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Boundary-Layer Meteorology

, Volume 131, Issue 2, pp 293–307 | Cite as

Improvement of Vertical Diffusion Analytic Schemes Under Stable Atmospheric Conditions

  • Amela JeričevićEmail author
  • Željko Večenaj
Open Access
Article

Abstract

Based on gradient transport theory or K-theory, turbulent transport in the atmosphere has long been parameterized using the eddy diffusivity. Due to its simplicity, this approach has often been applied in many numerical models but rarely tested with observations. Here, the widely used O’Brien cubic polynomial approach has been validated together with an exponential approach against eddy diffusivity profiles determined from measurements and from large-eddy simulation data in stable conditions. Verification is completed by analyzing the variability effects on pollutant concentrations of two different vertical diffusion (K(z)) schemes incorporated in an atmospheric chemical model. It is shown that the analytical, exponential solution agrees better with observations than the O’Brien profile and should be used henceforth in practical applications.

Keywords

Air quality models K-theory Linear exponential approach O’Brien profile 

Notes

Acknowledgements

Authors are grateful to Branko Grisogono for many valuable advises and suggestions; furthermore, we thank the reviewers for several important recommendations. This work is supported by the EMEP4HR project under number 175183/S30 funded by the Research Council of Norway, and by projects BORA 119-1193086-1311 and 004-1193086-3036 of the Croatian Ministry of Science, Education and Sport.

Open Access

This article is distributed under the terms of the Creative Commons Attribution Noncommercial License which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and source are credited.

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Copyright information

© The Author(s) 2009

Open AccessThis is an open access article distributed under the terms of the Creative Commons Attribution Noncommercial License (https://creativecommons.org/licenses/by-nc/2.0), which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and source are credited.

Authors and Affiliations

  1. 1.MHSC Meteorological ServiceZagrebCroatia
  2. 2.AMGI Department of Geophysics, Faculty of ScienceUniversity of ZagrebZagrebCroatia

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