The importance of state transformations when using the ensemble Kalman filter for unsaturated flow modeling: Dealing with strong nonlinearities

•We use EnKF together with a strongly nonlinear unsaturated zone model.•State variables and observations are different quantities (heads and water content).•Extreme state values (skewed distributions) could adversely impact the EnKF update.•Normal score transformation of state variables helps mitiga...

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Veröffentlicht in:	Advances in water resources 2015-12, Vol.86, p.354-365
Hauptverfasser:	Erdal, D., Rahman, M.A., Neuweiler, I.
Format:	Artikel
Sprache:	eng
Schlagworte:	Data assimilation EnKF Estimating Extreme values Hydrology Kalman filters Mathematical models Nonlinear models Nonlinearity Normal score transform State transformation Transforms Unsaturated Unsaturated flow
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