Record Display for the EPA National Library Catalog

RECORD NUMBER: 8 OF 8

OLS Field Name OLS Field Data
Main Title Spectral Characteristics of the Convective Boundary Layer over Uneven Terrain.
Author Kaimal, J. C. ; Eversole, R. A. ; Lenschow, D. H. ; Stankov, B. B. ; Kahn, P. H. ;
CORP Author National Oceanic and Atmospheric Administration, Boulder, CO. Wave Propagation Lab.;Environmental Sciences Research Lab., Research Triangle Park, NC.
Year Published 1982
Report Number EPA-600/J-82-249;
Stock Number PB83-130013
Additional Subjects Atmospheric temperature ; Wind velocity ; Turbulent boundary layer ; Terrain ; Measurement ; Towers ; Aircraft ; Meteorological instruments ; Experimental data ; Power spectra ; Selection ; Sites ; Comparison ; Wind direction ; Calibrating ; Errors ; Colorado ; Reprints ;
Holdings
Library Call Number Additional Info Location Last
Modified
Checkout
Status
NTIS  PB83-130013 Most EPA libraries have a fiche copy filed under the call number shown. Check with individual libraries about paper copy. NTIS 06/23/1988
Collation 20p
Abstract
Examination of the wind and temperature spectra during convective conditions at the Boulder Atmospheric Observatory in April 1978 indicate that minor shifts in the peaks for the spectra of vertical velocity and temperature are the only discernable effects of the surrounding gently rolling terrain. Vertical velocity spectra obtained from aircraft measurements display different shapes for sampling directions along and across the wind direction. Spectral peaks for these spectra were shifted toward higher wave numbers relative to the tower spectra. Long term spectra of horizontal wind components from surface stations around the tower appear insensitive to site selection. Under near-stationary conditions, the spectral peak for the streamwise component reflects the predominant boundary layer scales better than that for the lateral component. Identification of those scales in the presence of large shifts in wind direction involves very careful examination of the time series for near-stationary periods.