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Footprint prediction of scalar fluxes using a Markovian analysis

Footprint prediction of scalar fluxes using a Markovian analysis The contribution of upwind sources to measurements of vertical scalar flux density as a function of fetch (‘footprint’) is predicted using a Markovian simulation of fluid particle trajectories. Results suggest that both footprint peak position and magnitude change dramatically with surface roughness, thermal stability and observation levels. Results also indicate that the much used 100 to 1 fetch-to-height ratio grossly underestimates fetch requirements when observations are made above smooth surfaces, in stable conditions or at high observation levels. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Boundary-Layer Meteorology Springer Journals

Footprint prediction of scalar fluxes using a Markovian analysis

Boundary-Layer Meteorology , Volume 52 (3) – May 21, 2004

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References (30)

Publisher
Springer Journals
Copyright
Copyright
Subject
Earth Sciences; Atmospheric Sciences; Meteorology; Atmospheric Protection/Air Quality Control/Air Pollution
ISSN
0006-8314
eISSN
1573-1472
DOI
10.1007/BF00122089
Publisher site
See Article on Publisher Site

Abstract

The contribution of upwind sources to measurements of vertical scalar flux density as a function of fetch (‘footprint’) is predicted using a Markovian simulation of fluid particle trajectories. Results suggest that both footprint peak position and magnitude change dramatically with surface roughness, thermal stability and observation levels. Results also indicate that the much used 100 to 1 fetch-to-height ratio grossly underestimates fetch requirements when observations are made above smooth surfaces, in stable conditions or at high observation levels.

Journal

Boundary-Layer MeteorologySpringer Journals

Published: May 21, 2004

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