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      Atmospheric modelling of grass pollen rupturing mechanisms for thunderstorm asthma prediction

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          Abstract

          The world’s most severe thunderstorm asthma event occurred in Melbourne, Australia on 21 November 2016, coinciding with the peak of the grass pollen season. The aetiological role of thunderstorms in these events is thought to cause pollen to rupture in high humidity conditions, releasing large numbers of sub-pollen particles (SPPs) with sizes very easily inhaled deep into the lungs. The humidity hypothesis was implemented into a three-dimensional atmospheric model and driven by inputs from three meteorological models. However, the mechanism could not explain how the Melbourne event occurred as relative humidity was very low throughout the atmosphere, and most available grass pollen remained within 40 m of the surface. Our tests showed humidity induced rupturing occurred frequently at other times and would likely lead to recurrent false alarms if used in a predictive capacity. We used the model to investigate a range of other possible pollen rupturing mechanisms which could have produced high concentrations of SPPs in the atmosphere during the storm. The mechanisms studied involve mechanical friction from wind gusts, electrical build up and discharge incurred during conditions of low relative humidity, and lightning strikes. Our results suggest that these mechanisms likely operated in tandem with one another, but the lightning method was the only mechanism to generate a pattern in SPPs following the path of the storm. If humidity induced rupturing cannot explain the 2016 Melbourne event, then new targeted laboratory studies of alternative pollen rupture mechanisms would be of considerable value to help constrain the parameterisation of the pollen rupturing process.

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          The ERA-Interim reanalysis: configuration and performance of the data assimilation system

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            The NCEP/NCAR 40-Year Reanalysis Project

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              Epidemic asthma and the role of the fungal mold Alternaria alternata.

              After July 29, 2002, an epidemic of asthma admissions was associated with a thunderstorm in the United Kingdom. We sought to study the cause of epidemics of asthma associated with thunderstorms. We performed a case-control study of 26 patients presenting to Cambridge University Hospital with asthma after the thunderstorm. Control subjects were 31 patients with summer seasonal asthma. Subjects underwent skin tests and specific IgE serology to inhaled aeroallergens. Meteorologic and aerobiologic data correlated with asthma admissions were analyzed. Twenty-three of 26 cases had IgE sensitization to Alternaria species. Eleven of 31 control subjects gave a history of asthma exacerbation during thunderstorms. Ten of these 11 control subjects were sensitive to Alternaria species on skin testing, but Alternaria species sensitivity was only identified in 4 of the 20 remaining control subjects who did not report thunderstorm-related asthma symptoms. The odds ratio of having epidemic thunderstorm-related asthma if sensitive to Alternaria species was 9.31 (95% CI, 2.305-37.601; P = .0008) and 63.966 (95% CI, 3.577-1143.9; P < .0001) if sensitive to Alternaria species, Cladosporium species, or both. Poisson regression analysis showed that counts of broken Alternaria species and Didymella and Cladosporium species were significantly correlated with each other and with asthma admissions. The thunderstorm was associated with increased levels of Alternaria, Cladosporium, and Didymella species. Alternaria alternata sensitivity is a compelling predictor of epidemic asthma in patients with seasonal asthma and grass pollen allergy and is likely to be the important factor in thunderstorm-related asthma. Alternaria species sensitization in asthmatic subjects with grass pollen sensitivity predicts susceptibility to thunderstorm-associated asthma.
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                Author and article information

                Contributors
                Role: ConceptualizationRole: Formal analysisRole: InvestigationRole: MethodologyRole: Writing – original draft
                Role: SoftwareRole: Writing – review & editing
                Role: Software
                Role: Software
                Role: MethodologyRole: Writing – review & editing
                Role: Data curation
                Role: Data curation
                Role: Data curation
                Role: Data curation
                Role: Funding acquisitionRole: Writing – review & editing
                Role: Writing – review & editing
                Role: Editor
                Journal
                PLoS One
                PLoS One
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                14 April 2021
                2021
                : 16
                : 4
                : e0249488
                Affiliations
                [1 ] CSIRO Oceans and Atmosphere, Aspendale, Victoria, Australia
                [2 ] School of Mathematics and Statistics, University of Melbourne, Parkville, Victoria, Australia
                [3 ] Bureau of Meteorology, Docklands, Victoria, Australia
                [4 ] Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia
                [5 ] School of BioSciences, University of Melbourne, Victoria, Australia
                [6 ] Environmental Protection Authority Victoria, Macleod, Victoria, Australia
                National Sun Yat-sen University, TAIWAN
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Author information
                https://orcid.org/0000-0002-0727-0340
                Article
                PONE-D-20-27816
                10.1371/journal.pone.0249488
                8046208
                33852572
                ec09f1bb-1da2-4de7-8cc9-7436dd1de182
                © 2021 Emmerson et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 4 September 2020
                : 18 March 2021
                Page count
                Figures: 8, Tables: 1, Pages: 21
                Funding
                Funded by: funder-id http://dx.doi.org/10.13039/100012737, Department of Health and Human Services, State Government of Victoria;
                Award ID: C5949
                This research has been supported by the Victorian Department of Health and Human Services (contract no. C5949). https://www.dhhs.vic.gov.au/ The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Biology and Life Sciences
                Plant Science
                Plant Anatomy
                Pollen
                Earth Sciences
                Atmospheric Science
                Meteorology
                Storms
                Earth Sciences
                Atmospheric Science
                Meteorology
                Wind
                Earth Sciences
                Atmospheric Science
                Meteorology
                Humidity
                Medicine and Health Sciences
                Medical Conditions
                Respiratory Disorders
                Asthma
                Medicine and Health Sciences
                Pulmonology
                Respiratory Disorders
                Asthma
                Earth Sciences
                Atmospheric Science
                Meteorology
                Physical Sciences
                Materials Science
                Materials
                Dust
                Earth Sciences
                Atmospheric Science
                Atmosphere
                Earth Sciences
                Geography
                Physical Geography
                Atmosphere
                Custom metadata
                Measured whole grass pollen and pollen shell concentrations from Melbourne University available in S1 and S2 Tables. Radiosonde data sourced from University of Wyoming: http://weather.uwyo.edu/upperair/sounding.html. Hourly PM10 and PM2.5 observations sourced from Environmental Protection Authority Victoria: https://discover.data.vic.gov.au/dataset/epa-air-watch-all-sites-air-quality-hourly-averages-yearly/historical. Code for VGPEM is available at: https://gmd.copernicus.org/articles/12/2195/2019/gmd-12-2195-2019-supplement.pdf. Radiosonde data sourced from University of Wyoming: http://weather.uwyo.edu/upperair/sounding.html.

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