Atmospheric Radiation Measurement Climate Research Facility US Department of Energy

csapr > C-Band Scanning ARM Precipitation RadarInstrument Type(s) > Baseline • Guest

The C-Band Scanning ARM Precipitation Radar is a dual-polarization Doppler weather radar that operates in a simultaneous transmit and receive (STAR) mode, splitting the transmit signal so that power is transmitted on both horizontal and vertical polarizations at the same time. The CSAPR can also transmit on a single polarization (horizontal or vertical) and measure linear depolarization ratio (LDR).

In addition to the first three Doppler moments (reflectivity, radial velocity, and spectra width), the CSAPR also provides differential reflectivity, correlation coefficient, and specific differential phase. The dual-polarization variables enable the provision of rainfall rate estimates and identification of precipitation types.

For the 2018–2019 Cloud, Aerosol, and Complex Terrain Interactions (CACTI) field campaign in Argentina, ARM deployed a second-generation CSAPR, known as CSAPR2. CACTI data from the CSAPR2 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.


  • Fixed
  • AMF1
  • AMF2
  • AMF3

Active Locations

Facility Name Start Date
Houston, TX; Supplemental Facility 2 2021-04-14


Veals P, A Varble, J Russell, J Hardin, and E Zipser. 2022. "Indications of a Decrease in the Depth of Deep Convective Cores with Increasing Aerosol Concentration during the CACTI Campaign." Journal of the Atmospheric Sciences, 79(3), 10.1175/JAS-D-21-0119.1. ONLINE.
Research Highlight

Silber I, R Jackson, A Fridlind, A Ackerman, S Collis, J Verlinde, and J Ding. 2022. "The Earth Model Column Collaboratory (EMC2) v1.1: an open-source ground-based lidar and radar instrument simulator and subcolumn generator for large-scale models." Geoscientific Model Development, 15(2), 10.5194/gmd-15-901-2022.
Research Highlight

Wang D, M Jensen, D Taylor, G Kowalski, M Hogan, B Wittemann, A Rakotoarivony, S Giangrande, and J Park. 2022. "Linking synoptic patterns to cloud properties and local circulations over southeastern Texas." Journal of Geophysical Research: Atmospheres, 127(5), e2021JD035920, 10.1029/2021JD035920.
Research Highlight

Jensen MP, JH Flynn, LM Judd, P Kollias, C Kuang, G McFarquhar, R Nadkarni, H Powers, and J Sullivan. 2022. "A Succession of Cloud, Precipitation, Aerosol and Air Quality Field Experiments in the Coastal Urban Environment." Bulletin of the American Meteorological Society, 103(2), 10.1175/BAMS-D-21-0104.1.


Geiss A and J Hardin. 2021. "Inpainting radar missing data regions with deep learning." Atmospheric Measurement Techniques, 14(12), 10.5194/amt-14-7729-2021.

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