Articles | Volume 19, issue 4
https://doi.org/10.5194/nhess-19-907-2019
https://doi.org/10.5194/nhess-19-907-2019
Research article
 | 
18 Apr 2019
Research article |  | 18 Apr 2019

Impact of airborne cloud radar reflectivity data assimilation on kilometre-scale numerical weather prediction analyses and forecasts of heavy precipitation events

Mary Borderies, Olivier Caumont, Julien Delanoë, Véronique Ducrocq, Nadia Fourrié, and Pascal Marquet

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Cited articles

Aonashi, K. and Eito, H.: Displaced Ensemble Variational Assimilation Method to Incorporate Microwave Imager Brightness Temperatures into a Cloud-resolving Model, J. Meteorol. Soc. Jpn., 89, 175–194, https://doi.org/10.2151/jmsj.2011-301, 2011. a
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Borderies, M., Caumont, O., Augros, C., Bresson, É., Delanoë, J., Ducrocq, V., Fourrié, N., Le Bastard, T., and Nuret, M.: Simulation of W-band radar reflectivity for model validation and data assimilation, Q. J. Roy. Meteor. Soc., 144, 391–403, https://doi.org/10.1002/qj.3210, 2018. a, b, c, d, e, f
Borderies, M., Caumont, O., Delanoë, J., Ducrocq, V., and Fourrié, N.: Assimilation of wind data from airborne Doppler cloud-profiling radar in a kilometre-scale NWP system, Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2018-246, in review, 2018. a, b, c, d, e
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Short summary
The potential of W-band radar reflectivity to improve the quality of analyses and forecasts of heavy precipitation events in the Mediterranean area is investigated. The 1D + 3DVar assimilation method has been adapted to assimilate the W-band reflectivity in the Météo-France kilometre-scale NWP model AROME. The results suggest that the joint assimilation of W-band reflectivity and horizontal wind profiles lead to a slight improvement of moisture analyses and rainfall precipitation forecasts.
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