[Link to Introduction to the COST 710 action]

Note: The following text was written in 1996 and has not been revised since then

Meteorological Data for Dispersion Modelling - the COST 710 Programme on Pre-processing and Harmonisation


- COST 710 G.Cosemansa, J.Erbrinkb , B.E.A. Fisherc, J.G.Kretzschmara and D.J.Thomsond

a) VITO, Flemish Institute for Technological Research, Boeretang 200, B-2400 Mol, Belgium
b) KEMA, P.O.BOX 9035, NL-6800 ET Arnhem, The Netherlands
c) University of Greenwich, Rachel McMillan Building, Creek Road, London SE8 3BW, UK
d) Meterological Office (Room 171), London Road, Bracknell, Berkshire RHG12 2SZ, UK

Dispersion models need reliable meteorological data to run properly. Some of the meteorological data required by dispersion models is not routinely measured e.g. mixing depths, and has to be inferred from other measurements. The purpose of this co-operative study under the COST 710 Action is to improve and harmonise the methods of pre-processing the necessary meteorological input data. The countries participating in the study are: Austria, Belgium, Denmark, Finland, France, Germany, Greece, Hungary, Italy, The Netherlands, Portugal, Slovenia, Spain, Sweden, Switzerland, and the United Kingdom.

Atmospheric dispersion
Figure 1
Figure 1 show schematically the dispersion in the atmosphere of pollution released from a chimney. Most attention to modelling this behaviour centres on describing in mathematical equations the spread of airborne material as a function of downwind distance. This is shown in an idealised way in Figure 2, where the shape of the dispersing plume is assumed to have the form of a Gaussian function, examples of which are drawn on the diagram.
Gaussian plume
Figure 2
The purpose of the COST 710 programme is not to address the accuracy of dispersion models, but to ensure that dispersion models use the most appropriate meteorological data in their calculations. For example Figure 3 shows three typical meteorological conditions: unstable, neutral and stable. In each case the sky conditions, the vertical temperature profile, the turbulence levels and the surface radiation budget will be different. Routine meteorological parameters do not provide directly all the necessary meteorological variables to determine dispersion conditions even near the surface of the ground! Involved calculations and interpolation of data from routine meteorological stations is necessary. In addition statistics on the frequency of occurrence of each variable is needed for entry into some of the dispersion models, while other dispersion models require time series of the meteorological variables.

Atmospheric stability
Figure 3
Pre-processing is the activity of inferring meteorological parameters needed in dispersion models using routinely available meteorological data, as well as the way in which time series of hourly data over long time periods are summarized to produce climatologies of dispersion categories. Possible errors and differences between methods used in this pre-processing can be of comparable importance to errors occurring in the dispersion modelling itself.

The work undertaken in the programme has been divided up between four Working Groups on: (1) the surface energy balance, (2) the boundary layer depth, (3) vertical profiles of wind, temperature and turbulence and (4) complex terrain. Current practice in each area has been reviewed using the knowledge of experts in the field, literature surveys and questionnaires. This has revealed a number of standard methods in routine use in participating countries. These need to take account of local situations e.g. methods developed and tested in central Europe for determining the surface heat balance may not work so well when applied to northern Europe. Datasets collected during intensive meteorological measurement programmes have also been identified during the initial phase of the programme and are being used to test the application of the schemes.

It is essential that there is consistency in the way in which meteorological input parameters are defined and used if the results of dispersion models are to be compared in a meaningful way. There are various ways of defining the mixing depth, which in COST 710 is taken to be the depth to which pollution will disperse within an hour.

A number of formulae have been identified for describing the vertical profiles of wind speed, temperature and turbulence in the lower atmosphere. These have often been developed for ideal conditions. Within COST 710 they are being tested using a number of datasets from measurements made in a range of different locations. The higher one goes in the boundary layer the more uncertain the ideal formulae become. Profiles in the upper part of the boundary layer are important because of their influence on plume rise and dispersion from tall stacks. Turbulence at these heights determines how fast material will return to the ground. In situations of sufficiently complex terrain one can no longer assume uniform flow conditions and dispersion conditions. Complex terrain models have been developed to address these situations. These models include linear flow models, mass consistent models and dynamic models which attempt to describe the evolution of flow and turbulence. They are necessarily complex. The COST 710 programme can only attempt to give general guidance on when such models are useful.

The main outcome from the programme will be recommendations in respect of the schemes for determining meteorological input parameters in dispersion models. This will reduce one potential source of deviation between the predictions of dispersion models. Research has also been conducted on the sensitivity of dispersion modelling results to the way in which climatologies are described. In particular, the sensitivity to the number of years of data used and how it is processed e.g. time series or statistical summaries.

Much of the work was presented at the Fourth Workshop on Harmonisation within Atmospheric Dispersion Modelling for Regulatory Purposes, held in Oostende, Belgium, 6-9 May 1996, and published in a special volume of the International Journal of Environment and Pollution. It is already apparent that much remains to be done in this neglected aspect of dispersion modelling if harmonisation of predictive methods is to take place. The COST 710 programme will finish at the end of February 1997 and it is planned that a report on its activities should be published.


This Web page is maintained by Helge RÝrdam Olesen, NERI, Denmark.
It was last modified April 7, 1999, but the text itself has not been modified since 1996.

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