Monday, February 27, 2017
 9:00-
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Registration |
[1] Opening, Keynote 1 / Chair: Takemasa Miyoshi (RIKEN)
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Opening |
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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)
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Keynote |
[2-1] Principled Data Assimilation in Nonlinear Complex Systems Henry Abarbanel (UC San Diego) |
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11:50-12:00 |
Group Photo |
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12:00-13:20 |
Lunch |
[3] Mathematical aspect 1 / Chair: Roland Potthast (DWD / University of Reading)
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Invited |
[3-1] Storm-Scale Weather Analysis and Prediction at the NOAA National Severe Storms Laboratory Using a Localized Particle Filter Jonathan Poterjoy (NCAR) |
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[3-2] Assimilating satellite radiances without vertical localization using the Local Ensemble Transform Kalman Filter with up to 1280 ensemble members Keiichi Kondo |
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14:10-14:30 |
Break |
[4] Model-related issues 1 / Chair: Nobumasa Komori (JAMSTEC)
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Invited |
[4-1] Development of a four-dimensional variational assimilation system with a high-resolution coastal ocean model Norihisa Usui (Meteorological Research Institute) |
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[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)
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[5-1] Meso-scale Hybrid-4DVar using Adjoint-model including 3-ice Microphysics Scheme Yasutaka Ikuta (Japan Meteorological Agency) |
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[5-2] Mesoscale hybrid data assimilation system based on JMA nonhydrostatic model Kosuke Ito (University of the Ryukyus) |
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[5-3] Consideration of data assimilation for forecasting tornadoes using high-resolution ensemble forecasts Sho Yokota (Meteorological Research Institute) |
Tuesday, February 28, 2017
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9:00-
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Registration |
[6] Multi-scale & multi-component treatments 1 / Chairs: Genta Ueno (Institute of Statistical Mathematics) and Shin'ya Nakano (Institute of Statistical Mathematics)
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Invited |
[6-1] Using ocean observations and ocean data assimilation to improve atmospheric reanalysis fluxes James Alfred Carton (University of Maryland) |
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Invited |
[6-2] Overview of the CESM-DART ocean-atmosphere ensemble coupled data assimilation system at NCAR: Current capabilities and ongoing efforts Alicia Karspeck (National Center for Atmospheric Research) |
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[6-3] Development of a Coupled Atmosphere-Ocean Data Assimilation System in JMA/MRI and a Reanalysis Experiment Yosuke Fujii (JMA/MRI) |
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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)
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Invited |
[7-1] Estimating and sampling error variances in coupled models Malaquias Pena (NOAA) |
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[7-2] Application of Meteorology-Chemistry Coupled Data Assimilation Using GEMS Synthetic Radiance Observations Ebony Lee (Ewha Womans University) |
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[7-3] On the Mathematics of Multiscale Data Assimilation Roland Potthast (University of Reading) |
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12:20-13:10 |
Lunch |
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13:10-13:40 |
K computer tour (optional) |
[8] Mathematical aspect 2 / Chair: Roland Potthast (DWD / University of Reading)
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Invited |
[8-1] Nonlinear data assimilation via hybrid particle-Kalman filters and optimal coupling Walter Acevedo (University of Potsdam) |
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[8-2] What limits the number of observations that can be effectively assimilated? Daisuke Hotta (Japan Meteorological Agency) |
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14:30-14:50 |
Break |
[9] Mathematical aspect 3 / Chair: Roland Potthast (DWD / University of Reading)
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Invited |
[9-1] A local hybrid data assimilation method for surface observations using vertical correlation information and flow-dependent error covariance Shu-Chih Yang (National Central University) |
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[9-2] Bayesian estimation of the observation-error covariance matrix Genta Ueno (The Institute of Statistical Mathematics) |
[p2] Poster Session 2
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15:40-16:40 |
Poster Session 2 |
[10] High performance computing & Big data / Chairs: Yutaka Ishikawa (RIKEN) and Steven Greybush (Pennsylvania State University)
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Invited |
[10-1] High Performance Data Assimiliation: A Computer Science Perspective of Parallel Data Coupling Tom Peterka (Argonne National Laboratory) |
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[10-2] A Flexible I/O Arbitration Framework for netCDF based Big Data Processing Workflows on High-End Supercomputers Jianwei Liao (Southwest University of China) |
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[10-3] Improving Weather Forecasts Through Reduced Precision Data Assimilation Sam Hatfield (University of Oxford) |
Wednesday, March 1, 2017
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9:00-
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Registration |
[11] Applications in various physical and biological systems 1 / Chair: Henry Abarbanel (University of California, San Diego)
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Invited |
[11-1] Construction of predictive neuron models using large scale data assimilation Alain Nogaret (University of Bath) |
