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Bedrock controls on water and energy partitioning


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Created: Apr 14, 2024 at 9:16 a.m.
Last updated: Apr 17, 2024 at 12:24 p.m. (Metadata update)
Published date: Apr 17, 2024 at 12:24 p.m.
DOI: 10.4211/hs.0fa38cceb83344909bd51d3d0fec4fc8
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" 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.

Subject Keywords

Coverage

Spatial

Coordinate System/Geographic Projection:
WGS 84 EPSG:4326
Coordinate Units:
Decimal degrees
Place/Area Name:
western CONUS
North Latitude
49.3894°
East Longitude
-104.9425°
South Latitude
30.5150°
West Longitude
-125.7670°

Temporal

Start Date:
End Date:

Content

readme.txt

All mapping products are informed by either importing raster.tif / misc.tif or raster math using raster.tif and/or misc.tif. 
raster.tif and misc.tif can be exported via REV_dataCreation and REV_analysis, respectively. Layers created using raster math -
e.g. change in Q/P, change in ET/P, etc. - are not provided and will need to be reproduced by the viewer.

Example raster math used-

Description:
Sbedrock(my) - Sbedrock(a): subtract Sbedrock(a) from Sbedrock(my), as derived from the raster.tif.

Raster calculator expression:
raster@8 - ((raster@5 >= 0) * (raster5))

Explanation:
Sbedrock(my) is held in band 8 of raster.tif and Sbedrock(a) is held in band 5 of raster.tif. The annual resetting deficit method
returns negative values if Ssoil > Sr and, therefore, we have to clip the values to zero by creating a mask where Sr > Ssoil and
multiplying by the value of raster. This effectively sets pixels where Ssoil > Sr to zero and returns Sr - Ssoil if Sr > Ssoil. 

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 (2024). Bedrock controls on water and energy partitioning, HydroShare, https://doi.org/10.4211/hs.0fa38cceb83344909bd51d3d0fec4fc8

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

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

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