Name
Abstract | ||
|---|---|---|
We present a new type of the EnKF for data assimilation in spatial models
that uses diagonal approximation of the state covariance in the wavelet space
to achieve adaptive localization. The efficiency of the new method is
demonstrated on an example. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/IDAACS.2011.6072819 | IDAACS (2) |
Keywords | Field | DocType |
fft,coiflet,wavelet transform,orthogonal wavelets,diagonal approximation,enkf,- data assimilation,kalman filters,ensemble kalman filter,wavelet transforms,data assimilation,dynamic system,covariance matrix,data analysis,vectors | Diagonal,Topology,Mathematical optimization,Algorithm,Kalman filter,Data assimilation,Ensemble Kalman filter,Wavelet packet decomposition,Mathematics,Wavelet,Covariance | Conference |
Volume | Citations | PageRank |
2 | 0 | 0.34 |
References | Authors | |
2 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jonathan D. Beezley | 1 | 101 | 14.55 |
| Jan Mandel | 2 | 0 | 0.34 |
| Loren Cobb | 3 | 3 | 0.98 |