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Paleo-Physiography Maps 287Ma to 449Ma

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Type: Resource
Storage: The size of this resource is 18.5 GB
Created: Oct 06, 2022 at 9:50 a.m.
Last updated: Oct 07, 2022 at 6:51 a.m.
Citation: See how to cite this resource
Content types: Multidimensional Content 
Sharing Status: Public
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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 - and rely on the paleo-elevation reconstructions from Scotese & Wright (2018) (PALEOMAP Project - and precipitation grids from Valdes et al. (2021) ( | data available from the Bristol Research Initiative for the Dynamic Global Environment. Model ref:

Subject Keywords



Coordinate System/Geographic Projection:
WGS 84 EPSG:4326
Coordinate Units:
Decimal degrees
North Latitude
East Longitude
South Latitude
West Longitude


Data Services

The following web services are available for data contained in this resource. Geospatial Feature and Raster data are made available via Open Geospatial Consortium Web Services. The provided links can be copied and pasted into GIS software to access these data. Multidimensional NetCDF data are made available via a THREDDS Data Server using remote data access protocols such as OPeNDAP. Other data services may be made available in the future to support additional data types.

Related Resources

The content of this resource references Scotese & Wright (2018) | PALEOMAP Project -
The content of this resource references Mean precipitation grids from Valdes et al. (2021) - | data available from the Bristol Research Initiative for the Dynamic Global Environment | Model ref:
This resource belongs to the following collections:
Title Owners Sharing Status My Permission
Paleo-Physiography Project Tristan Salles  Public &  Shareable Open Access


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., M. Lorcery, L. Husson, B. H. Boggiani (2022). Paleo-Physiography Maps 287Ma to 449Ma, HydroShare,

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


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