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Introduction to data assimilation
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Lesson
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TU-DASE preamble
General Introduction
From physical processes to numerical modelling
Information dynamics: analysis and forecasting cycles
Introduction
Nonlinear filtering
General formalism
Kalman's Filter: I equations
Kalman's Filter: II covariance diagnosis and evolution
Variational formulation
Ensemble methods
Covariance modelling
Conclusion
Content:
Nonlinear filtering
General formalism
Kalman's Filter: I equations
Kalman's Filter: II covariance diagnosis and evolution
Variational formulation
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Olivier PANNEKOUCKE, submitted to
Open Learn. Res. Ed. INPT
0831
(2013) 6h
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