Dataset: Ultra-sensitivity of Numerical Landscape Evolution Models to their Initial Conditions
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. This dataset is associated with the following publication: https://doi.org/10.1029/2019GL083305 |
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 |
1531 times |
| Version | DOI | Comment | Publication Date |
|---|---|---|---|
| 1 | 10.13012/B2IDB-4484338_V1 | 2018-11-18 |
Contact the Research Data Service for help interpreting this log.
| RelatedMaterial | update: {"uri"=>[nil, "10.1029/2019GL083305"], "uri_type"=>[nil, "DOI"], "citation"=>["J. S. Kwang, G. Parker, Extreme Memory of Initial Conditions in Numerical Landscape Evolution Models. Geophys. Res. Lett. 46, 6563–6573 (2019).", "Kwang, J. S., & Parker, G. ( 2019). Extreme memory of initial conditions in numerical landscape evolution models. Geophysical Research Letters, 46, 6563– 6573. https://doi.org/10.1029/2019GL083305"], "datacite_list"=>[nil, "IsSupplementTo"]} | 2020-06-10T23:22:16Z |
| RelatedMaterial | create: {"material_type"=>"Article", "availability"=>nil, "link"=>"https://doi.org/10.1029/2019GL083305", "uri"=>nil, "uri_type"=>nil, "citation"=>"J. S. Kwang, G. Parker, Extreme Memory of Initial Conditions in Numerical Landscape Evolution Models. Geophys. Res. Lett. 46, 6563–6573 (2019).", "dataset_id"=>695, "selected_type"=>"Article", "datacite_list"=>nil} | 2020-06-09T13:58:44Z |
| Dataset | update: {"description"=>["This dataset contains experimental measurements used in the paper, \"Ultra-sensitivity of Numerical Landscape Evolution Models to their Initial Conditions.\" (to be submitted).\r\n\r\nThe 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.\r\n\r\nAt 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.", "This dataset contains experimental measurements used in the paper, \"Ultra-sensitivity of Numerical Landscape Evolution Models to their Initial Conditions.\" (to be submitted).\r\n\r\nThe 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.\r\n\r\nThis dataset is associated with the following publication: https://doi.org/10.1029/2019GL083305"]} | 2020-06-09T13:31:06Z |
| Dataset | update: {"publication_state"=>["file embargo", "released"], "release_date"=>[nil, Sun, 18 Nov 2018]} | 2018-11-18T20:21:01Z |
| Dataset | update: {"release_date"=>[Mon, 31 Dec 2018, nil]} | 2018-11-18T20:21:01Z |