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Utility of CASTNet Meteorological Measurements  

 
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Eighty-four CASTNet sites are operated across the United States. Each site is equipped with filter packs and meteorological instruments. The filter packs measure weekly concentrations of sulfur and nitrogen gaseous and aerosol air pollutants. The meteorological sensors measure wind speed and direction, standard deviation of wind direction, temperature and temperature lapse rate, relative humidity, solar radiation, surface wetness, and precipitation. The primary purpose of the meteorological measurements is to provide input to a computer model called the Multi-Layer Model (MLM) in order to calculate hourly deposition velocities. The deposition velocities are combined with the measured air pollutant concentrations to simulate atmospheric dry deposition. MLM input requires several simultaneous valid meteorological measures. Consequently, the data completeness requirements for the meteorological measurements are rigorous. Furthermore, precision and accuracy requirements are also rigorous. This paper discusses the completeness, precision, and accuracy statistics for the CASTNet meteorological data over the 16-year history of the network and the experience in meeting the requirements for MLM model input and subsequent flux estimates. Completeness of all meteorological measurements over the history of the network was approximately 94 percent. Precision, which is based on simultaneous hourly data from collocated instruments, ranged from 2 to 9 percent. Accuracy results, which were based on NIST-traceable instrument audits, were satisfactory. The overall performance of the meteorological instruments allowed the satisfactory simulation of atmospheric dry deposition and the compilation of a long-term database to estimate trends in deposition. The meteorological measurements are also used to gauge relationships between regional air quality and synoptic meteorological events, e.g., how tropospheric ozone is related to solar radiation, temperature, and precipitation. The data are also used to analyze air pollution episodes and understand the relationship between deposition and meteorological conditions. Finally, the meteorological data are used to assess long-term changes in annual and seasonal meteorological.

 
Affiliation Author(s) 
MACTEC, Inc. Thomas F. Lavery
MACTEC, Inc. Christopher M. Rogers
MACTEC, Inc. H. Kemp Howell
MACTEC, Inc. Rachel T. Sartain

Details
CNumber: ACE 2003 - San Diego, CA June 22-26, 2003
Publication Type: Proceedings
Publication Date: June 2003

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