I've been searching for a map depicting the age of each part of the crust for a long time. I'm not a geologist but I'm a physicist so I would like to know about the most up-to-date and accurate references possible.

Since this is not my field I would like to know if these are "old models" now; Müller et al. (2008) gave an age model for the oceanic crust and the relevant revised data can be downloaded from earthbytes.

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But models for the continental crust age seem to be less reliable (lower spatial resolution, less resolution in the time domain and less coherent sources blended toghether). I've found this one from Irina M. Artemieva (2005).

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But there are two main problems with this map: 1) I'm unable to find the dataset anywhere and 2) between Müller's and Irina's maps there are missing parts (submerged continental crust like in Zelandia or the arctic) from which I would like to know the age also.

In short: I would like to know if there's a coherent global map of the age of the crust, with no regional gaps and up-to-date. It would be great if the data can be downloaded so I can visualize it myself with python or something similar. If there are no maps like that then I would like the best possible maps of the age of the continental crust so I can blend it with the Müller's map.

Thank you in advance.

  • $\begingroup$ "submerged continental crust" = "continental shelf". It's the light grey areas on the oceanic crust age map. I don't think there have been many studies of the continental shelf basement rock. $\endgroup$ – Spencer Aug 22 '20 at 17:25
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    $\begingroup$ continetal crust age is difficult to sample as it can lie under hundreds or even thousands of feed of sedimentary deposits. It generally requires a lot of drilling to measure. $\endgroup$ – John Aug 22 '20 at 22:43
  • $\begingroup$ @Swike: one can physically date the solidifaction of volcanic rocks (simple for ocean floor), and use stratigraphy to go relative from there on in continental crust. It'll be a lot of work to scan through papers and look for such dates. Nice task for big data. Or use a proxy like heat flow to derive an age function as in the paper. Maybe there are other methods, idk. $\endgroup$ – user20217 Aug 23 '20 at 8:23

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