The quantitative precipitation estimation system for Dallas-Fort Worth (DFW) urban remote sensing network

被引:107
作者
Chen, Haonan [1 ]
Chandrasekar, V. [1 ]
机构
[1] Colorado State Univ, Ft Collins, CO 80523 USA
基金
美国国家科学基金会;
关键词
CASA; Radar; WSR-88DP; QPE; Urban flooding; DFW; REAL-TIME CORRECTION; RAIN-GAUGE DATA; DIFFERENTIAL REFLECTIVITY; X-BAND; RADAR MEASUREMENTS; CLASSIFICATION; ALGORITHM; BIAS; PHASE; FIELD;
D O I
10.1016/j.jhydrol.2015.05.040
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
The Dallas-Fort Worth (DFW) urban radar network consists of a combination of high resolution X band radars and a standard National Weather Service (NWS) Next-Generation Radar (NEXRAD) system operating at S band frequency. High spatiotemporal-resolution quantitative precipitation estimation (QPE) is one of the important applications of such a network. This paper presents a real-time QPE system developed by the Collaborative Adaptive Sensing of the Atmosphere (CASA) Engineering Research Center for the DFW urban region using both the high resolution X band radar network and the NWS S band radar observations. The specific dual-polarization radar rainfall algorithms at different frequencies (i.e., Sand X-band) and the fusion methodology combining observations at different temporal resolution are described. Radar and rain gauge observations from four rainfall events in 2013 that are characterized by different meteorological phenomena are used to compare the rainfall estimation products of the CASA DFW QPE system to conventional radar products from the national radar network provided by NWS. This high-resolution QPE system is used for urban flash flood mitigations when coupled with hydrological models. (C) 2015 Elsevier B.V. All rights reserved.
引用
收藏
页码:259 / 271
页数:13
相关论文
共 57 条
[21]  
2
[22]   Estimation of rainfall based on the results of polarimetric echo classification [J].
Giangrande, Scott E. ;
Ryzhkov, Alexander V. .
JOURNAL OF APPLIED METEOROLOGY AND CLIMATOLOGY, 2008, 47 (09) :2445-2462
[23]   Influence of Beam Broadening on the Accuracy of Radar Polarimetric Rainfall Estimation [J].
Gorgucci, Eugenio ;
Baldini, Luca .
JOURNAL OF HYDROMETEOROLOGY, 2015, 16 (03) :1356-1371
[24]   Sampling errors of tipping-bucket rain gauge measurements [J].
Habib, E ;
Krajewski, WF ;
Kruger, A .
JOURNAL OF HYDROLOGIC ENGINEERING, 2001, 6 (02) :159-166
[25]   Independent Assessment of Incremental Complexity in NWS Multisensor Precipitation Estimator Algorithms [J].
Habib, Emad ;
Qin, Lingling ;
Seo, Dong-Jun ;
Ciach, Grzegorz J. ;
Nelson, Brian R. .
JOURNAL OF HYDROLOGIC ENGINEERING, 2013, 18 (02) :143-155
[26]  
Istok M., 2009, 25 C INT INT INF PRO
[27]  
KITCHEN M, 1994, Q J ROY METEOR SOC, V120, P1231, DOI 10.1256/smsqj.51905
[28]   Principles and Applications of Dual-Polarization Weather Radar. Part I: Description of the Polarimetric Radar Variables [J].
Kumjian, Matthew R. .
JOURNAL OF OPERATIONAL METEOROLOGY, 2013, 1 (19) :226-242
[29]   Hydrometeor classification system using dual-polarization radar measurements:: Model improvements and in situ verification [J].
Lim, S ;
Chandrasekar, V ;
Bringi, VN .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2005, 43 (04) :792-801
[30]  
Liu HP, 2000, J ATMOS OCEAN TECH, V17, P140, DOI 10.1175/1520-0426(2000)017<0140:COHBOP>2.0.CO