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Integrated Modeling For Forecasting Weather and Air Quality: A Call For Fully Coupled Approaches

Abstract

This paper discusses some of the differences between online and offline approaches for both air quality forecasting and numerical weather prediction, and argues in favor of an eventual migration to integrated modeling systems that allow two-way interactions of physical and chemical processes. Recent studies are used that directly compared online and offline simulations to discuss possible shortcomings for both air quality and weather forecasting. The disadvantages of offline approaches are easy to show for air quality forecasting. On the other hand, a positive impact on short to medium range weather forecasts that is significant enough to justify an implementation at operational weather forecasting centers is more difficult to prove, and may initially only come through an improvement of the meteorological data assimilation. Eventually though, a migration to an integrated modeling system will provide new opportunities for weather prediction modelers as well. The simulation of chemical species will allow identification of shortcomings in currently used forecast models as well as lead to better use of meteorological data assimilation.

Article / Publication Data
Active/Online
YES
ISSN
1352-2310
Volume
45
Available Metadata
Accepted On
November 07, 2011
DOI ↗
Fiscal Year
Publication Name
Atmospheric Environment
Published On
December 01, 2011
Final Online Publication On
January 01, 2011
Print Volume
45
Print Number
38
Page Range
6845-6851
Submitted On
August 02, 2010
URL ↗

Institutions

Not available

Authors

Authors who have authored or contributed to this publication.

Not available