Program

Monday, February 27, 2017

9:00- Registration

[1] Opening, Keynote 1 / Chair: Takemasa Miyoshi (RIKEN)

09:30-10:00

 Opening

Takemasa Miyoshi (RIKEN)

10:00-10:45

 Keynote

[1-1] Results of New Applications of Data Assimilation

Eugenia Kalnay (University of Maryland)

10:45-11:05 Break

[2] Keynote 2 / Chair: Takemasa Miyoshi (RIKEN)

11:05-11:50

 Keynote

[2-1] Principled Data Assimilation in Nonlinear Complex Systems

Henry Abarbanel (UC San Diego)

11:50-12:00 Group Photo
12:00-13:20 Lunch

[3] Mathematical aspect 1 / Chair: Roland Potthast (DWD / University of Reading)

14:10-14:30 Break

[4] Model-related issues 1 / Chair: Nobumasa Komori (JAMSTEC)

14:30-15:00

 Invited

[4-1] Development of a four-dimensional variational assimilation system with a high-resolution coastal ocean model

Norihisa Usui (Meteorological Research Institute)

15:00-15:20

 

[4-2] The ECMWF weak constraint 4D-Var formulation

Patrick Laloyaux (ECMWF)

[p1] Poster Session 1

15:20-16:20 Poster Session 1

[5] Model-related issues 2 / Chair: Nobumasa Komori (JAMSTEC)


- End of Day 1 -
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Tuesday, February 28, 2017

9:00- Registration

[6] Multi-scale & multi-component treatments 1 / Chairs: Genta Ueno (Institute of Statistical Mathematics) and Shin'ya Nakano (Institute of Statistical Mathematics)

10:50-11:10 Break

[7] Multi-scale & multi-component treatments 2 / Chairs: Genta Ueno (Institute of Statistical Mathematics) and Shin'ya Nakano (Institute of Statistical Mathematics)

11:10-11:40

 Invited

[7-1] Estimating and sampling error variances in coupled models

Malaquias Pena (NOAA)

11:40-12:00

 

[7-2] Application of Meteorology-Chemistry Coupled Data Assimilation Using GEMS Synthetic Radiance Observations

Ebony Lee  (Ewha Womans University)

12:00-12:20

 

[7-3] On the Mathematics of Multiscale Data Assimilation

Roland Potthast (University of Reading)

12:20-13:10 Lunch
13:10-13:40 K computer tour (optional)

[8] Mathematical aspect 2 / Chair: Roland Potthast (DWD / University of Reading)

13:40-14:10

 Invited

[8-1] Nonlinear data assimilation via hybrid particle-Kalman filters and optimal coupling

Walter Acevedo (University of Potsdam)

14:10-14:30

 

[8-2] What limits the number of observations that can be effectively assimilated?

Daisuke Hotta (Japan Meteorological Agency)

14:30-14:50 Break

[9] Mathematical aspect 3 / Chair: Roland Potthast (DWD / University of Reading)

[p2] Poster Session 2

15:40-16:40 Poster Session 2

[10] High performance computing & Big data / Chairs: Yutaka Ishikawa (RIKEN) and Steven Greybush (Pennsylvania State University)


- End of Day 2 -
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Wednesday, March 1, 2017

9:00- Registration

[11] Applications in various physical and biological systems 1 / Chair: Henry Abarbanel (University of California, San Diego)

09:30-10:00

 Invited

[11-1] Construction of predictive neuron models using large scale data assimilation

Alain Nogaret (University of Bath)

10:00-10:30

 Invited

[11-2] Characterizing diverse neuronal dynamics in sensory circuits

C Daniel Meliza (University of Virginia)

10:30-10:50 Break

[12] Applications in various physical and biological systems 2 / Chair: Henry Abarbanel (University of California, San Diego)

10:50-11:20

 Invited

[12-1] How data assimilation helps to illuminate complex biology

Maik Kschischo (University of Applied Sciences Koblenz)

11:20-11:50

 Invited

[12-2] Challenges of state and parameter estimation in cardiac dynamics

Ulrich Parlitz (Max Planck Institute for Dynamics and Self-Organization, Gottingen, Germany)

11:50-12:10

 

[12-3] EEG-data assimilation for the resting human brain

Takumi Sase (RIKEN BSI-TOYOTA Collaboration Center)

12:10-13:10 Lunch

[13] Ideas for new applications 1 / Chairs: Nancy Nichols (University of Reading) and Joanne Waller (University of Reading)

13:10-13:40

 Invited

[13-1] Data assimilation for terrestrial magnetism

Alexandre Fournier (Institut de Physique du Globe de Paris)

13:40-14:00

 

[13-2] Review and development of data assimilation for paleoclimate

Atsushi Okazaki (RIKEN)

14:00-14:20 Break

[14] Ideas for new applications 2 / Chairs: Nancy Nichols (University of Reading) and Joanne Waller (University of Reading)

