| Autor: |
Philip Cheung, Shao-Meng Li, Michael D. Moran, Qiong Zheng, Jack Chen, Wanmin Gong, Ayodeji Akingunola, Balbir Pabla, Craig Stroud, Paul Makar |
| Rok vydání: |
2019 |
| Předmět: |
|
| Zdroj: |
Springer Proceedings in Complexity ISBN: 9783030220549 |
| DOI: |
10.1007/978-3-030-22055-6_35 |
| Popis: |
Experimental air-quality forecasts for the Canadian provinces of Alberta and Saskatchewan have been carried out since 2012, using a 10 km/2.5 km nested resolution version of Environment and Climate Change Canada’s Global Environmental Multiscale-Modelling Air-quality and Chemistry (GEM-MACH) on-line air-quality model. We describe here some of the main results of that work, and a major upgrade of this forecasting system (based on work carried out following a 2013 monitoring intensive field campaign in the Athabasca oil sands region of Canada). The new forecasting system has been designed in preparation for a follow-up field campaign, taking place during April and June of 2018. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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