Air Quality Forecasting in Numerical Weather Prediction: From Simplified Aerosols to Complex Chemistry
A special issue of Atmosphere (ISSN 2073-4433). This special issue belongs to the section "Meteorology".
Deadline for manuscript submissions: closed (30 April 2021) | Viewed by 2759
Special Issue Editors
2. National Oceanic and Atmospheric Administration (NOAA), Global Systems Laboratory (GSL), Boulder, CO 80305, USA
Interests: numerical weather prediction; aerosol–microphysics–radiation interaction; high performance computing; transition to operations; interoperability; emerging technologies; community engagement
Special Issue Information
Dear Colleagues,
The recent, devastating wildfire seasons in Australia, the Amazonas, and North America covered large areas in smoke and dust, creating health risks and impacting transportation. At the same time, air quality improved substantially during the coronavirus crisis in other parts of the world as entire economies went into a lockdown. While NASA’s terra satellite showed smoky pall over most of California in August 2020, people in India could see the Himalayas for the first time in decades in April 2020 as PM10 air pollution levels dropped by 44%.
These events once again highlight the importance of accurate air quality forecasting in real-time numerical weather prediction to mitigate public health risks and assist wildfire management and transportation operations in general. The vast amount of data collected in recent months to years provide ample opportunities to test and improve operational or near real-time air quality prediction systems. Adding chemistry components can increase the computational requirements significantly, but modern hardware and software technologies such as accelerators, parallelization, vectorization, concurrent or time-lagged execution open the door for real-time applications on global and regional scale.
This Special Issue solicits contributions on air quality, smoke, aerosols, and chemistry in operational weather forecasting or in preparation for operations. Authors are encouraged to submit manuscripts covering scientific as well as computational aspects of simplified and complex chemical modeling in real-time or near real-time numerical weather prediction.
Dr. Dominikus Heinzeller
Dr. Jordan G. Powers
Guest Editors
Manuscript Submission Information
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Keywords
- Air quality
- Smoke
- Aerosols
- Chemistry
- Forecasting
- Real-time numerical weather prediction
