Introduction to Data Assimilation for Scientists and Engineers
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Random experiments for the estimation of α and P
Nine experiments with random draw of the measurements
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Introduction
Weather forecast
Three simple examples
Introduction
Standard formalism for data assimilation
Best estimation of clock time
Estimation of a hydraulic jump velocity
Estimation of tank parameters
Hyetogram and flood hydrogram
Tank model for coffee filtering
Temporal window
Choice of the matrices B and R
Twin experiments for the control of α
Random experiments for the estimation of α
Twin experiments for α and P
Random experiments for the estimation of α and P
Hands-on for tank parameters
Conclusion
Some classical methods
General conclusion
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