Computational challenges in large-scale air pollution modelling
ICS '01 Proceedings of the 15th international conference on Supercomputing
Running a large air pollution model on an IBM SMP computer
Practical parallel computing
Massive data set issues in air pollution modelling
Handbook of massive data sets
Development and acceleration of parallel chemical transport models
SpringSim '10 Proceedings of the 2010 Spring Simulation Multiconference
Algebraic stabilization of explicit numerical integration for extremely stiff reaction networks
Journal of Computational Physics
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In the last fifteen years the quasi-steady-state-approximation (QSSA) method has been a commonly used method for integrating stiff ordinary differential equations arising from atmospheric chemistry problems. In this paper a theoretical analysis of the QSSA method is developed, stressing its strengths and its weaknesses. This theory leads to practical improvements to the QSSA method. New algorithms, including symmetric and extrapolated QSSA are presented.