Articles | Volume 18, issue 7
https://doi.org/10.5194/amt-18-1641-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-18-1641-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
11 Apr 2025
Research article |
| 11 Apr 2025
| 11 Apr 2025
Wet-radome attenuation in ARM cloud radars and its utilization in radar calibration using disdrometer measurements
Environmental and Climate Sciences Department, Brookhaven National Laboratory, Upton, New York, USA
Scott E. Giangrande
Environmental and Climate Sciences Department, Brookhaven National Laboratory, Upton, New York, USA
Michael P. Jensen
Environmental and Climate Sciences Department, Brookhaven National Laboratory, Upton, New York, USA
Karen Johnson
Environmental and Climate Sciences Department, Brookhaven National Laboratory, Upton, New York, USA
Christopher R. Williams
Colorado Center for Astrodynamics Research, University of Colorado Boulder, Colorado Center for Astrodynamics Research, Boulder, Colorado, USA
Jennifer M. Comstock
Pacific Northwest National Laboratory, Richland, Washington, USA
Ya-Chien Feng
Pacific Northwest National Laboratory, Richland, Washington, USA
Alyssa Matthews
Pacific Northwest National Laboratory, Richland, Washington, USA
Iosif A. Lindenmaier
Pacific Northwest National Laboratory, Richland, Washington, USA
Timothy G. Wendler
Pacific Northwest National Laboratory, Richland, Washington, USA
Marquette Rocque
Pacific Northwest National Laboratory, Richland, Washington, USA
Aifang Zhou
Environmental and Climate Sciences Department, Brookhaven National Laboratory, Upton, New York, USA
Environmental and Climate Sciences Department, Brookhaven National Laboratory, Upton, New York, USA
Edward Luke
Environmental and Climate Sciences Department, Brookhaven National Laboratory, Upton, New York, USA
Environmental and Climate Sciences Department, Brookhaven National Laboratory, Upton, New York, USA
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Zeen Zhu, Pavlos Kollias, Edward Luke, and Fan Yang
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Yun Lin, Jiwen Fan, Pengfei Li, Lai-yung Ruby Leung, Paul J. DeMott, Lexie Goldberger, Jennifer Comstock, Ying Liu, Jong-Hoon Jeong, and Jason Tomlinson
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Heike Kalesse-Los, Willi Schimmel, Edward Luke, and Patric Seifert
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Michael P. Jensen, Virendra P. Ghate, Dié Wang, Diana K. Apoznanski, Mary J. Bartholomew, Scott E. Giangrande, Karen L. Johnson, and Mandana M. Thieman
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Yang Wang, Guangjie Zheng, Michael P. Jensen, Daniel A. Knopf, Alexander Laskin, Alyssa A. Matthews, David Mechem, Fan Mei, Ryan Moffet, Arthur J. Sedlacek, John E. Shilling, Stephen Springston, Amy Sullivan, Jason Tomlinson, Daniel Veghte, Rodney Weber, Robert Wood, Maria A. Zawadowicz, and Jian Wang
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Christopher R. Williams, Karen L. Johnson, Scott E. Giangrande, Joseph C. Hardin, Ruşen Öktem, and David M. Romps
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Thiago S. Biscaro, Luiz A. T. Machado, Scott E. Giangrande, and Michael P. Jensen
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Robert Jackson, Scott Collis, Valentin Louf, Alain Protat, Die Wang, Scott Giangrande, Elizabeth J. Thompson, Brenda Dolan, and Scott W. Powell
Atmos. Meas. Tech., 14, 53–69, https://doi.org/10.5194/amt-14-53-2021, https://doi.org/10.5194/amt-14-53-2021, 2021
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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.
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Short summary
A relative calibration technique is developed for the cloud radar by monitoring the intercept of the wet-radome attenuation log-linear behavior as a function of rainfall rates in light and moderate rain conditions. This resulting reflectivity offset during the recent field campaign is compared favorably with the traditional disdrometer comparison near the rain onset, while it also demonstrates similar trends with respect to collocated and independently calibrated reference radars.
A relative calibration technique is developed for the cloud radar by monitoring the intercept of...
