Marine Boundary-Layer Parameterizations for Large-Scale Models: Data Analysis and Verification

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 dose the system. The approach here documents 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.

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Document Details

Document Type
Technical Report
Publication Date
Dec 31, 1996
Accession Number
ADA329664

Entities

People

  • Larry J. Mahrt

Organizations

  • Oregon State University

Tags

DTIC Thesaurus Topics

  • Air Force
  • Atmospheric Motion
  • Atmospheric Sciences
  • Boundaries
  • Boundary Layer
  • Data Analysis
  • Data Science
  • Decomposition
  • Layers
  • Models
  • Physical Theories
  • Spatial Distribution
  • Statistical Sampling
  • Turbulence
  • Verification
  • Weather Forecasting
  • Wind

Fields of Study

  • Environmental science

Readers

  • Finite Element Method (FEM) for solving Partial Differential Equations (PDEs)
  • Ocean-Atmosphere Mesoscale Modeling, Data Assimilation, and Flux Boundary Layers
  • Systems Analysis and Design