kasacr: Ka-Band Scanning ARM Cloud Radar

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 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 Ka-SACR uses range height indicator, or RHI, scans at numerous azimuths to obtain cloud volume data. Measurements collected with the Ka-SACR are copolar and cross-polar radar reflectivity, Doppler velocity, spectra width and spectra when not scanning, and linear depolarization ratio.

Measurements

Locations

  • Fixed
  • AMF1
  • AMF2
  • AMF3

Related Publications

2018

PZ, M Alvarado, C Chiu, S DeSzoeke, C Fairall, G Feingold, A Freedman, S Ghan, J Haywood, P Kollias, E Lewis, G McFarquhar, A McComiskey, D Mechem, T Onasch, J Redemann, D Romps, D Turner, H Wang, R Wood, S Yuter, and P Zhu. 2018. Layered Atlantic Smoke Interactions with Clouds (LASIC) Field Campaign Report. Ed. by Robert Stafford, ARM Climate Research Facility. DOE/SC-ARM-18-018.

Oue M, P Kollias, A Ryzhkov, and E Luke. 2018. "Toward Exploring the Synergy Between Cloud Radar Polarimetry and Doppler Spectral Analysis in Deep Cold Precipitating Systems in the Arctic." Journal of Geophysical Research: Atmospheres, 123(5), doi: 10.1002/2017JD027717.
Research Highlight

Schrom R and M Kumjian. 2018. "Bulk-Density Representations of Branched Planar Ice Crystals: Errors in the Polarimetric Radar Variables." Journal of Applied Meteorology and Climatology, 57(2), doi:10.1175/JAMC-D-17-0114.1.
Research Highlight

Falconi M, A von Lerber, D Ori, F Marzano, and D Moisseev. 2018. "Snowfall retrieval at X, Ka and W band: consistency of backscattering and microphysical properties using BAECC ground-based measurements." Atmospheric Measurement Techniques, 11(5), 10.5194/amt-11-3059-2018.

2017

Matrosov S, C Schmitt, M Maahn, and G de Boer. 2017. "Atmospheric Ice Particle Shape Estimates from Polarimetric Radar Measurements and In Situ Observations." Journal of Atmospheric and Oceanic Technology, 34(12), 10.1175/JTECH-D-17-0111.1.
Research Highlight

Korolev A, G McFarquhar, P Field, C Franklin, P Lawson, Z Wang, E Williams, S Abel, D Axisa, S Borrmann, J Crosier, J Fugal, M Kramer, U Lohmann, O Schlenczek, and M Wendisch. 2017. "Ice Formation and Evolution in Clouds and Precipitation: Measurement and Modeling Challenges. Chapter 5: Mixed-phase clouds: progress and challenges." Meteorological Monographs, 58, 10.1175/AMSMONOGRAPHS-D-17-0001.1.

Acquistapace C, S Kneifel, U Löhnert, P Kollias, M Maahn, and M Bauer-Pfundstein. 2017. "Optimizing observations of drizzle onset with millimeter-wavelength radars." Atmospheric Measurement Techniques, 10(5), 10.5194/amt-10-1783-2017.

Verlinde J, MJ Bartholomew, J Cherry, and M Ritsche. 2017. North Slope of Alaska Snow Intensive Operational Period Field Campaign Report. Ed. by Robert Stafford, ARM Climate Research Facility. DOE/SC-ARM-17-018.

Le M, V Chandrasekar, and S Biswas. 2017. "An Algorithm to Identify Surface Snowfall From GPM DPR Observations." IEEE Transactions on Geoscience and Remote Sensing, 55(7), 10.1109/TGRS.2017.2687420.

2016

Kourtchev I, C Giorio, A Manninen, E Wilson, B Mahon, J Aalto, M Kajos, D Venables, T Ruuskanen, J Levula, M Loponen, S Connors, N Harris, D Zhao, A Kiendler-Scharr, T Mentel, Y Rudich, M Hallquist, J Doussin, W Maenhaut, J Bäck, T Petäjä, J Wenger, M Kulmala, and M Kalberer. 2016. "Enhanced Volatile Organic Compounds emissions and organic aerosol mass increase the oligomer content of atmospheric aerosols." Scientific Reports, 6(1), 10.1038/srep35038.


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