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TEMIS – VITO activities

TEMIS – VITO activities. Felix Deutsch Koen De Ridder Jean Vankerkom. VITO – Flemish Institute for Technological Research Mol, Belgium. Contents. Short overview of the BelEUROS-modelling system Results reached in TEMIS - Improvement of boundary conditions for BelEUROS

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TEMIS – VITO activities

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  1. TEMIS – VITO activities • Felix Deutsch • Koen De Ridder • Jean Vankerkom • VITO – Flemish Institute for Technological Research • Mol, Belgium

  2. Contents • Short overview of the BelEUROS-modelling system • Results reached in TEMIS - Improvement of boundary conditions for BelEUROS - Contribution of LRTAP to air quality in Belgium • Possible future contributions to TEMIS

  3. Overview of the BelEUROS-modelling system • EUROS created by RIVM (Netherlands) for modelling of ozone • in Belgium implemented in 2001 for ozone • in 2004/2005 BelEUROS extended by VITO with two modules for modelling • additionally primary and secondary particulate matter (PM10, PM2.5) • Meteo: ECMWF (T, rH, wv+wd, CC, PR, mixing layer height) • Emissions: EMEP/CORINAIR; additionally local emission inventories • with higher resolution, e.g. for Belgium • Chemistry: for O3, NOx: Carbon Bond IV (CB-IV) gas phase mechanism, for PM10, PM2.5: CACM + aerosol module MADRID 2 • Resolution: horizontal: 60 km/15 km or 7.5 km; • vertical: 4 layers (chemistry), 14 layers: advection

  4. Overview of the BelEUROS-modelling system

  5. Overview of the BelEUROS-modelling system refined grid: resolution 15 km x 15 km (or 7.5 km x 7.5 km)

  6. Overview of the BelEUROS-modelling system • 6 pollutants NOx VOC SO2 NH3 PM2.5 PM10-2.5 • 8 emission sectors residential sources refineries agriculture traffic industry solvents nature combustion

  7. Results reached in TEMIS required input data: • meteorology: 3-D fields of wind speed & direction, temperature, humidity, cloud cover, precipitation, mixing height (ECMWF) • emissions: per pollutant (NOx, VOCs, …) and per sector (traffic, industry, biogenic) but additionally • boundary conditions: concentrations of O3, NO2 and all other chemical species at the boundaries of the model domain (up to now climatological values);these lateral boundary values were specified as long-term (monthly) mean concentrations), but no actual concentrations for a certain period

  8. Results reached in TEMIS Methodology for improved boundary conditions for the BelEUROS-model • Retrieval of 3-D concentration fields of all chemical species of the CB-IV mechanism from the TM4 model and interpolation to the lateral grid cells of BelEUROS to replace the climatologies

  9. Results: Improved BC Ozone concentrations at the Western boundary of the BelEUROS domain simulated by TM4

  10. Results: Improved BC Ozone: Comparison of TM4 BC and BelEUROS climatology

  11. Results: Improved BC NO2 concentrations at the Western boundary of the BelEUROS domain as simulated by TM4

  12. Results: Improved BC TM4: Episode of transatlantic NO2-transport

  13. Results: Improved BC NO2: Comparison of TM4 BC and BelEUROS climatology

  14. Results: Improved BC Bias: -27,1 % (Clim.); -9,1 % (TM4)

  15. Results: Improved BC Bias: -44,9 % (Clim.); -24,5 % (TM4)

  16. Results: Contribution of LRTAP Impact of transatlantic O3 transport on European air quality (O3) BE: 37 % annual mean contribution

  17. Results: Contribution of LRTAP Impact of transatlantic O3 transport on European air quality (NO2) BE: 6.5 % annual mean contribution; increasing O3 background can lead to non-attainment of EU limit value for NO2 by changing theNO/NO2-ratio!

  18. Results: Contribution of LRTAP Impact of transatlantic NO2 transport on European air quality (NO2)

  19. Results: TEMIS website Impact of transatlantic NOx transport on European air quality (O3)

  20. Conclusions • Nesting of the components of the ozone chemistry of BelEUROS into TM4 concentration fields resulted in more realistic representation of long range transport of air pollutants in BelEUROS simulations. • This improved the model performance, e.g. of ozone simulations in winter/spring/autumn. • Calculations showed the high impact of transatlantic O3-transport on annual mean O3- and NO2-concentrations in Europe. Transatlantic NO2-transport can have an impact on NO2-concentrations during episodes. • 4) Model performance would certainly benefit from a further improvement of boundary conditions by using Earth Observation data, also for the fine particulate matter species.

  21. Possible future contributions to TEMIS • Further improvement of boundary conditions for the BelEUROS model: • nesting of the fine particulate matter version of BelEUROS into TM4 concentration fields (PM2.5, NH4+, SO42-, NO3-) • using Aerosol Optical Depth (AOD) data for improved boundary conditions, taking LRT of fine particulate matter into consideration • using tropospheric ozone data for improved boundary conditions and LRT of ozone

  22. Possible contributions to TEMIS II Daily forecast of PM10 concentrations for the Belgian Interregional Environment Agency:These forecasts only use local information and suffer from the lack of information on long range transport of PM10 • Improvement of PM10 forecasts using AOD observations from satellites, especially for taking e.g. Sahara dust, forest fires and biomass burning into consideration

  23. Possible contributions to TEMIS II • Detection of upcoming PM clouds: • Combination of forecast model with trajectory model and AOD data • combine AOD EO data with forecasted back trajectories by e.g. Flextra/Flexpart • This would permit the detection of upcoming PM clouds

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