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Datasets associated with the manuscript "Mass and Momentum Flux Prediction at the Channel-Floodplain Interface Associated with Riparian Vegetation"


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Created: Nov 17, 2023 at 3:52 a.m.
Last updated: Nov 17, 2023 at 4:41 a.m.
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Abstract

The datasets in this repository are associated with “This repository consists of the data associated with the Manuscript "Mass and MomentumFlux Prediction at the Channel-Floodplain Interface Associated with Riparian Vegetation."

The model output folder consists of data for both vegetation-induced and user-assigned roughness conditions for different flow scenarios and vegetation densities. Data also includes the nodes of the left and right bank at the channel-floodplain interface, including the Python script used for post-processing the model outputs for calculating mass and momentum flux analyzed in this manuscript.

Please contact cha.smriti@gmail with any questions related to this dataset.

Subject Keywords

Coverage

Spatial

Coordinate System/Geographic Projection:
WGS 84 EPSG:4326
Coordinate Units:
Decimal degrees
Longitude
-119.9948°
Latitude
36.8297°

Content

ReadMe.txt

*****  Data description for the calculation of mass and momentum flux *****
-------------------------------------------------------------------------

This repository consists of the data associated with the Manuscript "Mass and Momentum
Flux Prediction at the Channel-Floodplain Interface Associated with Riparian Vegetation"

Folder "Left-bank-Right-bank-nodes": Contains the nodes for both left and right bank at 
the channel-floodplain interface

Model_outputs: contains the model outputs files for both hypothetical and natural, 
irregular channel 

Data naming convention:
Model was simulated for three different flows 31, 113, and 212 m3/s, for both 
user-assigned and vegetation-induced roughness approach

For the user-assigned roughness approach, datasets were named 31UA [31 represents the
 flows, and UA refers to user-assigned roughness]
	
For vegetation-induced roughness, Järvelä (2004) was used to determine roughness.

Datasets naming conventions are described with examples from the folder:
J31 is the model output for the vegetation-induced roughness approach for discharge 31 m3/s	
J31_n is roughness for vegetation-induced roughness approach for discharge 31 m3/s

For varying vegetation density model output: J113D50 is for 50% decreased (D) vegetation 
density for 31 m/s for the user-assigned roughness approach.
 “I” refers to the density increased condition.

Please contact cha.smriti@gmail.com with any questions related to this datasets or manuscript.

Credits

Funding Agencies

This resource was created using funding from the following sources:
Agency Name Award Title Award Number
National Science Foundation

How to Cite

Chaulagain, S., M. Stone, R. Morrison, C. F. Byrne (2023). Datasets associated with the manuscript "Mass and Momentum Flux Prediction at the Channel-Floodplain Interface Associated with Riparian Vegetation", HydroShare, http://www.hydroshare.org/resource/fa73438492774854bffb8854b9de3af4

This resource is shared under the Creative Commons Attribution CC BY.

http://creativecommons.org/licenses/by/4.0/
CC-BY

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