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Funding for this project was provided by the National Oceanic & Atmospheric Administration (NOAA), awarded to the Cooperative Institute for Research to Operations in Hydrology (CIROH) through the NOAA Cooperative Agreement with The University of Alabama (NA22NWS4320003). |
TEEHR (pronounced "tier") is a python tool set for loading, storing, processing and visualizing hydrologic data, particularly National Water Model data, for the purpose of exploring and evaluating the datasets to assess their skill and performance.
NOTE: THIS PROJECT IS UNDER DEVELOPMENT - EXPECT TO FIND BROKEN AND INCOMPLETE CODE.
The easiest way to install TEEHR is from PyPI using pip. If using pip to install TEEHR, we recommend installing TEEHR in a virtual environment. Detailed installation instuctions for macOS/Linux users are available here under 'Installation Guide for macOS & Linux'.
Currently, TEEHR dependencies require users install on Linux or macOS. To use TEEHR on Windows, we recommend Windows Subsystem for Linux (WSL). Detailed installation instructions for Windows users are available here under 'Installation Guide for Windows'.
For examples of how to use TEEHR, see the examples. We will maintain a basic set of example Jupyter Notebooks demonstrating how to use the TEEHR tools.
In May of 2023 we put on a workshop at the CIROH 1st Annual Training and Developers Conference. The workshop materials and presentation are available in the workshop GitHub repository: teehr-may-2023-workshop. This workshop was based on version 0.1.0.
The TEEHR project follows semantic versioning as described here: https://semver.org/. Note, per the specification, "Major version zero (0.y.z) is for initial development. Anything MAY change at any time. The public API SHOULD NOT be considered stable.". We are solidly in "major version zero" territory, and trying to move fast, so expect breaking changes often.