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|Created:||Aug 29, 2019 at 12:31 a.m.|
|Last updated:|| Aug 29, 2019 at 1:35 a.m.
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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
|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.|
|This resource is referenced by||Harrison et al. 2019. Dynamic Critical Zone architecture driven by subsurface flow. Submitted to JGR: Earth Surface|
This resource was created using funding from the following sources:
|Agency Name||Award Title||Award Number|
|National Science Foundation||1848637|
|National Science Foundation||1331841|
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.
|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|
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This resource is shared under the Creative Commons Attribution CC BY.http://creativecommons.org/licenses/by/4.0/
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