WARNING

This repo is a legacy versin of libgoods -- libgoods has undergone a majpor refactor -- the current operational version can be found at:

https://github.com/NOAA-ORR-ERD/libgoods

We are not currently maintaining this repo.

libGOODS is under active development on an internal NOAA system -- this is required by NOAA policy, and it is seeing alot of change to keep it in sync with NOAA;s operational requirments.

When it stablelizes, we will publish it here.

In the meantime, if you have an interest in the code, let us know (an issue on this project is fine) -- and we'll see what we can do to share / and / or re-vitalize this project.

libGOODS

Python package for retrieving environmental data needed for running GNOME model (shorelines, currents, winds)

NOTE:

LibGOODS is under active development -- its API will change.

Contributions are welcome, but we encourage you to work with the develop branch, and make sure to always pull the latest version before making any bug reports, comments or pull requests.

Installation

This project relies on conda for installation and managing of the project dependencies.

1. Download and install miniconda for your operating system.

2. Clone this repository with git.

3. Once conda is available build the environment for this project with. Note: Below we use an environment name of libgoods but you can choose any environment name.

   conda env create --name libgoods -c conda-forge python=3.9
   conda activate libgoods
   

   The above command creates a new conda environment titled libgoods and installs Python 3.9 from conda-forge.

4. Install project dependencies

   conda install -c conda-forge --file conda_requirements.txt
   

5. Install test dependencies

   conda install -c conda-forge --file conda_requirements_test.txt
   

6. Install the local package for development:

   pip install -e .
   

6. Install model_catalogs.

   Clone the repository at https://github.com/NOAA-ORR-ERD/model_catalogs and follow the instructions for installing the project. A summary of the steps:

   cd ../..
   git clone https://github.com/NOAA-ORR-ERD/model_catalogs/
   cd model_catalogs
   conda install -c conda-forge --file conda-requirements.txt
   pip install -r pip-requirements.txt
   pip install -e .
   

To run precommit checks

Install necessary packages, listed in conda-requirements-dev.txt, with

conda install -c conda-forge --file conda-requirements-dev.txt

Then to keep your code linted, and especially before pushing any code, run:

pre-commit run --all-files

Command-Line Examples

Usage

usage: fetch-model [-h] [-t {hindcast,nowcast,forecast}] [-s START] [-e END] [-f] [--bbox [BBOX]] [--surface] [-n STANDARD_NAMES]
                   [-o OUTPUT] [-l] [--show-bounds]
                   [model_name]

Fetch model output.

positional arguments:
  model_name            Name of the model

optional arguments:
  -h, --help            show this help message and exit
  -t {hindcast,nowcast,forecast}, --timing {hindcast,nowcast,forecast}
                        Model Timing Choice.
  -s START, --start START
                        Request start time
  -e END, --end END     Request end time
  -f, --force           Overwrite existing files
  --bbox [BBOX]         Specify the bounding box
  --surface             Fetch only surface data.
  -n STANDARD_NAMES, --standard-names STANDARD_NAMES
                        Comma-delimited list of standard names to filter.
  -o OUTPUT, --output OUTPUT
  -l, --list-models     Print the available models and exit.
  --show-bounds         Show the bounds of the model and exit.

Examples

The following example downloads HYCOM, subsets the data to a bounded region by 0° Longitude, 0° Latitude, and 10° Longitude, 10° Latitude for the dates below.

fetch-model HYCOM --surface --bbox 0,0,10,10 -t forecast -s 2022-08-15 -e 2022-08-16

By default the fetch-model command line interface will download to a new folder called output wherever the command is invoked. Clients can specify an output directory or the output filename explicitly with the -o argument.

The following example lists all the models available to the interface.

fetch-model -l

The following example displays the model's bounding box:

fetch-model LEOFS --show-bounds