Articles | Volume 12, issue 6
https://doi.org/10.5194/gmd-12-2195-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-12-2195-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Development and technical paper
| 
04 Jun 2019
Development and technical paper |
| 04 Jun 2019
| 04 Jun 2019
Development and evaluation of pollen source methodologies for the Victorian Grass Pollen Emissions Module VGPEM1.0
Kathryn M. Emmerson
CORRESPONDING AUTHOR
Climate Science Centre, CSIRO Oceans & Atmosphere, Aspendale. VIC 3195, Australia
Jeremy D. Silver
School of Earth Sciences, University of Melbourne, VIC 3010, Australia
Edward Newbigin
School of BioSciences, University of Melbourne, VIC 3010, Australia
Edwin R. Lampugnani
School of BioSciences, University of Melbourne, VIC 3010, Australia
Cenk Suphioglu
School of Life and Environmental Sciences, Deakin University, Waurn Ponds, VIC 3216, Australia
Alan Wain
Bureau of Meteorology, Docklands, VIC 3008, Australia
Elizabeth Ebert
Bureau of Meteorology, Docklands, VIC 3008, Australia
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Cited
14 citations as recorded by crossref.
- Evaluation of the performance of short-term curated daily airborne grass pollen forecasts in diverse biogeographical regions during the AusPollen Partnership project 2016–2020 K. Emmerson et al. 10.1016/j.aeaoa.2022.100183
- The perfect storm: temporal analysis of air during the world’s most deadly epidemic thunderstorm asthma (ETSA) event in Melbourne D. Price et al. 10.1177/17534666231186726
- A health inequality analysis of childhood asthma prevalence in urban Australia E. Cameron et al. 10.1016/j.jaci.2024.01.023
- Standardising pollen monitoring: quantifying confidence intervals for measurements of airborne pollen concentration B. Addison-Smith et al. 10.1007/s10453-020-09656-6
- A Clean Air Plan for Sydney: An Overview of the Special Issue on Air Quality in New South Wales C. Paton-Walsh et al. 10.3390/atmos10120774
- A Pilot Forecasting System for Epidemic Thunderstorm Asthma in Southeastern Australia T. Bannister et al. 10.1175/BAMS-D-19-0140.1
- Pollen forecasting and its relevance in pollen allergen avoidance C. Suanno et al. 10.1016/j.envres.2021.111150
- Temperature response measurements from eucalypts give insight into the impact of Australian isoprene emissions on air quality in 2050 K. Emmerson et al. 10.5194/acp-20-6193-2020
- Stochastic flowering phenology in Dactylis glomerata populations described by Markov chain modelling C. Frisk et al. 10.1007/s10453-020-09685-1
- Research Progress on Aerobiology in the Last 30 Years: A Focus on Methodology and Occupational Health A. Lancia et al. 10.3390/su13084337
- Using crowd-sourced allergic rhinitis symptom data to improve grass pollen forecasts and predict individual symptoms J. Silver et al. 10.1016/j.scitotenv.2020.137351
- Prediction of airborne pollen and sub-pollen particles for thunderstorm asthma outbreaks assessment S. Nickovic et al. 10.1016/j.scitotenv.2022.160879
- Atmospheric modelling of grass pollen rupturing mechanisms for thunderstorm asthma prediction K. Emmerson et al. 10.1371/journal.pone.0249488
- Importance of allergen–environment interactions in epidemic thunderstorm asthma K. Hughes et al. 10.1177/17534666221099733
14 citations as recorded by crossref.
- Evaluation of the performance of short-term curated daily airborne grass pollen forecasts in diverse biogeographical regions during the AusPollen Partnership project 2016–2020 K. Emmerson et al. 10.1016/j.aeaoa.2022.100183
- The perfect storm: temporal analysis of air during the world’s most deadly epidemic thunderstorm asthma (ETSA) event in Melbourne D. Price et al. 10.1177/17534666231186726
- A health inequality analysis of childhood asthma prevalence in urban Australia E. Cameron et al. 10.1016/j.jaci.2024.01.023
- Standardising pollen monitoring: quantifying confidence intervals for measurements of airborne pollen concentration B. Addison-Smith et al. 10.1007/s10453-020-09656-6
- A Clean Air Plan for Sydney: An Overview of the Special Issue on Air Quality in New South Wales C. Paton-Walsh et al. 10.3390/atmos10120774
- A Pilot Forecasting System for Epidemic Thunderstorm Asthma in Southeastern Australia T. Bannister et al. 10.1175/BAMS-D-19-0140.1
- Pollen forecasting and its relevance in pollen allergen avoidance C. Suanno et al. 10.1016/j.envres.2021.111150
- Temperature response measurements from eucalypts give insight into the impact of Australian isoprene emissions on air quality in 2050 K. Emmerson et al. 10.5194/acp-20-6193-2020
- Stochastic flowering phenology in Dactylis glomerata populations described by Markov chain modelling C. Frisk et al. 10.1007/s10453-020-09685-1
- Research Progress on Aerobiology in the Last 30 Years: A Focus on Methodology and Occupational Health A. Lancia et al. 10.3390/su13084337
- Using crowd-sourced allergic rhinitis symptom data to improve grass pollen forecasts and predict individual symptoms J. Silver et al. 10.1016/j.scitotenv.2020.137351
- Prediction of airborne pollen and sub-pollen particles for thunderstorm asthma outbreaks assessment S. Nickovic et al. 10.1016/j.scitotenv.2022.160879
- Atmospheric modelling of grass pollen rupturing mechanisms for thunderstorm asthma prediction K. Emmerson et al. 10.1371/journal.pone.0249488
- Importance of allergen–environment interactions in epidemic thunderstorm asthma K. Hughes et al. 10.1177/17534666221099733
Latest update: 22 Nov 2024
Short summary
We present the first representation of grass pollen in a 3-D dispersion model in Australia, tested using observations from eight counting sites in Victoria. The technology was developed in response to the severe thunderstorm asthma event which took place in Melbourne in November 2016. A total of 10 pollen emission methodologies were developed and evaluated. The best results were obtained using statistical methods that included elements of the satellite derived enhanced vegetation index.
We present the first representation of grass pollen in a 3-D dispersion model in Australia,...
