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.
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