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Data and code for Bed and Bank Stress Partitioning in Bedrock Rivers

Description: The is the data and code for Bed and Bank Stress Partitioning in Bedrock Rivers submitted to Journal of Geophysical Research, Earth Surface.
The data includes the velocity profiles, the topography, the width, and the shear stress distributions obaserved in the Fraser Canyons, the raw data is from the dataset https://doi.org/10.20383/101.0277;
The data also includes the modelled ratio of wall to bed stress as a function of bank angles, bottom channel width and discharge, calculated from the Ray-Isovel Model;
The Matlab code of the Ray-Isovel Model can be found from the file RIM, which was written by our coauther Peter Nelson. The main function of the model is fraser.m, you can run fraser.m using an example. If you want to change inputs, you can open getinput_fin1.m, and change varibles, for example ks, qw, bank angles.
Notes: Item exited embargo and became publicly available on 2021-10-30
Authors: Li, Tingan; Simon Fraser University; ORCID iD 0000-0002-6006-7712
Venditti, Jeremy G.; Simon Fraser University
Rennie, Colin D.; University of Ottawa
Nelson, Peter; Colorado State University
Keywords: Fraser canyons
Ray-Isovel Model
shear stress partitioning
plunging flow
bedrock roughness
Field of Research: 
Earth and related environmental sciences
>
Geophysics
>
Geophysics, not elsewhere classified
Publication Date: 2021-10-30
Publisher: Federated Research Data Repository / dépôt fédéré de données de recherche
Funder: Natural Sciences and Engineering Research Council of Canada (NSERC); Discovery Grant and Accelerator Supplement
URI: https://doi.org/10.20383/102.0516
Related Identifiers: 
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This dataset is derived from
Appears in Collections:SFU Research Data

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Access to this dataset is subject to the following terms:
Creative Commons Attribution 4.0 International (CC BY 4.0) https://creativecommons.org/licenses/by/4.0/
Citation
Li, T., Venditti, J., Rennie, C., Nelson, P. (2021). Data and code for Bed and Bank Stress Partitioning in Bedrock Rivers. Federated Research Data Repository. https://doi.org/10.20383/102.0516