Book chapter
Predicting Air Quality: Current Status and Future Directions
Air Pollution Modeling and Its Application XIX, pp.481-495
NATO Science for Peace and Security Series Series C: Environmental Security, Springer Netherlands
2008
DOI: 10.1007/978-1-4020-8453-9_53
Abstract
Air quality prediction plays an important role in the management of our environment. As more atmospheric chemical observations become available chemical data assimilation is expected to play an essential role in air quality forecasting. In this paper the current status of air quality forecasting is discussed and illustrated by comparison of predictions with observations. The future directions are also discussed, with an emphasis on data assimilation. Applications of the four dimensional variational method (4D-Var) and the ensemble Kalman filter (EnKF) approach are presented and discussed.
Details
- Title: Subtitle
- Predicting Air Quality: Current Status and Future Directions
- Creators
- Gregory R Carmichael - University of IowaAdrian SanduTianfeng ChaiDacian N DaescuEmil M ConstantinescuYouhua Tang
- Resource Type
- Book chapter
- Publication Details
- Air Pollution Modeling and Its Application XIX, pp.481-495
- Publisher
- Springer Netherlands; Dordrecht
- Series
- NATO Science for Peace and Security Series Series C: Environmental Security
- DOI
- 10.1007/978-1-4020-8453-9_53
- ISSN
- 1874-6519
- Language
- English
- Date published
- 2008
- Academic Unit
- Civil and Environmental Engineering; Nursing; Chemical and Biochemical Engineering
- Record Identifier
- 9984185464302771
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