* Implemented ZonKF algorithm: Augmented Kalman filter with zonal and non-zonal coefficients of U separately treated. This algorithm has two 'flavours' which be can changed by setting `coupled_zonals` in the configuration file:
*`coupled`: The zonal and non-zonal coefficients are coupled through the forecast and by cross-covariances in the analyse.
*`isolated`: The zonal and non-zonal coefficients are isolated. There is no forecast of the zonal coefficients nor cross-covariances with the non-zonal coefficients in the analyse.
While the algorithms are working, their scientific development is still a work in progress.
* Added the possibility to use COVOBS.x2 as observations
* Added the possiblity to use modelisation errors through `obs_mod_errors_dir` member in configuration file.
**Fixes:**
* Variance of COVOBS is now computed on *all* realisations
1.1.3 - 2019-10-14
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Fixed Kalman gain matrix expression in AugKF documentation
* Implemented ZonKF algorithm: Augmented Kalman filter with zonal and non-zonal coefficients of U separately treated. This algorithm has two 'flavours' which be can changed by setting `coupled_zonals` in the configuration file:
*`coupled`: The zonal and non-zonal coefficients are coupled through the forecast and by cross-covariances in the analyse.
*`isolated`: The zonal and non-zonal coefficients are isolated. There is no forecast of the zonal coefficients nor cross-covariances with the non-zonal coefficients in the analyse.
While the algorithms are working, their scientific development is still a work in progress.
* Added the possibility to use COVOBS.x2 as observations
* Added the possiblity to use modelisation errors through `obs_mod_errors_dir` member in configuration file.
**Fixes:**
* Variance of COVOBS is now computed on *all* realisations
