[HTML][HTML] Balance and ensemble Kalman filter localization techniques
Abstract In ensemble Kalman filter (EnKF) data assimilation, localization modifies the error
covariance matrices to suppress the influence of distant observations, removing spurious …
covariance matrices to suppress the influence of distant observations, removing spurious …
[HTML][HTML] On domain localization in ensemble-based Kalman filter algorithms
Ensemble Kalman filter methods are typically used in combination with one of two
localization techniques. One technique is covariance localization, or direct forecast error …
localization techniques. One technique is covariance localization, or direct forecast error …
A regulated localization scheme for ensemble‐based Kalman filters
Localization is an essential element of ensemble‐based Kalman filters in large‐scale
systems. Two localization methods are commonly used: covariance localization and domain …
systems. Two localization methods are commonly used: covariance localization and domain …
[HTML][HTML] Localization and sampling error correction in ensemble Kalman filter data assimilation
JL Anderson - Monthly Weather Review, 2012 - journals.ametsoc.org
Localization and Sampling Error Correction in Ensemble Kalman Filter Data Assimilation in:
Monthly Weather Review Volume 140 Issue 7 (2012) Jump to Content Jump to Main Navigation …
Monthly Weather Review Volume 140 Issue 7 (2012) Jump to Content Jump to Main Navigation …
A localization technique for ensemble Kalman filters
K Bergemann, S Reich - … of the Royal Meteorological Society: A …, 2010 - Wiley Online Library
Ensemble Kalman filter techniques are widely used to assimilate observations into
dynamical models. The phase‐space dimension is typically much larger than the number of …
dynamical models. The phase‐space dimension is typically much larger than the number of …
[HTML][HTML] Boundary conditions for limited-area ensemble Kalman filters
RD Torn, GJ Hakim, C Snyder - Monthly weather review, 2006 - journals.ametsoc.org
One aspect of implementing a limited-area ensemble Kalman filter (EnKF) involves the
specification of a suitable ensemble of lateral boundary conditions. Two classes of methods …
specification of a suitable ensemble of lateral boundary conditions. Two classes of methods …
Weight interpolation for efficient data assimilation with the local ensemble transform Kalman filter
We have investigated a method to substantially reduce the analysis computations within the
Local Ensemble Transform Kalman Filter (LETKF) framework. Instead of computing the …
Local Ensemble Transform Kalman Filter (LETKF) framework. Instead of computing the …
Accelerating the spin‐up of ensemble Kalman filtering
Abstract Ensemble Kalman Filter (EnKF) may have a longer spin‐up time to reach its
asymptotic level of accuracy than the corresponding spin‐up time in variational methods (3D …
asymptotic level of accuracy than the corresponding spin‐up time in variational methods (3D …
Local ensemble Kalman filtering in the presence of model bias
We modify the local ensemble Kalman filter (LEKF) to incorporate the effect of forecast
model bias. The method is based on augmentation of the atmospheric state by estimates of …
model bias. The method is based on augmentation of the atmospheric state by estimates of …
[HTML][HTML] Tests of an ensemble Kalman filter for mesoscale and regional-scale data assimilation. Part II: Imperfect model experiments
Tests of an Ensemble Kalman Filter for Mesoscale and Regional-Scale Data Assimilation. Part
II: Imperfect Model Experiments in: Monthly Weather Review Volume 135 Issue 4 (2007) Jump …
II: Imperfect Model Experiments in: Monthly Weather Review Volume 135 Issue 4 (2007) Jump …