9000 Streampower-Diffusion Model Run Outputs
Authors/Creators
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1.
University of Colorado Boulder
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2.
Cooperative Institute for Research in Environmental Sciences
Description
This dataset consists of the final topography from 9000 different model runs of a streampower-diffusion model. The model code used is attached in "diffusion_streampower_lem.py" and uses the LinearDiffuser, FlowAccumulator and FastscapeEroder components from the Landlab modeling framework. The models themselves were run with the LandlabBatcher utility, which used the model_params.json to define the parameters of the models and model_runs.db to keep track of which model runs correspond to what parameters and other metadata. The model runs use the follwing parameters, taken after Perron et al. 2008 (parameters also described in the model_params.json, model_runs.db, and model_runs.csv files)
| Parameter | Value |
| Rows | 300 |
| Columns | 100 |
| Grid Spacing | 5 Meter |
| Runtime | 3,000,000 Years |
| Timestep | 500 Years |
| Uplift Rate | 0.001 Meters/Year |
| Diffusivity | 0.005-0.02 Meters^2/Year (30 evenly spaced values) |
| Streampower K | 0.00015-0.002 m^(0.4)/Year (30 evenly spaced valyes) |
| Streampower m | 0.3 |
| Streampower n | 0.7 |
Each set of parameters was run for 10 different random initial topographys, controlled by an expliclty set random seed. Each model run is saved as numpy array and labeled by a UUID. Use the model_run_params table in the model_runs.db, or the model_runs.csv file to match specific parameter sets to model run UUIDs. The model run .npy files are in the model_run_topography.tar.gz file