Model Validation Using Krypton-85 Air Concentration Data from the 1500 km Long-Range Dispersion Experiment

 

Roland R. Draxler

 

First Symposium on Turbulence and Diffusion, March 22-25, 1983, Boston, Mass, paper 3.2

 

Introduction - The types of errors that propagate through long-range dispersion model calculations can broadly be defined in the same way as with other data: random and systematic. Random error will be inherent in any model of atmospheric processes that involves turbulence. Advection calculations in long-range transport models depend upon observed meteorological data. These data were designed to provide the boundary conditions for the large scale numerical  weather prediction models rather than to define the spatial and temporal turbulent wind field required for transport and dispersion model calculations.  In this paper an approach to defining the errors in concentration calculations from one model are explored using Kr-85 air concentration data colleced 1500 km from the source.

 

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