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Weather radar

About: Weather radar is a research topic. Over the lifetime, 5061 publications have been published within this topic receiving 72297 citations. The topic is also known as: weather surveillance radar & WSR.


Papers
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Book
01 Jan 1971
TL;DR: This article reviewed the principles of Doppler radar and emphasized the quantitative measurement of meteorological parameters, and illustrated the relation of radar data and images to atmospheric phenomena such as tornadoes, microbursts, waves, turbulence, density currents, hurricanes, and lightning.
Abstract: This book reviews the principles of Doppler radar and emphasizes the quantitative measurement of meteorological parameters. It illustrates the relation of Doppler radar data and images to atmospheric phenomena such as tornadoes, microbursts, waves, turbulence, density currents, hurricanes, and lightning. Geared toward upper-level undergraduates and graduate students, this text was written by two scientists at the National Severe Storms Laboratory in Norman, Oklahoma, a division of the National Oceanic and Atmospheric Administration. Topics include electromagnetic waves and propagation, weather signals and their Doppler spectra, weather signal processing, measurements of precipitation and turbulence, and observations of winds and storms as well as fair weather. Radar images and photographs of weather phenomena highlight the text.

2,178 citations

Book
01 Jan 1976
TL;DR: In this paper, the authors describe the thermodynamic properties of dry air water vapor and its thermodynamic effects Parcel buoyancy and atmospheric stability Mixing and convection Observed properties of clouds Formation of cloud droplets Droplet growth by condensation Initiation of rain in nonfreezing clouds Formation and growth of ice crystals Rain and snow Weather radar Precipitation processes Severe storm and hail Weather modification Numerical cloud models References Appendix Answers to selected problems Index
Abstract: Thermodynamics of dry air Water vapor and its thermodynamic effects Parcel buoyancy and atmospheric stability Mixing and convection Observed properties of clouds Formation of cloud droplets Droplet growth by condensation Initiation of rain in nonfreezing clouds Formation and growth of ice crystals Rain and snow Weather radar Precipitation processes Severe storm and hail Weather modification Numerical cloud models References Appendix Answers to selected problems Index

1,094 citations

Journal ArticleDOI
TL;DR: In this paper, a real-time automated identification, tracking, and short-term forecasting of thunderstorms based on volume-scan weather radar data is presented, with the emphasis on the concepts upon which the methodology is based.
Abstract: A methodology is presented for the real-time automated identification, tracking, and short-term forecasting of thunderstorms based on volume-scan weather radar data. The emphasis is on the concepts upon which the methodology is based. A “storm” is defined as a contiguous region exceeding thresholds for reflectivity and size. Storms defined in this way are identified at discrete time intervals. An optimization scheme is employed to match the storms at one time with those at the following time, with some geometric logic to deal with mergers and splits. The short-term forecast of both position and size is based on a weighted linear fit to the storm track history data. The performance of the detection and forecast were evaluated for the summer 1991 season, and the results are presented.

851 citations

Journal ArticleDOI
TL;DR: The Weather Surveillance Radar-1988 Doppler (WSR-88D) System is the product of the Next Generation Weather Radar (NEXRAD) program, a joint effort of the U.S. Departments of Commerce, Defense, and Transportation as mentioned in this paper.
Abstract: The Weather Surveillance Radar—1988 Doppler (WSR-88D) System is the product of the Next Generation Weather Radar (NEXRAD) program, a joint effort of the U.S. Departments of Commerce, Defense, and Transportation. WSR-88D Systems meet the common needs of the three agencies and are being installed across the United States and at selected overseas sites. These systems provide Doppler capabilities, increased receiver sensitivity, and real-time display of base and derived products that will enable forecasters to improve the detection of and give greater advanced warning of severe weather events. Many nonsevere weather and hydrological applications are also expected. WSR-88D Systems will be modified and enhanced during their operational life to meet changing requirements, technological advancements, and improved understanding of the application of these systems to real-time operations. The NEXRAD agencies established the Operational Support Facility (OSF) to provide centralized WSR-88D operator training...

500 citations

Journal ArticleDOI
TL;DR: This preliminary study has developed and implemented a fuzzy logic algorithm for hydrometeor particle identification that is simple and efficient enough to run in real time for operational use.
Abstract: Recent studies have shown the utility of polarimetric radar observables and derived fields for discrimination of hydrometeor particle types. Because the values of the radar observables that delineate different particle types overlap and are not sharply defined, the problem is well suited for a fuzzy logic approach. In this preliminary study the authors have developed and implemented a fuzzy logic algorithm for hydrometeor particle identification that is simple and efficient enough to run in real time for operational use. Although there are no in situ measurements available for this particle-type verification, the initial results are encouraging. Plans for further verification and optimization of the algorithm are described.

443 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202396
2022226
2021163
2020204
2019301
2018211