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Air quality over Central Europe Simulation with MC2AQ Contribution to CityDelta Project

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CityDelta Meeting - Matera, 27 - 29 of October 2003. Air quality ... Large domain impact of synoptic scale meteorology and long range transport of precursors ... – PowerPoint PPT presentation

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Title: Air quality over Central Europe Simulation with MC2AQ Contribution to CityDelta Project


1
Air quality over Central Europe Simulation with
MC2-AQ Contribution to CityDelta Project
  • Joanna Struzewska and Lech Lobocki,
  • Institute of Environmental Engineering Systems
  • Warsaw University of Technology
  • Jacek W. Kaminski
  • York University, Toronto, Canada
  • WWW.MAQNet.ca

2
Outline
  • Model description
  • Planned model configuration
  • Current model configuration
  • Initial and boundary conditions
  • Emission inventories
  • Preliminary results
  • Model validation
  • Conclusions

3
MULTISCALE AIR QUALITY MODELLING SYSTEM GEM-AQ /
MC2-AQ
  • Joint project between
  • Institute of Environmental Engineering Systems
  • Warsaw University of Technology
  • York University, Toronto, Canada
  • Department of Earth and Atmospheric Science
  • Multiscale Air Quality Modelling Network
    (www.maqnet.ca)
  • (sponsored by the Canadian Foundation for
    Climate and Atmospheric Sciences www.cfcas.org)

4
GEM Host Meteorological Model
  • Global Environmental Multiscale model
  • (Côté at al. 1998)
  • Operational execution on 0.9ox0.9o global grid
  • 3D-VAR continuous objective analysis (Gauthier et
    al.)
  • 5 and 10 day weather forecasts global
  • 48 hour regional forecast over North America
  • Vertical resolution 28 hybrid levels
  • Top at 10 mb … research version up to 0.1 mb
  • Coupled with full physics

5
MC2- Host Meteorological Model
  • MC2 - "Mesoscale Compressible Community model
  • (Robert et al., 1985 Tanguay et al., 1990
    Benoit et al., 1997)
  • Used for Mesoscale Alpine Program (MAP)
  • Wind energy assessment (mining)
  • Highly flexible and scaleable to be run on
    10000x10000 grid point on Earth Simulator in
    Japan this summer

6
Air Quality Module
  • Gas phase chemistry
  • Biogenic emissions
  • Anthropogenic emissions
  • Aerosol chemistry and physics
  • Dry and wet removal
  • Wet chemistry

7
GEM-AQ / MC2-AQ Current projects and applications
  • Application of MC2-AQ and Weather Research and
    Forecasting (WRF) Model to air quality modelling
    in Mexico City, Mexico.
  • Application of MC2-AQ to air quality modelling in
    Lower Fraser Valley, British Columbia, Canada and
    comparison with observation from Pacific 2001
    field study.
  • Global simulation of persistent organic
    pollutants.
  • Simulation of Asian dust transport to North
    America.
  • Chemical data assimilation

8
MC2-AQ over Europe Current projects and
applications
  • Impact of large scale meteorological conditions
    on the formation of high ozone concentration in
    the lower troposphere
  • Model study of the transport and transformation
    of ozone and its precursors in the frontal zone
  • Impact of the emission reduction on summer smog
    episodes in urban areas. The model study. (State
    Committee for Scientific Research project)
  • CITY DELTA European Modelling Exercise. An
    Inter-comparison of long-term model responses to
    urban-scale emission-reduction scenarios
  • ESCOMPTE Modelling Exercise model evaluation

9
MC2-AQ over Europe sample results regional scale
  • Frontal passage - August 1990
  • MC2-AQ self-nesting

10
MC2-AQ over Europe sample results regional scale
Summer smog episode June 2000 MC2-AQ
self-nesting
11
MC2-AQ over Europe sample results local scale
Summer smog episode - August 2001 GEM-AQ
MC2-AQ cascade mode
GEM-AQ
MC2-AQ
0.66? Variable global 20 km
5 km
12
CityDelta Project
13
Planned model setup
  • Cascade mode (GEM-AQ ? MC2-AQ)
  • Boundary conditions from GEM-AQ
  • 20 km resolution simulation over Europe
  • 3 km resolution simulation over Central
    Europe
  • Cascade mode (MC2-AQ - self nesting)
  • Objective analysis from CMC
  • Chemical boundary conditions from global CTM
  • 60 km resolution simulation over Europe
  • 15 km resolution simulation over Europe
  • 3 km resolution simulation over Central Europe

