Intercomparison of Two Long-Range Lagrangian Particle Models with ETEX Tracer Data

  • F. Desiato
  • D. Anfossi
  • S. Trini Castelli
  • E. Ferrero
  • G. Tinarelli
Part of the NATO • Challenges of Modern Society book series (NATS, volume 22)

Abstract

The first European long-range tracer experiment (ETEX), jointly organised by the European Commission, the World Meteorological Organisation and the International Atomic Energy Agency, took place on October 23, 1994. The aim of the experiment was to simulate an emergency situation following a release of harmful material into the atmosphere, and to test both real-time and a-posteriori modeling capabilities of reproducing in space and time the tracer concentration field. An inert tracer (perfluoromethylcyclohexane, a perfluorocarbon compound) was released near Rennes, in Northwest France, for twelve hours starting form 16 h UTC, and sampled at three-hourly intervals by 168 ground sites up to a distance of about 2000 km. The synoptic situation at the beginning of the release was characterised by a deep low east of Scotland slowly moving North, maintaining a strong flow from west-southwest in the lower layers over the release site. This condition, together with the correct forecast of its evolution for the following three days, yielded a large number of sampling stations, sparse over Central and Northern Europe, detecting concentrations above background, and so determined the success of the experiment. The concentration data set constitutes the base for both real-time and a-posteriori model evaluations. We present here an a-posteriori intercomparison between two Lagrangian particle models (APOLLO, developed at ANPA, and MILORD, developed at CNR-ICG) simulations of ETEX.

Keywords

Dispersion Model Normalise Mean Square Error Range Dispersion Fractional Bias Correct Forecast 
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. Anfossi D., Sacchetti D. and Trini Castelli S., 1995, Development and sensitivity analysis of a Lagrangian particle model for long range dispersion, Environmental Software, 10, 263–287CrossRefGoogle Scholar
  2. Batchvarova E. and Gryning S.E., 1990, Applied model for the growth of the daytime mixed layer, Boundary Layer Meteorology, 56, 261–274.CrossRefGoogle Scholar
  3. Desiato F., 1992, A long range dispersion model evaluation study with Chernobyl data, Atmospheric Environment, 26 A, 2805–2820Google Scholar
  4. Desiato F. and Bider M., 1994, ARIES-I: A computer system for the real-time modeling of the atmospheric dispersion at different space and time scales, Environmental Software 9, 201–212CrossRefGoogle Scholar
  5. Gifford F.A., 1982, Horizontal diffusion in the atmosphere: a Lagrangian-dynamical theory, Atmospheric Environment, 16, 505–512CrossRefGoogle Scholar
  6. Hanna S.R. and Chang J.C., 1993, Hybrid plume dispersion model (HPDM) improvements and testing at three field sites, Atmospheric Environment, 27 A, 1491–1508Google Scholar
  7. Ishikawa H., 1995, Evaluation of the effect of horizontal diffusion on the long-range atmospheric transport simulation with Chernobyl data, Journal of Applied Meteorology, 34, 1653–1665CrossRefGoogle Scholar
  8. Klug W., Graziani G., Grippa G., Pierce D. & Tassone C. (Eds), 1992, Evaluation of Long Range Atmospheric Transport Models using Environmental Radioctivity Data from the Chernobyl Accident: the ATMES Report, Elsevier Applied SciencesGoogle Scholar
  9. McNider R.T., Moran M.D. and Pielke R.A., 1988, Influence of diurnal and inertial boundary-layer oscillations on long-range dispersion, Atmospheric Environment, 22, 2445–2462.CrossRefGoogle Scholar
  10. Morselli M.G. and Brusasca G., 1991, MODIA: Pollution dispersion model in the atmosphere, Environmental Software Guide, 211-216.Google Scholar
  11. Reap R.M., 1972, An operational three-dimensional trajectory model, Journal of Applied Meteorology, 11, 1193–1201CrossRefGoogle Scholar
  12. Verver G.H.L. and Holtslag A.A.M., 1992, Sensitivity of an operational puff dispersion model to alternative estimates of mixed-layer depth, in Air Pollution Modeling and its Application IX, H. van Dopp and G. Kallos, ed., NATO, Challenges of Modern Society 17.Google Scholar
  13. Zannetti P., 1990, Air Pollution Modelling, Computational Mechanics PublicationsGoogle Scholar

Copyright information

© Springer Science+Business Media New York 1998

Authors and Affiliations

  • F. Desiato
    • 1
  • D. Anfossi
    • 2
  • S. Trini Castelli
    • 3
  • E. Ferrero
    • 4
  • G. Tinarelli
    • 5
  1. 1.Agenzia Nazionale per la Protezione dell’Ambiente (ANPA)RomaItaly
  2. 2.Istituto di CosmogeofisicaC.N.R.TorinoItaly
  3. 3.Dipartimento di Fisica GeneraleUniversita’TorinoItaly
  4. 4.Dip. Scienze Tecn. Avanz.Universita’AlessandriaItaly
  5. 5.Servizio AmbienteENEL/CRAMMilanoItaly

Personalised recommendations