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Автор Bishop, Garner C.
Автор Chellis, Suzanne E.
Дата выпуска 1989
dc.description Measured under‐ice acoustic profile data and several large‐scale geometric parameters of ice keels are used to construct and partition an ensemble of large‐scale relief features into two subsets: a subset of keel‐like features (e.g., ice keels) and a subset of nonkeel‐like features. The draft data of each feature are regarded as a realization of a nonstationary random process while the draft increment data are regarded as a realization of a stationary zero mean random process. A maximum likelihood estimator technique (MLE) and a technique based on the variance function are used to calculate fractal dimensions for keel‐like and nonkeel‐like features. It is shown that for the same feature, the MLE technique and the variance function based technique yield similar values for the fractal dimension (D) and that for keel‐like features 1.2 < D < 1.7 while for nonkeel‐like features 1.2 < D < 1.6. The use of D in feature classification is also indicated.
Формат application.pdf
Копирайт Copyright 1989 by the American Geophysical Union.
Тема Oceanography: General
Тема Oceanography: General: Ocean acoustics
Тема Oceanography: General: Arctic and Antarctic oceanography
Тема Oceanography: General: Numerical modeling
Тема Oceanography: General: General or miscellaneous
Тема Oceanography: Physical
Тема Oceanography: Physical: Ice mechanics and air‐sea‐ice exchange processes
Тема Geographic Location
Тема Information Related to Geographic Region: Arctic region
Название Fractal dimension: A descriptor of ice keel surface roughness
Тип article
DOI 10.1029/GL016i009p01007
Electronic ISSN 1944-8007
Print ISSN 0094-8276
Журнал Geophysical Research Letters
Том 16
Первая страница 1007
Последняя страница 1010
Аффилиация Bishop, Garner C.; Naval Underwater Systems Center
Аффилиация Chellis, Suzanne E.; Naval Underwater Systems Center
Выпуск 9
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