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Progress and prospection of the severe weather forecasting demonstration project technologies
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Science & Technology Review | 2020, 38(20) : 86 - 96
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Science & Technology Review | 2020, 38(20): 86-96
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Progress and prospection of the severe weather forecasting demonstration project technologies
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WANG Yi1, ZHOU Qingliang1, TONG Hua1, XIAN Di2, XU Wanzhi3, REN Lu1, TANG Wenyuan1
Affiliations
    1. National Meteorological Center, China Meteorological Administration, Beijing 100081, China;
    2. National Satellite Meteorology Center, China Meteorological Administration, Beijing 100081, China;
    3. International Cooperation Department, China Meteorological Administration, Beijing 100081, China
Published: 2020-10-28 doi: 10.3981/j.issn.1000-7857.2020.20.014
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In the context of the global climate change, severe weather is increasingly threatening the sustainable development of all countries, especially, developing countries. Thus an accurate and reliable weather forecast and the warning information are essential. This paper analyzes the Severe Weather Forecasting Demonstration Project (SWFDP) of the World Meteorological Organization (WMO), including its initial concept and the status of regional subprojects. Currently, 8 regional subprojects were set up, covering about 80 countries. The recent technical progresses of the severe weather forecasting are reviewed, including the global deterministic numerical models, the regional numerical models, the ensemble prediction systems and the meteorological satellite data applications. The SWFDP involves a cascading forecasting process to provide an effective access to the products and the tools made available by the advanced operational global and regional centres. The basic characteristics of the numerical models and the operational systems in the major domestic and international meteorological centers are analyzed. Furthermore, current challenges for the development of the severe weather forecasting demonstration project are analyzed and the prospects of the project as well as the numerical model applications are discussed.
severe weather  /  numerical models  /  world meteorological organization
WANG Yi, ZHOU Qingliang, TONG Hua, XIAN Di, XU Wanzhi, REN Lu, TANG Wenyuan. Progress and prospection of the severe weather forecasting demonstration project technologies[J]. Science & Technology Review, 2020 , 38 (20) : 86 -96 . DOI: 10.3981/j.issn.1000-7857.2020.20.014
Year 2020 volume 38 Issue 20
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doi: 10.3981/j.issn.1000-7857.2020.20.014
  • Receive Date:2020-03-21
  • Online Date:2020-11-04
  • Published:2020-10-28
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  • Received:2020-03-21
  • Revised:2020-07-11
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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