Articles | Volume 12, issue 10
https://doi.org/10.5194/amt-12-5669-2019
https://doi.org/10.5194/amt-12-5669-2019
Research article
 | 
25 Oct 2019
Research article |  | 25 Oct 2019

Combined use of volume radar observations and high-resolution numerical weather predictions to estimate precipitation at the ground: methodology and proof of concept

Tony Le Bastard, Olivier Caumont, Nicolas Gaussiat, and Fatima Karbou

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Cited articles

Andrieu, H. and Creutin, J. D.: Identification of vertical profiles of radar reflectivity for hydrological applications using an inverse method, Part I: Formulation, J. Appl. Meteorol., 34, 225–239, 1995. a
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Augros, C., Caumont, O., Ducrocq, V., Gaussiat, N., and Tabary, P.: Comparisons between S-, C-and X-band polarimetric radar observations and convective-scale simulations of the HyMeX first special observing period, Q. J. Roy. Meteor. Soc., 142, 347–362, 2016. a, b
Augros, C., Caumont, O., Ducrocq, V., and Gaussiat, N.: Assimilation of radar dual-polarization observations in the AROME model, Q. J. Roy. Meteor. Soc., 144, 1352–1368, 2018. a, b
Bauer, H.-S., Schwitalla, T., Wulfmeyer, V., Bakhshaii, A., Ehret, U., Neuper, M., and Caumont, O.: Quantitative precipitation estimation based on high-resolution numerical weather prediction and data assimilation with WRF–a performance test, Tellus A, 67, 25047, https://doi.org/10.3402/tellusa.v67.25047, 2015. a
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Short summary
The estimation of surface rainfall from radars becomes less effective at long ranges or in mountainous regions where the radar beam is far from the ground. The method proposed in this paper investigates how vertical profiles simulated from high-resolution model can be used to predict the evolution of the precipitation below the radar beam. Our results show that this novel method leads to better results than the current operational methods that either use climatological or idealised profiles.