The video below shows a simplified process using Monte Carlo linear regression and sea-level fingerprinting to invert the sources of Meltwater Pulse 1A (MWP-1A) using sea-level data from six sites: Tahiti, Barbados, Sunda Shelf, Hydrographer’s Passage, Noggin Pass and Northwest Scotland.
This video is supplementary to my 2020 PALSEA virtual meeting poster, if you do not know how to assess my poster, please do not hesitate to contact me for me details!
Using the ensemble mean inversion results from 20,000 Monte Carlo simulation above, we modified MWP-1A ice history for the ANU global ice model to incorporate our result. By combining the modified ice model with 120 Earth parameters, we predict the relative sea level change history from the Last Glacial Maximum to post-MWP-1A:
RSL predictions using the modified ANU model compared with published sea-level index points. (f) Orange solid line indicates the RSL prediction generated using the optimum Earth model (65 km lithosphere thickness, 4/200×10^20Pa s upper/lower mantle viscosity) instead of the ensemble mean as in a-e. Note the different axis. CI = confidence interval.