Checking for non-preferred file/folder path names (may take a long time depending on the number of files/folders) ...
This resource contains some files/folders that have non-preferred characters in their name. Show non-conforming files/folders.
This resource contains content types with files that need to be updated to match with metadata changes. Show content type files that need updating.
| Authors: |
|
|
|---|---|---|
| Owners: |
|
This resource does not have an owner who is an active HydroShare user. Contact CUAHSI (help@cuahsi.org) for information on this resource. |
| Type: | Resource | |
| Storage: | The size of this resource is 123.9 MB | |
| Created: | Apr 14, 2024 at 9:16 a.m. | |
| Last updated: | 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 |
|---|---|
| Views: | 50 |
| Downloads: | 2 |
| +1 Votes: | Be the first one to this. |
| Comments: | No comments (yet) |
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
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
How to Cite
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
Comments
There are currently no comments
New Comment