Tuesday 19 July
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09:00-09:30
Coffee
Registration in Agriculture Foyer.
Coffee available in 1L06
09:30-10:50
Advances in methodology
09:30-09:50
Gordon Inverarity
The development of a hybrid 4D-ensemble variational assimilation system
09:50-10:10
Daryl Kleist
Scale-dependent weighting and localization for the NCEP GFS hybrid 4D EnVar scheme
10:10-10:30
John Walter Acevedo Valencia
Hybrid Approach to High Dimensional Non-Gaussian Data Assimilation
10:30-10:50
Tijana Janjic
Conservation laws and the local ensemble transform Kalman filter
10:50-11:20
Coffee
Coffee available in 1L06
11:20-12:30
Advances in methodology
Invited talk:
11:20-12:10
Marc Bocquet
Nonlinear four-dimensional ensemble variational data assimilation for chaotic geophysical models
12:10-12:30
Mark Buehner
An Ensemble Kalman Filter for Numerical Weather Prediction based on Variational Data Assimilation: VarEnKF
12:30-13:30
Lunch
Lunch available in 1L06
13:30-14:30
Advances in methodology
13:30-13:50
Lars Nerger
High-Dimensional Nonlinear Data Assimilation with the Nonlinear Ensemble Transform Filter and its Smoother Extension
13:50-14:10
Keiichi Kondo
Non-Gaussian statistics and data assimilation in the global atmospheric dynamics with 10240-member ensemble Kalman filter
14:10-14:30
Roland Potthast
A Hybrid EnVar Particle Filter.
14:30-14:50
Convective scale DA
14:30-14:50
Takemasa Miyoshi
“Big Data Assimilation”: Progress and Plans
14:50-15:20
Coffee
Coffee available in 1L06
15:20-16:20
Convective scale DA
15:20-15:40
Marco Milan
Control of gravity waves in the Met Office convective-scale 4DVAR system
15:40-16:00
Christoph Schraff
Towards an operational use of the Kilometre-scale Ensemble Data Assimilation (KENDA) at DWD
16:00-16:20
Patrick Skinner
Performance of the NSSL Experimental Warn-on-Forecast System in Varying Mesoscale Environments
16:20-16:50
Coffee
Coffee available in 1L06
16:50-18:00
Convective scale DA
Invited talk:
16:50-17:40
Chris Snyder
Thoughts on multi-scale data assimilation
17:40-18:00
Corey Potvin
Impacts of missing initial condition scales on supercell forecasts: Implications for convective-scale data assimilation