ABSTRACT:

Data, code, and figures (QGIS map) for "Bedrock controls on water and energy partitioning" manuscript.

REV_dataCreation.ipynb:
Revised Jupyter Notebooks python script outlining data creation process.

REV_analysis.ipynb:
Revised Jupyter Notebooks python script outlining data analyses processes.

REV_figures_and_stats.ipynb:
Revised Jupyter Notebooks python script outlining figure creation and statistical analysis.

Water_Balance_Comparison_for_Asynchronous_CONUS.ipynb -
Jupyter Notebooks python script outlining the process used to create supplementary figure S2.

REV_conus_med.qgz -
QGIS project file containing figures found in the manuscript.

GeoTIFFs:

misc.tif -
doy: Median first day of year when Sbedrock(my) must be used for ET (-)
may: Median latent heat flux associated with bedrock-derived ET in May (W/m^2)
june: Median latent heat flux associated with bedrock-derived ET in June (W/m^2)
july: Median latent heat flux associated with bedrock-derived ET in July (W/m^2)
august: Median latent heat flux associated with bedrock-derived ET in August (W/m^2)
september: Median latent heat flux associated with bedrock-derived ET in September (W/m^2)
reset: Number of instances where the deficit reset during the study period (-)

raster.tif -
median ppt: Median annual precipitation (mm)
median et: Median annual evapotranspiration (mm)
median pet: Median annual potential evapotranspiration (mm)
Ssoil: Soil Water Storage Capacity (reported by gNATSGO) (mm)
median Sr a: Median Annual Root-Zone Storage Capacity using the Annual Resetting Method (mm)
Sbedrock a: Median Annual Sbedrock derived using the Annual Resetting Method (mm)
median Sr my: Median Annual Root-Zone Storage Capacity using the Multi-Year Deficit Accrual Method (mm)
Sbedrock my: Median Annual Sbedrock derived using the Multi-Year Deficit Accrual Method (mm)
ASI: Asynchronicity Index (via Feng et al., 2019) (-)
pet/ppt: Aridity Index (-)
et/ppt: Evaporative Index (-)
landcover: NLCD USGS 2016 landcover

readme.txt -
Readme file outlining the raster math process used to create figures in QGIS that are not exported using the Jupyter Notebooks.

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.