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Data Analysis and Comparison between the Meteorological
Tower and Acoustic Sounder in Lewiston, Idaho
P.I.: D. Koracin
Duration: May 96 - September 96
Agency: Idaho Department of Health and Welfare - Division of Environmental
Quality, 1410 North Hilton, Boise, ID 83706-1255
The acoustic sounder in Lewiston (western Idaho) was operational
for a limited time from 10 January to 9 July 1995, while the meteorological
tower is in continuous operation at the same location. Besides generating
detailed statistics and tables, the study provided a comparison
between these two systems. Analysis of the comparison between the
tower and the acoustic sounder data in Lewiston showed a fairly
good agreement between these two different types of measurements.
Correlation coefficients were generally between 0.7 and 0.8 for
wind speed and between 0.6 and 0.7 for wind direction. A frequency
distribution of the wind direction indicated the characteristics
of the wind regime in the area, with significant westerly flow during
the nighttime and more westerly than easterly flow during the day.
Sodar also measured more frequent lower and higher wind speeds compared
to tower measurements. The study also revealed that there is a possible
technical problem with the sensor at 245 m AGL. All this information
is needed to calculate the transport and dispersion of atmospheric
pollutants in this area. The same method of analysis was applied
to a sodar that was located in Pocatello from 18 December 1994 to
28 February 1995. The average wind speeds were generally less than
7 m/s and the dominant flows were southeasterly.
Initial Forecasting of Mesoscale Atmospheric Phenomena
in the Truckee Meadows Basin Using a Numerical Model
P.I.: D. Koracin (P.I); M. Cairns (NWS) (co P.I.)
Duration: December 95 - May 96
Agency: University Cooperation for Atmospheric Research (UCAR) and
National Oceanographic and Atmospheric Agency (NOAA) - COMET Program
The main objective of this study was to set up and evaluate a regional
mesoscale numerical model for the prediction of the atmospheric
flows in the complex topography of the Truckee Meadows basin and
simulate a case study using data from an intensive field program
and the available NWS network data. In order to provide a look at
the mesoscale features in the Truckee Meadows basin, we used the
Colorado State University's Regional Atmospheric Modeling System
(RAMS). The RAMS model was run with a horizontal resolution of 1
km on the nested grid centered at Reno. The model results determined
the level of the coupling of the basin flow with synoptic flow,
which is a critical parameter for the study of winter inversions
and stagnant conditions associated with significant impacts on the
estimation of and prediction of air quality.
Characterization of Stable and Low Wind Speed Meteorological
Conditions Conducive to Wintertime CO Buildup in the Truckee Meadows
Basin
P.I.: D. Koracin (P.I.); D. Egami (co P.I.)
Duration: February 95 - June 95
Agency: Washoe County Health Department
The purpose of this study was to characterize the meteorological
conditions that lead to high CO concentrations in the Truckee Meadows
Basin. The primary objective of the proposed study was to characterize
and explain the three-dimensional structure of the atmosphere in
the Reno Basin during the buildup and disintegration of high wintertime
CO episodes. As a second objective, model results provided realistic
wind fields for possible input to urban air quality grid models
such as UAM. The peak in CO concentrations usually does not correlate
directly with the peak in CO emissions, a fact which we must attribute
to local meteorology. Available information from the National Weather
Service is based on synoptic observations and does not include small-scale
topography and circulation patterns, which are essential mechanisms
of the atmospheric flow in complex terrain. Upper flow is consequently
less significant in its effects on local meteorology and air quality
during conditions of winter inversion with low winds. Surface stations
supply valuable information, but do not show the horizontal and
vertical variability of wind, temperature and turbulence fields.
The Regional/mesoscale Atmospheric Modeling System (RAMS) was used
in this study to resolve topography and atmospheric features on
a scale of 2-3 km. Model results determined the level of coupling
of the basin flow with synoptic flow, which is a critical parameter
for winter inversions and stagnant conditions associated with significant
levels of CO concentrations. Simulated wind and temperature fields
as well as inversion depth will be also used as an improved input
for UAM modeling in a future step.
Modeling of Atmospheric Flow over Complex Terrain in
Southern Idaho
P.I.: D. Koracin (P.I.); Judy Chow (co P.I.)
Duration: January 95 - September 96
Agency: Idaho Department of Health and Welfare - Division of Environmental
Quality, 1410 North Hilton, Boise, ID 83706-1255
For the first time in studying the Pocatello non-attainment area,
located in the complex terrain of southeast Idaho, two high-resolution
atmospheric regional/mesoscale models (Regional Atmospheric Modeling
System /RAMS/ and Mesoscale Model 5 /MM5/) were successfully applied
to several cases of episodic high concentration of PM10. The models
were evaluated using data taken during the field program in January
1995. The three-dimensional wind fields in this highly complex terrain,
as generated by these numerical models, provided detailed input
for the dispersion models. We used a Lagrangian particle dispersion
model to simulate the transport and dispersion of the pollutants
emanating from two large industrial sources with a variety of emission
materials. The results from the atmospheric models indicated increased
vorticity at the entrance to the Portnaeuf valley as well as the
possible transport of pollutants toward Pocatello, both from the
northwest and along the southern canyons. The Lagrangian particle
model visualized recirculation at the entrance of the Portnaeuf
valley and a return flow in the northeast-southwest direction. Another
technique of tracing the pollution backward from the receptor to
the most probable source area has also been used. The results showed
that the smaller emission sources in complex terrain can contribute
significantly to degradation of air quality allong the valleys due
to the existence of the channeled and coherent plume. The outputs
of the atmospheric numerical model were also reformatted and adjusted
for use as input to the EPA-supported dispersion model CALPUFF,
which can predict the formation of secondary aerosols.
Development of New Parameterization for Inhomogeneous
Turbulence Structure in the Cloud-Capped Boundary Layer
P.I.: D. Koracin
Duration: December 94 - December 96
Agency: DRI - Instutional Project Assignment
Entrainment in the Cloudy Marine Atmosphere
P.I.: D. Koracin
Duration: January 92 - December 92
Agency: DRI - Instutional Project Assignment
Modeling the Dispersion of Vapor and Aerosol Particulates
in the Atmospheric Boundary Layer
P.I.: S. Chai and D. Koracin (P.I.s)
Duration: May 98 - May 00
Agency: Department of Defense - DEPSCoR - Office of Naval Research
Budget: $216,859 (DoD:$144,572; Cost share: $72,287)
The Relationships Among Air Quality, Meteorology and
Climate in an Arid Environment
P.I.: D. Lowenthal (P.I.); M. Wetzel and D. Koracin (co P.I.s)
Duration: September 94 - September 96
Agency: Envirnmental Protection Agency - EPSCoR Program
Improvement of the Microphysical and Radiation Components
of the Regional Atmospheric Modeling System (RAMS)
P.I.: D. Mitchell (P.I.); D. Koracin (co P.I.)
Duration: October 93 - May 97
Agency: Department of Energy - Atmospheric Radiation Measurements
Program
Transport and Dispersion of Atmospheric Pollutants from
the Mohave Power Project (Colorado River Valley)
P.I.: J. Watson (P.I.); D. Koracin (supporting staff)
Duration: January 96 - December 96
Agency: Southern California Edison and EPA Project MOHAVE
Cloud Seeding Program over Sierra Nevada
P.I. Arlen Huggins (P.I.); D. Koracin (supporting staff)
Duration: January 96 - May 97
Agency: National Oceanic and Atmospheric Agency
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