Applying a new integrated mass-flux adjustment filter in rapid update cycling of convective-scale data assimilation for the COSMO model (v5.07)
<p>A new integrated mass-flux adjustment filter is introduced, which uses the analyzed integrated mass-flux divergence field to correct the analyzed wind field. The filter has been examined in twin experiments with rapid update cycling using an idealized setup for convective-scale radar data a...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2021-03-01
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Series: | Geoscientific Model Development |
Online Access: | https://gmd.copernicus.org/articles/14/1295/2021/gmd-14-1295-2021.pdf |
Summary: | <p>A new integrated mass-flux adjustment filter is introduced, which uses the analyzed integrated mass-flux divergence field to correct the
analyzed wind field. The filter has been examined in twin experiments with rapid update cycling
using an idealized setup for convective-scale radar data assimilation. It is found that the new filter slightly reduces 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 the high surface pressure tendency, and it thus results in more
dynamically balanced analysis states.
For the ensuing 3 h forecasts, the experiment that employs the filter becomes more skillful after 1 h.
These preliminary results show that the filter is a promising tool to alleviate the imbalance problem caused by data assimilation, especially for convective-scale
applications.</p> |
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ISSN: | 1991-959X 1991-9603 |