Advertisement

Verification of a Three-Dimensional Transport Model Using Tetroon Data from Projects State and Neros

  • T. T. Warner
  • R. R. Fizz
Part of the NATO · Challenges of Modern Society book series (NATS, volume 3)

Abstract

No general procedure is available for calculation of parcel trajectories that demonstrates consistent accuracy over a broad range of conditions. Many techniques exist (Pack et al., 1978; Hoecker, 1977; Peterson, 1966), but most have limitations such as being site-specific, being applicable under only certain meteorological conditions or times of day, relying on the synoptic-scale rawinsonde network for wind data or being applicable to only specific levels in the atmosphere. Peterson (1966) provides particularly interesting comparisons of trajectories calculated using a number of standard diagnostic techniques. In general, procedures that are relatively successful in some situations, provide poor trajectory estimates in other situations. It is also difficult to determine a priori which procedure will be best in a given case. Thus, there is a need for a general and reliable technique for atmospheric transport computations.

Keywords

Wind Field Planetary Boundary Layer Wind Data Project State Trajectory Calculation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Anthes, R. A. and Keyser, D., 1979, Tests of a fine-mesh model over Europe and the United States, Mon. Wea. Rev., 107: 963–984.ADSCrossRefGoogle Scholar
  2. Anthes, R. A. and Warner, T. T., 1978, The development of mesoscale models suitable for air pollution and other mesometeorological studies, Mon. Wea. Rev., 106: 1045–1078.ADSCrossRefGoogle Scholar
  3. Bergman, K., McPherson, R., and Newell, J., 1974, A description of Flattery global analysis method-No. 1, Technical Procedures Bull. No. 90, National Weather Service, 9 pp.Google Scholar
  4. Blackadar, A. K., 1976, Modeling the nocturnal boundary layer, Third Symp. on Atmospheric Turbulence, Diffusion and Air Quality, Raleigh, NC, Oct. 9–12, Preprints, Amer. Meteor. Soc., Boston, pp. 46–49.Google Scholar
  5. Cressman, G. P., 1959, An operational objective analysis system. Mon. Wea. Rev., 87: 367–374.ADSCrossRefGoogle Scholar
  6. Hoecker, W. H., 1977, Accuracy of various techniques for estimating boundary-layer trajectories, J. Appl. Meteor., 16: 374–383.ADSCrossRefGoogle Scholar
  7. Pack, D. H., Ferber, G. J., Heffter, J. L., Telegadas, K., Angell, J. K., Hoecker, W. H., and Machta, L., 1978, Meteorology of long-range transport, Atmos. Envir., 12: 425–444.CrossRefGoogle Scholar
  8. Peterson, K. R., 1966, Estimating low-level tetroon trajectories, J. Appl. Meteor., 5: 553–564.ADSCrossRefGoogle Scholar
  9. Warner, T. T., 1981, Verification of a three-dimensional transport model using tetroon data from project STATE, Atmos. Envir., 15:in press.Google Scholar
  10. Warner, T. T., Anthes, R. A., and McNab, A. L., 1978, Numerical simulations with a three-dimensional mesoscale model, Mon. Wea. Rev., 106: 1079–1099.ADSCrossRefGoogle Scholar

Copyright information

© Plenum Press, New York 1983

Authors and Affiliations

  • T. T. Warner
    • 1
  • R. R. Fizz
    • 1
  1. 1.Department of MeteorologyThe Pennsylvania State UniversityUniversity ParkUSA

Personalised recommendations