| Determining the best CALMET option
settings to produce windfields in the surface layer
The surface
windfields produced by the CALMET meteorological model have been evaluated
for accuracy by comparison to an extensive data set of observations compiled
for the summer of 1999 for a domain in northern New England (Riley, 2002,
AWMA Publication). The observational data set consisted of surface measurements
from the ASOS sites in the National Weather Service network as well as
data from a few sites in a local MESONET network. The evaluation computed
directional and speed error for the CALMET windfield predictions paired
in space and time to the observation data set predictions. These error
estimates were categorized for a range of meteorological conditions and
site characteristics for the observational sites. In the evaluation the
CALMET model was run with many different combinations for values of the
parameter settings that most affect windfield generation in complex terrain
in an effort to determine the best settings for use on the domain. The
evaluation was performed for CALMET runs at a horizontal grid resolution
of 0.2 kilometers. The evaluation also examined the acceptability of usage
of these windfields for long-term air quality standards through temporally
independent assessments of model accuracy. Most significant final conclusions
are that the model underestimates speeds and that the directional error
of the model is much less at higher windspeeds. Inversely it may be concluded
that the National Weather Surface observations represent wind speeds higher
than those generally occurring in windfields over complex terrain because
the measurements are taken over airport plains.
In order to ascertain performance of the CALMET model
under different meteorological conditions which affect air pollutant dispersion
and mixing, hours during this summer period were each characterized by
one of twelve different meteorological categories. Meteorological categorization
was assigned for each hour at each site independently. The meteorological
categories assigned to each site-hr differ by wind speed, thermal stability,
and dewpoint temperature criteria. Wind speed and dewpoint were determined
from the ASOS data itself, and thermal stability was determined with the
surface temperature and the 850 mb. temperature from Albany, NY raw insonde
data. The thermal stability criteria involved making comparison to a critical
lapse rate of .005 deg C / meter as an inversion sufficient to cap vertical
mixing (Heffter, 1983). The categories are defined in detail in Table
1. Note that humidity is a defining variable only for the less stable
categories, i.e. daytime conditions, in an attempt to define air mass
origin. For stable, nighttime conditions it was assumed that the much
greater relative humidity was induced by radiational cooling, and not
relevant to air mass definition. In general, the potential for mixing
in the boundary layer increases with the category number.
Table 1. Criteria for Meteorological Categories.
Below some overall results are given from
this study after applying the meteorological categorization above.
| Meteorological
WDError
WDBias WSError
WSBias |
| Characteristic
Degrees
Degrees Knots
Knots |
| Low
Wind Speed
76.3
1.3
2.0
-0.3 |
| High
Wind Speed
48.6
-1.2
4.3
-3.2 |
| Stable
Conditions
72.7
2.4
2.5
-1.3 |
| Neutral
Conditions
55.4
-1.6
3.5
-1.9 |
| Unstable
Conditions 54.8
-3.3
3.6
-2.0 |
| Continental
Polar
53.3
-1.2
3.3
-1.6 |
| Maritime
Tropical
64.9
-4.5
4.8
-3.3 |
Here is an example plot of 24 comparative
runs which were conducted varying parameters sensitive to terrain effects
then ordering the runs from one to twenty four based on an overall measure
of model performance for each run.
Last Updated: 1/22/03
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