(Including but not limited to the following topics)
Track 1: Meteorological Big Data
Integration and governance of multi-source meteorological data (ground observation, radar, satellite, radiosonde, lightning, atmospheric electric field)
Quality control of meteorological data, missing data filling, deviation correction and heterogeneous integration
Meteorological big data platform, distributed storage, cloud computing and data middle platform
Long sequence reconstruction of historical meteorological data, application of reanalysis data
Meteorological data visualization, dynamic interaction and digital twin atmosphere
High-resolution spatiotemporal data interpolation, downscaling and grid-based products
Climate data mining, remote correlation analysis and extreme event identification
Meteorological data open sharing, standards and data property rights
Track 2: Artificial Intelligence
Weather prediction machine learning
Deep learning meteorological models
Meteorological big data analysis
AI climate simulation
Intelligent weather disaster prediction
Storm intelligent identification
Meteorological image recognition technology
Natural language meteorological processing
AI-assisted meteorological decision-making
Intelligent meteorological data fusion
Machine vision meteorological detection
AI intelligent meteorological services
Prediction model optimization algorithms
Intelligent meteorological risk assessment
Multimodal meteorological AI technology
Track 3: Monitoring
Weather radar networking, intelligent identification of satellite cloud images and disaster weather monitoring
Multi-device collaborative perception of lightning location, atmospheric electric field, microwave radiometer, etc.
Aerospace remote sensing, land environment remote sensing, water environment remote sensing, vegetation ecological remote sensing
Remote sensing technology
Modeling and monitoring of agricultural and natural ecosystems Environmental Monitoring
Environmental disaster emergency remote sensing monitoring
Remote sensing information extraction
Intelligent weather stations, IoT micro-weather sensors and edge computing
AI-based urban flooding, mountain flood, and geological disaster risk warning
Traffic meteorological intelligent warnings for visibility, road icing, strong winds, etc.
Intelligent monitoring and forecasting services for agricultural meteorology (drought, frost, pests and diseases)
Intelligent identification of weather phenomena based on computer vision (cameras, videos)
Precise targeted release and emergency linkage of meteorological warning information ......