1993
DOI: 10.1029/93gl00985
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Constraints on lithospheric thermal structure for the Indian Ocean from depth and heat flow data

Abstract: Models for the thermal evolution of oceanic lithosphere are primarily constrained by variations in seafloor depth and heat flow with age. These models have been largely based on data from the Pacific and Atlantic Ocean basins. We construct seafloor age relations for the Indian Ocean which we combine with bathymetric, sediment isopach and heat flow data to derive curves for depth and heat flow versus age. Comparison of these curves with predictions from three thermal models shows that they are better fit by the… Show more

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Cited by 20 publications
(7 citation statements)
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“…The presence of a swell is not as clear on the map. In the Mascarene Basin, the depths are globally lesser (400-500 m) than those predicted by GDH1 [Shoberg et al, 1993]. At its maximum, the amplitude of the swell (peripheral to the additional volcanic material) is about 800-1000 m. On the eastern flank of the Mascarene Ridge, depth is less than on the western flank, but it is generally consistent with the predicted values from the GDH1 model at about 100 km from the Mauritius FZ.…”
Section: Bathymetry and Gravity Datasupporting
confidence: 74%
“…The presence of a swell is not as clear on the map. In the Mascarene Basin, the depths are globally lesser (400-500 m) than those predicted by GDH1 [Shoberg et al, 1993]. At its maximum, the amplitude of the swell (peripheral to the additional volcanic material) is about 800-1000 m. On the eastern flank of the Mascarene Ridge, depth is less than on the western flank, but it is generally consistent with the predicted values from the GDH1 model at about 100 km from the Mauritius FZ.…”
Section: Bathymetry and Gravity Datasupporting
confidence: 74%
“…Some authors (Sclater & Wixon 1986; Hayes 1988; Renkin & Sclater 1988; Marty & Cazanave 1989; Stein & Stein 1992) corrected for sediment loading alone; they observed significantly shallower depths than Parsons & Sclater (1977) but did not consider the bias from igneous crustal thickening or surface warping due to mantle convection. Others excluded seamounts, plateaus and prominent swells such as Hawaii from their data, and consequently estimated a deeper, more plate‐like trend, but did not fully consider the full range of both positive and negative mantle dynamic topography (Shoberg et al 1993; Carlson & Johnson 1994; Doin & Fleitout 1996; Smith & Sandwell 1997; Doin & Fleitout 2000; Hillier & Watts 2005; Zhong et al 2007). Others simply excluded any data within 400–600 km of a past or present hotspot (Heestand & Crough 1981; Schroeder 1984; Korenaga & Korenaga 2008) and consequently observed an even deeper, half‐space trend, but again did not consider negative dynamic topography which tends to occur away from sites of mid‐plate volcanism.…”
Section: Introductionmentioning
confidence: 99%
“…6). The predicted depths are somewhat shallower than the predictions of GDH1, presumably because GDH1 (and PSM) were derived using data from the north Atlantic and the north Pacific, whereas the Indian Ocean is shallower (Shoberg et al, 1993). The depth and heatflow predictions for GDH2 may be conveniently and accurately approximated using a half-space model with the same parameters for young lithosphere and the first term of the series solution, with R >> π for older lithosphere (Parsons and Sclater, 1977).…”
Section: Gdh2 Modelmentioning
confidence: 91%
“…The better fit of GDH1, or similar thin-plate models, is robust. It occurs even for depth datasets from which swells are excluded (Shoberg et al, 1993;Kido and Seno, 1994). Satellite geoid data are also diagnostic, because geoid slope, the gradient of the geoid in the direction of increasing lithospheric age, should be constant with age for a half-space model, but in plate models "rolls off" at older ages at a rate depending inversely on plate thickness (Cazenave, 1984; Table 1).…”
Section: Age (Ma)mentioning
confidence: 99%