TY - GEN

T1 - Comparing the Performance of ADMS and AERMOD using a Hybrid Model and Conditional Analysis Techniques

AU - Malby, Andrew

AU - Whyatt, Duncan

AU - Timmis, Roger

AU - Carruthers, David

AU - Stocker, Jenny

PY - 2011

Y1 - 2011

N2 - The value of inter-comparisons can be limited by the difficulty of auditing model differences back to the processes that caused them. Conditional analysis methods can be used to improve this auditability. Another recent improvement is the development of a ‘hybrid’ model that facilitates more rapid inter-comparisons between ADMS and AERMOD. An example of using conditional analysis to compare models is given for a tall stack with receptors in the near- and far-field. Differences between the models are related to different predictions of boundary-layer height; these predictions are compared using a ‘Dispersion Calendar’ that shows how height differences vary for different dispersion conditions.

AB - The value of inter-comparisons can be limited by the difficulty of auditing model differences back to the processes that caused them. Conditional analysis methods can be used to improve this auditability. Another recent improvement is the development of a ‘hybrid’ model that facilitates more rapid inter-comparisons between ADMS and AERMOD. An example of using conditional analysis to compare models is given for a tall stack with receptors in the near- and far-field. Differences between the models are related to different predictions of boundary-layer height; these predictions are compared using a ‘Dispersion Calendar’ that shows how height differences vary for different dispersion conditions.

M3 - Conference contribution/Paper

SP - 110

EP - 114

BT - Proceedings of the 14th Conference on Harmonisation within Atmospheric Dispersion Modelling for Regulatory Purposes

ER -