Articles | Volume 10, issue 7
Atmos. Meas. Tech., 10, 2573–2594, 2017
https://doi.org/10.5194/amt-10-2573-2017
Atmos. Meas. Tech., 10, 2573–2594, 2017
https://doi.org/10.5194/amt-10-2573-2017
Research article
20 Jul 2017
Research article | 20 Jul 2017

Retrieval of the raindrop size distribution from polarimetric radar data using double-moment normalisation

Timothy H. Raupach and Alexis Berne

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Cited articles

Anagnostou, M. N., Anagnostou, E. N., Vulpiani, G., Montopoli, M., Marzano, F. S., and Vivekanandan, J.: Evaluation of X-band polarimetric-radar estimates of drop-size distributions from coincident S-band polarimetric estimates and measured raindrop spectra, IEEE T. Geosci. Remote, 46, 3067–3075, https://doi.org/10.1109/TGRS.2008.2000757, 2008.
Anagnostou, M. N., Kalogiros, J., Anagnostou, E. N., and Papadopoulos, A.: Experimental results on rainfall estimation in complex terrain with a mobile X-band polarimetric weather radar, Atmos. Res., 94, 579–595, https://doi.org/10.1016/j.atmosres.2009.07.009, 2009.
Anagnostou, M. N., Kalogiros, J., Anagnostou, E. N., Tarolli, M., Papadopoulos, A., and Borga, M.: Performance evaluation of high-resolution rainfall estimation by X-band dual-polarization radar for flash flood applications in mountainous basins, J. Hydrol., 394, 4–16, https://doi.org/10.1016/j.jhydrol.2010.06.026, 2010.
Anagnostou, M. N., Kalogiros, J., Marzano, F. S., Anagnostou, E. N., Montopoli, M., and Piccioti, E.: Performance evaluation of a new dual-polarization microphysical algorithm based on long-term X-band radar and disdrometer observations, J. Hydrometeorol., 14, 560–576, https://doi.org/10.1175/JHM-D-12-057.1, 2013.
Andsager, K., Beard, K. V., and Laird, N. F.: Laboratory measurements of axis ratios for large rain drops, J. Atmos. Sci., 56, 2673–2683, https://doi.org/10.1175/1520-0469(1999)056<2673:LMOARF>2.0.CO;2, 1999.
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Short summary
The raindrop size distribution (DSD) describes the microstructure of rain. It is required knowledge for weather radar applications and has broad applicability to studies of rainfall processes, including weather models and rain retrieval algorithms. We present a new technique for estimating the DSD from polarimetric radar data. The new method was tested in three different domains, and its performance was found to be similar to and often better than an an existing DSD retrieval method.