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Browsing Newsletters by Author "Chambers, SD"

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    Global atmospheric composition monitoring
    (Australian Nuclear and Science Organisation, 2014-02-03) Williams, AG; Chambers, SD
    ANSTO's radon measurements at Cape Grim in Southern Australia are contributing to a global effort to better understand the chemical makeup of our atmosphere and help protect our planet and its people. It's common knowledge that significant changes to the make-up of our atmosphere - from both natural and human-induced activities - have had a devastating impact on our planet with even greater environmental, social and economic problems projected in coming decades. Science is doing its part on a number of fronts, including a specialised agency of the United Nations that's providing an authoritative voice on the state and behaviour of the Earth's atmosphere with world class facilities like those run jointly by ANSTO, CSIRO and the Bureau of Meterology (BOM) in Cape Grim, Tasmania.
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    Improving estimates of pollution outflow at Gosan using 222Rn
    (World Meteorological Organization, 2015-11-01) Chambers, SD; Kang, CH; Williams, AG; Crawford, J; Griffiths, AD; Kim, WH
    The best understanding of climatic, ecological and health effects from increasing Southeast Asian emissions will likely be achieved by models coupled to detailed emission inventories and remote sensing data. To improve model accuracy and forecast horizons, careful evaluation against appropriate observations is essential. To minimize the chance of misleading comparisons, it is important to ensure ground-based reference observations are well matched with the model output, especially regarding fetch regions and scales of observation. To quantify upstream emissions based on ground-based observations it is necessary to: (i) understand the measurement “footprint”, (ii) identify observations most representative of air that has been in good contact with the surface over which it has travelled, and has not been significantly diluted by fronts or deep convection in transit, (iii) ensure observations are representative of the whole boundary layer (BL), (iv) minimize the influence of local emissions, (v) characterize changes in mixing depth, and (vi) characterize evolving “background” concentrations.