PAGE 1 Page1 The influence of MM5 nudging schemes on CMAQ simulations of benzo(a)pyrene concentrations and depositions in Europe lker Matthias, GKSS Research Center, Geesthacht, rmany
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The influence of MM5 nudging schemes on CMAQ simulations of benzo(a)pyrene
concentrations and depositions in Europe
Volker Matthias, GKSS Research Center, Geesthacht, Germany
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Volker Matthias, GKSS Research Center, Geesthacht,
Germany
Introduction
MM5 nudging schemes
Comparison to measurements
CMAQ model results for B(a)P and PM10
Conclusions
Outline
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Volker Matthias, GKSS Research Center, Geesthacht,
Germany
PAHs imperil humans and ecosystems– highly bioaccumulative (food chain)– persistent in various environmental compartments – significant adverse effects already at low doses
• carcinogenic• impair immune system• impair reproduction
Why PAHs ?
B(a)P
Object of international reduction conventions(Target values for air concentrations -
EU: 1 ng/m3 (annual average), UK: 0.25 ng/m3)
Emissions are likely to increase wood burning, ship traffic
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Volker Matthias, GKSS Research Center, Geesthacht,
Germany
18x18 km2 grid
54x54 km2 grid 30 vertical layers up to 100 hPa
Model domains
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Volker Matthias, GKSS Research Center, Geesthacht,
Germany
MM5 parameterizations
The use of MM5 at GKSS:
Kain Fritsch 2 convective cloud scheme MRF (Hong and Pan) PBL scheme Reisner 2 microphysics scheme Noah LSM ERA40 6-hourly boundary conditions (FDDA grid nudging with ERA40 fields)
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Volker Matthias, GKSS Research Center, Geesthacht,
Germany
Checking meteorological fields
Comparison to ascents from 88 radiosonde station from the igra data base (Durre et al., 2006).
RS data is interpolated to model levels. Mean deviation and correlation are calculated for each profile.
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Volker Matthias, GKSS Research Center, Geesthacht,
Germany
Test of nudging schemes
Cases:
•No nudging (no nudging)•No nudging, periodic restart (periodic)•Nudge only winds (nudge wind)•Nudge winds and temperature (nudge uvt)•Nudge winds, temperature and humidity (nudge all)•Nudge all, but use no LSM (nudge no LSM)•Nudge all with variable SST (nudge vsst)•Use subsets of layers (nudge all, 9L (12 L))
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Volker Matthias, GKSS Research Center, Geesthacht,
Germany
Test of nudging schemes: temperature
root mean square error / K mean difference / Knudge allperiodicnudge windno nudgingnudge uvtnudge no LSMnudge vsstnudge all, 9L (12 L)
0
5 3
-3
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Volker Matthias, GKSS Research Center, Geesthacht,
Germany
Test of nudging schemes: rel. humidity
root mean square error mean differencenudge allperiodicnudge windno nudgingnudge uvtnudge no LSMnudge vsstnudge all, 9L (12 L)
-0.2
0.4
0
0.2
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Volker Matthias, GKSS Research Center, Geesthacht,
Germany
Monthly mean of correlation and bias sorted by station: Rel. Humidity
Year 2000, mean correlation (Rel. Hum.)
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Volker Matthias, GKSS Research Center, Geesthacht,
Germany
U-wind V-wind
high temporal correlations at all heights (0.85 - 0.99)
Annual mean of vertical wind profiles
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Volker Matthias, GKSS Research Center, Geesthacht,
Germany
Comparison to wind-profiler data (CWINDE) mean vertical profiles (year 2000)
Lindenberg/D
Data from Myles Turp, UK Met Office
Pendine/UK
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Volker Matthias, GKSS Research Center, Geesthacht,
Germany
1000 100 10 1Period [hrs.]
1x10 -5
1x10 -4
1x10 -3
1x10 -2
1x10 -1
1x10 0
1x10 1
1x10 2
1x10 3
1x10 4
1x10 5
S(f
) UU
observationm odel, fu ll nudging
U -W ind, C am borne, 910 m , days 100 to 169, m 420
-5/3
Maximum-Entropy-spectra of the U-wind component
U-wind spectra from wind profilers vs. model results
Model/oberservations
1000 100 10 1Period [hrs.]
1x10 -5
1x10 -4
1x10 -3
1x10 -2
1x10 -1
1x10 0
1x10 1
1x10 2
1x10 3
1x10 4
1x10 5
S(f
) UU
m odel, C am borne, no nudging, 910 mm odel, C am borne, fu ll nudging, 910 mm odel, C abauw , nudging, 980 mm odel, C abauw , no nudging, 18 km grid , 980 m
U -W ind, days 92 to 121, m 360
-5/3
Model: influence of resolution and nudging
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Volker Matthias, GKSS Research Center, Geesthacht,
Germany
Effects on B(a)P concentrations
full nudging periodioc simulations
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Volker Matthias, GKSS Research Center, Geesthacht,
Germany
Effects on B(a)P depositions
full nudging periodioc simulations
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Volker Matthias, GKSS Research Center, Geesthacht,
Germany
Annual PM10
Time series of daily means at Neuglobsow/Germany, year 2000
mean bias -7.4 g/m3
corr coeff 0.52
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Volker Matthias, GKSS Research Center, Geesthacht,
Germany
Chemical composition at Melpitz/Germany
Sec. Organic Aer. underestimated, particularly in summer
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Volker Matthias, GKSS Research Center, Geesthacht,
Germany
Frequency distribution of PM10 measurements is log-normal.
Model results reveal the same distribution function.
PM10 frequency distribution function
Neuglobsow / Germany
Payerne/Switzerland
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Volker Matthias, GKSS Research Center, Geesthacht,
Germany
MM5 results were tested with different nudging schemes
Full nudging of T, RH, U and V permits close agreement with observations
Depending on horizontal grid scale, intraday variability of wind comp. is not resolved by the model
Deposition patterns can be highly sensitive to nudging/no nudging in MM5
PM10 results imply significant underestimation of organic aerosol in summer
Good results for sec. inorganic aerosols in Central Europe
Conclusions