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 km 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.

Measurements

Locations

  • Fixed
  • AMF1
  • AMF2
  • AMF3

Related Publications

2017

Pennypacker S and R Wood. 2017. "A Case Study in Low Aerosol Number Concentrations Over the Eastern North Atlantic: Implications for Pristine Conditions in the Remote Marine Boundary Layer." Journal of Geophysical Research – Atmospheres, , doi:10.1002/2017JD027493. ONLINE.

Hoover K, J Mecikalski, TJ Lang, X Li, T Castillo, and T Chronis. 2017. "Use of an End-to-End-Simulator to analyze CYGNSS." Journal of Atmospheric and Oceanic Technology, , 10.1175/JTECH-D-17-0036.1. ONLINE.

Johnson K, T Toto, and S Giangrande. 2017. Ka-Band ARM Zenith Radar Corrections Value-Added Product. Ed. by Robert Stafford, ARM Climate Research Facility. DOE/SC-ARM-TR-203.

Arulraj M and A Barros. 2017. "Shallow Precipitation Detection and Classification Using Multifrequency Radar Observations and Model Simulations." Journal of Atmospheric and Oceanic Technology, 34(9), 10.1175/JTECH-D-17-0060.1.

Cooper SJ, NB Wood, and TS L'Ecuyer. 2017. "A variational technique to estimate snowfall rate from coincident radar, snowflake, and fall-speed observations." Atmospheric Measurement Techniques, 10(7), 10.5194/amt-10-2557-2017.

Wainwright C, P Stepanian, D Reynolds, and A Reynolds. 2017. "The movement of small insects in the convective boundary layer: linking patterns to processes." Scientific Reports, 7(1), 10.1038/s41598-017-04503-0.

Riihimaki L, J Comstock, E Luke, T Thorsen, and Q Fu. 2017. "A case study of microphysical structures and hydrometeor phase in convection using radar Doppler spectra at Darwin, Australia." Geophysical Research Letters, 44(14), 10.1002/2017GL074187.

McGibbon J and CS Bretherton. 2017. "Skill of ship-following large-eddy simulations in reproducing MAGIC observations across the northeast Pacific stratocumulus to cumulus transition region." Journal of Advances in Modeling Earth Systems, 9(2), 10.1002/2017MS000924.

Fridlind A, X Li, D Wu, M van Lier-Walqui, A Ackerman, W Tao, G McFarquhar, W Wu, X Dong, J Wang, A Ryzhkov, P Zhang, M Poellot, A Neumann, and J Tomlinson. 2017. "Derivation of aerosol profiles for MC3E convection studies and use in simulations of the 20 May squall line case." Atmospheric Chemistry and Physics, 17(9), 10.5194/acp-17-5947-2017.

ZHU Z, C ZHENG, J GE, J HUANG, and Q FU. 2017. "Cloud macrophysical properties from KAZR at the SACOL." Chinese Science Bulletin, 62(8), 10.1360/N972016-00857.


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