Articles | Volume 32, issue 4
https://doi.org/10.5194/npg-32-471-2025
https://doi.org/10.5194/npg-32-471-2025
Research article
 | 
24 Nov 2025
Research article |  | 24 Nov 2025

On process-oriented conditional targeted covariance inflation (TCI) for 3D-volume radar data assimilation

Klaus Vobig, Roland Potthast, and Klaus Stephan

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Short summary
We present a novel approach to targeted covariance inflation (TCI) which aims to improve the assimilation of 3D radar reflectivity and, possibly, short-term forecasts of reflectivity and precipitation. Using an operational numerical weather prediction framework, our numerical results show that TCI makes the system accurately generate new reflectivity cells and significantly improves the fractional skill score of forecasts over lead times of up to 6 h by up to 10 %.
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