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|Created:||Oct 05, 2022 at 12:01 a.m.|
|Last updated:|| Oct 12, 2022 at 5:40 a.m.
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The dataset contains netcdf outputs from global-scale landscape evolution model assimilating paleo-elevation and paleo-climate reconstructions over the past 541 Myr. The results are provided as global 0.05 degree resolution grids and include high resolution paleo-physiography maps, water and sediment fluxes, long-term erosion/deposition rates, and several morphometrics related to landscape dynamics (i.e., drainage basin ids, topographic position index, physiographic diversity).
The simulations are performed using goSPL model (Global Scalable Paleo Landscape Evolution - https://gospl.readthedocs.io) and rely on the paleo-elevation reconstructions from Scotese & Wright (2018) (PALEOMAP Project - https://doi.org/10.5281/zenodo.5460860) and precipitation grids from Valdes et al. (2021) (https://doi.org/10.5194/cp-17-1483-2021 | data available from the Bristol Research Initiative for the Dynamic Global Environment. Model ref: https://www.paleo.bristol.ac.uk/ummodel/scripts/html_bridge/scotese_02.html).
Jupyter workflows to extract information from the resources using Hydroshare THREDDS Data Service: https://github.com/Geodels/paleoPhysiography
|Paleo-Physiography Maps 0Ma to 127Ma||Resource||Tristan Salles||Public & Shareable|
|Paleo-Physiography Maps 131Ma to 280Ma||Resource||Laurent Husson||Public & Shareable|
|Paleo-Physiography Maps 287Ma to 449Ma||Resource||Manon Lorcery||Public & Shareable|
|Paleo-Physiography Maps 456Ma to 541Ma||Resource||Beatriz Hadler Boggiani||Public & Shareable|
|Paleo-Physiography Elevation-only Dataset||Resource||Beatriz Hadler Boggiani||Public & Shareable|
|Paleo-flux Phanerozoic per basins (sediment and water)||Resource||Tristan Salles||Public & Shareable|
|Paleo-physiography analysis||App Connector||Tristan Salles||Public & Shareable|
|The content of this resource references||Scotese & Wright (2018) | PALEOMAP Project - https://doi.org/10.5281/zenodo.5460860|
|The content of this resource references||Mean precipitation grids from Valdes et al. (2021) - https://doi.org/10.5194/cp-17-1483-2021 | data available from the Bristol Research Initiative for the Dynamic Global Environment | Model ref: https://www.paleo.bristol.ac.uk/ummodel/scripts/html_bridge/scotese_02.html|
This resource was created using funding from the following sources:
|Agency Name||Award Title||Award Number|
|Australian Research Council||ARC Training Centre in Data Analytics for Resources and Environments (DARE)||GRANT_NUMBER: IC190100031|
|University of Sydney||Modelling the deep Earth to predict climate change||Artemis HPC Grand Challenge|
How to Cite
This resource is shared under the Creative Commons Attribution CC BY.http://creativecommons.org/licenses/by/4.0/