Urban meteorological modelling for nuclear emergency preparedness

Area of Science:

• Environmental Science
• Meteorology
• Atmospheric Chemistry

Background:

• Urban areas face complex air pollution challenges.
• Accurate meteorological forecasts are crucial for air quality and emergency response.
• Existing systems often lack integrated urban-scale forecasting capabilities.

Purpose of the Study:

• To improve meteorological forecasts for urban environments.
• To link numerical weather prediction (NWP) models with air pollution and population dose models.
• To develop advanced urban air quality information and forecasting systems for diverse European climates and nuclear emergency management.

Main Methods:

• Utilizing the HIRLAM NWP model at high resolution (1.4km) for urban areas like Copenhagen.
• Integrating high-resolution physiographic data for urban surface parameterization.
• Developing and interfacing the Danish Emergency Response Model of the Atmosphere (DERMA) and Local-Scale Model Chain (LSMC) within the ARGOS decision-support system.
• Employing automated on-line data exchange and parallel calculations for a mini-ensemble of dispersion forecasts.

Main Results:

• Demonstrated enhanced high-resolution NWP forecasting for urban areas.
• Integrated meteorological, air pollution, and population exposure models.
• Validated improved dispersion forecasting capabilities for nuclear emergency preparedness in the Copenhagen metropolitan area.
• Showcased the ARGOS system's real-time regional and local-scale dispersion modeling for accidental releases.

Conclusions:

• The FUMAPEX project successfully integrated advanced NWP with air quality and emergency response models.
• High-resolution urban meteorological forecasting significantly enhances dispersion modeling for air pollution events and nuclear emergencies.
• The developed systems provide crucial decision-support tools for urban environmental management and safety.