Mon 18th July
15:30-17:00
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Name
Title
1
Kristoffer Aalstad
An ensemble-based subgrid snow data assimilation framework
2
Lilo Bach
Ensemble data assimilation for regional reanalyses
3
Ross Bannister
Properties of three methods of representing non-Gaussian background error distributions for moisture
4
Elisabeth Bauernschubert
Assimilation of Radial Winds in an Ensemble Kalman Filter on the Convective Scale
5
Michael Bender
GPS Slant Delay Assimilation for Convective Scale NWP
6
Philip Browne
A comparison of the LETKF and the equivalent weights particle filter on the barotropic vorticity model
7
Vincent Chabot
Diagnosis and normalization of wavelet-induced background error variances
8
Stefano Ciavatta
Decadal reanalysis of biogeochemical indicators and fluxes in the North West European shelf: Towards operational ecology
9
luisa D'Amore
New strategies and algorithms to solve Data Assimilation problems in Oceanography efficiently on next generation computing systems
10
Sylvain Delahaies
Variational methods to estimate terrestrial ecosystem model parameters
11
Andrew Lorenc
The benefit of generalised "localisation" of ensemble covariances
12
Krystof Eben
Comparison of water vapour analysis increments derived from different data sources
13
Adam El-Said
Conditioning of Weak-Constraint 4DVAR
14
Ronald Errico
Characterizing Background Error with the NASA/GMAO OSSE
15
Xiangbo Feng
Calculation of coupled error covariances from Coupled ECMWF Reanalysis
16
Alison Fowler
The impact of observations with correlated errors: a one dimensional study
17
Yasutaka Ikuta
Data Assimilation with Adjoint Model including Three-Ice Bulk Cloud Microphysics
18
Bruce Ingleby
Impact of a large reduction in the number of Russian radiosonde reports
19
Mohamed Jardak
The Met Office "Mean Pert" Scheme
20
Ivan Kasanický
Hybrid EnKS/4DVar assimilation in the WRF model
21
Tom Kent
Using an idealised fluid model to evaluate EnKF performance in the presence of convection
22
Nobumasa Komori
Ensemble-based Experimental Atmospheric Reanalysis using a Global Coupled Atmosphere-Ocean GCM
23
Amos Lawless
Allowing for model error in strong constraint 4D-Var
24
EUNJOO LEE
Data Assimilation for KMA local model with extended domain
25
Yi Li
A regional ocean data assimilation system
26
Guo-Yuan Lien
Radar data assimilation at sub-kilometer scales
27
Sujeong Lim
Case study for the typhoon in the KIAPS 3DVAR system
28
David Livings
The Probability of Weight Collapse in the Weighted Ensemble Kalman Filter
29
Rahul Mahajan
Hybrid 4DEnVar implementation for the NCEP GFS and future directions
30
Jan Mandel
Assimilation of MODIS and VIIRS satellite active fires detection in a coupled atmosphere-fire spread model
31
Andrew McRobert
Improving the LPJ-GUESS modelled carbon balance with a marginal particle filter data assimilation technique
32
Richard Menard
Chemical data assimilation using tuning of error covariances
33
Benjamin MENETRIER
Optimized localization and hybridization to filter ensemble-based covariances
34
Hind Oubanas
On the model error treatment in variational DA using the ’nuisance’ parameter approach
35
Olivier PANNEKOUCKE
Parametric Kalman filter for chemical transport models
36
Rémi Pellerej
Toward variational data assimilation for coupled models : first experiments on a diffusion problem
37
Luke Phillipson
Improving Short-Term Ocean Current Predictions with 4D-Var : Is There an Optimal Observational System?
38
Cesar Quilodran
Fast data assimilation for improved ocean weather forecasting over the North Brazil Current
39
Lei Ren
Forecasting and hindcasting of surface currents for Galway Bay using sequential data assimilation algorithms and High Frequency CODAR data
40
Yvonne Ruckstuhl
Parameter estimation using the ensemble Kalman filter approach
41
Ka Wai Siu
Applying the ETKF to inverse problems
42
Zbynek Sokol
Nowcasting of hailstorms by the COSMO NWP model
43
Matthias Sommer
An adaptive additive inflation scheme for Ensemble Kalman Filters
44
Olaf Stiller
A cross-validation method for observational data and its application to IASI cloud screening
45
Koji Terasaki
High-resolution global atmospheric data assimilation experiments with an ensemble Kalman filter
46
Chris Thomas
Using lagged covariances to improve our understanding of circulation in the Atlantic Ocean
47
Marie Turcicova
Modelling diagonal covariance matrix in spectral space
48
Martin Weissmann
Using MSG SEVIRI infrared satellite observations for convective-scale ensemble data assimilation
49
Dustan Wheatley
Real-time storm-scale data assimilation and forecasting experiments for NOAA’s Warn-on-Forecast Project
50
James While
Variational bias correction of Sea Surface Temperature observations in ocean data assimilation.
51
Ting-Chi Wu
Assimilating Satellite Precipitation Observations in Applications to Analysis and Predictions of Tropical Cyclones using the NOAA HWRF System