Under the intensifying global climate change, extreme weather events are occurring more frequently. Ensuring comprehensive coverage of early warning systems worldwide has become a critical priority for global disaster prevention and mitigation.
In 2025, World Meteorological Day adopted the theme " Closing the early warning gap together", calling for joint efforts to advance early warnings and actions, thereby enhancing disaster resilience.
The China Climate Change Blue Book (2024), released by the China Meteorological Administration (CMA), reveals that the Qinghai-Tibet Plateau is one of the regions experiencing the fastest warming rates globally.
As a province prone to frequent meteorological disasters, Qinghai faces perennial threats from floods, droughts, snowstorms, and extreme cold. Building an efficient early warning system is central to improving climate change adaptability.
To address escalating climate risks, Qinghai has pioneered a technology-driven approach by integrating multi-source data across spatial and temporal dimensions, establishing a Meteorological Disaster Risk Management System (hereafter referred to as "the System"), marking a new chapter in scientific disaster prevention and mitigation.
01 Innovative Architecture: Empowering Technology to Strengthen Meteorological Defenses
Based on the core principles of the CMA's "Tianjian" Four Centers, the system has developed a comprehensive, multi-tiered meteorological disaster management framework through innovations in architecture design, technological applications, and functional development.
Big Data Application Center
Leveraging automated data collection and processing, this center integrates massive multi-channel data. Intelligent fusion algorithms deeply consolidate and refine data from diverse sources and formats, ensuring accuracy and reliability to provide a robust foundation for analysis and decision-making.
Model Algorithm Center
A rich library of meteorological disaster models and algorithms has been established. Smart parameter management dynamically adjusts and optimizes algorithm parameters using real-time data and historical insights, enhancing response capabilities under complex conditions and offering scientific support for disaster prediction and assessment.
Online Analysis and Product Development Center
This center processes real-time data from the Big Data Application Center using models from the Algorithm Center. By integrating meteorological data with spatial information via GIS technology, it achieves precise disaster localization and visualization.
Tailored products—such as risk assessment reports, early warnings, and disaster trend maps—are generated to meet diverse user needs, delivering intuitive and accurate services for decision-makers and the public.
Operation and Maintenance Management Center
Ensuring system stability and data security, this center implements tiered access controls to safeguard confidentiality. It monitors system performance in real-time, identifies and resolves issues proactively, and provides insights for continuous optimization.
02 Smart Applications: Comprehensive Protection Against Meteorological Disasters
The system supports all phases of meteorological disaster management, offering end-to-end protection for Qinghai Province.
Disaster Monitoring: Real-Time Vigilance
The system integrates data from weather stations, portable sensors, wind lidars, and other devices to monitor floods, droughts, heatwaves, cold spells, snowstorms, and high winds 24/7. Advanced analytics detect early disaster signals, assess intensity and scope, and eva1uate historical parallels, buying critical time for preparedness.
Risk Prediction: Proactive Precision
Combining historical climate data, multi-model forecasts, and preset thresholds, the system conducts interactive analyses to predict hazards. By eva1uating meteorological trends and terrain impacts, it generates detailed forecasts—including risk levels, process intensity, and mitigation strategies—empowering users to act preemptively and minimize losses.
Risk Warning: Timely Alerts
Leveraging real-time data and risk assessments, the system rapidly issues targeted warnings detailing disaster type, timing, and affected areas. This enables swift, effective responses to mitigate impacts.
Decision Support: Data-Driven Strategy
The system provides comprehensive analysis reports and risk maps, covering historical data, current conditions, trends, and response recommendations. Visual risk distributions and scientific insights guide resource allocation, rescue operations, and policy-making to safeguard lives, property, and social stability.
03 Enhanced Benefits: Safeguarding Ecology and Driving Progress
Since its launch, the system has delivered significant results in disaster reduction and ecological protection. Through precise monitoring, scientific analysis, and timely warnings, it has reduced threats to ecosystems and communities.
The Qinghai Meteorological Disaster Risk Management System not only bridges the "early warning gap" but also offers valuable insights for global disaster risk management. As technology advances, the system will evolve further, safeguarding Qinghai’s ecological security, social stability, and economic growth.
