1. Objective Optimization of Weather Radar Networks for Low-Level Coverage Using a Genetic Algorithm.
- Author
-
Kurdzo, James M. and Palmer, Robert D.
- Subjects
RADAR meteorology ,WEATHER radar networks ,CLIMATOLOGY ,POPULATION density ,GENETIC algorithms ,MATHEMATICAL optimization - Abstract
The current Weather Surveillance Radar-1988 Doppler (WSR-88D) radar network is approaching 20 years of age, leading researchers to begin exploring new opportunities for a next-generation network in the United States. With a vast list of requirements for a new weather radar network, research has provided various approaches to the design and fabrication of such a network. Additionally, new weather radar networks in other countries, as well as networks on smaller scales, must balance a large number of variables in order to operate in the most effective way possible. To offer network designers an objective analysis tool for such decisions, a coverage optimization technique, utilizing a genetic algorithm with a focus on low-level coverage, is presented. Optimization is achieved using a variety of variables and methods, including the use of climatology, population density, and attenuation due to average precipitation conditions. A method to account for terrain blockage in mountainous regions is also presented. Various combinations of multifrequency radar networks are explored, and results are presented in the form of a coverage-based cost-benefit analysis, with considerations for total network lifetime cost. [ABSTRACT FROM AUTHOR]
- Published
- 2012
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