Abstract
Abstract. Flooding is one of the most common natural hazards that produce substantial loss of life and property. The QPE products that are derived at high spatiotemporal resolution, which is enabled by the deployment of a dense radar network, have the potential to improve the prediction of flash-flooding threats when coupled with hydrological models. The US National Science Foundation Engineering Research Center for Collaborative Adaptive Sensing of the Atmosphere (CASA) is dedicated to revolutionizing our ability to observe, understand, predict, and respond to hazardous weather events, especially in the lower atmosphere. CASA's technology enables precipitation observation close to the ground and QPE is one of the important products generated by the system. This paper describes the CASA QPE system built on the various underlying technologies of networked X-band radar systems providing high-resolution (in space and time) measurements, using the rainfall products from the radar. Evaluation of the networked rainfall product using 5 yr of data from the CASA IP-1 test bed is presented. Cross validation of the product using 5 yr of data with a gauge network is also provided. The validation shows the excellent performance of the CASA QPE system with a standard error of 25% and a low bias of 3.7%. Examples of various CASA rainfall products including instantaneous and hourly rainfall accumulations are shown.
Highlights
Flooding is one of the most common natural hazards that produce substantial loss of life and property
The CASA (Collaborative Adaptive Sensing of the Atmosphere) is a US National Science Foundation Engineering Research Center dedicated to revolutionizing our ability to observe, understand, predict, and respond to hazardous weather events, especially in the lower atmosphere
This paper describes the CASA Quantitative Precipitation Estimation (QPE) system built on the various underlying technologies of networked X-band radar systems providing high-resolution measurements, using the rainfall products from the radar
Summary
Flooding is one of the most common natural hazards that produce substantial loss of life and property. The CASA (Collaborative Adaptive Sensing of the Atmosphere) is a US National Science Foundation Engineering Research Center dedicated to revolutionizing our ability to observe, understand, predict, and respond to hazardous weather events, especially in the lower atmosphere. This center has pursued an innovative, densely networked, sensing paradigm, called DCAS (Distributed Collaborative Adaptive Sensing), to overcome the resolution and coverage limitations of traditional weather radars using lower cost, densely networked radar systems (McLaughlin et al, 2005). This paper describes the CASA Quantitative Precipitation Estimation (QPE) system built on the various underlying technologies of networked X-band radar systems providing high-resolution (in space and time) measurements, using the rainfall products from the radar.
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