AI技术与卫星资料应用研究现状分析

Review of Leveraging AI for Exploitation of Satellite Observations

作者：

匡秋明中国气象局公共气象服务中心北京 100081
于廷照中国气象局公共气象服务中心北京 100081

中文摘要：

人工智能（Artificial Intelligence，AI）在环境要素预报、环境质量预报、气象基本要素预报以及高影响性天气预报等方面已取得研究性进展。其中，环境要素包括云、雾、雪，太阳能辐射及土壤水分、植被、湖泊等；环境质量包括空气质量、海洋环境质量等；气象基本要素包括降水、风、温度；高影响性天气包括冰雹、强风、雷电、对流暴雨、洪涝等。

中文关键词：

卫星资料，人工智能，环境要素，气象要素，预报

KeyWords：

satellite data, artificial intelligence, environmental elements, meteorological elements, forecasting

Abstract：

Artificial Intelligence has achieved great progresses in many areas such as environmental elements forecasting, environmental qualification forecasting, meteorological elements forecasting and extreme weather forecasting. Specifically, the environmental elements include cloud, fog, snow, solar, soil moisture, crop and lake. The environmental qualification consists of both air quality and ocean quality. The meteorological elements contain precipitation, wind and temperature, while the extreme weather is composed of hail, storm, lighting and floods.