2010
DOI: 10.1029/2010jb007867
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Global prediction of abyssal hill root‐mean‐square heights from small‐scale altimetric gravity variability

Abstract: [1] Abyssal hills, which are pervasive landforms on the seafloor of the Earth's oceans, represent a potential tectonic record of the history of mid-ocean ridge spreading. However, the most detailed global maps of the seafloor, derived from the satellite altimetry-based gravity field, cannot be used to deterministically characterize such small-scale (<10 km) morphology. Nevertheless, the small-scale variability of the gravity field can be related to the statistical properties of abyssal hill morphology using th… Show more

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Cited by 50 publications
(128 citation statements)
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References 45 publications
(118 reference statements)
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“…Building upon the work of Goff and Jordan [], Goff and Arbic [] estimated abyssal hill statistical parameters globally using empirical relationships derived previously between seafloor spreading rate and direction, while taking into account the smoothing effects of sediment cover. Goff [] then formulated an alternative representation of global abyssal hill statistics over a larger domain of the ocean based primarily on the small‐scale roughness of the gravity field measured by satellite altimeters. Although both can be considered realistic renderings, the latter is considered to be more accurate, particularly in more heavily sedimented regions [ Goff , ], such as the Kerguelen Plateau examined by Waterman et al .…”
Section: Lee Wave Closuresmentioning
confidence: 99%
“…Building upon the work of Goff and Jordan [], Goff and Arbic [] estimated abyssal hill statistical parameters globally using empirical relationships derived previously between seafloor spreading rate and direction, while taking into account the smoothing effects of sediment cover. Goff [] then formulated an alternative representation of global abyssal hill statistics over a larger domain of the ocean based primarily on the small‐scale roughness of the gravity field measured by satellite altimeters. Although both can be considered realistic renderings, the latter is considered to be more accurate, particularly in more heavily sedimented regions [ Goff , ], such as the Kerguelen Plateau examined by Waterman et al .…”
Section: Lee Wave Closuresmentioning
confidence: 99%
“…Above this scale, sea floor features do not appreciably increase in height as their lateral scale increases. The upper limit of the self-affine regime can be thought of as a ''characteristic scale'' of the topography (Goff and Jordan 1988). If we assume that, in the selfaffine regime, the skirt length L T is approximately a constant proportion of ''feature length'' (L x and L y ), then Eq.…”
Section: A Wind Stressmentioning
confidence: 99%
“…A major difficulty in understanding the role of smallscale topography in arresting the ocean circulation is that abyssal hill scales cannot be resolved by conventional global topographic datasets, which are largely reliant on satellite altimetric gravity measurements and have a characteristic horizontal resolution of 10-20 km (e.g., Smith and Sandwell 2004). In the present work, we take advantage of the recent development of two quasiindependent, near-global datasets of small-scale topographic parameters by Goff and Arbic (2010) and Goff (2010) (respectively referred to as GA2010 and G2010 hereafter) verified by comparison with available multibeam bathymetric observations. The GA2010 dataset predicts abyssal hill roughness statistical parameters via relationships for the average statistical properties of abyssal hills as a function of spreading rate and direction, and for the modification to these roughness parameters as a function of sediment thickness.…”
Section: ) Small-scale Topographymentioning
confidence: 99%
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“…If the topographic height has a root mean square value of order 200 m, typical of abyssal hills (Goff 2010), then η −1 rms is less than 2 days. Thus even rather small topographic features produce a topographic PV with a time scale that is much less than that of the typical drag coefficient in table 2.…”
Section: The Topographymentioning
confidence: 99%