14
Current model setup
  • Initial and boundary meteorological fields - MC2
    simulation over Europe on the 171 x 171 grid with
    20 km resolution (CMC OA)
  • Initial and boundary conditions for chemical
    species from EMEP model
  • EMEP (50 km) CityDelta detailed emission
    inventories
  • MC2-AQ simulation 255 x 250 grid with 3 km
    resolution
  • Three CityDelta domains included Berlin, Prague
    and Katowice

15
Model domains
16
Initial and boundary conditions
  • Interpolated from EMEP model
  • 22 x 19 grid points 45 km resolution
    (polar-stereographic projection)
  • Averaged seasonal model height (up to 20 km)
  • Processing
  • Vertical interpolation (linear)
  • Conversion to MC2-AQ chemical speciation

17
Initial and boundary condition
1.04.1999, 00 GMT, lowest model layer
O3
NO2
18
Initial and boundary condition
O3
High ozone concentration above BL
19
Initial and boundary condition
24 A3 C 12005 0 0 40199000 EMEP_DAT
Mean0.221414E-10 Var0.566244E-10 Min( 17,
18)0.2000E-12 Max( 16, 6)0.9840E-09 25 A3
C 12016 0 0 40199000 EMEP_DAT
Mean0.221414E-10 Var0.566244E-10 Min( 17,
18)0.2000E-12 Max( 16, 6)0.9840E-09 26 A3
C 12036 0 0 40199000 EMEP_DAT
Mean0.223739E-11 Var0.509639E-11 Min( 12,
19)0.0000E00 Max( 16, 6)0.6945E-10 27 A3
C 12059 0 0 40199000 EMEP_DAT
Mean0.113464E-11 Var0.213035E-11 Min( 12,
19)0.0000E00 Max( 16, 6)0.2626E-10 28 A3
C 12089 0 0 40199000 EMEP_DAT
Mean0.207104E-11 Var0.373927E-11 Min( 12,
19)0.0000E00 Max( 16, 6)0.4083E-10 29 A3
C 12126 0 0 40199000 EMEP_DAT
Mean0.210238E-11 Var0.380119E-11 Min( 11,
17)0.0000E00 Max( 16, 6)0.4101E-10 30 A3
C 12172 0 0 40199000 EMEP_DAT
Mean0.118701E-11 Var0.212740E-11 Min( 11,
18)0.0000E00 Max( 16, 6)0.2302E-10 31 A3
C 12230 0 0 40199000 EMEP_DAT
Mean0.469477E-12 Var0.858482E-12 Min( 11,
18)0.0000E00 Max( 16, 6)0.9187E-11 32 A3
C 12301 0 0 40199000 EMEP_DAT
Mean0.000000E00 Var0.000000E00 Min( 1,
1)0.0000E00 Max( 1, 1)0.0000E00 33 A3
C 12390 0 0 40199000 EMEP_DAT
Mean0.000000E00 Var0.000000E00 Min( 1,
1)0.0000E00 Max( 1, 1)0.0000E00 34 A3
C 12501 0 0 40199000 EMEP_DAT
Mean0.000000E00 Var0.000000E00 Min( 1,
1)0.0000E00 Max( 1, 1)0.0000E00 35 A3
C 12639 0 0 40199000 EMEP_DAT
Mean0.000000E00 Var0.000000E00 Min( 1,
1)0.0000E00 Max( 1, 1)0.0000E00 36 A3
C 12811 0 0 40199000 EMEP_DAT
Mean0.768094E-15 Var0.842988E-15 Min( 12,
14)0.4957E-17 Max( 3, 1)0.4762E-14 37 A3
C 13026 0 0 40199000 EMEP_DAT
Mean0.923145E-14 Var0.927673E-14 Min( 13,
14)0.8073E-16 Max( 1, 6)0.5219E-13 38 A3
C 13293 0 0 40199000 EMEP_DAT
Mean0.144458E-13 Var0.142572E-13 Min( 14,
18)0.1471E-15 Max( 1, 12)0.7310E-13 39 A3
C 13626 0 0 40199000 EMEP_DAT
Mean0.180247E-13 Var0.180217E-13 Min( 11,
18)0.2838E-15 Max( 1, 14)0.8674E-13 40 A3
C 14040 0 0 40199000 EMEP_DAT
Mean0.305543E-13 Var0.305417E-13 Min( 22,
1)0.2575E-14 Max( 1, 1)0.1324E-12 41 A3
C 14557 0 0 40199000 EMEP_DAT
Mean0.379350E-13 Var0.123955E-13 Min( 20,
4)0.1725E-13 Max( 10, 2)0.7342E-13 42 A3
C 15200 0 0 40199000 EMEP_DAT
Mean0.116980E-09 Var0.126250E-10 Min( 8,
19)0.7328E-10 Max( 8, 6)0.1260E-09 43 A3
C 15801 0 0 40199000 EMEP_DAT
Mean0.117561E-09 Var0.128106E-10 Min( 8,
19)0.7570E-10 Max( 8, 6)0.1260E-09
Raw EMEP data
105 53 10.3000 47.6800 1999 1 4 1
00 0.507E02 0.000E00 0.105E-01 0.235E00
0.229E-02 0.100E-06 0.274E-01 0.510E-01 0.140E01
0.708E00 0.400E-04 0.300E-06 0.200E-04 0.000E00
0.253E-01 0.601E03 0.902E02 0.780E-02 0.000E00
0.000E00 0.000E00 0.376E-01 0.000E00 0.400E-04
0.000E00 0.124E00 0.317E00 0.940E-03 0.160E-03
0.380E-04 0.554E02 0.000E00 0.107E-01 0.249E00
0.320E-02 0.000E00 0.315E-01 0.532E-01 0.142E01
0.682E00 0.240E-03 0.100E-05 0.100E-03 0.000E00
0.278E-01 0.601E03 0.950E02 0.106E-01 0.000E00
0.400E-04 0.200E-04 0.439E-01 0.000E00 0.210E-03
0.600E-03 0.120E00 0.381E00 0.540E-02 0.970E-03
0.140E-03 0.527E02 0.000E00 0.180E-01 0.286E00
0.380E-02 0.000E00 0.771E-01 0.579E-01 0.161E01
0.558E00 0.190E-03 0.100E-05 0.800E-04 0.000E00
0.470E-01 0.601E03 0.975E02 0.960E-02 0.000E00
0.300E-04 0.200E-04 0.574E-01 0.000E00 0.180E-03
0.500E-03 0.141E00 0.499E00 0.520E-02 0.800E-03
0.100E-03
20
Initial and boundary condition
NO
NO 0 !!! over the entire domain
21
Emission inventories
  • EMEP emission inventory 50 x 50 km
  • Detailed city inventories
  • Berlin 2 x 2 km, variable in vertical
  • Prague 5 x 5 km, no vertical variation,
  • Katowice 5 x 5 km, variable in vertical only
    small part of the CityDelta domain

