kazr: Ka ARM Zenith Radar

The Ka-band ARM Zenith Radar (KAZR) remotely probes the extent and composition of clouds at millimeter wavelengths. The KAZR is a zenith-pointing Doppler radar that operates at a frequency of approximately 35 GHz. The main purpose of this radar is to determine the first three Doppler moments (reflectivity, vertical velocity, and spectral width) at a range resolution of approximately 30 meters from near-ground to nearly 20 kilometers in altitude.

The KAZR replaces the millimeter-wavelength cloud radar (MMCR) and uses a new digital receiver that provides higher spatial and temporal resolution than the MMCR. In addition, spectral artifacts in the data are significantly reduced in the KAZR, allowing researchers to study cloud dynamics much more closely than with the MMCR.

KAZR data from the 2018–2019 Cloud, Aerosol, and Complex Terrain Interactions (CACTI) field campaign in Argentina are now available as b1-level products. Building on the original CACTI operational data, the b1-level products feature improved data quality resulting from extensive analyses and corrections. The data are cross-calibrated to a common point, datastreams are corrected for operational issues that occurred during the campaign, and several data quality masks and basic derived products are incorporated. For more information, read the CACTI radar b1-level processing report.

Measurements

Locations

  • Fixed
  • AMF1
  • AMF2
  • AMF3

2020

Wang D, M Jensen, J D'Iorio, G Jozef, S Giangrande, K Johnson, Z Luo, M Starzec, and G Mullendore. 2020. "An Observational Comparison of Level of Neutral Buoyancy and Level of Maximum Detrainment in Tropical Deep Convective Clouds." Journal of Geophysical Research: Atmospheres, , 10.1029/2020JD032637. ONLINE.

Battaglia A, P Kollias, R Dhillon, R Roy, S Tanelli, K Lamer, M Grecu, M Lebsock, D Watters, K MROZ, G Heymsfield, L Li, and K Furukawa. 2020. "Space‐borne cloud and precipitation radars: status, challenges and ways forward." Reviews of Geophysics, 58(3), e2019RG000686, 10.1029/2019RG000686.

Lamer K, P Kollias, A Battaglia, and S Preval. 2020. "Mind the gap - Part 1: Accurately locating warm marine boundary layer clouds and precipitation using spaceborne radars." Atmospheric Measurement Techniques, 13(5), 10.5194/amt-13-2363-2020.
Research Highlight

Shapiro A, CK Potvin, JG Gebauer, AK Theisen, and NA Dahl. 2020. Improving Vertical Velocity Retrievals from Doppler Radar Observations of Convection Field Campaign Report. Ed. by Robert Stafford, ARM user facility. DOE/SC-ARM-19-015.

Hardin JC, A Hunzinger, E Schuman, A Matthews, N Bharadwaj, K Johnson, and S Giangrande. 2020. CACTI Radar b1 Processing: Corrections, Calibrations, and Processing Report. Ed. by Robert Stafford, ARM user facility. DOE/SC-ARM-TR-244.

Zheng X, S Klein, V Ghate, S Santos, J McGibbon, P Caldwell, P Bogenschutz, W Lin, and M Cadeddu. 2020. "Assessment of Precipitating Marine Stratocumulus Clouds in the E3SMv1 Atmosphere Model: A Case Study from the ARM MAGIC Field Campaign." Monthly Weather Review, 148(8), 10.1175/MWR-D-19-0349.1.
Research Highlight

Oue M, A Tatarevic, P Kollias, D Wang, K Yu, and A Vogelmann. 2020. "The Cloud-resolving model Radar SIMulator (CR-SIM) Version 3.3: description and applications of a virtual observatory." Geoscientific Model Development, 13(4), 10.5194/gmd-13-1975-2020.
Research Highlight

Abel S, P Barrett, P Zuidema, J Zhang, M Christensen, F Peers, J Taylor, I Crawford, K Bower, and M Flynn. 2020. "Open cells exhibit weaker entrainment of free-tropospheric biomass burning aerosol into the south-east Atlantic boundary layer." Atmospheric Chemistry and Physics, 20(7), 10.5194/acp-20-4059-2020.

Wu P, X Dong, B Xi, J Tian, and D Ward. 2020. " Profiles of MBL cloud and drizzle microphysical properties retrieved from ground‐based observations and validated by aircraft measurements over the Azores ." Journal of Geophysical Research: Atmospheres, 125(9), e2019JD032205, 10.1029/2019JD032205.

Riley E, J Kleiss, L Riihimaki, C Long, L Berg, and E Kassianov. 2020. "Shallow cumuli cover and its uncertainties from ground-based lidar-radar data and sky images." Atmospheric Measurement Techniques, 13(4), 10.5194/amt-13-2099-2020.


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