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Bedrock controls on water and energy partitioning across the western contiguous United States


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Storage: The size of this resource is 146.3 MB
Created: Nov 09, 2023 at 10:48 p.m.
Last updated: 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

Coordinate System/Geographic Projection:
WGS 84 EPSG:4326
Coordinate Units:
Decimal degrees
North Latitude
49.3894°
East Longitude
-66.9425°
South Latitude
24.5150°
West Longitude
-124.7670°

Content

Data Services

The following web services are available for data contained in this resource. Geospatial Feature and Raster data are made available via Open Geospatial Consortium Web Services. The provided links can be copied and pasted into GIS software to access these data. Multidimensional NetCDF data are made available via a THREDDS Data Server using remote data access protocols such as OPeNDAP. Other data services may be made available in the future to support additional data types.

How to Cite

Ehlert, R., W. J. Hahm, D. Dralle, D. M. Rempe, D. M. Allen (2023). Bedrock controls on water and energy partitioning across the western contiguous United States, HydroShare, https://doi.org/10.4211/hs.191353753cc44de891ee392b95aae22b

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

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

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