22
Emission inventories - problems
  • Different treatment of emission sources
  • Different maximum values in urban area
  • Different resolution
  • Overestimated EMEP emissions
  • Final emission field not consistent

23
Emission field (NO - ground level)
24
Preliminary results
  • 1 - 15 of April 1999
  • O3 (ppb) - bottom layer (20 m)
  • NO and NO2 (ppb) - bottom layer (20 m)
  • Meteorological parameters (temperature, pressure,
    wind speed and direction)
  • Hourly values

25
Surface ozone, 1 15 April 1999
26
Surface NOx, 1 15 April 1999
27
Surface ozone time series
Berlin
28
Surface ozone time series
Katowice
29
Surface ozone time series
Prague
30
O3 (ppb) - Berlin Comparison with measurements
31
O3 (ppb) - Berlin Comparison with measurements
32
O3 (ppb) - Katowice Comparison with measurements
33
O3 (ppb) - Prague Comparison with measurements
34
NO (ppb) Comparison with measurements
Katowice
Prague
35
Issues
  • Large domain ? impact of synoptic scale
    meteorology and long range transport of
    precursors
  • Urban heat island parameterisation
  • 2 - 5 km ? resolved scale
  • different dynamical and chemical processes
  • Consistent emission inventories
  • Model performance during episodes - how much
    episodes influence AOT40 values ?

36
Conclusions
  • Planned improvements for MC2-AQ
  • Test run performed with IC/BC from GEM-AQ (EMEP
    values too low)
  • Additional cascade run (10 km resolution) - IC/BC
    improvement for 3 km resolution run
  • UHI parameterisation in MC2-AQ (Martilli, 2001)
  • evaluation of vertical mixing and deposition
    parameterisation (ESCOMPTE Modelling Exercise)
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