The Error Covariance Matrix Inflation in Ensemble Kalman Filter
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InTech
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http://www.intechopen.com/download/pdf/58052
Reference44 articles.
1. Miller RN, Ghil M, Gauthiez F. Advanced data assimilation in strongly nonlinear dynamical systems. Journal of the Atmospheric Sciences. 1994;51:1037-1056
2. Ravazzani G et al. Potentialities of ensemble strategies for flood forecasting over the Milano urban area. Journal of Hydrology. 2016;539:237-253
3. Talagrand O. Assimilation of observations, an introduction. Journal of the Meteorological Society of Japan. 1997;75:191-209
4. Wang Y et al. Improving precipitation forecast with hybrid 3DVar and time-lagged ensembles in a heavy rainfall event. Atmospheric Research. 2017;183:1-16
5. Reichle RH. Data assimilation methods in the earth sciences. Advances in Water Resources. 2008;31:1411-1418
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