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Supplementary material for “The effect of smoke emission amount on changes in cloud
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properties and precipitation: A case study of Canadian boreal wildfires of 2007”
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Zheng Lu and Irina N. Sokolik
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School of Earth and Atmospheric Sciences, Georgia Institute of Technology, 311 Ferst Drive,
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Atlanta, Georgia, 30332-0340, USA
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Table S1. WRF-Chem-SMOKE configurations selected for the present study
Model aspect
Grid
Setting
Arakawa C grid; Horizontal grid: Δx=Δy=5km,
842 (EW)×602(SN) grids; 36 vertical layer
Meteorology initialization
NCEP Global Forecast System (GFS) reanalysis data
Time step
20 seconds
Simulation period
20-25 July, 2007
Microphysics
Morrison two-moment scheme
Radiation
RRTM longwave radiation scheme
Goddard shortwave radiation scheme
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Cumulus
No cumulus parameterization
Land surface
NOAH land surface model
Planetary boundary layer
YSU PBL scheme
Gas chemistry
CBM-Z gas chemistry module
Aerosol
MOSAIC aerosol module
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Meteorological evaluations of WRF-Chem-SMOKE
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Meteorological fields modeled with WRF-Chem-SMOKE were extensively validated against
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data from ground-based meteorological stations provided by the Canadian National Climate Data
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and Information Archive (http://www.climate.weatheroffice.gc.ca/climateData/canada_e.html).
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Daily mean data of surface temperature, sea level pressure, and wind speed for 22, 23, and 24
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July 2007 from about 300 stations were compared to model outputs (the SMOKE10 case) of
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corresponding model grids (see Figures S1-S3). In addition, we perform regression and
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correlation analyses, the results of which are summarized in Table S2.
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Figure S1. Observed vs. modeled surface temperatures on 22, 23, and 24 July 2007. Blue lines
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indicate the regression lines.
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Figure S2. Observed vs. modeled sea level pressure on 22, 23, and 24 July 2007. Blue lines
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indicate the regression lines.
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Figure S3. Observed vs. modeled wind speed on 22, 23, and 24 July 2007. Blue lines indicate
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the regression lines.
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Table S2. The results of regression and correlation analyses between observations (X) and model
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outputs (Y) for surface temperature, sea level pressure, and wind speed on 22, 23, and 24 July.
Intercept of
Correlation
No. of model
regression
coefficient
grids (stations)
Slope of regression
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Surface temperature (22 July)
0.68
6.7
0.70
340
Surface temperature (23 July)
0.70
6.4
0.72
356
Surface temperature (24 July)
0.74
6.27
0.70
350
Sea level pressure (22 July)
0.91
82.5
0.92
240
Sea level pressure (23 July)
0.87
133.6
0.93
274
Sea level pressure (24 July)
0.81
185.9
0.87
267
Wind speed (22 July)
0.44
2.7
0.61
328
Wind speed (23 July)
0.57
2.0
0.62
342
Wind speed (24 July)
0.58
1.9
0.64
340