Adaptive resolution modeling of regional air quality

ABSTRACT

We discuss an adaptive resolution system for modeling regional air pollution based on the chemical transport model Stem. The grid adaptivity is implemented using the generic tool Paramesh, which enables the grid management operations while harnessing the power of parallel computers. The computational algorithm is based on a decomposition of the domain, with the solution in different sub-domains being solved at different spatial resolutions. Numerical experiments confirm that adaptive resolution leads to the decrease in spatial error with an acceptable increase in computational time. Advantages and shortcomings of the present approach are also discussed.

REFERENCES

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INDEX TERMS

Keywords:
adaptive mesh refinement, air quality modeling