Inferences of mantle viscosity based on ice age data sets: Radial structure ...
We perform joint nonlinear inversions of glacial isostatic adjustment (GIA) data, including the following: postglacial decay times in Canada and Scandinavia, the Fennoscandian relaxation spectrum (FRS), late-Holocene differential sea level (DSL) highstands (based on recent compilations of Australian...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article in Journal/Newspaper |
| Language: | English |
| Published: |
Wiley
2016
|
| Subjects: | |
| Online Access: | https://dx.doi.org/10.17863/cam.6458 https://www.repository.cam.ac.uk/handle/1810/261284 |
| Summary: | We perform joint nonlinear inversions of glacial isostatic adjustment (GIA) data, including the following: postglacial decay times in Canada and Scandinavia, the Fennoscandian relaxation spectrum (FRS), late-Holocene differential sea level (DSL) highstands (based on recent compilations of Australian sea level histories), and the rate of change of the degree 2 zonal harmonic of the geopotential, $J_2$. Resolving power analyses demonstrate the following: (1) the FRS constrains mean upper mantle viscosity to be ∼3 × 10$^{20}$ Pa s, (2) postglacial decay time data require the average viscosity in the top ∼1500 km of the mantle to be 10$^{21}$ Pa s, and (3) the $J_2$ datum constrains mean lower mantle viscosity to be ∼5 × 10$^{21}$ Pa s. To reconcile (2) and (3), viscosity must increase to 10$^{22}$-10$^{23}$ Pa s in the deep mantle. Our analysis highlights the importance of accurately correcting the $J_2$ observation for modern glacier melting in order to robustly infer deep mantle viscosity. We also perform a ... |
|---|