Articles | Volume 14, issue 1
Atmos. Meas. Tech., 14, 53–69, 2021
Atmos. Meas. Tech., 14, 53–69, 2021
Research article
04 Jan 2021
Research article | 04 Jan 2021

The development of rainfall retrievals from radar at Darwin

Robert Jackson et al.

Related authors

Phase correlation on the edge for estimating cloud motion
Bhupendra A. Raut, Scott Collis, Nicola Ferrier, Paytsar Muradyan, Rajesh Sankaran, Robert Jackson, Sean Shahkarami, Seongha Park, Dario Dematties, Yongho Kim, Joseph Swantek, Neal Conrad, Wolfgang Gerlach, Sergey Shemyakin, and Pete Beckman
Atmos. Meas. Tech. Discuss.,,, 2022
Preprint under review for AMT
Short summary
The Earth Model Column Collaboratory (EMC2) v1.1: an open-source ground-based lidar and radar instrument simulator and subcolumn generator for large-scale models
Israel Silber, Robert C. Jackson, Ann M. Fridlind, Andrew S. Ackerman, Scott Collis, Johannes Verlinde, and Jiachen Ding
Geosci. Model Dev., 15, 901–927,,, 2022
Short summary
Use of polarimetric radar measurements to constrain simulated convective cell evolution: a pilot study with Lagrangian tracking
Ann M. Fridlind, Marcus van Lier-Walqui, Scott Collis, Scott E. Giangrande, Robert C. Jackson, Xiaowen Li, Toshihisa Matsui, Richard Orville, Mark H. Picel, Daniel Rosenfeld, Alexander Ryzhkov, Richard Weitz, and Pengfei Zhang
Atmos. Meas. Tech., 12, 2979–3000,,, 2019
Short summary
A 17 year climatology of the macrophysical properties of convection in Darwin
Robert C. Jackson, Scott M. Collis, Valentin Louf, Alain Protat, and Leon Majewski
Atmos. Chem. Phys., 18, 17687–17704,,, 2018
Short summary
Observations of the microphysical evolution of convective clouds in the southwest of the United Kingdom
Robert Jackson, Jeffrey R. French, David C. Leon, David M. Plummer, Sonia Lasher-Trapp, Alan M. Blyth, and Alexei Korolev
Atmos. Chem. Phys., 18, 15329–15344,,, 2018
Short summary

Related subject area

Subject: Others (Wind, Precipitation, Temperature, etc.) | Technique: Remote Sensing | Topic: Data Processing and Information Retrieval
Hierarchical deconvolution for incoherent scatter radar data
Snizhana Ross, Arttu Arjas, Ilkka I. Virtanen, Mikko J. Sillanpää, Lassi Roininen, and Andreas Hauptmann
Atmos. Meas. Tech., 15, 3843–3857,,, 2022
Short summary
An alternative cloud index for estimating downwelling surface solar irradiance from various satellite imagers in the framework of a Heliosat-V method
Benoît Tournadre, Benoît Gschwind, Yves-Marie Saint-Drenan, Xuemei Chen, Rodrigo Amaro E Silva, and Philippe Blanc
Atmos. Meas. Tech., 15, 3683–3704,,, 2022
Short summary
ERUO: a spectral processing routine for the Micro Rain Radar PRO (MRR-PRO)
Alfonso Ferrone, Anne-Claire Billault-Roux, and Alexis Berne
Atmos. Meas. Tech., 15, 3569–3592,,, 2022
Short summary
On the derivation of zonal and meridional wind components from Aeolus horizontal line-of-sight wind
Isabell Krisch, Neil P. Hindley, Oliver Reitebuch, and Corwin J. Wright
Atmos. Meas. Tech., 15, 3465–3479,,, 2022
Short summary
Quantification of lightning-produced NOx over the Pyrenees and the Ebro Valley by using different TROPOMI-NO2 and cloud research products
Francisco J. Pérez-Invernón, Heidi Huntrieser, Thilo Erbertseder, Diego Loyola, Pieter Valks, Song Liu, Dale J. Allen, Kenneth E. Pickering, Eric J. Bucsela, Patrick Jöckel, Jos van Geffen, Henk Eskes, Sergio Soler, Francisco J. Gordillo-Vázquez, and Jeff Lapierre
Atmos. Meas. Tech., 15, 3329–3351,,, 2022
Short summary

Cited articles

Aydin, K. and Giridhar, V.: C-Band Dual-Polarization Radar Observables in Rain, J. Atmos. Ocean. Tech., 9, 383–390,<0383:CBDPRO>2.0.CO;2, 1992. a, b
ARM Data Center:, last access: December 2019. a
Brandes, E. A., Zhang, G., and Vivekanandan, J.: Experiments in Rainfall Estimation with a Polarimetric Radar in a Subtropical Environment, J. Appl. Meteorol., 41, 674–685,<0674:EIREWA>2.0.CO;2, 2002. a
Bringi, V. N. and Chandrasekar, V.: Radar rainfall estimation, in: Polarimetric Doppler Weather Radar, Cambridge University Press, Cambridge, UK, 534–569,, 2001. a, b, c
Bringi, V. N., Chandrasekar, V., Hubbert, J., Gorgucci, E., Randeu, W. L., and Schoenhuber, M.: Raindrop Size Distribution in Different Climatic Regimes from Disdrometer and Dual-Polarized Radar Analysis, J. Atmos. Sci., 60, 354–365,<0354:RSDIDC>2.0.CO;2, 2003. a, b, c, d, e, f
Short summary
About 4 years of 2D video disdrometer data in Darwin are used to develop and validate rainfall retrievals for tropical convection in C- and X-band radars in Darwin. Using blended techniques previously used for Colorado and Manus and Gan islands, with modified coefficients in each estimator, provided the most optimal results. Using multiple radar observables to develop a rainfall retrieval provided a greater advantage than using a single observable, including using specific attenuation.