Journal article
Evaluation of regional air quality models over Sydney and Australia: Part 1-Meteorological model comparison
K Monk, EA Guérette, C Paton-Walsh, JD Silver, KM Emmerson, SR Utembe, Y Zhang, AD Griffiths, LTC Chang, HN Duc, T Trieu, Y Scorgie, ME Cope
Atmosphere | MDPI | Published : 2019
Abstract
The ability of meteorological models to accurately characterise regional meteorology plays a crucial role in the performance of photochemical simulations of air pollution. As part of the research funded by the Australian government's Department of the Environment Clean Air and Urban Landscape hub, this study set out to complete an intercomparison of air quality models over the Sydney region. This intercomparison would test existing modelling capabilities, identify any problems and provide the necessary validation of models in the region. The first component of the intercomparison study was to assess the ability of the models to reproduce meteorological observations, since it is a significant..
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Awarded by National Science Foundation
Funding Acknowledgements
This research is funded by the Australian Government's National Environmental Science Program through the Clean Air and Urban Landscapes Hub. This research was also supported by the Australian Government Research Training Program (RTP) Scholarships. It was also supported by computational resources provided by the Australian Government through NCI under the National Computational Merit Allocation Scheme. YZ acknowledges the support by the University of Wollongong (UOW) Vice-Chancellors Visiting International Scholar Award (VISA), the University Global Partnership Network (UGPN), and the NC State Internationalization Seed Grant. Simulations using W-NC1 and W-NC2were performed on Stampede and Stampede 2, provided as an Extreme Science and Engineering Discovery Environment (XSEDE) digital service by the Texas Advanced Computing Centre (TACC), and on Yellowstone (ark:/85065/d7wd3xhc) provided by NCAR's Computational and Information Systems Laboratory, sponsored by the National Science Foundation.