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Detailed Reference Information |
Barket, D.J., Hurst, J.M., Couch, T.L., Colorado, A., Shepson, P.B., Riemer, D.D., Hills, A.J., Apel, E.C., Hafer, R., Lamb, B.K., Westberg, H.H., Farmer, C.T., Stabenau, E.R. and Zika, R.G. (2001). Intercomparison of automated methodologies for determination of ambient isoprene during the PROPHET 1998 summer campaign. Journal of Geophysical Research 106: doi: 10.1029/2000JD900562. issn: 0148-0227. |
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The Program for Research on Oxidants: PHotochemistry, Emissions, and Transport (PROPHET) 1998 summer campaign, conducted at the University of Michigan Biological Station, provided a unique opportunity to compare isoprene measurement techniques that were automated, sampled and analyzed on-line, and provided relatively fast time resolution. Assessment of the data quality for fast isoprene measurements is important because isoprene dominates the surface chemistry at many rural sites and even some urban environments. An informal intercomparison was conducted by evaluating ambient isoprene mixing ratio data generated by five different instruments: quadrupole ion trap (QIT) MS, the chemiluminescent-based fast isoprene sensor (FIS), and three gas chromatograph/mass spectrometry (GC/MS) techniques. The GC/MS methods were deployed and maintained by Purdue University (GC/MS-P), the National Center for Atmospheric Research (GC/MS-NCAR), and the Rosenstiel School of Marine and Atmospheric Science (GC/MS-RSMAS). The FIS was deployed and maintained by NCAR, Hills-Scientific.com and Washington State University, while the QIT was implemented by Purdue University. The GC/MS-P was chosen as the reference method to evaluate the agreement of the data set. The data were evaluated for time-matched samples through regression analysis, ratio analysis, and percent difference analysis relative to GC/MS-P. For measurement data in the central 90th percentile relative to the median, the mean percent difference was 21% for GC/MS-NCAR, 41% for QIT, 42% for GC/MS-RSMAS, and 88% for the FIS. Potential sources of disagreement, especially for low-concentration data, such as variations in sampling time, interferences, method precision and accuracy, and limited cross-calibration, are discussed. ¿ 2001 American Geophysical Union |
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Abstract |
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Keywords
Atmospheric Composition and Structure, Atmospheric Composition and Structure, Biosphere/atmosphere interactions, Atmospheric Composition and Structure, Troposphere—composition and chemistry, Atmospheric Composition and Structure, Instruments and techniques |
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Publisher
American Geophysical Union 2000 Florida Avenue N.W. Washington, D.C. 20009-1277 USA 1-202-462-6900 1-202-328-0566 service@agu.org |
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