Multi-Source and Multi-Modal Data Integration Analysis

Based on the self-owned "StarPool" data system, it integrates global multi-source data such as active/passive remote sensing, numerical models, ground-based radar, ground observation, geographic information, and environmental climate, to establish a fully integrated multi-modal data system

AI-Driven Meteorological Remote Sensing Large Model

Build a meteorological remote sensing large model based on deep learning models, realizing intelligent identification, sensing and tracking of extreme weather events such as incipient convection, severe convection (including typhoons), heavy fog, and sand and dust.

Full-Scenario Coverage and Intelligent Service System

Based on multi-hazard monitoring and early warning capabilities, combined with numerical forecasting and visualization services, it provides a deep intelligent service system covering multiple fields such as urban management, emergency command, transportation, energy, agriculture, forestry and grassland, and ocean.