Coverage of China New Generation Weather Radar Network

Author:

Min Chao12,Chen Sheng12ORCID,Gourley Jonathan J.3,Chen Haonan45,Zhang Asi12,Huang Yong6ORCID,Huang Chaoying7

Affiliation:

1. School of Atmospheric Sciences, Guangdong Province Key Laboratory for Climate Change and Natural Disaster Studies, Sun Yat-sen University, Guangzhou 510275, China

2. Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai 519082, China

3. NOAA/National Severe Storms Laboratory, Norman 73072, USA

4. Colorado State University, Fort Collins 80523, USA

5. NOAA/Earth System Research Laboratory, Boulder 80305, USA

6. Anhui Meteorological Bureau, Hefei 230061, China

7. Key Laboratory of Environment Change and Resources Use in Beibu Gulf, Guangxi Teachers Education University, Nanning 530011, China

Abstract

The China Meteorological Administration has deployed the China New Generation Weather Radar (CINRAD) network for severe weather detection and to improve initial conditions for numerical weather prediction models. The CINRAD network consists of 217 radars comprising 123 S-band and 94 C-band radars over mainland China. In this paper, a high-resolution digital elevation model (DEM) and beam propagation simulations are used to compute radar beam blockage and evaluate the effective radar coverage over China. Results show that the radar coverage at a height of 1 km above ground level (AGL) is restricted in complex terrain regions. The effective coverage maps at heights of 2 km and 3 km AGL indicate that the Yangtze River Delta, the Pearl River Delta, and North China Plain have more overlapping radar coverage than other regions in China. Over eastern China, almost all areas can be sampled by more than 2 radars within 5 km above mean sea level (MSL), but the radars operating in Qinghai-Tibet Plateau still suffer from serious beam blockage caused by intervening terrain. Overall, the radars installed in western China suffer from much more severe beam blockage than those deployed in eastern China. Maps generated in this study will inform users of the CINRAD data of their limitations for use in precipitation estimation, as inputs to other weather and hydrological models, and for satellite validation studies.

Funder

Sun Yat-Sen University

Publisher

Hindawi Limited

Subject

Atmospheric Science,Pollution,Geophysics

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