xsapr: X-Band Scanning ARM Precipitation Radar

The X-band Scanning ARM Precipitation Radar (X-SAPR) is an X-band dual-polarization Doppler weather radar. The X-SAPR operates in a simultaneous transmit and receive (STAR) mode, meaning that the transmit signal is split so that power is transmitted on both horizontal and vertical polarizations at the same time. The X-SAPR transmitter is a 200 kW (peak power) magnetron. The receiver is based upon the Vaisala RVP-900 and runs Vaisala’s IRIS software.

In addition to the first three Doppler moments (reflectivity, radial velocity, and spectra width), the X-SAPR also provides differential reflectivity, correlation coefficient, and specific differential phases. The dual-polarization variables enable estimates of rainfall rates and identification of precipitation types. At the Southern Great Plains site, three X-SAPRs surround the Central Facility, allowing the use of multi-Doppler velocity retrievals to estimate wind fields.

Measurements

Locations

  • Fixed
  • AMF1
  • AMF2
  • AMF3

Active Instrument Locations

Facility Name Instrument Start Date
Deer Creek, OK (Intermediate) 2010-12-17
Central Facility, Barrow AK 2011-06-24
Garber, OK (Intermediate) 2010-12-14
Billings, OK (Intermediate) 2010-12-14

2020

Matsui T, B Dolan, T Iguchi, S Rutledge, W Tao, and S Lang. 2020. "Polarimetric Radar Characteristics of Simulated and Observed Intense Convective Cores for a Midlatitude Continental and Tropical Maritime Environment." Journal of Hydrometeorology, , 10.1175/JHM-D-19-0185.1. ONLINE.

2019

Kollias P, N Bharadwaj, E Clothiaux, K Lamer, M Oue, J Hardin, B Isom, I Lindenmaier, A Matthews, E Luke, S Giangrande, K Johnson, S Collis, J Comstock, and J Mather. 2019. "The ARM Radar Network: At the Leading-edge of Cloud and Precipitation Observations." Bulletin of the American Meteorological Society, , 10.1175/BAMS-D-18-0288.1. ONLINE.

Jackson R, S Collis, T Lang, and C Potvin. 2019. PyDDA: A new Pythonic wind retrieval package. In 18th Annual Scientific Computing with Python Confe, .

Shapiro A, CK Potvin, JG Gebauer, AK Theisen, and NA Dahl. 2019. 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.

Lamer K, B Puigdomènech Treserras, Z ZHU, B Isom, N Bharadwaj, and P Kollias. 2019. "Characterization of Shallow Oceanic Precipitation using Profiling and Scanning Radar Observations at the Eastern North Atlantic ARM Observatory." Atmospheric Measurement Techniques, 12(9), 10.5194/amt-2019-160.

Schrom R and M Kumjian. 2019. "A probabilistic radar forward model for branched planar ice crystals." Journal of Applied Meteorology and Climatology, 58(6), 10.1175/JAMC-D-18-0204.1.

Wood R, G Zhang, N Hickmon, M Jensen, S Klein, R Leung, D Mechem, and P Zuidema. 2019. Atmospheric Radiation Measurement (ARM) User Facility ARM Mobile Facility Workshop Report. Ed. by Rolanda Jundt, Robert Stafford, U.S. Department of Energy Office of Science. DOE/SC-0197.

Oue M, P Kollias, A Shapiro, A Tatarevic, and T Matsui. 2019. "Investigation of observational error sources in multi-Doppler-radar three-dimensional variational vertical air motion retrievals." Atmospheric Measurement Techniques, 12(3), doi:10.5194/amt-12-1999-2019.
Research Highlight

2018

Mechem D and S Giangrande. 2018. "The Challenge of Identifying Controls on Cloud Properties and Precipitation Onset for Cumulus Congestus Sampled during MC3E." Journal of Geophysical Research: Atmospheres, 123(6), doi:10.1002/2017JD027457.
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


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