Transboundary Modelling of Particulate Matter with REMOTE- Saji Varghese, NUIG
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Presentation from EPA Transboundary Research Workshop, Galway, 8th and 9th September 2010.
![Motivation Impact on human health Aerosols contribute to climate change Tool for researchers and policy-makers Different models ,[object Object]](data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7)
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Transboundary Modelling of Particulate Matter with REMOTE- Saji Varghese, NUIG
- 1. Transboundary Modelling of Particulate Matter with REMOTE Saji Varghese Centre for Climate and Air Pollution Studies and School of Physics, National University of Ireland, Galway
- 3. Chemistry transport models (CTMs)
- 7. Vertical levels - 19
- 8. Time step - 5 min
- 9. Domain - Western Europe and North East Atlantic
- 10. Emission - EMEP and organic-inorganic source function
- 13. Secondary Organic Aerosol (SOA) in the Marine Environment (Antilla et al., 2010) Isoprene source function Isoprene concentration in sea water is proportional to chlorophyll-a concentration (Meskhidze and Nenes, 2006) Isoprene flux =product of isoprene concentration and gas exchange coefficient (Palmer and Shaw, 2005) isoprene oxidation products as major SOA precursors SOA formation based on Henry’s law
- 14. SOA: Six additional components in M7 - isoprene oxidation products as SOA precursors - SOA formation based on Henry’s law
- 16. Eyjafyalla volcano eruption April-May 2010 disruption to air-traffic Economic losses to airlines, insurance companies, logistics operations, tourism industry Initial forecasts from VAAC – using NAME model - 4mg/m3 limit - 2mg/m3 limit - Forecasting with REMOTE – an additional tool - air-quality
- 17. Development of volcanic ash forecasting system boundary data preparation from ECMWF forecast data and analysis model development and source term parameterisation volcano source data gathering and assimilation comparison with other dispersion models continual refinement of the model for improving forecasts forecasts issued twice daily automation
- 18. Key input parameters and associated uncertainties for models Source term (key eruption parameters) Mass flux vertical distribution of mass column height particle size distribution density
- 19. Sample 4-day forecast Spatial distribution of volcanic ash (mg/m2) Horizontal resolution: 0.5o(~50 km), 81x91 grid points Vertical levels : 19 Time step: 5 min Boundary data: ECMWF forecast Emission source: Iceland Met office
- 20. Volcano ash forecasting system
- 21. Comparison of REMOTE model output with NAME results
- 22. Sensitivity tests – (i) Spatial distribution
- 24. Conclusions state-of-the art modelling system to determine atmospheric chemical composition an integrated air-quality forecast system will be developed and evaluated a useful research tool to study implication of climate change on air-quality
- 25. Acknowledgements Met Eireann ICHEC Modelling Team (NUI Galway) - Damien Martin, Robert Flanagan, Liz Coleman and Colin O’Dowd BaerbelLangmann (Univ. of Hamburg) and TatuAntilla (FMI, Helsinki) EPA