Modelling perspective: Key limitations of current country projection data in transboundary modelling PowerPoint PPT Presentation

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Title: Modelling perspective: Key limitations of current country projection data in transboundary modelling


1
Modelling perspective Key limitations of current
country projection data in transboundary
modelling activities. What improvements are
needed?
  • Jan Eiof Jonson and Leonor Tarrason

2
Why do you need EMEP model results on projections?
  • Input to national implementation plans and
    procedures.
  • Information on the chemical weather regime in
    2020.

3
Projections presently used in the EMEP model1
value per country per sector Ancillary data used
per sector


Meteorologisk Institutt met.no
4
What data are now missing?
  • Information on relevant NFR sectors
  • Spatial distribution information (gridding)
  • Expected seasonal variations

5
My interpretationAre there inconsistencies
and/or effects that you should be aware of?
  • I will not talk about uncertainties in emission
    estimates
  • Seasonal cycles in emissions (sector)
  • NO/NO2 ratios
  • Changes in emissions from ships (and aviation)
  • Underlying trends (Ozone)
  • (Changes in) landuse, natural PM, biomass burning
  • Meteorological variability (and trends?)

6
Different sectors different seasonal cycles
Changes between sectors. Does it matter when
you emit???
7
Calculated difference in NO2 in µg m-3, 1990 -
2002
  • Summer (June, July, August)
  • Winter (January, February)

8
Em1990 scenarioDecrease in summer ozone.
Increase north of the Alps in winter.
9
Does the NO/NO2 ratio matter in the emissions?
10
Effect of particle trap on NO2 concentrations
2020 emissions
11
Difference in PM2.5 and somo35 caused by changes
in NO/NO2 ratio
2020 emissions
12
2020 Emissions in sea areas ( inside 12 mile
zone in red)
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SOx emissions from ships in Mg
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Effects on Belgium (perturbations scaled to 100)
15
Effects on ItalyPerturbations scaled to 100
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Ozone trends at Mace Head
From Simmonds et al. (2004)
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AvgBC scenario Effect of Mace Head correction
Summer
Winter
Mace Head (IE31)
Waldhof (DE02
Obs.
Model
No MH
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Conclusions
  • Effects to be aware of
  • Sector emissions seasonal cycles
  • Underlying trends Background ozone, biomass
    burning, global change
  • Meteorological variability
  • What is missing?
  • Need projections by sector (reported in NFR)
  • Gridded projections (by sector)
  • Emissions from ships (routing)

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MEAN SURFACE OZONE ENHANCEMENTS FROM
ANTHROPOGENIC NOx AND NMVOC EMISSIONS BY
DIFFERENT CONTINENTS
GEOS-CHEM model, July 1997
North America
Europe
Asia
Li et al. 2002
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Main features of the EMEP model
  • 3D Eulerian model
  • Polar stereographic projection
  • 132x111 grid. 50kmx50km resolution
  • 20 vertical layers
  • HIRLAM50 meteorology
  • Botts advection scheme
  • 20 minutes master timestep, 12 substeps for
    chemistry
  • Dry and wet deposition
  • 71 chemical compounds, whereof 15 short-lived
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