On the Choice of Metric to Calibrate Time-Invariant Ensemble Kalman Filter Hyper-Parameters for Discharge Data Assimilation and Its Impact on Discharge Forecast Modelling

On the Choice of Metric to Calibrate Time-Invariant Ensemble Kalman Filter Hyper-Parameters for Discharge Data Assimilation and Its Impact on Discharge Forecast Modelling

An important step when using some data assimilation methods, such as the ensemble Kalman filter and its variants, is to calibrate its parameters. Also called hyper-parameters, these include the model and observation errors, which have previously been shown to have a strong impact on the performance...

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Bibliographic Details
Main Authors: Jean Bergeron, Robert Leconte, Mélanie Trudel, Sepehr Farhoodi
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:Hydrology
Subjects:
ensemble square root Kalman filter
ensemble Kalman filter
hydrologic modelling
hyper-parameter calibration
discharge forecasting
Online Access:https://www.mdpi.com/2306-5338/8/1/36

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