15:10-15:30 Break

[15] Non-Gaussianity & nonlinearity / Chair: Stephen Penny (University of Maryland / NCEP / RIKEN)

15:30-16:00

 Invited

[15-1] A brief review of localization for particle filters

Chris Snyder (NCAR)

16:00-16:20

 

[15-2] Synchronisation for data assimilation: an ensemble framework

Flavia Rodrigues Pinheiro (University of Reading)

16:20-16:40

 

[15-3] On the discretization of the Onsager-Machlup functional

Nozomi Sugiura (JAMSTEC)


18:30-20:30 Banquet

- End of Day 3 -
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Thursday, March 2, 2017

8:30- Registration

[16] Observational issues 1 / Chair: Takuya Kawabata (Meteorological Research Institute)

09:00-09:30

 Invited

[16-1] What observations do we need for convective-scale data assimilation?

Martin Weissmann (LMU Munich, Germany)

09:30-09:50

 

[16-2] Implicit thinning and localization of dense observation data in the LETKF: A case of phased array weather radar

Guo-Yuan Lien (RIKEN Advanced Institute for Computaitonal Science)

09:50-10:10

 

[16-3] Cloud-Resolving 4D-Var Assimilation of Doppler Wind Lidar Data on a Meso-gamma Scale Convective System

Takuya Kawabata (Meteorological Research Institute / Japan Metorological Agency)

10:10-10:30

 

[16-4] The Impact of the Radiosonde Observations of Cold Surge over the Philippine Sea in December 2012

Miki Hattori (JAMSTEC)

10:30-10:50 Break

[17] Observational issues 2 / Chair: Takuya Kawabata (Meteorological Research Institute)

10:50-11:20

 Invited

[17-1] The impact of Airborne Radio Occultation Observations on the simulation of Hurricane Karl (2010)

Shu-Hua Chen (University of California)

11:20-11:40

 

[17-2] Incorporating Correlated Observation Errors in Variational Data Assimilation

Nancy Kay Nichols (University of Reading)

11:40-12:00

 

[17-3] On the interaction of observation and a-priori error correlations in data assimilation

Alison Fowler (University of Reading)

12:00-12:20

 

[17-4] On diagnosing observation error statistics with local ensemble data assimilation

Joanne Alexandra Waller (University of Reading, UK)

12:20-13:20 Lunch

[18] Parameter optimization / Chair: Juan Ruiz (University of Buenos Aires / RIKEN)

14:10-14:30 Break

[19] Mathematical aspect 4 / Chair: Roland Potthast (DWD / University of Reading)

14:30-15:00

 Invited

[19-1] Using visible and near-infrared satellite observations for convective-scale data assimilation

Leonhard Scheck (Ludwig-Maximilians-University of Munich)

15:00-15:20

 

[19-2] Perturbation Methods for Ensemble Data Assimilation

Kazuo Saito (Meteorological Reearch Institute)

[20] Closing / Chair: Takemasa Miyoshi (RIKEN)

15:20-15:30

 Closing

Takemasa Miyoshi (RIKEN)


- End of Symposium -
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Poster Session 1 (February 27)

p1-1

 

Intercomparison of sea level variation across the Tsushima Strait among tide gauge data, a coastal altimetry product and an ocean reanalysis FORA-WNP30

Nariaki Hirose (Meteorological Research Institute)

p1-2

 

A balanced Kalman Filter ocean data assimilation system with application to the South Australian Sea

Yi Li (Imperial College London)

p1-3

 

System Design for Ocean Forecasting: Interdisciplinary Approach in Data Assimilation

Balla MAGGERO (Kenya Meteorological Services)

p1-4

 

Experimental study of global imaging data assimilation for reproducing the inner magnetosphere

Shin'ya Nakano (The Institute of Statistical Mathematics)

p1-5

 

Numerical cosmology with an ensemble of simulations

Takahiro Nishimichi (The University of Tokyo)

p1-6

 

Rubella epidemic modelling and distribution of vaccines in Japan

Masaya M Saito (The Institute of Statistical Mathematics)

p1-7

 

Chaotic characteristics of green light photoplethysmogram

Nina Sviridova (Meiji University)

p1-8

 

Two-year analysis experiments with NICAM-LETKF

Koji Terasaki (RIKEN, AICS)

p1-9

 

Local Ensemble Kalman Filter data assimilation for SWOT mission: Example of the Amazon river basin

Jean-Francois Vuillaume (Japan Agency for Marine-Earth Science and Technology)

p1-10

 

An OSSE of the response to Typhoon Man-Yi on Lake Biwa, Japan

John Craig Wells (Ritsumeikan University)

p1-11

 

Designing an Ensemble Data Assimilation System for the Mars Atmosphere

Steven J. Greybush (Penn State University)

p1-12

 

Preliminary results for General I/O Arbitration Framework for applications using PnetCDF

Tatiana Martsinkevich (RIKEN AICS)

p1-13

 

Parameter sensitivity of the LETKF-WRF system for assimilation of radar observations in a case of deep convection in Argentina

