Ensemble Kalman filters are powerful tools to merge model dynamics and observation data. For large system models. they are known to diverge due to subsampling errors at small ensemble size and thus possible spurious correlations in forecast error covariances. The Local Ensemble Transform Kalman filter (LETKF) remedies these disadvantages by localization in observation space. https://edgeclothing.shop/product-category/mens-jackets/