Formulation of Subgrid Variability and Boundary-Layer Cloud Cover in Large-Scale Models

Abstract

This report describes work on the Oregon State University (OSU) atmospheric boundary-layer (ABL) model under AFOSR Grant NO. F49620-96-1-0058. This model was developed to provide ABL and land-surface parameterization schemes for large-scale numerical weather prediction models. We address five classes of model development and testing: (1) A simple two-source canopy model is proposed which accounts for canopy sparseness and turbulent mixing between the surface and canopy, and directly between the surface and air above the canopy. (2) Using updated land-surface and ABL parameterizations, a case study investigates land-surface and ABL simulations without land-surface/ABL interaction (decoupled mode), then coupled land-surface/ABL simulations where more complicated interactions and feedbacks are possible, including the formation and interaction with ABL clouds. (3) The model is used to test how different ocean surface flux forcings interact to determine marine ABL structure and development. (4) The ABL fractional cloud cover formulation is updated using a more computationally efficient tophat distribution of specific humidity rather than the previous Gaussian distribution of relative humidity. (5) The land-surface scheme is tested using different observational data sets to assess model performance in calculating surface fluxes and soil processes.

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Document Details

Document Type
Technical Report
Publication Date
Feb 28, 1999
Accession Number
ADA360481

Entities

People

  • A. A. Holtslag
  • G. Levy
  • L. Mahrt
  • M. Ek
  • Shi Chang

Organizations

  • Oregon State University

Tags

Communities of Interest

  • Cyber
  • Ground and Sea Platforms
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Atmospheric Sciences
  • Boundary Layer
  • Case Studies
  • Climate Change
  • Cloud Cover
  • Data Sets
  • Drainage Basins
  • Gaussian Distributions
  • Heat Energy
  • Latent Heat
  • Layers
  • Measurement
  • Meteorology
  • Scale Models
  • Surface Temperature
  • Turbulent Mixing
  • Weather Forecasting

Fields of Study

  • Environmental science

Readers

  • Ocean-Atmosphere Mesoscale Modeling, Data Assimilation, and Flux Boundary Layers