. Description, analysis and predictions of sea floor roughness using spectral models. Ocean bottom; Submarine geology. 200 10= > 10- ^ 103 â U lO-* â >- u 10' o I ^ 10'â 56 112 169 225 281 337 393 449 506 562 618 674 CUMULATIVE DATA POINTS DOWNTRACK. 10-2-1 10-3 10-2 10' 10° NORAAALIZED FREQUENCY (CYCLES/DATA INTERVAL) 10' Figure 4-3 Illustration of a typical amplitude spectrum of sea floor topography. A profile of the data, collected by SASS on the Gorda Rise, is presented above. The spectrum shows clearly the power law form as a linear fit on log-log plot. Possible extrapolations of t
. Description, analysis and predictions of sea floor roughness using spectral models. Ocean bottom; Submarine geology. 200 10= > 10- ^ 103 â U lO-* â >- u 10' o I ^ 10'â 56 112 169 225 281 337 393 449 506 562 618 674 CUMULATIVE DATA POINTS DOWNTRACK. 10-2-1 10-3 10-2 10' 10° NORAAALIZED FREQUENCY (CYCLES/DATA INTERVAL) 10' Figure 4-3 Illustration of a typical amplitude spectrum of sea floor topography. A profile of the data, collected by SASS on the Gorda Rise, is presented above. The spectrum shows clearly the power law form as a linear fit on log-log plot. Possible extrapolations of the trend are shown as dashed lines beyond the fundamental and Nyquist frequencies. 23. Please note that these images are extracted from scanned page images that may have been digitally enhanced for readability - coloration and appearance of these illustrations may not perfectly resemble the original Fox, Christopher Gene; United States. Naval Oceanographic Office. Bay St. Louis, Miss. : Naval Oceanographic Office
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Keywords: ., bookcentury1900, bookcollectionbiodivers, booksubjectoceanbottom
