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AICS International Workshop on Data Assimilation 2013

February 26-27, 2013
RIKEN Advanced Institute for Computational Science (AICS), Kobe, Japan

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Call for papers: JMSJ Special Edition on AICS International Workshop on Data Assimilation

Data Assimilation (DA) is a cross-disciplinary science to synergize numerical simulations and observational data, using statistical methods and applied mathematics. DA has long been playing a crucial role in numerical weather prediction (NWP), and recently, DA started to be applied more widely to numerical simulations beyond geophysical applications, such as planetary science and biological science. Contemporary fundamental challenges include better treatment of nonlinear and multi-scale system evolution, complex observation operators, and variables with non-Gaussian probability density functions. Developing efficient computational algorithms has also been a major issue

The goal of this workshop is to enhance creative discussions among leading scientists in wide fields of theoretical and applied data assimilation. Invited presentations will focus mainly on atmospheric applications (NWP and chemical constituents), but contributions from all aspects of data assimilation research are welcomed. The topics covered in this workshop include (but not limited to):

 •Theoretical challenges, e.g., treatment to nonlinearity and non-Gaussianity
 •Convective-scale applications for heavy rainfall forecasts
 •Applications for aerosols and chemical constituents
 •Better use of satellite data and other new types of observations
 •Multi-surface and multi-scale treatments
 •Wide applications beyond geophysical science

RIKEN Advanced Institute for Computational Science (AICS) has launched the Data Assimilation Research Team in October, 2012, to enhance high-performance computational studies by integrating with observations of the Nature. This is the first international workshop on data assimilation at AICS. Your kind and warm consideration on participation is the key to success of this workshop and is greatly appreciated.

Workshop details

Date February 26-27, 2013
Location RIKEN Advanced Institute for Computational Science
7-1-26 Minatojima-minami-machi, Chuo-ku, Kobe, 650-0047, Japan
Click here for directions.
Language English
Keynote speaker Professor Eugenia Kalnay (University of Maryland)
Invited speakers Professor Shu-Chih Yang (Taiwanese National Central University)
Dr. Kazuo Saito (JMA/Meteorological Research Institute)
Dr. Thomas Sekiyama (JMA/Meteorological Research Institute)
Registration fee No fee

Scientific Organizing Committee

Takeshi Enomoto (Kyoto University)
Toshiki Iwasaki (Tohoku University)
Nobumasa Komori (JAMSTEC/Earth Simulator Center)
Tadashi Tsuyuki (JMA/Meteorological Research Institute)
Takemasa Miyoshi (RIKEN/AICS)


Tuesday, February 26, 2013

Opening session (Chair: Takemasa Miyoshi)




Opening remarks by Kimihiko Hirao, Director of RIKEN Advanced Institute for Computational Science
(Keynote) Eugenia Kalnay (University of Maryland)
Recent Advances in Data Assimilation with Ensemble Kalman Filter
Tadashi Tsuyuki (MRI)
Deterministic Predictability of the Most Probable State and Reformulation of Variational Data Assimilation
Takeshi Enomoto (Kyoto University)
Simplified Ensemble-based Forecast Sensitivity Analysis

Group Photo
Lunch buffet at Kachoen

Session 1 (Chair: Shu-Chih Yang)







(Invited) Kazuo Saito (MRI)
Severe weather prediction in SPIRE Field 3
Hiromu Seko (MRI)
Cloud-resolving Ensemble Forecasts by using a Two-way Nested-LETKF
Masaru Kunii (MRI)
Mesoscale Data assimilation Experiment with the NHM-LETKF
Testing of variable localization with NHM-LETKF
Takuya Kawabata (MRI)
Impact of Doppler Lidar radial wind data assimilation to a localized heavy rainfall event

Poster session and break

Session 2 (Chair: Nobumasa Komori)





(Invited) Shu-Chih Yang (National Central University, Taiwan)
Improving EnKF spin-up for typhoon assimilation and prediction
Africa Perianez (DWD, Germany)
Error Analysis and Adaptive Localization for Ensemble Methods in Data Assimilation
Keiichi Kondo (University of Tsukuba)
Multiscale localization in ensemble-based data assimilation
Akira Kuwano-Yoshida (JAMSTEC)
Predictability of explosive cyclones over the northwestern Pacific region using ensemble reanalysis

End of day

Wednesday, February 27

Session 3 (Chair: Tadashi Tsuyuki)




(Invited) Thomas Sekiyama (MRI)
Data assimilation of satellite lidar aerosol observations
Ji-Sun Kang (KIAPS, Korea)
Estimation of Surface Fluxes of Carbon, Heat, Moisture, and Momentum from Atmospheric Data Assimilation
Kozo Okamoto (MRI)
Assimilation of cloudy radiances from satellite infrared imagers and sounders
Guo-Yuan Lien (University of Maryland)
Effective Assimilation of Global Precipitation: Simulation Experiments


Instructions for presenters

Poster presentation:

The size of the poster boards is approximately 110 cm by 160 cm (portrait). Pins will be provided.

Oral presentation:

We have a projector and a laptop PC equipped with Windows 7, Powerpoint 2010, and Acrobat reader. Mac users may connect directly to the projector.

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