Overview of development of public safety-oriented meteorological monitoring, forecasting and early warning software

doi:10.16265/j.cnki.issn1003-3033.2022.09.2649

Abstract

Abstract:

In order to promote the high-quality development of MMFW software, and protect national security and the safety of human life and property, the domestic and foreign MMFW software were summarized and evaluated. Firstly, the categories of MMFW software were analyzed, and the status and key core technologies of six types of software, including meteorological observation system, numerical forecast, forecast and early warning of meteorological disasters, impact and risk assessment of meteorological disasters, public meteorological service and meteorological information system, were studied. Then, the developing trends of MMFW software in the fields of intelligent observation, intelligent forecast, risk assessment and decision-making service technology, and artificial intelligence technology application were preliminarily discussed. Finally, suggestions were put forward. Results show that there are some problems in Chinese MMFW software, such as backward basic software, weak application support software, low technical content of applied software. The short board of the development environment, development tools and other basic software and application support software should be completed. The advantages of the business operation, monitoring software, and other application software should be built. MMFW information products and technical support services should be optimized. Research and development of the key core technologies of "seamless-be full covered, automatic-intelligent, fine-digital" MMFW software should be accelerated.

Key words: public safety, meteorological monitoring forecasting and early warning(MMFW), software, risk assessment, disaster prevention and control

ZHOU Yong, YANG Bo, TANG Wei, LI Yue'an, WANG Yuedong, LI Zechun. Overview of development of public safety-oriented meteorological monitoring, forecasting and early warning software[J]. China Safety Science Journal, 2022, 32(9): 76-85.

Figures/Tables 6

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机构	系统	最长预报时效/h	水平分辨率	垂直层数
澳大利亚气象局	社区气候和地球系统模拟器	240	~25 km	70
中国气象局	中国气象局全球天气模式	240	0.25°×0.25°	60
加拿大气象局	全球确定性预测系统	240	0.23°×0.23°	80
德国气象局	二十面体非静力全球数值预报模式	180	13 km	90
ECMWF	高分辨率集合预报系统	240	~9 km	137
日本气象厅	全球谱模式	264	0.187 5°× 0.187 5°	100
美国环境预报中心	全球预报系统	384	0.25°×0.25°	64
英国气象局	统一模式	144	10 km	70
俄罗斯气象局	半拉格朗日绝对涡度大气模式	240	(0.16×0.24)°× 0.225°	51