Atmospheric Radiation Measurement Climate Research Facility US Department of Energy

kasacr > Ka-Band Scanning ARM Cloud RadarInstrument Type(s) > Baseline • Evaluation • Guest

The Ka-Band Scanning ARM Cloud Radar (KASACR) records cloud properties.

ARM’s scanning cloud radars are dual-frequency, dual-polarization Doppler radars mounted on a common scanning pedestal. Each pedestal includes a Ka-band radar (2kW peak power) and the deployment location determines whether the second radar is a W-band (1.7 kW peak power) or an X-band (20 kW peak power).

Beamwidths for Ka-bands paired with W-bands are roughly matched at 0.3 degrees. The X-band beamwidth is approximately 1 degree. Due to the narrow antenna beamwidth, ARM’s scanning cloud radars use scanning strategies unlike typical weather radars. Rather than focusing on plan position indicator, or PPI, scans, the KASACR uses range height indicator, or RHI, scans at numerous azimuths to obtain cloud volume data. Measurements collected with the KASACR are copolar and cross-polar radar reflectivity, Doppler velocity, spectra width and spectra when not scanning, and linear depolarization ratio.

KASACR 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.

Purpose

This product includes netCDF files that contain time-height fields of retrieved in-cloud vertical wind velocity and turbulent dissipation rate, both retrieved primarily from vertically-pointing, Ka-band cloud radar measurements. Files are available for manually-selected, stratiform, mixed-phase cloud cases observed at the North Slope of Alaska (NSA) site during periods covering the Mixed-Phase Arctic Cloud Experiment (MPACE, late September through early November 2004) and the Indirect and Semi-Direct Aerosol Campaign (ISDAC, April-early May 2008). These time periods will be expanded in a future submission.

Locations

  • Fixed
  • AMF1
  • AMF2
  • AMF3

Active Locations

Facility Name Start Date
Graciosa Island, Azores, Portugal 2017-06-14

Data Details

Developed By Matthew Shupe
Contact Rachael Isphording
Resource(s) Data Directory
ReadMe
Data format netCDF
Site NSA
Content time range 3 April 2011 - 25 January 2023
Attribute accuracy No formal attribute accuracy tests were conducted
Positional accuracy No formal positional accuracy tests were conducted
Data Consistency and Completeness Data set is considered complete for the information presented, as described in the abstract.Users are advised to read the rest of the metadata record carefully for addtional details.
Access Restriction No access constraints are associated with this data.
Use Restriction No use constraints are associated with this data.
Citations Shupe, M.D., 2007: A ground-based multiple remote-sensor cloud phase classifier. Geophysical Research Letters, 34, L22809, doi: 10.1029/2007GL031008.

Shupe, M.D., P. Kollias, M. Poellot, and E. Eloranta, 2008: On deriving vertical air motions from cloud radar Doppler spectra. Journal of Atmospheric and Oceanic Technology, 25, 547-557.

Shupe, M. D., I. Brooks, and G.Canut, 2012: Evaluation of turbulent dissipation rate retrievals from Doppler cloud radar. Atmospheric Measurement Techniques, 5, 1375-1385, doi:10.5194/amt-5-1375-2012.

2022

Stroeve J, V Nandan, R Willatt, R Dadic, P Rostosky, M Gallagher, R Mallett, A Barrett, S Hendricks, R Tonboe, M McCrystall, M Serreze, L Thielke, G Spreen, T Newman, J Yackel, R Ricker, M Tsamados, A Macfarlane, H Hannula, and M Schneebeli. 2022. "Rain on snow (ROS) understudied in sea ice remote sensing: a multi-sensor analysis of ROS during MOSAiC (Multidisciplinary drifting Observatory for the Study of Arctic Climate)." The Cryosphere, 16(10), 10.5194/tc-16-4223-2022.

Theisen A, Y Feng, A Matthews, K Johnson, E Schuman, A Lindenmaier, T Wendler, V Castro, S Giangrande, S Collis, D Zhang, J Mather, and J Comstock. 2022. ARM FY2023 Radar Plan. Ed. by Robert Stafford, ARM user facility. DOE/SC-ARM-TR-282. 10.2172/1888480.

TRIDON F, I Silber, A Battaglia, S Kneifel, A Fridlind, P Kalogeras, and R Dhillon. 2022. "Highly supercooled riming and unusual triple-frequency radar signatures over McMurdo Station, Antarctica." Atmospheric Chemistry and Physics, 22(18), 10.5194/acp-22-12467-2022.

Do P, K Chung, P Lin, C Ke, and S Ellis. 2022. "Assimilating Retrieved Water Vapor and Radar Data from NCAR S-PolKa: Performance and Validation Using Real Cases." Monthly Weather Review, 150(5), 10.1175/MWR-D-21-0292.1.

Geerts B, SE Giangrande, GM McFarquhar, L Xue, SJ Abel, JM Comstock, S Crewell, PJ DeMott, K Ebell, P Field, T Hill, A Hunzinger, MP Jensen, KL Johnson, T Juliano, P Kollias, B Kosovic, C Lackner, E Luke, C Lüpkes, AA Matthews, R Neggers, M Ovchinnikov, H Powers, MD Shupe, T Spengler, B Swanson, M Tjernström, AK Theisen, N Wales, M Wendisch, and P Wu. 2022. "The COMBLE campaign: a study of marine boundary-layer clouds in Arctic cold-air outbreaks." Bulletin of the American Meteorological Society, 103(5), 10.1175/BAMS-D-21-0044.1.


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