Geoscience Reference
In-Depth Information
Turbulence
is governed
can be characterized with
is responsible for
Statistical description
Vertical transport
of vertical wind speed and
transported quantity yields
can be measured with
consists among others of
(Gradients of) mean values
Variances
TKE
Covariances
Eddy-covariance method
can - for atmospheric
applications-
not be linked through
is affected by
is affected by
Navier-Stokes equations
can be linked through
Buoyancy
can be determined from
Wind shear
Experimental data
is incorporated in
is incorporated in
Similarity theory
needs definition of
are needed to determine form
as well as coefficients of
can be calculated from
Dimensionless groups
are related through
Similarity relationships
can be rewritten to obtain
Fluxes from observations at two levels
can be approximated by
Approximate analytical solutions
can be applied to
can be applied to
can be used to explain
can be used to explain
Tw o levels in atmosphere
One level in atmosphere,
one at surface
needs definition of
Feedback between stability and heat flux
Schmidt paradox
Roughness length for momentum and heat
Figure 3.22 Overview of Chapter 3 . Everything above 'Similarity theory' relates to
the physical reality. Everything below 'Similarity relationships' is a direct - mathe-
matical - consequence of the empirical relationships found by combining similarity
theory and experimental data.
heat, momentum and various gases in the atmospheric part of the soil-vegetation-
atmosphere continuum. Second, turbulence cannot be described from irst principles
and therefore we can relate various quantities (e.g., luxes and mean values) only
through empirical relationships.
Turbulence is a speciic state of a luid in which chaotic, though organized move-
ments occur. Because of the chaotic nature, the low can be described only in terms
of statistical quantities. One of those is the turbulent kinetic energy, which is inlu-
enced both by wind shear ('mechanical production of turbulence') and buoyancy. In
 
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