ONE- and TWO-Equation Models for Canopy Turbulence

By Gabriel G. Katul, Larry Mahrt, Davide Poggi, Christophe Sanz. 2004

388 citations recorded by the source corpus.

Subfields: Computational Mechanics, Environmental Engineering, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/f565154c5e83f193a3d12f64ee9a3b5a522f8352

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In Computational Mechanics

In Environmental Engineering

In Global and Planetary Change

Citations in the corpus

Parametrization of Drag and Turbulence for Urban Neighbourhoods with Trees (2015, background): “However, Katul et al. (2004) find that 1.5-order k–l models performed as well as second-order closures across multiple vegetation canopy datasets, and they require fewer closure constants and associated degrees of freedom.”
A simple unified theory for flow in the canopy and roughness sublayer (2007, result): “This approach is also supported by Katul et al. (2004) in their comparison of models for turbulence in canopies.”
Modification of Two-Equation Models to Account for Plant Drag (2006, methodology): “Here the interaction and joint effects of heterogeneities are more interesting than a highly detailed description of the turbulence field, and is the reason why researchers working with higherorder closure models (second and third order) (Wilson 1988; Katul and Albertson 1998) note that, for many pr”
A Note on Two-Equation Closure Modelling of Canopy Flow (2009, background): “During the last two decades, models using two-equation closure have attracted great attention in the geophysical modelling community and a number of authors have found it is sufficient for most practical tasks (Wang and Takle 1995; Umlauf and Burchard 2003; Castro et al. 2003; Hipsey et al. 2004; Ka”
Effects of Wind on Plants (2008, background): “This is done through additional terms in the budget equation for k and for ε (Foudhil et al. 2005, Katul et al. 2004, Liang et al. 2006).”
Biological constraints on water transport in the soil–plant–atmosphere system (2013, background): “with Sc being the turbulent Schmidt number and ‘A the effective mixing length for turbulence within the canopy, which is in turn controlled by the canopy height and the centroid of the drag force [108,109].”
Mechanistic models of seed dispersal by wind (2011, background): “The collapse of the data here for such diverse canopies is suggestive that the canopy top (hc) and the friction velocity (u* )a thc are appropriate normalizing variables (data in Katul et al. 2004 ).”