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Project description

gribberishpy

Python bindings to gribberish

Installing

With `pip`

This module has not been added to pypi yet, so for now install with git:

pip install -e "gribberish@git+https://github.com/mpiannucci/gribberish.git#egg=gribberish\&subdirectory=python"

With optional xarray support:

pip install -e "gribberish[xarray]@git+https://github.com/mpiannucci/gribberish.git#egg=gribberish\&subdirectory=python"

With optional kerchunk support:

pip install -e "gribberish[kerchunk]@git+https://github.com/mpiannucci/gribberish.git#egg=gribberish\&subdirectory=python"

Manually

pip install -e .

Usage

This module can be used directly, or via xarray.

For direct usage, see dump_raster.py.

`xarray`

To use with xarray, simply specify the gribberish backend when loading a grib2 file:

import xarray as xr
ds = xr.open_dataset('gfswave.20210826.t12z.atlocn.0p16.f000.grib2', engine='gribberish')

Some examples are provided:

xarray_usage.ipynb shows how to load a single GFS Wave model grib2 file
hrrr.ipynb shows how to load a single HRRR model grib2 file. There are multiple time and vertical coordinates in this file so it shows how the full dataset can be loaded or filtered down to only what is desired. It also demonstrates how to select data at a given point in space using the non regular gridded coordinate system.
nwps.ipynb shows how to load an entire NWPS model output that is distributed in a single grib2 file.
gfs.ipynb shows how to load a single GFS grib2 output file.
read_radar.ipynb shows how to load a single radar file from a single uncompressed MRMS grib2 file.

`kerchunk`

This package also supports building virtual datasets with kerchunk. Two examples are provided:

kerchunk_gefs_wave.ipynb shows how to build a single virtual dataset from an entire GEFS Wave Ensemble model run (30 ensemble members, 384 hour time horizon)
kerchunk_hrrr_subhourly.ipynb shows how to build a single virtual dataset from an entire HRRR subhourly surface model run. This results in a virtual dataset with data at 15 minute time intervals over the following 18 hours.

Project details

Release history Release notifications | RSS feed

0.20.2

Sep 5, 2024

0.20.1

Jul 10, 2024

This version

0.20.0

Jul 10, 2024

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gribberish 0.20.0

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