Summarising climate and air quality (ozone) data on self-organising maps: a Sydney case study

Environmental Monitoring and Assessment
Ningbo JiangMatt Riley

Abstract

This paper explores the classification and visualisation utility of the self-organising map (SOM) method in the context of New South Wales (NSW), Australia, using gridded NCEP/NCAR geopotential height reanalysis for east Australia, together with multi-site meteorological and air quality data for Sydney from the NSW Office of Environment and Heritage Air Quality Monitoring Network. A twice-daily synoptic classification has been derived for east Australia for the period of 1958-2012. The classification has not only reproduced the typical synoptic patterns previously identified in the literature but also provided an opportunity to visualise the subtle, non-linear change in the eastward-migrating synoptic systems influencing NSW (including Sydney). The summarisation of long-term, multi-site air quality/meteorological data from the Sydney basin on the SOM plane has identified a set of typical air pollution/meteorological spatial patterns in the region. Importantly, the examination of these patterns in relation to synoptic weather types has provided important visual insights into how local and synoptic meteorological conditions interact with each other and affect the variability of air quality in tandem. The study illustrates that wh...Continue Reading

References

Feb 6, 2008·IEEE Transactions on Neural Networks·T Heskes
Feb 11, 2012·International Journal of Cancer. Journal International Du Cancer·William B Grant, Cedric F Garland

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Citations

Sep 24, 2020·Analytical Methods : Advancing Methods and Applications·Madeleine F DupontKay Latham

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