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| Type: | Resource | |
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| Created: | Dec 05, 2021 at 7:37 p.m. | |
| Last updated: | Apr 15, 2022 at 7:07 p.m. (Metadata update) | |
| Published date: | Apr 15, 2022 at 7:07 p.m. | |
| DOI: | 10.4211/hs.aa8e4a74550f46e191f6f19d3adb740a | |
| Citation: | See how to cite this resource |
| Sharing Status: | Published |
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Abstract
The accompanying files provide the data and processing code for the analyses and figure/table generation for the manuscript "Bedrock vadose zone storage dynamics under extreme drought: consequences for plant water availability, recharge, and runoff" by Hahm et al.
The processing code is in the form of python notebooks, which were originally excuted via Google's colab environment.
To run the code as-is, the entire folder should be placed into the appropriate folder path structure on a user's google drive folder, a Google Earth Engine account must exist, and the code should be run from Colab. This folder structure is: 'My Drive/Colab Notebooks/Rancho - Rock Moisture/'
If this is not possible, the code can be executed by re-arranging the file paths to load in the static .CSV saved data files in the CSVs folder as pandas data frames at the appropriate locations.
Subject Keywords
Content
Readme.txt
The accompanying files provide the data and processing code for the analyses and figure/table generation for the manuscript "Bedrock water storage dynamics under extreme drought: consequences for plant water availability, recharge, and runoff" by Hahm et al. The processing code is in the form of python notebooks, which were originally excuted via Google's colab environment. To run the code as-is, the entire folder should be placed into the appropriate folder path structure on a user's google drive folder, a Google Earth Engine account must exist, and the code should be run from Colab. This folder structure is: 'My Drive/Colab Notebooks/Rancho - Rock Moisture/' If this is not possible, the code can be executed by re-arranging the file paths to load in the static .CSV saved data files in the CSVs folder as pandas data frames at the appropriate locations.
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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