CIMA 09099
CENTRO DE INVESTIGACIONES DEL MAR Y LA ATMOSFERA
Unidad Ejecutora - UE
congresos y reuniones científicas
Título:
Optimization of stochastic parameters for model error representation with nested EnKFs
Autor/es:
SCHEFFLER, GUILLERMO; RUIZ JUAN JOSE; PULIDO, MANUEL
Lugar:
Florianopolis
Reunión:
Simposio; 7th International WMO Symposium on Data Assimilation; 2017
Institución organizadora:
World Meteorological Association
Resumen:
Model error can be represented by the incorporation of an additive stochastic process. It is not possible to infer the variance of such processes via state augmentation in the ensemble Kalman filter (EnKF). We propose a novel technique based on nested 4D-EnKFs to estimate model error parameters, which can also be extended to filter parameters like multiplicative covariance inflation or localization scale.
