Paleo-Physiography Maps 0Ma to 127Ma
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Owners: | Tristan Salles |
Type: | Resource |
Storage: | The size of this resource is 21.4 GB |
Created: | Oct 03, 2022 at 4:56 a.m. |
Last updated: | Oct 07, 2022 at 6:49 a.m. |
Citation: | See how to cite this resource |
Content types: | Multidimensional Content Multidimensional Content Multidimensional Content Multidimensional Content Multidimensional Content Multidimensional Content Multidimensional Content Multidimensional Content Multidimensional Content Multidimensional Content Multidimensional Content Multidimensional Content Multidimensional Content Multidimensional Content Multidimensional Content Multidimensional Content Multidimensional Content Multidimensional Content Multidimensional Content Multidimensional Content Multidimensional Content Multidimensional Content Multidimensional Content Multidimensional Content Multidimensional Content Multidimensional Content |
Sharing Status: | Public |
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Views: | 1438 |
Downloads: | 772 |
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Abstract
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)
Subject Keywords
Coverage
Spatial





Content
Data Services
Related Resources
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 |
Title | Owners | Sharing Status | My Permission |
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Paleo-Physiography Project | Tristan Salles | Public & Shareable | Open Access |
Credits
Funding Agencies
This resource was created using funding from the following sources:
Agency Name | Award Title | Award Number |
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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-NoCommercial-ShareAlike CC BY-NC-SA.
http://creativecommons.org/licenses/by-nc-sa/4.0/
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