Articles | Volume 30, issue 1
https://doi.org/10.5194/npg-30-13-2023
https://doi.org/10.5194/npg-30-13-2023
Research article
 | 
09 Jan 2023
Research article |  | 09 Jan 2023

Guidance on how to improve vertical covariance localization based on a 1000-member ensemble

Tobias Necker, David Hinger, Philipp Johannes Griewank, Takemasa Miyoshi, and Martin Weissmann

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Cited articles

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Anderson, J. L.: Localization and Sampling Error Correction in Ensemble Kalman Filter Data Assimilation, Mon. Weather Rev., 140, 2359–2371, https://doi.org/10.1175/MWR-D-11-00013.1, 2012. a, b, c, d, e, f, g, h
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Short summary
This study investigates vertical localization based on a convection-permitting 1000-member ensemble simulation. We derive an empirical optimal localization (EOL) that minimizes sampling error in 40-member sub-sample correlations assuming 1000-member correlations as truth. The results will provide guidance for localization in convective-scale ensemble data assimilation systems.