Thursday, 31 August 2023
Boundary Waters (Hyatt Regency Minneapolis)
During the TRacking Aerosol Convection Interactions ExpeRiment (TRACER) campaign, the Atmospheric Radiation Measurement (ARM) user facility of the U.S. Department of Energy Office of Science deployed cloud and precipitation radars to capture life cycles of convective cells in the polluted and humid Houston area. This work presents the data quality characteristics and calibrations of the C-band Scanning ARM Precipitation Radar (C-SAPR2), the X/Ka-band Scanning Cloud Radar (SACR) and the Ka-band ARM Zenith cloud Radar (KAZR) during the intensive observation periods in the summer of 2022.
Non-meteorological artifacts are frequently observed by both cloud and precipitation radars in TRACER. These artifact features include local ground clutters, interferences, and diurnal biological signals. These non-meteorological echoes are identified and masked first to help data users exclude the non-weather-related information.
Radar systematic biases of reflectivity are characterized and corrected through intercomparisons with disdrometers, WSR-88D, and collocated ARM radars. Systematic biases of differential reflectivity are obtained from the vertical pointing scans during light rain. Attenuations by precipitation and gases as well as the uncertainties caused by the wet radome effect are characterized for correction. This corrected dataset with data quality flag and a report documenting the calibration processes and data quality issues during TRACER will be available in the ARM Data Discovery.
Non-meteorological artifacts are frequently observed by both cloud and precipitation radars in TRACER. These artifact features include local ground clutters, interferences, and diurnal biological signals. These non-meteorological echoes are identified and masked first to help data users exclude the non-weather-related information.
Radar systematic biases of reflectivity are characterized and corrected through intercomparisons with disdrometers, WSR-88D, and collocated ARM radars. Systematic biases of differential reflectivity are obtained from the vertical pointing scans during light rain. Attenuations by precipitation and gases as well as the uncertainties caused by the wet radome effect are characterized for correction. This corrected dataset with data quality flag and a report documenting the calibration processes and data quality issues during TRACER will be available in the ARM Data Discovery.
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