Boundary Layer Parameterization for a Global Spectral Model

Abstract

Much of the work has concentrated on interactions between the soil model and the model of the atmospheric boundary layer and the behavior of the boundary-layer package within the Air Force Global Spectral Model. Such studies have underscored the importance of the formulation of surface properties and transport within the underlying soil. Work during the contract period also focussed on elimination of several inadequacies of boundary-layer modelling. The inclusion of the statistical impact of subgrid variations of surface properties leads to a surface exchange coefficient which varies more smoothly with stability and does not decrease as rapidly with very stable conditions. Such modifications reduce the nocturnal cooling which is usually overestimated in boundary-layer models. Other improvements of the boundary-layer model in stable conditions have resulted from increasing the critical Richardson number in the boundary-layer depth formulation and adopting the Kondo formulation for the eddy diffusivity. The development of a formulation for boundary-layer cumulus has allowed inclusion of cloud-induced drying. Although this formulation leads to significant improvement of the boundary-layer predictions in cloudy situations, the general problem is far from solved. Keywords: Atmospheric boundary layer; Surface energy balance; Soil model; Stable layer parameterization; Surface fluxes.

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Document Details

Document Type
Technical Report
Publication Date
Aug 17, 1987
Accession Number
ADA199440

Entities

People

  • C.-t. Chu
  • Hua-lu Pan
  • Larry J. Mahrt
  • Paul H. Ruscher

Organizations

  • Oregon State University

Tags

Communities of Interest

  • Air Platforms
  • Energy and Power Technologies
  • Space

DTIC Thesaurus Topics

  • Atmospheric Motion
  • Atmospheric Sciences
  • Boundary Layer
  • Climate Change
  • Convection
  • Equations
  • Heat Energy
  • Heat Transfer
  • Latent Heat
  • Meteorology
  • Physics Laboratories
  • Standards
  • Surface Properties
  • Thermodynamics
  • Transitions
  • Turbulence
  • Turbulent Mixing

Readers

  • Atmospheric Remote Sensing.
  • Computational Modeling and Simulation
  • Fluid Mechanics and Fluid Dynamics.