Translator Disclaimer
8 November 2012 Urban flash flood applications of high-resolution rainfall estimation by X-band dual-polarization radar network
Author Affiliations +
Flooding in general, especially the urban flash flooding is one of the most destructive nature hazards. Rainfall estimates from radar network are often used as input to various hydrological models for further flood warning and mitigations. The X-band dual-polarization radar network developed by the United States National Science Foundation Engineering Research Center (NSF-ERC) for Collaborative Adaptive Sensing of the Atmosphere (CASA) has shown great improvement to radar based Quantitative Precipitation Estimation (QPE), through many years of experimental validation studies. QPE and rainfall nowcasting are important goals of CASA X-band dual-polarization radar networks. This paper presents an overview of CASA QPE and nowcasting methodology. In addition, 20 rainfall events collected from the Oklahoma test best during the past 3 years are used to evaluate the networked radar rainfall products. Cross validation with a gauge network using these 20 events’ data shows that the estimates of instantaneous rain rate, 5-minute,10- minute, and hourly rainfall have normalized standard error of about 47.57%, 40.03%, 34.61% and 24.78% , respectively, whereas a low bias of about -3.83%, -2.83%,-2.77% and -3.45% respectively. These evaluation results demonstrate great improvement compared to the current state-of-the-art. The paper also deals with the potential role of these highresolution rainfall products for flash floods warning and mitigation.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
V. Chandrasekar, Haonan Chen, and Masayuki Maki "Urban flash flood applications of high-resolution rainfall estimation by X-band dual-polarization radar network", Proc. SPIE 8523, Remote Sensing of the Atmosphere, Clouds, and Precipitation IV, 85230K (8 November 2012);

Back to Top