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@INPROCEEDINGS{Graf:139214,
author = {Graf, Alexander and van de Boer, Anneke and Schüttemeyer,
Dirk and Moene, Arnold and Vereecken, Harry},
title = {{I}ntercomparison of methods for the estimation of
displacement height and roughness length from single-level
eddy covariance data},
reportid = {FZJ-2013-05217},
year = {2013},
abstract = {The displacement height d and roughness length z0 are
parameters of the logarithmic wind profile and as such these
are characteristics of the surface, that are required in a
multitude of meteorological modeling applications.
Classically, both parameters are estimated from multi-level
measurements of wind speed over a terrain sufficiently
homogeneous to avoid footprint-induced differences between
the levels. As a rule-of thumb, d of a dense, uniform crop
or forest canopy is 2/3 to 3/4 of the canopy height h, and
z0 about $10\%$ of canopy height in absence of any d.
However, the uncertainty of this rule-of-thumb becomes
larger if the surface of interest is not "dense and
uniform", in which case a site-specific determination is
required again. By means of the eddy covariance method,
alternative possibilities to determine z0 and d have become
available. Various authors report robust results if either
several levels of sonic anemometer measurements, or one such
level combined with a classic wind profile is used to
introduce direct knowledge on the friction velocity into the
estimation procedure. At the same time, however, the eddy
covariance method to measure various fluxes has superseded
the profile method, leaving many current stations without a
wind speed profile with enough levels sufficiently far above
the canopy to enable the classic estimation of z0 and d.
From single-level eddy covariance measurements at one point
in time, only one parameter can be estimated, usually z0
while d is assumed to be known. Even so, results tend to
scatter considerably. However, it has been pointed out, that
the use of multiple points in time providing different
stability conditions can enable the estimation of both
parameters, if they are assumed constant over the time
period regarded. These methods either rely on flux-variance
similarity (Weaver 1990 and others following), or on the
integrated universal function for momentum (Martano 2000 and
others following). In both cases, iterations over the range
of possible d values are necessary. We extended this set of
methods by a non-iterative, regression based approach. Only
a stability range of data is used in which the universal
function is known to be approximately linear. Then, various
types of multiple linear regression can be used to relate
the terms of the logarithmic wind profile equation to each
other, and derive z0 and d from the regression parameters.
Two examples each of the two existing iterative approaches,
and the new noniterative one are compared to each other and
to plausibility limits in three different agricultural
crops. The study contains periods of growth as well as of
constant crop height, also allowing for an examination of
the relations between z0, d, and canopy height. Results
indicate that estimated z0 values, even in absence of
prescribed d values, are fairly robust, plausible and
consistent across all methods. The largest deviations are
produced by the two fluxvariance similarity based methods.
Estimates of d, in contrast, can be subject to implausible
deviations with all methods, even after quality-filtering of
input data. Again, the largest deviations occur with
flux-variance similarity based methods. Ensemble averaging
between all methods can reduce this problem, offering a
potentially useful way of estimating d at more complex sites
where the rule-of-thumb cannot be applied easily. Martano P
(2000): Estimation of surface roughness length and
displacement height from single-level sonic anemometer data.
Journal of Applied Meteorology 39:708-715. Weaver HL (1990):
Temperature and Humidity flux-variance relations determined
by one-dimensional eddy correlation. Boundary-Layer
Meteorology 53:77-91.},
month = {Apr},
date = {2013-04-07},
organization = {EGU General Assembly 2013, Vienna
(Austria), 7 Apr 2013 - 12 Apr 2013},
subtyp = {Other},
cin = {IBG-3},
cid = {I:(DE-Juel1)IBG-3-20101118},
pnm = {246 - Modelling and Monitoring Terrestrial Systems: Methods
and Technologies (POF2-246) / DFG project 139819005 - Links
between local scale and catchment scale measurements and
modelling of gas exchange processes over land surfaces
(139819005)},
pid = {G:(DE-HGF)POF2-246 / G:(GEPRIS)139819005},
typ = {PUB:(DE-HGF)24},
url = {https://juser.fz-juelich.de/record/139214},
}