14th Data Assimilation workshop
Overview
- Date: 13:30-17:45 29th August 2023 (Icebreaker: 17:45-18:30)
09:30-16:00 30th August 2023 - Place: RIKEN Center for Computational Science (R-CCS), Kobe, Japan
- Language: English
*Please join the IMT-A & KU & RIKEN joint DA workshop (9:00-12:00 29th Aug.) as well.
Registration/Poster presentation/Icebreaker
Registration formClosed- Deadline: 31st July 2023
*The registration form is the same as the IMT-A & KU & RIKEN joint Data Assimilation workshop (9:00-12:00 29th Aug.) .
*Call for only poster presentation (Please submit the title only)
*Icebreaker is an optional event with charge of ¥1000. Please pay "cash" at the registration desk on-site. Cancellation can be accepted by 12:00 JST 21th August by sending an email to the desk (See email address at the bottom). After that, the icebreaker fee will be charged regardless of your attendance.
Overview
Data Assimilation (DA) combines simulation and observation based on dynamical systems theory and statistical methods and is used for making a better prediction, creating useful analysis datasets, evaluating observing networks, and estimating tunable model parameters among many other useful outcomes. It is applied to a variety of research fields such as geoscience, engineering, and biological science. The progress of DA theories is essential in improving the analyses and forecasts and in expanding DA’s broader impacts.This workshop aims to share the recent progress of DA research in broader applications and to discuss future challenges and prospects. We invite two world’s renowned scientists who are also invited to ICIAM2023 in Tokyo in the preceding week (20-25 August). In addition, to promote exchanges and interactions among researchers in various fields, this workshop will be held on the same day right after the IMT-Atlantique & Kyoto University & RIKEN joint data assimilation workshop.
Program
29th August
Time | Speaker | Title |
---|---|---|
13:00-13:30 | Registration | |
13:30-13:50 [Chair: J. Liang] |
Takemasa Miyoshi (RIKEN) |
Opening remarks |
13:50-15:00 | Keynote: Craig Bishop (University of Melbourne) |
Bounded variable data assimilation |
15:00-15:50 | Poster presentation (Odd number) |
|
15:50-16:05 | Fugaku Tour |
|
16:05-16:25 | Break | |
16:25-17:05 [Chair: L. Li] |
James Taylor (RIKEN) |
Improving forecasts of multi-scale convective systems with the assimilation of radar observations |
17:05-17:45 | Invited: Juan Ruiz (CONICET-UBA) |
Machine learning-based estimation of state-dependent forecast uncertainty: application to data assimilation |
17:45-18:30 | Icebreaker (¥1000) |
30th August
Time | Speaker | Title |
---|---|---|
09:00-09:30 | Registration | |
09:30-10:40 [Chair: J. Taylor] |
Keynote: Pierre Tandeo (IMT-Atlantique) |
Data-driven reconstruction of partially observed dynamical systems |
10:40-11:30 | Poster presentation (Even number) |
|
11:30-12:10 | Le Duc (University of Tokyo) |
Unbalanced optimal transport: a new look into ensemble forecast and data assimilation |
12:10-13:30 | Lunch Break | [restarurant] [kitcken car] |
13:30-14:10 [Chair: M. Goodliff] |
Shigeru Fujita (ISM) |
Fundamental research for the reanalysis data of the space weather based on the global MHD simulation |
14:10-14:50 | Shun Ohishi (RIKEN) |
LETKF-based Ocean Research Analysis (LORA): A new ensemble ocean analysis dataset |
14:50-15:10 | Break |
|
15:10-15:50 [Chair: Y. Maejima] |
Nozomi Sugiura (JAMSTEC) |
Global ocean data assimilation based on the comparison of the path signatures of model and observed profiles |
15:50-16:00 | Takemasa Miyoshi (RIKEN) |
Closing remarks |
Poster presentation
Number | Speaker | Title |
---|---|---|
P01 | Dai Tie (Institute of Atmospheric Physics) |
Improving aerosol optical properties and clear-Sky solar power prediction by assimilating geostationary satellite observations |
P02 | Xiaoxing Wang (Research Organization of Information and Systems) |
Impact of Gaussian transformation on cloud cover data assimilation for historical weather reconstruction |
P03 | Shinya Nakano (ISM) |
Emulator of global MHD simulation of magnetosphere-ionosphere system and data assimilation |
P04 | Masanobu Inubushi (Tokyo University of Science) |
Characterizing data assimilation in Navier–Stokes turbulence with transverse Lyapunov exponents |
P05 | Masahiro Tanoue (MRI) |
Data assimilation of water isotopes using NICAM-LETKF |
P06 | Kazuyoshi Suzuki (JAMSTEC) |
Assimilation of AMSR2 sea surface wind data into the regional climate reanalysis system - A case study of an winter extreme precipitation event in interior Alaska - |
P07 | Akira Yamazaki (JAMSTEC) |
AFES-LETKF experimental ensemble reanalysis version 3 (ALERA3) |
P08 | Kota Takeda (Kyoto University) |
Mathematical analysis of the ensemble transform Kalman filter with covariance inflation |
P09 | Saori Nakashita (Kyoto University) |
Mesoscale ensemble assimilation of dense upper observations from three research vessels |
P10 | Takeshi Enomoto (Kyoto University) |
Convergence properties of the conjugate-gradient and Newton methods |
P11 | Jianyu Liang (RIKEN) |
Using Bred vectors to understand the instabilities in Venus's atmosphere |
P12 | Jianyu Liang (RIKEN) |
A machine learning approach to the observation operator for satellite radiance data assimilation |
P13 | Rakesh Teja Konduru (RIKEN) |
Addressing imbalance-related challenges in hourly updated satellite radiance data assimilation with a global NICAM-LETKF system |
P14 | Yasumitsu Maejima (RIKEN) |
A Control simulation experiment for August 2014 severe rainfall event using a regional model |
P15 | Zhaoyang Huo (RIKEN) |
Four-dimensional relaxation ensemble Kalman filter in radar data assimilation |
Poster size: A0 in portrait orientation (landscape is not allowed)
Organizer
- Japanese Data Assimilation Research Consortium
- RIKEN Cluster for Pioneering Research (CPR)
- RIKEN Center for Computational Science (R-CCS)
- RIKEN Interdisciplinary Theoretical and Mathematical Sciences Program (iTHEMS)
This workshop is a part of the RIKEN Symposium Series.
Inquiry
- RIKEN Center for Computational Science (R-CCS) Data Assimilation Research Team
- Email: da-ws-staff [at] ml.riken.jp (*Replace [at] with @)
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