Dataset: Ultra-sensitivity of Numerical Landscape Evolution Models to their Initial Conditions
Citation:
Kwang, Jeffrey; Parker, Gary (2018): Dataset: Ultra-sensitivity of Numerical Landscape Evolution Models to their Initial Conditions. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-4484338_V1
If you use this dataset, please cite it.
Dataset Description

This dataset contains experimental measurements used in the paper, "Ultra-sensitivity of Numerical Landscape Evolution Models to their Initial Conditions." (to be submitted).

The data is taken from experimental runs in a miniature landscape model named the eXperimental Landscape Evolution (XLE) facility. In this facility, we complete five >24hr runs at 5 minute temporal resolution. Every five minutes, an planform image was capture, and a digital elevation model (DEM) was generated. For each run, images and a corresponding animation of images are documented. In addition,ASCII formatted DEMs along with color hillshade maps were generated. The hillshade map images were also made into an animation.

At the time of uploading this dataset, the paper has not been published. A link to the paper will be added at the time of publication.
Subject Technology and Engineering
Keywords landscape evolution model; digital elevation model; geomorphology
License CC0
Funder U.S. National Science Foundation (NSF) - Grant: DGE-1144245
Funder U.S. National Science Foundation (NSF) - Grant: EAR-1427262
Corresponding Creator Jeffrey Kwang
Downloaded 107 times
Version DOI Comment Publication Date
1 10.13012/B2IDB-4484338_V1 2018-11-18
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update: {"publication_state"=>["file embargo", "released"], "release_date"=>[nil, Sun, 18 Nov 2018]} 2018-11-18T20:21:01Z
update: {"release_date"=>[Mon, 31 Dec 2018, nil]} 2018-11-18T20:21:01Z