The Australian air quality forecasting system. Part I: Project description and early outcomes

M. E. Cope*, G. D. Hess, S. Lee, K. Tory, M. Azzi, J. Carras, W. Lilley, P. C. Manins, P. Nelson, L. Ng, K. Puri, N. Wong, S. Walsh, M. Young

*Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    65 Citations (Scopus)
    27 Downloads (Pure)

    Abstract

    The Australian Air Quality Forecasting System (AAQFS) is the culmination ot a 3-yr project to develop a numerical primitive equation system for generating high-resolution (1-5 km) short-term (24-36h forecasts for the Australian coastal cities of Melbourne and Sydney. Forecasts are generated 2 times per day for a range of primary and secondary air pollutants, including ozone, nitrogen dioxide, carbon monoxide, sulfur dioxide, and particles that are less than 10 μm in diameter (PM10). A preliminary assessment of system performance has been undertaken using forecasts generated overa 3-month demonstration period. For the priority pollutant ozone it was found that AAQFS achieved a coefficient of determination of 0.65 and 0.57 for forecasts of peak daily 1-h concentration in Melbourne and Sydney, respectively. The probability of detection and false-alarm rate were 0.71 and 0.55, respectively, for a 60-ppb forecast threshold in Melbourne. A similar level of skill was achieved for Sydney. System performance is also promising for the primary gaseous pollutants. Further development is required before the system can be used to forecast PM10 confidently, with a systematic overprediction of 24-h PM10 concentration occurring during the winter months.

    Original languageEnglish
    Pages (from-to)649-662
    Number of pages14
    JournalJournal of Applied Meteorology
    Volume43
    Issue number5
    DOIs
    Publication statusPublished - May 2004

    Fingerprint

    Dive into the research topics of 'The Australian air quality forecasting system. Part I: Project description and early outcomes'. Together they form a unique fingerprint.

    Cite this