Checking for non-preferred file/folder path names (may take a long time depending on the number of files/folders) ...

Paleo-Physiography Maps 287Ma to 449Ma
Authors:
Owners: This resource does not have an owner who is an active HydroShare user. Contact CUAHSI (help@cuahsi.org) for information on this resource.
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
Views: 436
Downloads: 111
+1 Votes: Be the first one to 
 this.
Comments: No comments (yet)

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

Coordinate System/Geographic Projection:
WGS 84 EPSG:4326
Coordinate Units:
Decimal degrees
North Latitude
90.0000°
East Longitude
180.0000°
South Latitude
-90.0000°
West Longitude
-180.0000°

Content

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.

THREDDS Data Service

https://thredds.hydroshare.org/thredds/catalog/hydroshare/resources/4e77a4298bc3452989875c5ce7a00e1a/data/contents/catalog.html

THREDDS Documentation    OPeNDAP Documentation

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
This resource belongs to the following collections:
Title Owners Sharing Status My Permission
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
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, http://www.hydroshare.org/resource/4e77a4298bc3452989875c5ce7a00e1a

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

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

Comments

There are currently no comments

New Comment

required