Inter-comparison of data assimilation methods including ensemble-based techniques and implications for real applications | Yasumasa Miyazawa | Abstract |
| 11:20 - 11:35 | MGI22-08 | Precipitation-SST relationship in a reanalysis dataset by a coupled atmosphere-ocean data assimilation system of JMA/MRI | Chiaki Kobayashi | Abstract |
| 11:35 - 11:55 | MGI22-09 | Eco-hydrological land data assimilation to monitor terrestrial water, ecosystem, and hydrological disasters | Yohei Sawada | Abstract |
| 11:55 - 12:10 | MGI22-10 | Using the Ensemble Forecast Sensitivity to Observations (EFSO) technique for an adaptive sampling problem in a global observing system | Akira 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 |