4.3 Article

Coverage of China New Generation Weather Radar Network

Journal

ADVANCES IN METEOROLOGY
Volume 2019, Issue -, Pages -

Publisher

HINDAWI LTD
DOI: 10.1155/2019/5789358

Keywords

-

Funding

  1. 100 Top Talents Program at Sun Yat-Sen University, Guangzhou, Guangdong, China [74110-52601108]
  2. 100 Top Talents Program of Guangxi Zhuang Autonomous Region, Guangxi Scientific Technology Development Program [2014DD29090]
  3. High-Level Talents Training and Teacher Qualities and Skills Promotion Plan for Guangxi Colleges and Universities [8844]
  4. National Natural Science Foundation of China [41875182, 51579162, 41661021, 41866001]
  5. Guangxi Natural Fund of Innovative Team Project [2016JJF15001]

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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.

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