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Type: | Resource | |
Storage: | The size of this resource is 154.2 MB | |
Created: | Nov 09, 2023 at 10:48 p.m. | |
Last updated: | Nov 16, 2023 at 8:35 p.m. (Metadata update) | |
Published date: | Nov 16, 2023 at 8:35 p.m. | |
DOI: | 10.4211/hs.191353753cc44de891ee392b95aae22b | |
Citation: | See how to cite this resource | |
Content types: | Geographic Raster Content |
Sharing Status: | Published |
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Abstract
Data, code, and figures (QGIS map) for "Bedrock controls on water and energy partitioning across the western contiguous United States" manuscript.
bedrock_analysis.ipynb -
Jupyter Notebooks python script outlining the processed used to create the data used in figures 2 and 7.
bedrock_dataCreation.ipynb -
Jupyter Notebooks python script outlining the process used to create and export: ASI, pixel mask, ET, D, P, PET, SR, Smax, S_bedrock, aridity index, evaporative index, and land cover datasets.
bedrock_figures.ipynb -
Jupyter Notebooks python script outlining the process used to create figures 1, 6, S4, and general statistics.
bedrock_randomForest.ipynb -
Jupyter Notebooks python script outlining the process for the random forest model(s), estimation of Yang's n, and creation of figures 3, S8, S12, and S16.
Water_Balance_Comparison_for_Asynchronous_CONUS.ipynb -
Jupyter Notebooks python script outlining the process used to create supplementary figure S2.
moy_readme.txt -
Readme outlining the steps taken in QGIS to produce the moy.pdf and doy.pdf figures.
conus_med.qgz -
QGIS project file containing figures found in the manuscript.
GeoTIFFs:
misc.tif -
asi: Asynchronicity Index (ASI) for contiguous United States (-)
ai: Aridity Index (AI) for contiguous United State (-)
land cover: USGS National Land Cover Database (NLCD) classification for western CONUS (-)
doy: Average first day of year when SR > Ssoil for western CONUS (-)
deficit reset: Summed total years (2003 - 2017) where the deficit does not reset for western CONUS (-)
smax - sr: Maximum root-zone storage deficit (Smax) in excess of average root-zone storage deficit (SR) where the deficit does not reset for western CONUS (mm)
powers.tif -
may: Average latent heat flux associated with ET sourced from bedrock in May for western CONUS (W/m^2)
June: Average latent heat flux associated with ET sourced from bedrock in June for western CONUS (W/m^2)
July: Average latent heat flux associated with ET sourced from bedrock in July for western CONUS (W/m^2)
August: Average latent heat flux associated with ET sourced from bedrock in August for western CONUS (W/m^2)
September: Average latent heat flux associated with ET sourced from bedrock in September for western CONUS (W/m^2)
rf.tif -
et sr: Predicted ET with ASI, AI, and SR as input variables for western CONUS (mm)
et ssoil: Predicted ET with ASI, AI, and Ssoil as input variables for western CONUS (mm)
et sbedrock: ET sourced from Sbedrock, inferred by subtracting et ssoil from et sr for western CONUS (mm)
et/p: Evaporative index for western CONUS (-)
et/p w/o bedrock: Evaporative index when predicted ET sourced from Sbedrock is removed for western CONUS (-)
et/p relative change: Relative change in evaporative index when Sbedrock is removed for western CONUS (-)
q/p: Runoff ratio for western CONUS (-)
q/p w/o bedrock: Runoff ratio when predicted ET sourced from Sbedrock is removed for western CONUS (-)
q/p relative change: Relative change in runoff ratio when Sbedrock is removed for western CONUS (-)
rf_reset.tif -
Same as rf.tif but only for regions where the deficit has been shown to not reset annually.
rf_reset_smax.tif -
Same as rf_reset.tif but with the random forest model input Sr replaced with Smax.
Subject Keywords
Coverage
Spatial
Content
Data Services
How to Cite
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
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