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Advanced Data Assimilation Methods for Seas
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Second annual meeting
Program
Second ADAMS meeting
Presentations
S. Zhuk
,
Minimax observability and optimality conditions for incorrect linear equations in Hillbert space
.
D. Garaud
, V. Mallet.
Ensemble calibration for uncertainty estimation
.
K. Drifi
, V. Mallet.
Sequential classification of ozone peaks with ensemble methods
.
C. Mouton
, V. Mallet.
Verdandi: Data Assimilation Library
.
E.
Plotnikov
, G. Korotaev.
Image Data Base
v1
.
G. Korotaev,
I. Herlin, E. Huot, F-X. Le Dimet, E. Plotnikov,
Image processing algorithm based on variational data assimilation: current state and future prospects
.
E. Plotnikov
, G. Korotaev.
Data base of AVHRR cloud free image sequences and evaluated current velocity field
.
E. Huot
, I. Herlin, G. Korotaev:
Motion estimation using the variational data assimilation framework. Comparison between Simple and Extended Image Model
.
I. Souopgui
, O. Titaud, A. Vidard, F.-X. Le Dimet.
Images observation in data assimilation
.
O. Titaud
On the assimilation of High Resolution tracer images in mesoscale ocean models via Lagrangian Coherent Structures maps
.
A.
Kordzadze,
D. Demetrashvili
.
Some results of simulation of the Black Sea circulation processes
.
V. Agoshkov,
Study and solution of the variational data assimilation problems for the nonlinear sea hydrothermodynamics model
.
V. Agoshkov,
E. Parmuzin
, S. Lebedev.
Numerical solution of the variational assimilation problem using on-line SST data in the World Ocean
.
V. Agoshkov,
E. Botvinovsky
, M. Assovsky
.
Variational data assimilation problem for the study of the adequacy of a tidal dynamics model
.
F
.-X. Le Dimet,
V. Shutyaev
, I. Gejadze.
A posteriori error covariances in variational data assimilation
.
F.-X. Le Dimet
,
Control of Error in Variational Data Assimilation
.
First annual meeting
Presentations
A. Kordzadze
, D. Demetrashvili:
Mathematical models of hydro-thermodynamical and admixtures' dispersion processes in the Black Sea.
A. Mizyuk
:
Application of data assimilation to the reconstruction of the Black Sea climate and reanalysis of the Black Sea dynamics.
E. Plotnikov,
G. Korotaev
:
Retriving of the surface velocity from images of different wave bands.
E. Huot
, I. Herlin, G. Korotaev:
Motion estimation using the variational data assimilation framework. First results using an Extended Image Model.
A. Vidard
.
Presentation of NEMOVAR
.
V. Agoshkov
.
Methods for solving the inverse problems on sea surface heat flux and on vertical turbulent heat exchange coefficient.
V.Agoshkov,
E. Parmuzin
, S. Lebedev.
Numerical solution of the variational assimilation problem using on-line SST data.
V. Agoshkov,
E. Botvinovsky
, A. Gusev, S. Lebedev, E. Parmuzin, V. Shutyaev.
Variational data assimilation system INM-T1
.
F.-X. Le Dimet,
V. Shutyaev
.
Optimal solution error analysis in variational data assimilation
.
Reports and meetings minutes
Minutes of ADAMS meeting
- Sevastopol (April 4th-11th, 2008)
Report of V. Shyutaev visit
- Grenoble (May, 2008)
Minutes of ADAMS meeting
- Tbilisi (May 20-25th, 2008)
Scientific presentations made in the framework of ADAMS
Presentations of MHI Departments - April 2008
Hydrodynamic and ecological models for Black Sea operational forecasting
Multicomponent Nowcasting/Forecasting System of the Black Sea State
Satellite Drifter Technology
Modern Satellite Data for the Marine Processes Study
Conferences presentations - 2008
On optimal solution error in the variational data assimilation problem for the ocean thermodynamics model
Computing a posteriori covariance in variational DA
Last update: 28.10.2013