Title: Analysis of OTC Modeling Base
1Analysis of OTC Modeling Base
- RAMMPP Modeling Team
- Review of Application and Assessment of CMAQ in
OTR - November 16, 2005
- Outline
- Scatterplots of model-calculated and
aircraft-measured O3 - Flight-by-flight box plots
- Summary
- Episode Analysis (June 11 and/or August 12) Time
permitting
2 UMd Research Aircraft
- GPS Position (Lat, Long)
- Meteorology (T, RH, Pr, Palt)
- Carbon Monoxide (CO)
- Ozone (O3)
- Sulfur Dioxide (SO2)
- Aerosol Optical Properties
- Absorption, Bap (565 nm)
- Scattering, Bscat (450,550,700 nm)
- Particle Counts (CPC TSI 3007)
- Aerosol Particle Size (MetOne)
- 6 cuts range 0.31.0µm
- Aerosol Chemistry (PIXE Streaker)
Aircraft operated by University Research
Foundation
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20Summary of aircraft comparisons
- Overall (after removing fire flights),
CMAQ-calculated O3 concentrations are 4 too
high below 500 meters and 4-7 too low above 500
meters. - Model-calculated O3 on August 12th is much too
low throughout the sampled column. However, the
shape of column is captured ? . Bias does not
vary with altitude.
21Acknowledgements
- Met modeling Da-Lin Zhang, Shunli Zhang
- CMAQ modeling Jeff Stehr, Charles Piety, Gopal
Sistla NYDEC, and a cast of thousands - Emissions Sheryl Ehrman and Patti Castellanos
many others - This research was supported by Maryland
Department of the Environment under the RAMMPP
project
22Summary of surface layer comparisons
- Extremely good simulation of 1-hr (8-hr) maximum
O3. Rgt0.9. - Good simulation of 24-hr avg PM2.5
- CMAQ-calculated O3 concentrations have high bias
at night leading to a 10 high-bias in 24-hr avg
O3. Biases in 1-hr and 8-hr maximum O3 are
small. - CMAQ-calculated 1-hr maximum O3 concentrations
over MD are 10-15 too low during major pollution
events. - PM2.5 biases are small after removal of July fire
event. - Diurnal variation in O3 well simulated. No
obvious (eyeball norm) temporal shift in timing
of maxima/minima. - Spatial pattern of O3 pollution events is well
captured by CMAQ. - With a few exceptions, spatial pattern of PM2.5
events is also well captured.
23June 11, 2002 Weather and Air Quality
850 mb Geopotential Height (11 June, 2002)
24 Hr Back Trajectory (11 June, 2002)
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29August 12, 2002 Weather and Air Quality
850 mb Geopotential Height (12 August, 2002)
24 Hr Back Trajectory (12 August, 2002)
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35Comments on Derived Variables and Figures in
CMAQ/Aircraft Comparison Plots
How is Meters Above Sea Level (MASL) calculated
from model output?
- Model-calculated O3 was saved on the lowest 16
CMAQ layers. Following Kevin Civerolos (NYDEC)
and Shunli Zhangs (UMD) method, the centers of
these layers were assumed to be - 10, 24, 68, 116, 185, 282, 398, 544, 727, 949,
1212, 1523, 1886, 2312, 2820, 3393 Meters Above
Ground Level (MAGL) - To convert to meters above sea level, we added in
the surface elevation of - each grid point (HT_SFC). These data are
archived as part of MM5 output. - Therefore MASL MAGL HT_SFC
This approximation ignores spatial variations
in temperature. However, the approximation
should be satisfactory during the summer months
covered in this aircraft comparison.
36Comments on Derived Variables and Figures in
CMAQ/Aircraft Comparison Plots
How are pressures estimated for model output?
-The curtain plots use pressure as the vertical
coordinate. -The model pressures seen in these
plots were calculated assuming a surface pressure
of 1013.24 hPa. -Aircraft pressures were read in
from the RAMMPP data sets.
A more accurate specification of surface
pressure is desirable. In the interim, future
MDE curtain plots may use MASL as the vertical
coordinate.
37Comments on Derived Variables and Figures in
CMAQ/Aircraft Comparison Plots
How is model output extracted at the location of
aircraft measurements?
1. The longitude, latitude, pressure-altitude,
and time of individual aircaft samples are read
in from RAMMPP data sets. (RAMMPP data sets that
do not include longitude, and latitude are not
included in these plots.) 2. MASL is calculated
for gridded output. 3. The aircraft in then
flown through the model domain (x,y,z,t).
-For each aircraft sample, we determine the model
grid box that is closest in longitude (x),
latitude (y), and sample time (t). For these
values of x, y, and t, we then interpolate
linearly in height in the vertical (z) to obtain
our value.
38Comments on Derived Variables and Figures in
CMAQ/Aircraft Comparison Plots
What is a "XX-pt data smoother?"
- Model output is extracted at the location of
aircraft measurements. - 2. For each flight, model output and aircraft
measurements are sorted by - pressure.
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- 3. Successive, XX-pt moving averages are applied
to the model output, the - aircraft measurements, and the sampling
pressures until averaged values - are obtained for the entire profile. These
values are then plotted.
39Comments on Derived Variables and Figures in
CMAQ/Aircraft Comparison Plots
How are the "leaning tower" box plots created?
- 1. Model output is extracted at the location of
aircraft measurements. - 2. Model output and aircraft measurements are
binned into 1/4 km bins using - MASL.
-The measured-mean is shown by an asterisk.
-The mean plus and minus a standard deviation
is shown by the boxes. -The solid line shows
the mean of the model. -The thinner lines show
the model-mean plus and minus one standard
deviation.
40Comments on Derived Variables and Figures in
CMAQ/Aircraft Comparison Plots
Which flights are flagged as "fire"
flights? Flights 24 and 25 on July 8th were
flagged as "fire" flights.
Which flights did not include longitude/latitude
data? Flights 4 and 31. Output from these
RAMMPP flights were not included in
this analysis.