Accession Number : ADA320818

Title :   Marine Boundary-Layer Parameterizations for Large Scale Models: Data Analysis and Verification (AASERT).

Descriptive Note : Final rept. 1 Sep 93-31 Dec 96,

Corporate Author : OREGON STATE UNIV CORVALLIS COLL OF OCEANOGRAPHY

Personal Author(s) : Mahrt, L.

PDF Url : ADA320818

Report Date : 31 DEC 1996

Pagination or Media Count : 11

Abstract : The data sampling and analysis techniques associated with research under this AASERT grant will aid in better estimates of fluxes from observations, a requirement for model verification. The new analysis techniques allow decomposition of the flow into localized modes which are more natural to boundary layer problems compared to the usual Fourier decomposition. The analysis techniques are applicable to observational data sets as well as numerical output. The usual assumption of alignment of the surface stress and surface wind vector was reexamined. This assumption appears to break down with significant temperature advection. This problem was examined in terms of tower data collected in the coastal zone by the Risoe National Laboratory (Denmark). The usual formulation of the surface heat flux in models is inconsistent in that the aerodynamic temperature required for Monin-Okukhov similarity theory is replaced by the surface radiation temperature. The aerodynamic temperature is not readily available and numerous empirical fixes have been suggested to close the system. The approach here circumvents these problems by relating the evaporative fraction to remotely sensed information using data from the Boreal Ecosystem Atmosphere Study and the California Ozone Deposition Experiment.

Descriptors :   *MARINE ATMOSPHERES, *ATMOSPHERE MODELS, STRESSES, DATA BASES, COASTAL REGIONS, WIND, ATMOSPHERIC TEMPERATURE, NUMERICAL ANALYSIS, BOUNDARY LAYER, BOUNDARY VALUE PROBLEMS, MASS TRANSFER, MOISTURE, HEAT FLUX, SURFACE TEMPERATURE, DECOMPOSITION, ADVECTION, FOURIER ANALYSIS.

Subject Categories : Meteorology

Distribution Statement : APPROVED FOR PUBLIC RELEASE