摘要
着眼于强对流天气监测预警服务需求,对标国内外卫星遥感对流初生(CI)识别关键技术,分析探讨了基于卫星多光谱通道信息的CI识别和基于新型卫星探测仪器的CI识别研究进展,并给出了未来提高CI识别时效性及准确性的发展思路。加强卫星多通道、多传感器数据的融合以及与天气雷达的结合,并充分利用机器学习、大数据处理等分析技术,是有效提升CI监测预警服务能力的必要途径。
To meet the service demand of severe convective weather monitoring and early warning,the key technologies of convective initiation(CI)identification based on satellite remote sensing at home and abroad are compared and the research progress of CI identification based on satellite multispectral channel information and on different space-borne satellite observation instruments are also analyzed and discussed.The future development for improving the timeliness and accuracy of CI identification is proposed accordingly.It is necessary to strengthen the fusion of satellite multi-channel and multi-sensor data and the integration with weather radar,and to make full use of machine learning,big data processing and other analysis technologies so as to improve the capability of CI monitoring and warning services effectively.
作者
崔林丽
Cui Linli(Shanghai Ecological Forecasting and Remote Sensing Center,Shanghai 200030)
出处
《气象科技进展》
2022年第5期80-84,共5页
Advances in Meteorological Science and Technology
基金
中国气象局风云卫星应用先行计划(FY-APP-2021.0106)
上海市自然科学基金项目(18ZR1434100)
上海市科技计划项目(20232410100,19DZ1203400)。
关键词
静止卫星
对流初生
识别
展望
geostationary satellite
convective initiation(CI)
identification
prospect