A physical interpretation of L is given by the Monin Obukhov similarity theory.
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Several functional forms have been proposed to represent the universal functions of similarity theory.
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The Monin Obukhov similarity theory and the Monin Obukhov Length are named after him and Russian Academician Andrei Monin.
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In reality, the universal functions need to be determined using experimental data when applying M O similarity theory.
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All other conditions at the lower boundary follow from the assumption that the Monin-Obukhov similarity theory is valid.
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Basic parameter set of the M O similarity theory includes buoyancy production \ dfrac { gQ } { T }.
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In summed similarity theory, the use of a memory matrix includes the context as an attribute in a memory vector.
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He extended dynamic similarity theory, developing a neuromaturation growth curve and proposing a risk aversion hypothesis for children's gait.
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Similarity theory is extensively used in boundary layer meteorology, since relations in turbulent processes are not always resolvable from first principles.
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This scheme is able to explain anomalies of M O similarity theory, but involves non-locality to modeling and experiments.