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Lithosphere thickness map

Global maps displaying lateral variations in lithosphere thickness across the surface of the Earth.

Global maps displaying lateral variations in lithosphere thickness across the surface of the Earth. Oceanic lithosphere is assigned a thickness proportional to the square root of its age (ages are taken from Müller et al., 1997). For continental areas, characteristic thickness is determined following the method of Gung et al. (2003), who employ the maximum depth for which the seismic velocity anomaly (as determined using the seismic tomography model S20RTSb of Ritsema et al., 2004) is consistently greater than +2%. Moreover, a 100-km thickness is imposed as the minimum continental and maximum oceanic characteristic thickness. It should be kept in mind that material properties such as viscosity vary continuously throughout the depth of the lithosphere, so the definition of thickness may vary. The presented model does not assume any particular definition, but instead characterises lateral variations in layer thickness (see Conrad and Lithogow-Bertelloni, 2006). The Scientific colour map ‘acton‘ is used to represent data accurately and to all readers.

  • Creator: Fabio Crameri
  • This version: 25.10.2021
  • License: Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)
  • Specific citation: This graphic by Fabio Crameri based on data by Conrad & Lithgow-Bertelloni (2006) is available via the open-access s-ink.org repository.
  • Related reference: Conrad, C.P., and C. Lithgow-Bertelloni (2006), Influence of continental roots and asthenosphere on plate-mantle coupling, Geophysical Research Letters, 33, L05312, doi:10.1029/2005GL025621.
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Heat flow map

Global maps of the solid Earth’s surface heat flow based on Davies (2013).

Global maps of the solid Earth’s surface heat flow based on Davies (2013). Relying on over 38,000 measurements, the map is a combination of three components. First, in regions of young ocean crust (<67.7 Ma), the model estimate uses a half-space conduction model based on the age of the oceanic crust, since it is well known that raw data measurements are frequently influenced by significant hydrothermal circulation. Second, in other regions of data coverage, the estimate is based on data measurements. At the map resolution, these two categories (young ocean & data covered) cover 65% of Earth’s surface. Third, for all other regions the estimate is based on the assumption that there is a correlation between heat flow and geology. This assumption is assessed and the correlation is found to provide a minor improvement over assuming that heat flow would be represented by the global average.

The Scientific colour map ‘lipari‘ is used to represent data accurately and to all readers.

  • Creator: Fabio Crameri
  • Original version: 25.10.2021
  • This version: 10.05.2023
  • License: Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)
  • Specific citation: This graphic by Fabio Crameri based on Davies (2013) is available via the open-access s-ink.org repository.
  • Related reference: Davies, J. H. (2013), Global map of solid Earth surface heat flow, Geochem. Geophys. Geosyst., 14, 4608– 4622, doi:10.1002/ggge.20271.
  • Alternative map projections
  • Alternative colour map versions
  • Transparent background
  • Light & dark background versions
  • Perceptually uniform
  • Colour-vision deficiency friendly
  • Readable in black&white

Faulty or missing link? – Please report them via a reply below!

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