Paleo-physiography analysis

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Created: Oct 12, 2022 at 5:33 a.m.
Last updated: Oct 12, 2022 at 5:38 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

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https://github.com/Geodels/paleoPhysiography

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https://github.com/Geodels/paleoPhysiography

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https://github.com/Geodels/paleoPhysiography

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This resource belongs to the following collections:
Title Owners Sharing Status My Permission
Paleo-Physiography Project Tristan Salles  Public &  Shareable Open Access

How to Cite

Salles, T. (2022). Paleo-physiography analysis, HydroShare, http://www.hydroshare.org/resource/b89fab9209614ecd9b0d9fb2e663e730

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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