Premium
Data assimilation and parameter estimation via ensemble Kalman filter coupled with stochastic moment equations of transient groundwater flow
Author(s) -
Panzeri M.,
Riva M.,
Guadagnini A.,
Neuman S. P.
Publication year - 2013
Publication title -
water resources research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.863
H-Index - 217
eISSN - 1944-7973
pISSN - 0043-1397
DOI - 10.1002/wrcr.20113
Subject(s) - ensemble kalman filter , kalman filter , data assimilation , moment (physics) , fast kalman filter , extended kalman filter , moving horizon estimation , invariant extended kalman filter , monte carlo method , mathematics , computer science , control theory (sociology) , physics , statistics , meteorology , artificial intelligence , classical mechanics , control (management)
Key Points Embedding stochastic moment equations of flow in ensemble Kalman filter Avoiding need for Monte Carlo simulations in ensemble Kalman filter Avoiding need for batch inversion of Moment Equations