Articles | Volume 23, issue 22
https://doi.org/10.5194/acp-23-14219-2023
https://doi.org/10.5194/acp-23-14219-2023
Research article
 | 
15 Nov 2023
Research article |  | 15 Nov 2023

Assimilation of 3D polarimetric microphysical retrievals in a convective-scale NWP system

Lucas Reimann, Clemens Simmer, and Silke Trömel

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Cited articles

Aksoy, A., Dowell, D. C., and Snyder, C.: A multicase comparative assessment of the ensemble Kalman filter for assimilation of radar observations. Part I: storm-scale analyses, Mon. Weather Rev., 137, 1805–1824, https://doi.org/10.1175/2008MWR2691.1, 2009. 
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Baldauf, M., Seifert, A., Förstner, J., Majewski, D., Raschendorfer, M., and Reinhardt, T.: Operational convective-scale numerical weather prediction with the COSMO model: description and sensitivities, Mon. Weather Rev., 139, 3887–3905, https://doi.org/10.1175/MWR-D-10-05013.1, 2011. 
Bick, T., Simmer, C., Trömel, S., Wapler, K., Hendricks Franssen, H.-J., Stephan, K., Blahak, U., Schraff, C., Reich, H., Zeng, Y., and Potthast, R.: Assimilation of 3D radar reflectivities with an ensemble Kalman filter on the convective scale, Q. J. Roy. Meteorol. Soc., 142, 1490–1504, https://doi.org/10.1002/qj.2751, 2016. 
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Short summary
Polarimetric radar observations were assimilated for the first time in a convective-scale numerical weather prediction system in Germany and their impact on short-term precipitation forecasts was evaluated. The assimilation was performed using microphysical retrievals of liquid and ice water content and yielded slightly improved deterministic 9 h precipitation forecasts for three intense summer precipitation cases with respect to the assimilation of radar reflectivity alone.
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