Paleo-Physiography Project


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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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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).

Jupyter workflows to extract information from the resources using Hydroshare THREDDS Data Service: https://github.com/Geodels/paleoPhysiography

Subject Keywords

Coverage

Spatial

Coordinate System/Geographic Projection:
WGS84 EPSG:4326
Coordinate Units:
['Decimal degrees']
North Latitude
90.0000°
East Longitude
-180.0000°
South Latitude
-90.0000°
West Longitude
180.0000°

Collection Contents

Add Title Type Owners Sharing Status Remove
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

Learn more about the BagIt download

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

Credits

Funding Agencies

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

Salles, T., L. Husson, M. Lorcery, B. H. Boggiani (2022). Paleo-Physiography Project, HydroShare, http://www.hydroshare.org/resource/0106c156507c4861b4cfd404022f9580

This resource is shared under the Creative Commons Attribution CC BY.

http://creativecommons.org/licenses/by/4.0/
CC-BY

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