Articles | Volume 14, issue 6
https://doi.org/10.5194/amt-14-4425-2021
https://doi.org/10.5194/amt-14-4425-2021
Research article
 | 
16 Jun 2021
Research article |  | 16 Jun 2021

Identifying insects, clouds, and precipitation using vertically pointing polarimetric radar Doppler velocity spectra

Christopher R. Williams, Karen L. Johnson, Scott E. Giangrande, Joseph C. Hardin, Ruşen Öktem, and David M. Romps

Related authors

Wet-Radome Attenuation in ARM Cloud Radars and Its Utilization in Radar Calibration Using Disdrometer Measurements
Min Deng, Scott E. Giangrande, Michael P. Jensen, Karen Johnson, Christopher R. Williams, Jennifer M. Comstock, Ya-Chien Feng, Alyssa Matthews, Iosif A. Lindenmaier, Timothy G. Wendler, Marquette Rocque, Aifang Zhou, Zeen Zhu, Edward Luke, and Die Wang
EGUsphere, https://doi.org/10.5194/egusphere-2024-2615,https://doi.org/10.5194/egusphere-2024-2615, 2024
Short summary
Calibrating radar wind profiler reflectivity factor using surface disdrometer observations
Christopher R. Williams, Joshua Barrio, Paul E. Johnston, Paytsar Muradyan, and Scott E. Giangrande
Atmos. Meas. Tech., 16, 2381–2398, https://doi.org/10.5194/amt-16-2381-2023,https://doi.org/10.5194/amt-16-2381-2023, 2023
Short summary
A Lagrangian convective transport scheme including a simulation of the time air parcels spend in updrafts (LaConTra v1.0)
Ingo Wohltmann, Ralph Lehmann, Georg A. Gottwald, Karsten Peters, Alain Protat, Valentin Louf, Christopher Williams, Wuhu Feng, and Markus Rex
Geosci. Model Dev., 12, 4387–4407, https://doi.org/10.5194/gmd-12-4387-2019,https://doi.org/10.5194/gmd-12-4387-2019, 2019
Short summary
Estimation of liquid water path below the melting layer in stratiform precipitation systems using radar measurements during MC3E
Jingjing Tian, Xiquan Dong, Baike Xi, Christopher R. Williams, and Peng Wu
Atmos. Meas. Tech., 12, 3743–3759, https://doi.org/10.5194/amt-12-3743-2019,https://doi.org/10.5194/amt-12-3743-2019, 2019
Short summary
Clutter mitigation, multiple peaks, and high-order spectral moments in 35 GHz vertically pointing radar velocity spectra
Christopher R. Williams, Maximilian Maahn, Joseph C. Hardin, and Gijs de Boer
Atmos. Meas. Tech., 11, 4963–4980, https://doi.org/10.5194/amt-11-4963-2018,https://doi.org/10.5194/amt-11-4963-2018, 2018
Short summary

Related subject area

Subject: Clouds | Technique: Remote Sensing | Topic: Data Processing and Information Retrieval
Severe-hail detection with C-band dual-polarisation radars using convolutional neural networks
Vincent Forcadell, Clotilde Augros, Olivier Caumont, Kévin Dedieu, Maxandre Ouradou, Cloé David, Jordi Figueras i Ventura, Olivier Laurantin, and Hassan Al-Sakka
Atmos. Meas. Tech., 17, 6707–6734, https://doi.org/10.5194/amt-17-6707-2024,https://doi.org/10.5194/amt-17-6707-2024, 2024
Short summary
Retrieval of cloud fraction using machine learning algorithms based on FY-4A AGRI observations
Jinyi Xia and Li Guan
Atmos. Meas. Tech., 17, 6697–6706, https://doi.org/10.5194/amt-17-6697-2024,https://doi.org/10.5194/amt-17-6697-2024, 2024
Short summary
PEAKO and peakTree: tools for detecting and interpreting peaks in cloud radar Doppler spectra – capabilities and limitations
Teresa Vogl, Martin Radenz, Fabiola Ramelli, Rosa Gierens, and Heike Kalesse-Los
Atmos. Meas. Tech., 17, 6547–6568, https://doi.org/10.5194/amt-17-6547-2024,https://doi.org/10.5194/amt-17-6547-2024, 2024
Short summary
An advanced spatial coregistration of cloud properties for the atmospheric Sentinel missions: application to TROPOMI
Athina Argyrouli, Diego Loyola, Fabian Romahn, Ronny Lutz, Víctor Molina García, Pascal Hedelt, Klaus-Peter Heue, and Richard Siddans
Atmos. Meas. Tech., 17, 6345–6367, https://doi.org/10.5194/amt-17-6345-2024,https://doi.org/10.5194/amt-17-6345-2024, 2024
Short summary
Contrail altitude estimation using GOES-16 ABI data and deep learning
Vincent R. Meijer, Sebastian D. Eastham, Ian A. Waitz, and Steven R. H. Barrett
Atmos. Meas. Tech., 17, 6145–6162, https://doi.org/10.5194/amt-17-6145-2024,https://doi.org/10.5194/amt-17-6145-2024, 2024
Short summary

Cited articles

Ackerman, T. P. and Stokes, G. M.: The Atmospheric Radiation Measurement Program, Phys. Today, 56, 38–44, https://doi.org/10.1063/1.1554135, 2003. 
Atmospheric Radiation Measurement (ARM) user facility: Ceilometer (CEIL10M), updated hourly, 2018-01-01 to 2019-12-31, Southern Great Plains (SGP) Central Facility, Lamont, OK (C1), compiled by: Morris, V., Zhang, D., and Ermold, B., ARM Data Center [data set], https://doi.org/10.5439/1181954, 2010. 
Atmospheric Radiation Measurement (ARM) user facility: Ka ARM Zenith Radar (KAZRSPECCMASKMDCOPOL), updated hourly, 2018-01-01 to 2019-12-31, Southern Great Plains (SGP) Central Facility, Lamont, OK (C1), compiled by: Lindenmaier, I., Bharadwaj, N., Nelson, D., Isom, B., Hardin, J., Matthews, A., Wendler, T., and Castro, V., ARM Data Center [data set], https://doi.org/10.5439/1095603, 2011a. 
Atmospheric Radiation Measurement (ARM) user facility: Ka ARM Zenith Radar (KAZRSPECCMASKMDXPOL), updated hourly, 2018-01-01 to 2019-12-31, Southern Great Plains (SGP) Central Facility, Lamont, OK (C1), compiled by: Lindenmaier, I., Bharadwaj, N., Nelson, D., Isom, B., Hardin, J., Matthews, A., Wendler, T., and Castro, V., ARM Data Center [data set], https://doi.org/10.5439/1095604, 2011b. 
Atmospheric Radiation Measurement (ARM) user facility: Active Remote Sensing of CLouds (ARSCL) product using Ka-band ARM Zenith Radars (ARSCLKAZR1KOLLIAS), updated hourly, 2018-01-01 to 2019-12-31, Southern Great Plains (SGP) Central Facility, Lamont, OK (C1), compiled by: Johnson, K. and Scott, T., ARM Data Center, https://doi.org/10.5439/1393437, 2014. 
Download
Short summary
In addition to detecting clouds, vertically pointing cloud radars detect individual insects passing over head. If these insects are not identified and removed from raw observations, then radar-derived cloud properties will be contaminated. This work identifies clouds in radar observations due to their continuous and smooth structure in time, height, and velocity. Cloud masks are produced that identify cloud vertical structure that are free of insect contamination.