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Fetch WaveWatch3 data.

Project description

Python interface to WAVEWATCH III data

WAVEWATCH III data in Python

Test status https://github.com/csdms/bmi-wavewatch3/workflows/Flake8/badge.svg https://github.com/csdms/bmi-wavewatch3/workflows/Black/badge.svg

About

The bmi_wavewatch3 Python package provides both a command line interface and a programming interface for downloading and working with WAVEWATCH III data.

bmi_wavewatch3 provides access to the following raster data sources,

All data sources provide both global and regional grids.

Installation

bmi_wavewatch3 can be installed by running pip install bmi-wavewatch3. It requires Python >= 3.8 to run.

If you simply can’t wait for the latest release, you can install bmi_wavewatch3 directly from GitHub,

$ pip install git+https://github.com/csdms/bmi-wavewatch3

bmi_wavewatch3 is also available through conda, conda install bmi-wavewatch3 -c conda-forge.

Usage

To get started, you can download WAVEWATCH III data by date with the ww3 command (use ww3 –help to print a brief message),

$ ww3 fetch "2010-05-22"

You can also do this through Python,

>>> from bmi_wavewatch3 import WaveWatch3
>>> WaveWatch3.fetch("2010-05-22")

The bmi_wavewatch3 package provides the WaveWatch3 class for downloading data and presenting it as an xarray Dataset.

>>> from bmi_wavewatch3 import WaveWatch3
>>> ww3 = WaveWatch3("2010-05-22")
>>> ww3.data
<xarray.Dataset>
...

Use the inc method to advance in time month-by-month,

>>> ww3.date
'2010-05-22'
>>> ww3.inc()
'2010-06-22'
>>> ww3.data.time
<xarray.DataArray 'time' ()>
array('2010-06-01T00:00:00.000000000', dtype='datetime64[ns]')
...

This will download new datasets as necessary and load the new data into the data attribute.

Example

>>> from bmi_wavewatch3 import WaveWatch3
>>> ww3 = WaveWatch3("2009-11-08")

The data can be accessed as an xarray Dataset through the data attribute.

>>> ww3.data
<xarray.Dataset>
Dimensions:     (step: 241, latitude: 311, longitude: 720)
Coordinates:
    time        datetime64[ns] 2009-11-01
  * step        (step) timedelta64[ns] 0 days 00:00:00 ... 30 days 00:00:00
    surface     float64 1.0
  * latitude    (latitude) float64 77.5 77.0 76.5 76.0 ... -76.5 -77.0 -77.5
  * longitude   (longitude) float64 0.0 0.5 1.0 1.5 ... 358.0 358.5 359.0 359.5
    valid_time  (step) datetime64[ns] dask.array<chunksize=(241,), meta=np.ndarray>
Data variables:
    dirpw       (step, latitude, longitude) float32 dask.array<chunksize=(241, 311, 720), meta=np.ndarray>
    perpw       (step, latitude, longitude) float32 dask.array<chunksize=(241, 311, 720), meta=np.ndarray>
    swh         (step, latitude, longitude) float32 dask.array<chunksize=(241, 311, 720), meta=np.ndarray>
    u           (step, latitude, longitude) float32 dask.array<chunksize=(241, 311, 720), meta=np.ndarray>
    v           (step, latitude, longitude) float32 dask.array<chunksize=(241, 311, 720), meta=np.ndarray>
Attributes:
    GRIB_edition:            2
    GRIB_centre:             kwbc
    GRIB_centreDescription:  US National Weather Service - NCEP
    GRIB_subCentre:          0
    Conventions:             CF-1.7
    institution:             US National Weather Service - NCEP
    history:                 2022-06-08T16:08 GRIB to CDM+CF via cfgrib-0.9.1...

The step attribute points to the current time slice into the data (i.e number of three hour increments since the start of the month),

>>> ww3.step
56
>>> ww3.data.swh[ww3.step, :, :].plot()
Significant wave height

Credits

Development Lead

  • Eric Hutton (@mcflugen)

Contributors

None yet. Why not be the first?

Release Notes

0.1.1 (2022-06-10)

Other Changes and Additions

  • Set up GitHub Action to create a source distribution and push it to TestPyPI. This action is only run if the version tag is a prerelease version (i.e. the version string ends with [ab][0-9]+). (#10)

  • Set up GitHub Action to create a source distribution and push it to PyPI. This action is only run if the version tag is a release version (i.e. the version string doesn’t end with [ab][0-9]+). (#11)

0.1.1b1 (2022-06-09)

New Features

  • Added ww3 command line interface to download WaveWatch III data by date, region and quantity (significant wave height, wind speed, etc.). (#1)

  • Added WaveWatch3 class, which is the main access point for users of this package. This class downloads WaveWatch III data files (if not already cached) and provides a view of the data as an xarray Dataset. Users can then advance through the data month-by-month, downloading additional data as necessary. (#3)

  • Added the ww3 clean subcommand that removes cached data files. (#4)

  • Added BMIWaveWatch3 class to provide a Basic Model Interface for the wavewatch3 package. (#5)

  • Added additional WaveWatch III data sources from which users can fraw data from. (#6)

  • Added fetch method to WaveWatch3 to mimic the command line program ww3 fetch. (#7)

  • Added additional data sources from which to retreive data from. Available data sources now include: Phase 1, Phase 2, Multigrid, Multigrid-extended, and Multigrid-thredds. (#7)

  • Added ww3 info command to print information (e.g. available grids, quantities, etc.) about data sources. (#7)

  • Added a step property to WaveWatch3 to track the current time slice of the data cube. This property is also settable so that a user can use it to advance throught the data (additional data are downloaded in the background as needed). (#8)

  • Dates can now be specified as iso-formatted date/time strings. For example, “1944-06-06T06:30”. (#8)

  • Rename package to bmi_wavewatch3. This follows the convention used by other CSDMS data components. (#9)

Documentation Enhancements

  • Added package description, installation, usage, and an example to the documentation. (#8)

Other Changes and Additions

  • Set up continuous integration using GitHub actions. This includes tests to ensure that the code is styled according to black, is free of lint, and passes all unit tests. (#2)

  • Added more unit tests, particularly for data sources. (#7)

  • Added a GitHub action to build the sphinx-based documentation as part of the continuous integration. (#8)

  • Better error reporting for the command line interface for HTTP errors when retreiving data as well as input validation. (#8)

  • Set up GitHub Action to create a source distribution and push it to TestPyPI. This action is only run if the version tag is a prerelease version (i.e. the version string ends with [ab][0-9]+). (#10)

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