GARDEN - A flow vector tool for EDEN
June 26, 2024
The GrAdient-Related Discharge in an Everglades Network (GARDEN) software computes flow in the Greater Everglades with a command-line Python script (Python Software Foundation. The script validates command-line arguments, fetches necessary EDEN water-level and depth data by means of the Xarray Python package, and then converts the data to imperial units (centimeters to feet). The main calculation is then performed by the NumPy package.
Citation Information
Publication Year | 2024 |
---|---|
Title | GARDEN - A flow vector tool for EDEN |
DOI | 10.5066/P138WZSY |
Authors | Eric D Swain, Travis C Adams |
Product Type | Software Release |
Record Source | USGS Asset Identifier Service (AIS) |
USGS Organization | Caribbean-Florida Water Science Center - Tampa, FL Office |
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Related
Representation of surface-water flows using Gradient-Related Discharge in an Everglades Network
The Everglades Depth Estimation Network interpolates water-level gage data to produce daily water-level elevations for the Everglades in south Florida. These elevations were used to estimate flow vectors (gradients and directions) and volumetric flow rates using the Gradient-Related Discharge in an Everglades Network (GARDEN) application developed by the U.S. Geological Survey in...
Authors
Eric D. Swain, T. Adams
Eric D. Swain, Ph.D. (Former Employee)
Research Hydrologist (RGE)
Research Hydrologist (RGE)
Travis Adams
Computer Scientist
Computer Scientist
Email
Phone