Data

Australian Fine Particle Air Pollution Animation

Commonwealth Scientific and Industrial Research Organisation
Cope, Martin ; Khoo, Jonathan ; Lee, Sunhee ; Thatcher, Marcus ; Hibberd, Mark ; Macaulay, Craig ; Baker, Justin ; Leak, Stephen ; Taylor, John ; Freeman, Justin
Viewed: [[ro.stat.viewed]] Cited: [[ro.stat.cited]] Accessed: [[ro.stat.accessed]]
ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.4225/08/5416855D9E25E&rft.title=Australian Fine Particle Air Pollution Animation&rft.identifier=https://doi.org/10.4225/08/5416855D9E25E&rft.publisher=Commonwealth Scientific and Industrial Research Organisation&rft.description=A simulation of meteorology and fine particles (with a diameter < 2.5 um; PM2.5) was run on the NCI’s supercomputing facilities. The simulation was for December 2006 and comprised a global 5 km meteorology simulation and a 10 km continental scale and nested 3 km urban PM2.5 simulations. The model data set was output at hourly intervals, spanning the simulated month.Scientific Computing Visualisation extracted specific parameters from the dataset, which included fine particle concentrations generated from fires, dust, sea salt, vegetation and anthropogenic sources. Cloud cover was also extracted. Data processing included adjusting thresholds and scales to highlight the important structure in each parameter and display the relative contribution of each source to the total PM2.5. These images were processed in parallel on ASC's GPU supercomputing facility, producing several high-quality visualisations in a short period of time.For presentation and interactivity of the visualisation, a WebGL application was created. This allowed users to connect and interactively explore the simulated data. There are 5 movies in this collection:AllSourceThenUrbanGlob_ccam_5km_CordexGlobe_transparent_cloud_cover_sea_salt_on_blue_marbleGlomap_1Scientific_data_exploration_with hand gestures&rft.creator=Cope, Martin &rft.creator=Khoo, Jonathan &rft.creator=Lee, Sunhee &rft.creator=Thatcher, Marcus &rft.creator=Hibberd, Mark &rft.creator=Macaulay, Craig &rft.creator=Baker, Justin &rft.creator=Leak, Stephen &rft.creator=Taylor, John &rft.creator=Freeman, Justin &rft.date=2014&rft.edition=v3&rft.relation=http://dx.doi.org/10.1007/s10584-013-0866-5&rft.relation=http://dx.doi.org/10.1007/978-1-4614-9221-4_15&rft.relation=http://dx.doi.org/10.1007/978-94-007-5577-2_3&rft_rights=Creative Commons Attribution Noncommercial-No Derivatives 3.0 Unported Licence https://creativecommons.org/licenses/by-nc-nd/3.0/&rft_rights=Data is accessible online and may be reused in accordance with licence conditions&rft_rights=All Rights (including copyright) CSIRO Australia 2014.&rft_subject=visualisation&rft_subject=visualization&rft_subject=animation&rft_subject=air quality, PM2.5&rft_subject=air pollution&rft_subject=fine particle&rft_subject=atmosphere&rft_subject=Australia&rft_subject=Atmospheric aerosols&rft_subject=Atmospheric sciences&rft_subject=EARTH SCIENCES&rft.type=dataset&rft.language=English Access the data
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Creative Commons Attribution Noncommercial-No Derivatives 3.0 Unported Licence
https://creativecommons.org/licenses/by-nc-nd/3.0/

Data is accessible online and may be reused in accordance with licence conditions

All Rights (including copyright) CSIRO Australia 2014.

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A simulation of meteorology and fine particles (with a diameter < 2.5 um; PM2.5) was run on the NCI’s supercomputing facilities. The simulation was for December 2006 and comprised a global 5 km meteorology simulation and a 10 km continental scale and nested 3 km urban PM2.5 simulations. The model data set was output at hourly intervals, spanning the simulated month.

Scientific Computing Visualisation extracted specific parameters from the dataset, which included fine particle concentrations generated from fires, dust, sea salt, vegetation and anthropogenic sources. Cloud cover was also extracted. Data processing included adjusting thresholds and scales to highlight the important structure in each parameter and display the relative contribution of each source to the total PM2.5. These images were processed in parallel on ASC's GPU supercomputing facility, producing several high-quality visualisations in a short period of time.

For presentation and interactivity of the visualisation, a WebGL application was created. This allowed users to connect and interactively explore the simulated data.

There are 5 movies in this collection:
AllSourceThenUrban
Glob_ccam_5km_Cordex
Globe_transparent_cloud_cover_sea_salt_on_blue_marble
Glomap_1
Scientific_data_exploration_with hand gestures

Available: 2014-09-15

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  • Associated with Cope, M., Lee, S., Noonan, J., Lilley, B., Hess, D. and Azzi, M. Chemical transport model technical description. CSIRO Marine and Atmospheric Research, CAWCR Technical Report No. 015, 2009
    www.cawcr.gov.au/publications/technicalreports/CTR_015.pdf
  • Associated with Sydney Particle Study- Stage-II Martin Cope, Melita Keywood, Kathryn Emmerson, Ian Galbally, Kate Boast, Scott Chambers, Min Cheng, Suzanne Crumeyrolle, Erin Dunne, Rosemary Fedele, Rob Gillett, Alan Griffiths, James Harnwell, Jack Katzfey, Dale Hess, Sarah Lawson, Branka Miljevic, Suzie Molloy, Jenny Powell, Fabienne Reisen, Zoran Ristovski, Paul Selleck, Jason Ward, Chuanfu Zhang, Jianrong Zeng June 2014 ISBN: 978-1-4863-0359-5
    www.environment.nsw.gov.au/aqms/sydparticlestudy.htm
  • Associated with The Australian Air Quality Forecasting System. Part I: Project Description and Early Outcomes
    10.1175/2093.1
Subjects
Atmospheric Aerosols | Atmospheric Sciences | Australia | Earth Sciences | air pollution | air quality, PM2.5 | animation | atmosphere | fine particle | visualisation | visualization |

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Identifiers
ACN 633 798 857