Juan Ruiz (Centro de Investigaciones del Mar y la Atmosfera)

p1-14

 

Kernel regression approach for ensemble Kalman filters

Shin'ya Nakano (The Institute of Statistical Mathematics)

p1-15

Withdrawn

p1-16

Withdrawn

p1-17

 

4D-EnVAR with iterative calculation of non-linear model

Sho Yokota (Meteorological Research Institute)

p1-18

 

Dual-Scale Neighboring Ensemble Variational Assimilation of Satellite Microwave Imager Brightness Temperatures for Typhoon ETAU

Kazumasa Aonashi (Meteorological Research Institute)

p1-19

 

Impacts of the surface observations on predicting torrential rainfalls on September 9, 2015 around Tochigi and Ibaraki prefectures

Yasumitsu Maejima (RIKEN )

p1-20 

Withdrawn

p1-21

 

Potential of assimilating river discharge observations into the atmosphere by strongly coupled data assimilation: Hydrometeorology as an inversion problem

Yohei Sawada (RIKEN Advanced Institute for Computational Science)

p1-22

 

A case study involving single observation experiments performed over snowy Siberia using a coupled atmosphere-land modeling system

Kazuyoshi Suzuki (JAMSTEC)


Poster Session 2 (February 28)

p2-23

 

Extending data assimilation with MODIS LAI observations and the dynamic global vegetation model SEIB-DGVM to multiple locations

Hazuki Arakida (RIKEN)

p2-24

 

Uncertainty quantification based on second-order adjoint method for data assimilation using massive autonomous systems

Shin-ichi Ito (The University of Tokyo)

p2-25

 

Parsing Watson-Crick Languages using the Kalman Filter

Nurul Liyana Mohamad Zulkufli (International Islamic University Malaysia)

p2-26

 

The role of background and observation error correlations in improving a model forecast of forest carbon balance using four-dimensional variational data assimilation

Nancy Kay Nichols (University of Reading)

p2-27

 

Applying data assimilation to three-dimensional precipitation nowcasting with phased-array weather radar

Shigenori Otsuka (RIKEN)

p2-28

 

Cost functions in the hybrid variational-ensemble method

Le Duc (Japan Agency for Marine-Earth Science and Technology)

p2-30 

Withdrawn

p2-31

 

Accounting for Model Error: Weak-Constraint 4D-Variational Data Assimilation

Nancy Kay Nichols (University of Reading)

p2-32

 

Accounting for model error in strong constraint 4DVar

Alison Fowler (University of Reading)

p2-34

 

Comparison of Kalman Filter and Hybrid assimilation methods in the spectral barotropic general circulation model

Takuya Kurihana (University of Tsukuba)

p2-35

Withdrawn

p2-36

 

Forecast Verification by Pattern Recognition with Integrated Precipitation Areas

Taeka Awazu (RIKEN Advanced Institute for Computational Science (AICS))

p2-37

 

Development of cloud detection algorithm for clear-sky assimilation of SSMIS humidity sounding channels and its application to JMA global data assimilation system

Yasutaka Murakami (Japan Meteorological Agency)

p2-38

 

Data assimilation experiment of SSR mode-s downlink data

Hiromu Seko (Meteorological Research Institute)

p2-39

 

Data Assimilation Experiment of Radio Occultation Refractivity Data by using a Mesoscale LETKF System

Hiromu Seko (Meteorological Research Institute)

p2-40

 

Diagnosing observation error statistics for numerical weather prediction

Joanne Alexandra Waller (University of Reading, UK)

p2-42

 

Implementing the ensemble forecast sensitivity to observations (EFSO) method with the AFES-LETKF data assimilation system

Akira Yamazaki (Japan Agency for Marine-Earth Science and Technology (JAMSTEC))

p2-43

 

An Extension of the Ensemble Kalman Filter for Estimating the Observation Error Covariance Matrix Based on the Variational Bayes Method

Akio Nakabayashi (SOKENDAI (The Graduate University for Advanced Studies))

p2-44

 

A terrain-following Covariance Localization for the WRF-LETKF Radar Data Assimilation System

Pin-Ying Wu (National Central University, Taiwan)

p2-45

 

Information contents of a 4DVar analysis based on a reduced order model approach

Tsuyoshi Wakamatsu (JAMSTEC)


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Organized by
 RIKEN Advanced Institute for Computational Science (RIKEN AICS)
Co-Organized by
 RIKEN interdisciplinary Theoretical Science Research Group (iTHES)
 Japanese Data Assimilation Research Consortium
Organizing Committees
 See Organizers Page

This symposium is partly supported by FOCUS Establishing Supercomputing Center of Excellence.
This symposium is also partly supported by JST CREST and JAXA PMM.
This workshop is carried out under the ISM Cooperative Research Program (2016 ISM CRP-5001).



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Local Organizing Committee (LOC): RIKEN AICS Data Assimilation Research Team
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