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A Comparison of Scan Speedup Strategies and Their Effect on Rapid-Scan Weather Radar Data Quality
- Source :
- Journal of Atmospheric and Oceanic Technology. 37:1955-1972
- Publication Year :
- 2020
- Publisher :
- American Meteorological Society, 2020.
-
Abstract
- As the existing NEXRAD network nears the end of its life cycle, intense study and planning are underway to design a viable replacement system. Ideally, such a system would offer improved temporal resolution compared to NEXRAD, without a loss in data quality. In this study, scan speedup techniques—such as beam multiplexing (BMX) and radar imaging—are tested to assess their viability in obtaining high-quality rapid updates for a simulated long-range weather radar. The results of this study—which uses a Weather Research and Forecasting (WRF) Model–simulated supercell case—show that BMX generally improves data quality for a given scan time or can provide a speedup factor of 1.69–2.85 compared to NEXRAD while maintaining the same level of data quality. Additionally, radar imaging is shown to improve data quality and/or decrease scan time when selectively used; however, deleterious effects are observed when imaging is used in regions with sharp reflectivity gradients parallel to the beam spoiling direction. Consideration must be given to the subsequent loss of sensitivity and beam broadening. Finally, imaging is shown to have an effect on the radar-derived mesocyclone strength (ΔV) of a simulated supercell. Because BMX and radar imaging are most easily achieved with an all-digital phased array radar (PAR), these results make a strong argument for the use of all-digital PAR for high-resolution weather observations. It is believed that the results from this study can inform decisions about possible scanning strategies and design of a NEXRAD replacement system for high-resolution weather radar data.
- Subjects :
- Atmospheric Science
Rapid scan
Speedup
010504 meteorology & atmospheric sciences
0207 environmental engineering
Ocean Engineering
02 engineering and technology
01 natural sciences
law.invention
law
Data quality
Environmental science
Weather radar
020701 environmental engineering
0105 earth and related environmental sciences
Remote sensing
Subjects
Details
- ISSN :
- 15200426 and 07390572
- Volume :
- 37
- Database :
- OpenAIRE
- Journal :
- Journal of Atmospheric and Oceanic Technology
- Accession number :
- edsair.doi...........10b484c4246f8b3ecc3d3a7ce808ebe0