Improving Vertical Velocity Retrievals from Doppler Radar Observations of Convection Field Campaign Report
- University of Oklahoma
- NOAA
- Argonne National Lab. (ANL), Argonne, IL (United States)
- NOAA; University of Oklahoma
Our National Science Foundation (NSF)-supported project was designed to address two longstanding challenges in radar-, meso-scale-, and hydro-meteorology: (1) mitigating the effects of non-simultaneous data collection on radar data-based analysis products, and (2) improving estimates of the vertical velocity (w) field in dual-Doppler wind analyses. Errors associated with the non-simultaneous data collection introduce errors in all Doppler analyses, and impose a lower limit on the time and space scales that can be studied. For many investigations the w field is of prime meteorological importance, but it is the velocity component most difficult to accurately synthesize from dual-Doppler wind observations. Our original plan proposed for short field campaigns at the Atmospheric Radiation Measurement (ARM) user facility Southern Great Plains (SGP) Central Facility (CF) was to use multiple-Doppler radial wind data from the scanning ARM X-band radars to test and refine our multiple-Doppler wind analysis algorithms. An important part of our plan was the use of high-temporal-resolution w observations to verify the analyses. In our original plan, these data would be obtained from Doppler lidars, 915 MhZ profilers and Ka-band ARM Zenith Radar (KAZR) zenith-pointing radars at the CF and nearby ARM facilities in north-central Oklahoma. Using the data, we planned to test the utility of new spatially variable advection-correction/analysis procedures, the utility of the anelastic vertical vorticity equation as a constraint in variational multiple-Doppler wind analysis, and other Doppler wind analysis procedures. Idealized tests with numerically-simulated supercell data had suggested the vorticity constraint could help improve the vertical velocity field if the data were gathered with sufficiently high temporal resolution (e.g., volume scans completed in 30-60 sec), so we were interested in exploring the use of rapid-scan data from the X-band Scanning ARM Precipitation Radars (XSAPRs).
- Research Organization:
- DOE Office of Science Atmospheric Radiation Measurement (ARM) Program (United States)
- Sponsoring Organization:
- USDOE Office of Science (SC), Biological and Environmental Research (BER)
- Contributing Organization:
- NOAA, National Science Foundation, University of Oklahoma
- DOE Contract Number:
- ACO5-7601830
- OSTI ID:
- 1526004
- Report Number(s):
- DOE/SC-ARM-19-015
- Country of Publication:
- United States
- Language:
- English
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