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Continuous gusts or stochastic gusts are winds that vary randomly in space and time. Models of continuous gusts are used to represent atmospheric turbulence, especially clear air turbulence and turbulent winds in
storm A storm is any disturbed state of the natural environment or the atmosphere of an astronomical body. It may be marked by significant disruptions to normal conditions such as strong wind, tornadoes, hail, thunder and lightning (a thunderstor ...
s. The
Federal Aviation Administration The Federal Aviation Administration (FAA) is a Federal government of the United States, U.S. federal government agency within the United States Department of Transportation, U.S. Department of Transportation that regulates civil aviation in t ...
(FAA) and the
United States Department of Defense The United States Department of Defense (DoD, USDOD, or DOD) is an United States federal executive departments, executive department of the federal government of the United States, U.S. federal government charged with coordinating and superv ...
provide requirements for the models of continuous gusts used in design and simulation of aircraft.


Models of continuous gusts

A variety of models exist for gusts but only two, the Dryden and von Kármán models, are generally used for continuous gusts in
flight dynamics Flight dynamics in aviation and spacecraft, is the study of the performance, stability, and control of vehicles flight, flying through the air or in outer space. It is concerned with how forces acting on the vehicle determine its velocity and at ...
applications. Both of these models define gusts in terms of power spectral densities for the linear and angular velocity components parameterized by turbulence length scales and intensities. The velocity components of these continuous gust models can be incorporated into airplane equations of motion as a wind disturbance. While these models of continuous gusts are not
white noise In signal processing, white noise is a random signal having equal intensity at different frequencies, giving it a constant power spectral density. The term is used with this or similar meanings in many scientific and technical disciplines, i ...
, filters can be designed that take a white noise input and output a random process with the Dryden or von Kármán models.


Assumptions of continuous gust models

The models accepted by the FAA and Department of Defense represent continuous gusts as a wind linear and angular velocity field that is a random process and make a number of simplifying assumptions in order to describe them mathematically. In particular, continuous gusts are assumed to be: * A
Gaussian process In probability theory and statistics, a Gaussian process is a stochastic process (a collection of random variables indexed by time or space), such that every finite collection of those random variables has a multivariate normal distribution. The di ...
* A stationary process, so the statistics are constant in time *
Homogeneous Homogeneity and heterogeneity are concepts relating to the uniformity of a substance, process or image. A homogeneous feature is uniform in composition or character (i.e., color, shape, size, weight, height, distribution, texture, language, i ...
, so the statistics do not depend on the vehicle path * Ergodic *
Isotropic In physics and geometry, isotropy () is uniformity in all orientations. Precise definitions depend on the subject area. Exceptions, or inequalities, are frequently indicated by the prefix ' or ', hence '' anisotropy''. ''Anisotropy'' is also ...
at high altitude, so the statistics do not depend on the vehicle attitude * Varying in space but frozen in time These assumptions, while unrealistic, yield acceptable models for flight dynamics applications. The last assumption of a velocity field that does not vary with time is especially unrealistic, since measurements of atmospheric turbulence at one point in space always vary with time. These models rely on the airplane's motion through the gusts to generate temporal variations in wind velocity, making them inappropriate for use as inputs to models of hovering, wind turbines, or other applications that are fixed in space. The models also make assumptions about how continuous gusts vary with altitude. The Dryden and von Kármán models specified by the Department of Defense define three different altitude ranges: low, 10 ft to 1000 ft AGL; medium/high, 2000 ft AGL and above; and in between. The turbulence intensities, turbulence scale lengths, and turbulence axes depend on the altitude. The Department of Defense also provides models for the gust angular velocity but gives criteria based on airplane stability derivatives for when they can be omitted.


Dryden model

The Dryden model is one of the most commonly used models of continuous gusts. It was first published in 1952. The power spectral density of the longitudinal linear velocity component is \Phi_(\Omega)=\sigma_u^2\frac \frac where ''ug'' is the gusts' longitudinal linear velocity component, ''σu'' is the turbulence intensity, ''Lu'' is the turbulence scale length, and ''Ω'' is a spatial frequency. The Dryden model has
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power spectral densities for each velocity component. This means that an exact filter can be formed that takes white noise as an input and outputs a random process with the Dryden model's power spectral densities.


von Kármán model

The von Kármán model is the preferred model of continuous gusts for the Department of Defense and the FAA. The model first appeared in a 1957
NACA The National Advisory Committee for Aeronautics (NACA) was a United States federal agency that was founded on March 3, 1915, to undertake, promote, and institutionalize aeronautical research. On October 1, 1958, the agency was dissolved and its ...
report based on earlier work by Theodore von Kármán. In this model, the power spectral density of the longitudinal linear velocity component is \Phi_(\Omega)=\sigma_u^2\frac \frac where ''ug'' is the longitudinal linear velocity component, ''σu'' is the turbulence intensity, ''Lu'' is the turbulence scale length, and ''Ω'' is a spatial frequency. The von Kármán model has irrational power spectral densities. So, a filter with a white noise input that outputs a random process with the von Kármán model's power spectral densities can only be approximated.


Altitude dependence

Both the Dryden and von Kármán models are parameterized by a length scale and turbulence intensity. The combination of these two parameters determine the shape of the power spectral densities and therefore the quality of the models' fit to spectra of observed turbulence. Many combinations of length scale and turbulence intensity give realistic power spectral densities in the desired frequency ranges. The Department of Defense specifications include choices for both parameters, including their dependence on altitude, which are summarized below.


Low altitude

Low altitude is defined as altitudes between 10 ft AGL and 1000 ft AGL.


Length scales

At low altitude, the scale lengths are functions of altitude, 2L_w = h L_u=2L_v=\frac where ''h'' is the altitude AGL. At 1000 ft AGL, ''Lu'' = 2''Lv'' = 2''Lw'' = 1000 ft.


Turbulence intensities

At low altitude, the turbulence intensities are parameterized by ''W''20, the wind speed at 20 ft. \sigma_w=0.1W_ \frac=\frac=\frac At 1000 ft AGL, \sigma_u=\sigma_v=\sigma_w=0.1W_


Medium/high altitude

Medium/high altitude is defined as 2000 ft AGL and above.


Length scales

For the Dryden model, L_u=2L_v=2L_w=1750 \text For the von Kármán model, L_u=2L_v=2L_w=2500 \text


Turbulence intensities

At high altitude, \sigma_u=\sigma_v=\sigma_w They are parameterized by the probability of exceedance or the turbulence severity. A plot of turbulence intensity versus altitude showing lines of constant probability of exceedance and ranges corresponding to different turbulence severities is provided in the military specifications.


Between low and medium/high altitude

From 1000 ft AGL to 2000 ft AGL, both the length scale and turbulence intensity are determined by
linear interpolation In mathematics, linear interpolation is a method of curve fitting using linear polynomials to construct new data points within the range of a discrete set of known data points. Linear interpolation between two known points If the two known po ...
between the low altitude value at 1000 ft and the medium/high altitude value at 2000 ft.


Turbulence axes

Above 1750 ft, the axes of the turbulence coincide with the wind frame axes. Below 1750 ft, the vertical turbulence axis is aligned with the Earth frame ''z''-axis, the longitudinal turbulence axis is aligned with the projection of the mean wind vector onto the Earth frame's horizontal plane, and the lateral turbulence axis is determined by the right hand rule.


See also

* Clear air turbulence * Dryden Wind Turbulence Model * Von Kármán wind turbulence model


Notes


References

* * * {{refend Atmospheric dynamics Aviation meteorology Wind