xsapr > X-Band Scanning ARM Precipitation RadarInstrument Type(s) > Baseline • Guest

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.

Locations

  • Fixed
  • AMF1
  • AMF2
  • AMF3

2020

Shapiro A, CK Potvin, JG Gebauer, AK Theisen, and NA Dahl. 2020. 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.

Oue M, A Tatarevic, P Kollias, D Wang, K Yu, and A Vogelmann. 2020. "The Cloud-resolving model Radar SIMulator (CR-SIM) Version 3.3: description and applications of a virtual observatory." Geoscientific Model Development, 13(4), 10.5194/gmd-13-1975-2020.
Research Highlight

Sherman Z, S Collis, and J Hemedinger. 2020. Mapped Moments to a Cartesian Grid (MMCG) Value-Added Product Report. Ed. by Robert Stafford, ARM user facility. DOE/SC-ARM-TR-243.

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, 21(3), 10.1175/JHM-D-19-0185.1.
Research Highlight

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, 101(5), 10.1175/BAMS-D-18-0288.1.

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, .

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.

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.

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


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