Dynamic Critical Zone architecture driven by subsurface flow

Authors:

Emma Harrison

Owners:

Emma Harrison

Type:

Resource

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The size of this resource is 223.6 KB

Created:

Aug 29, 2019 at 12:31 a.m.

Last updated:

Aug 29, 2019 at 1:35 a.m.

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Single File Content

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Abstract

This data repository is a companion to a a manuscript submitted to JGR: Earth Surface.
Harrison , E. J. et al. 2019. Dynamic Critical Zone architecture driven by subsurface flow in the Luquillo Mountains, Puerto Rico

It contains one jupyter notebook and three data files.

1. The juypter notebook contains the companion code to generate the model and figures 5&7 in presented in the manuscript. Works with data file DA-QCalc
2. DA-QCalc contains drainage area measurements, cosmogenic 10Be derived erosion rates, and field measurements of baseflow discharge.
3. Cronus_in contains the inputs used to calculate longterm erosion rates using CRONUS https://hess.ess.washington.edu/
4. GIS_ChannelParams contains GIS measurements of channel geometries made using a 1-m LiDAR DEM, companion to Figure 3 in the manuscript

Subject Keywords

Coverage

Spatial

Coordinate System/Geographic Projection:

WGS 84 EPSG:4326

Coordinate Units:

Decimal degrees

Place/Area Name:

Rio Blanco watershed, El Yunque National Forest, Puerto Rico

Longitude

-65.7912°

Latitude

18.2708°

Streets Terrain Satelite

Spatial Extent

Content

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Additional Metadata

Name	Value
DA-QCalc.csv	Data File column descriptions: - 'Site ID' : unique identifyer for each channel, either the source point or site of discharge measurement - 'DA m^2' : drainage area of watershed above Site ID in m^2 - 'DA km^2' : drainage area of watershed above Site ID in km^2 - 'Type' : either spring or fluvial - 'Catchment' : IC for Icacos, SAB for Sabana, CUY for Cubuy, PRI for Prieto - 'Measured Q' : measured with salt plug injection or weir - 'Rainfall norm' : normalization following precipitation model from Murphey et al (2017) - 'Adjusted Q' : Q normalized between catchments to account for differences in total precip - 'Erosion rate' : m/My measured with in situ 10Be - 'Erosion uncert' : m/My uncertainty in erosion rate - 'Citation' : included if the data was originally reported in Brocard et al. 2016
Cronus_in.csv	Variables used to calculate erosion rates from the measured concentrations of 10Be using the CRONUS online calculator.
GIS_ChannelParams.csv	Contains a site ID number, watershed name, latitude and longitude coordinates (DD), elevation of the spring emergence point (m) , measurement of bankfull channel width (m), radius of the tip at the channel source point (m), calculated channel aspect ratio, the elevation of the ridgeline the channel incises (m), and the difference in elevation between the spring and the ridge crest (m). Companion to figure 3 in the manuscript.
Dynamic architecture companion code	This notebook is designed to be used in conjunction with a data file DA-QCalc.csv. It contains code to generate a model relating catchment drainage area to baseflow discharge rates by bootstrapping field measurements and averaging 1000 iterated linear regressions. The model predicts baseflow discharge rate for catchments where the drainage area has been measured. The code also runs a regression on a linear function relating measured longterm erosion rates to baseflow discharge predictions.

Related Resources

This resource is referenced by

Harrison et al. 2019. Dynamic Critical Zone architecture driven by subsurface flow. Submitted to JGR: Earth Surface

Credits

Funding Agencies

This resource was created using funding from the following sources:

Agency Name	Award Title	Award Number
National Science Foundation		1848637
National Science Foundation		1331841

Contributors

People or Organizations that contributed technically, materially, financially, or provided general support for the creation of the resource's content but are not considered authors.

Name	Organization	Address	Phone
Nathan Lyons	Tulane University
Emma Harrison	UCSD;Scripps Institution of Oceanography
Jane Willenbring	Scripps Institution of Oceanography;UC San Diego;National Center for Earth Surface Dynamics	CA, US	6122706591
Nicole Gasparini	Tulane University
Gilles Brocard

How to Cite

Harrison, E. (2019). Dynamic Critical Zone architecture driven by subsurface flow, HydroShare, http://www.hydroshare.org/resource/4bde564f41c146c68ce2d87a73f71526

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

http://creativecommons.org/licenses/by/4.0/

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