Collaborative Research: Lagrangian Modeling of Dispersion in the Stable Boundary Layer and Canopy Environments

Abstract

The objective of this research was to improve our understanding of dispersion in the planetary boundary layer (PBL) by extending our Lagrangian particle dispersion model (LPDM) to the stable boundary layer (SBL) and to PBLs interacting with vegetation canopies. The LPDM was driven by large-eddy simulations (LESs). For the SBL, dispersion simulations of a weakly stable PBL demonstrated the slow dispersion rate caused by the stable stratification and showed that the LPDM produced plume features in good agreement with observations. These included plume ``tilting'' due to wind direction shear, plume spread, and the downwind concentration distribution. For a neutral PBL with a resolved forest canopy, the LPDM demonstrated enhanced vertical dispersion but reduced effects of directional shear on lateral dispersion by comparison to a reference no-canopy case. More detailed canopy studies were initiated by coupling the LES with a newly developed multi-layer canopy version of the NOAH land-surface model; initial results showed that the modeled canopy-imposed heat source accurately reproduces that obtained from the recent CHATS field experiment.

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Document Details

Document Type
Technical Report
Publication Date
Apr 16, 2009
Accession Number
ADA499339

Entities

People

  • Edward G. Patton
  • Jeffrey C. Weil
  • Peter P Sullivan

Organizations

  • University of Colorado Boulder

Tags

Communities of Interest

  • Air Platforms
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Atmospheric Motion
  • Boundary Layer
  • Boundary Layer Flow
  • Diffusion
  • Diffusivity
  • Energy
  • Engineering
  • Heat Energy
  • Large Eddy Simulation
  • Latent Heat
  • Layers
  • Meteorology
  • Statistics
  • Students
  • Three Dimensional
  • Turbulence
  • Wind

Fields of Study

  • Environmental science

Readers

  • Aerosol Science/Aerosol Physics
  • Forest Ecology
  • Ocean-Atmosphere Mesoscale Modeling, Data Assimilation, and Flux Boundary Layers