Preprints
https://doi.org/10.5194/gmd-2020-299
https://doi.org/10.5194/gmd-2020-299

Submitted as: development and technical paper 12 Nov 2020

Submitted as: development and technical paper | 12 Nov 2020

Review status: a revised version of this preprint was accepted for the journal GMD and is expected to appear here in due course.

Applying a new integrated mass-flux adjustment filter in rapid update cycling of convective-scale data assimilation for the COSMO-model (v5.07)

Yuefei Zeng1, Alberto de Lozar2, Tijana Janjic1, and Axel Seifert2 Yuefei Zeng et al.
  • 1Meteorologisches Institut, Ludwig-Maximilians-Universität (LMU) München, Munich, Germany
  • 2Deutscher Wetterdienst, Offenbach, Germany

Abstract. A new integrated mass-flux adjustment filter that uses the analyzed integrated mass-flux divergence field to correct the analyzed wind field has been introduced in this work. The filter has been examined by twin experiments with rapid update cycling, using an idealized setup for convective-scale radar data assimilation. It is found that the new filter slightly reduce the accuracy of background and analysis states, however, it preserves the main structure of cold pools and primary mesocyclone properties of supercells. More importantly, it considerably diminishes spurious mass-flux divergence and successfully suppresses the increase of the surface pressure tendency in analysis. For the ensuing 3-h forecasts, the one that employes the filter becomes more skillful after one hour. These preliminary results show that the filter is a promising tool to improve the imbalance problem caused by the data assimilation.

Yuefei Zeng et al.

 
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Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

Yuefei Zeng et al.

Yuefei Zeng et al.

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Short summary
A new integrated mass-flux adjustment filter is introduced and examined by an idealized setup for convective-scale radar data assimilation. It is found that the new filter slightly reduce the accuracy of background and analysis states, however, it preserves the main structure of cold pools and primary mesocyclone properties of supercells. More importantly, it considerably diminishes successfully imbalance in the analysis and improves the forecasts.