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Invited |
[11-2] Characterizing diverse neuronal dynamics in sensory circuits C Daniel Meliza (University of Virginia) |
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10:30-10:50 |
Break |
[12] Applications in various physical and biological systems 2 / Chair: Henry Abarbanel (University of California, San Diego)
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Invited |
[12-1] How data assimilation helps to illuminate complex biology Maik Kschischo (University of Applied Sciences Koblenz) |
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Invited |
[12-2] Challenges of state and parameter estimation in cardiac dynamics Ulrich Parlitz (Max Planck Institute for Dynamics and Self-Organization, Gottingen, Germany) |
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[12-3] EEG-data assimilation for the resting human brain Takumi Sase (RIKEN BSI-TOYOTA Collaboration Center) |
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12:10-13:10 |
Lunch |
[13] Ideas for new applications 1 / Chairs: Nancy Nichols (University of Reading) and Joanne Waller (University of Reading)
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Invited |
[13-1] Data assimilation for terrestrial magnetism Alexandre Fournier (Institut de Physique du Globe de Paris) |
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[13-2] Review and development of data assimilation for paleoclimate Atsushi Okazaki (RIKEN) |
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14:00-14:20 |
Break |
[14] Ideas for new applications 2 / Chairs: Nancy Nichols (University of Reading) and Joanne Waller (University of Reading)
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Invited |
[14-1] A consistent view on the terrestrial carbon cycle through simultaneous assimilation of multiple data streams into a model of the terrestrial carbon cycle Marko Scholze (Lund University) |
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[14-2] Assimilation Experiment of Weather Diary Data Using an LETKF System Panduka Neluwala (The University of Tokyo ) |
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15:10-15:30 |
Break |
[15] Non-Gaussianity & nonlinearity / Chair: Stephen Penny (University of Maryland / NCEP / RIKEN)
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Invited |
[15-1] A brief review of localization for particle filters Chris Snyder (NCAR) |
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[15-2] Synchronisation for data assimilation: an ensemble framework Flavia Rodrigues Pinheiro (University of Reading) |
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[15-3] On the discretization of the Onsager-Machlup functional Nozomi Sugiura (JAMSTEC) |
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18:30-20:30 |
Banquet |
- End of Day 3 -
Thursday, March 2, 2017
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8:30- |
Registration |
[16] Observational issues 1 / Chair: Takuya Kawabata (Meteorological Research Institute)
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Invited |
[16-1] What observations do we need for convective-scale data assimilation? Martin Weissmann (LMU Munich, Germany) |
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[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) |
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[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) |
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[16-4] The Impact of the Radiosonde Observations of Cold Surge over the Philippine Sea in December 2012 Miki Hattori (JAMSTEC) |
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10:30-10:50 |
Break |
[17] Observational issues 2 / Chair: Takuya Kawabata (Meteorological Research Institute)
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Invited |
[17-1] The impact of Airborne Radio Occultation Observations on the simulation of Hurricane Karl (2010) Shu-Hua Chen (University of California) |
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[17-2] Incorporating Correlated Observation Errors in Variational Data Assimilation Nancy Kay Nichols (University of Reading) |
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[17-3] On the interaction of observation and a-priori error correlations in data assimilation Alison Fowler (University of Reading) |
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[17-4] On diagnosing observation error statistics with local ensemble data assimilation Joanne Alexandra Waller (University of Reading, UK) |
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12:20-13:20 |
Lunch |
[18] Parameter optimization / Chair: Juan Ruiz (University of Buenos Aires / RIKEN)
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Invited |
[18-1] Model Parameter Estimation Using Nonlinear Ensemble Algorithms Derek Posselt (Jet Propulsion Laboratory, California Institute of Technology) |
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[18-2] Model Parameter Estimation Using Ensemble Data Assimilation: A Case with the Nonhydrostatic Icosahedral Atmospheric Model NICAM and the Global Satellite Mapping of Precipitation Data Shunji Kotsuki (RIKEN) |
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14:10-14:30 |
Break |
[19] Mathematical aspect 4 / Chair: Roland Potthast (DWD / University of Reading)
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Invited |
[19-1] Using visible and near-infrared satellite observations for convective-scale data assimilation Leonhard Scheck (Ludwig-Maximilians-University of Munich) |
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[19-2] Perturbation Methods for Ensemble Data Assimilation Kazuo Saito (Meteorological Reearch Institute) |
[20] Closing / Chair: Takemasa Miyoshi (RIKEN)
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Closing |
- End of Symposium -
Poster Session 1 (February 27)
p1-1Poster Session 2 (February 28)
| 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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| ■■ Contact ■■ | |
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Local Organizing Committee (LOC): RIKEN AICS Data Assimilation Research Team
risda2017<at>riken.jp (Please enter @ by yourself) |