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Reply to “What Is the Maximum Entropy Principle? Comments on ‘Statistical Theory on the Functional Form of Cloud Particle Size Distributions’”
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2019
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Source: Journal of the Atmospheric Sciences, 76(12), 3961-3963
[PDF-85.58 KB]
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Journal Title:Journal of the Atmospheric Sciences
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NOAA Program & Office:
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Description:We welcome the opportunity to correct the misunderstandings and misinterpretations contained in Yano’s comment that led him to incorrectly state that Wu and McFarquhar misunderstood the maximum entropy (MaxEnt) principle. As correctly stated by Yano, the principle itself does not suffer from the problem of a lack of invariance. But, as restated in this reply and in Wu and McFarquhar, the commonly used Shannon–Gibbs entropy does suffer from a lack of invariance for coordinate transform when applied in continuous cases, and this problem is resolved by the use of the relative entropy. Further, it is restated that the Wu and McFarquhar derivation of the PSD form using MaxEnt is more general than the formulation by Yano and allows more constraints with any functional relations to be applied. The derivation of Yano is nothing new but the representation of PSDs in other variables.
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Source:Journal of the Atmospheric Sciences, 76(12), 3961-3963
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DOI:
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ISSN:0022-4928;1520-0469;
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Rights Information:Other
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