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

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

doi:https://doi.org/10.5194/npg-30-13-2023

Articles | Volume 30, issue 1

https://doi.org/10.5194/npg-30-13-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/npg-30-13-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 30, issue 1

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

Data sets

Data and code from NPG paper on empirical optimal localization / vertical covariance localization. Tobias Necker https://doi.org/10.5281/zenodo.7254119

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.