Articles | Volume 13, issue 9
Atmos. Meas. Tech., 13, 4727–4750, 2020
Atmos. Meas. Tech., 13, 4727–4750, 2020

Research article 08 Sep 2020

Research article | 08 Sep 2020

Retrieval of lower-order moments of the drop size distribution using CSU-CHILL X-band polarimetric radar: a case study

Viswanathan Bringi et al.

Related authors

Raindrop shapes and fall velocities in “turbulent times”
Merhala Thurai, Michael Schönhuber, Günter Lammer, and Viswanathan Bringi
Adv. Sci. Res., 16, 95–101,,, 2019
Short summary
Raindrop fall velocities from an optical array probe and 2-D video disdrometer
Viswanathan Bringi, Merhala Thurai, and Darrel Baumgardner
Atmos. Meas. Tech., 11, 1377–1384,,, 2018
Short summary

Related subject area

Subject: Others (Wind, Precipitation, Temperature, etc.) | Technique: Remote Sensing | Topic: Validation and Intercomparisons
Validation of wind measurements of two mesosphere–stratosphere–troposphere radars in northern Sweden and in Antarctica
Evgenia Belova, Peter Voelger, Sheila Kirkwood, Susanna Hagelin, Magnus Lindskog, Heiner Körnich, Sourav Chatterjee, and Karathazhiyath Satheesan
Atmos. Meas. Tech., 14, 2813–2825,,, 2021
Short summary
Performance evaluation of multiple satellite rainfall products for Dhidhessa River Basin (DRB), Ethiopia
Gizachew Kabite Wedajo, Misgana Kebede Muleta, and Berhan Gessesse Awoke
Atmos. Meas. Tech., 14, 2299–2316,,, 2021
Short summary
A 2-year intercomparison of continuous-wave focusing wind lidar and tall mast wind measurements at Cabauw
Steven Knoop, Fred C. Bosveld, Marijn J. de Haij, and Arnoud Apituley
Atmos. Meas. Tech., 14, 2219–2235,,, 2021
Short summary
Using machine learning to model uncertainty for water vapor atmospheric motion vectors
Joaquim V. Teixeira, Hai Nguyen, Derek J. Posselt, Hui Su, and Longtao Wu
Atmos. Meas. Tech., 14, 1941–1957,,, 2021
Short summary
Validation of pure rotational Raman temperature data from the Raman Lidar for Meteorological Observations (RALMO) at Payerne
Giovanni Martucci, Francisco Navas-Guzmán, Ludovic Renaud, Gonzague Romanens, S. Mahagammulla Gamage, Maxime Hervo, Pierre Jeannet, and Alexander Haefele
Atmos. Meas. Tech., 14, 1333–1353,,, 2021
Short summary

Cited articles

Abel, S. J. and Boutle, I. A.: An improved representation of the raindrop size distribution for single-moment microphysics schemes, Q. J. Roy. Meteorol. Soc., 138, 2151–2162, 2012. a
Anagnostou, E. N., Krajewski, W. F., and Smith, J.: Uncertainty quantification of mean-areal radar-rainfall estimates, J. Atmos. Ocean. Technol., 16, 206–215, 1999. a
Anagnostou, E. N., Anagnostou, M. N., Krajewski, W. F., Kruger, A., and Miriovsky, B. J.: High-resolution rainfall estimation from X-band polarimetric radar measurements, J. Hydrometeorol., 5, 110–128, 2004. a
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, 2013. a, b, c
Barber, P. and Yeh, C.: Scattering of electromagnetic waves by arbitrarily shaped dielectric bodies, Appl. Opt., 14, 2864–2872, 1975. a
Short summary
The raindrop size distribution and its moments are fundamental in many areas, such as radar measurement of rainfall using polarimetry and numerical modeling of the microphysical processes of rain formation and evolution. We develop a technique which uses advanced radar measurements and complete drop size distributions using two collocated instruments to retrieve the lower-order moments such as total drop concentration and rain water content. We demonstrate a proof-of-concept using a case study.