DocumentCode :
124818
Title :
Quantitative precipitation estimation using dual-polarization radar network over the Dallas-Fort Worth (DFW) metroplex
Author :
Haonan Chen ; Chandrasekar, V.
Author_Institution :
Colorado State Univ., Fort Collins, CO, USA
fYear :
2014
fDate :
8-11 Jan. 2014
Firstpage :
1
Lastpage :
1
Abstract :
Summary form only given. The Distributed Collaborative Adaptive Sensing (DCAS) paradigm introduced by the National Science Foundation Engineering Research Center (NSF-ERC) for Collaborative Adaptive Sensing of the Atmosphere (CASA) has shown great advantages to observe and track low-level atmospheric conditions during the 5 years operation (2007-2011) in Southwestern Oklahoma. To demonstrate the DCAS concept and mitigate the increasing vulnerability to urban flash floods, CASA, in collaborative with the North Central Texas Council of Governments (NCTCOG), has been establishing its first urban radar network in Dallas-Fort Worth (DFW) metropolitan area. The eight-node X-band dual-polarization radar network is expected to provide improved hazardous weather forecasts, warnings and response in this densely populated metroplex. Radar-based Quantitative Precipitation Estimation (QPE) is one of the major research activities in the development of this urban remote sensing network. In this study, we implement a Kdp-based rainfall algorithm for the CASA DFW X-band radars to estimate the rainfall intensity and accumulations. The spatiotemporal resolution of CASA QPE is about 500 meters and 1 minute. In addition, the local S-band NEXRAD site (i.e., KFWS radar), which has been upgraded to have dual-polarization capability since November 2012, is also used to generate the networked dual-polarization rainfall products. For this S-band radar, we use a combination of reflectivity (Zh), differential reflectivity (Zdr), and Kdp to retrieve the rainfall field. Composite rainfall products are then created using resampling techniques based on the CASA radar and NEXRAD rainfall measurements. To validate and evaluate the dual-polarization radar rainfall products, 19 rain gauges operated by the City of Fort Worth and 21 by the City of Grand Prairie are used for cross comparison between the radar rainfall measurements and gauge rainfall observation- . The evaluation results show excellent performance of the CASA DFW rainfall products with low bias and normalized standard error.
Keywords :
meteorological instruments; meteorological radar; precipitation; rain; remote sensing by radar; weather forecasting; CASA DFW X-band radars; Collaborative Adaptive Sensing of the Atmosphere; DCAS; DFW metroplex; Dallas-Fort Worth metroplex; Kdp-based rainfall algorithm; KFWS radar; NCTCOG; NEXRAD rainfall measurements; NSF-ERC; National Science Foundation Engineering Research Center; North Central Texas Council of Governments; QPE; S-band radar; Southwestern Oklahoma; composite rainfall products; densely populated metroplex; differential reflectivity; distributed collaborative adaptive sensing; dual polarization; eight-node X-band dual-polarization radar network; gauge rainfall observations; hazardous weather forecasts; low-level atmospheric conditions; radar rainfall measurements; radar-based quantitative precipitation estimation; rainfall accumulations; rainfall intensity; spatiotemporal resolution; urban flash floods; urban radar network; urban remote sensing network; Adaptive systems; Collaboration; Estimation; Radar measurements; Radar remote sensing; Radar tracking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Radio Science Meeting (USNC-URSI NRSM), 2014 United States National Committee of URSI National
Conference_Location :
Boulder, CO
Print_ISBN :
978-1-4799-3119-4
Type :
conf
DOI :
10.1109/USNC-URSI-NRSM.2014.6928035
Filename :
6928035
Link To Document :
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