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RECORD NUMBER: 40 OF 63

OLS Field Name OLS Field Data
Main Title Plume Dispersion in the Convective Boundary Layer. Part 2. Analyses of CONDORS Field Experiment Data.
Author Briggs, G. A. ;
CORP Author National Oceanic and Atmospheric Administration, Research Triangle Park, NC. Atmospheric Sciences Modeling Div.;Environmental Protection Agency, Research Triangle Park, NC. Atmospheric Research and Exposure Assessment Lab.
Publisher c1993
Year Published 1993
Report Number EPA/600/J-94/100;
Stock Number PB94-146461
Additional Subjects Thermal boundary layer ; Dispersion ; Plumes ; Atmospheric diffusion ; Experimental data ; Comparison ; Numerical analysis ; Convection ; Mathematical models ; Field tests ; Air pollution ; Wind(Meteorology) ; Remote sensing ; Reprints ; CONDORS field experiment
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NTIS  PB94-146461 Most EPA libraries have a fiche copy filed under the call number shown. Check with individual libraries about paper copy. NTIS 05/14/1994
Collation 42p
Abstract
During the 1970s convective scaling (CS) emerged as a powerful tool for describing the most salient characteristics of turbulence and diffusion in convective boundary layers (CBLs). At the same time, controversy arose as both laboratory and numerical diffusion modeling experiments showed marked, systematic departures of diffusion in the vertical from patterns predicted by standard Gaussian models. Around 1975 it became apparent that there was a need for a full-scale diffusion field experiment during convective conditions, both to test the effectiveness of CS and to verify or refute the non-Gaussian behaviors found in the modeling experiments. First, the question of whether the modeling results could be verified for the more basic case of passive plumes had to be addressed. The CONDORS (convective diffusion observed with remote sensors) experiment was designed as an attempt to answer this question. Part I of this paper gave a detailed account of the experimental design and execution; the experiment will be only briefly redescribed here. The core of this paper is an in-depth, but not exhaustive, analysis of the experimental measurements.