xarray GAMIC backend

Contents

xarray GAMIC backend#

In this example, we read GAMIC (HDF5) data files using the xradar gamic backend.

[1]:

import glob
import wradlib as wrl
import warnings

warnings.filterwarnings("ignore")
import matplotlib.pyplot as plt
import numpy as np
import xradar as xd
import xarray as xr

try:
    get_ipython().run_line_magic("matplotlib inline")
except:
    plt.ion()

Load GAMIC HDF5 Volume Data#

[2]:

fpath = "hdf5/DWD-Vol-2_99999_20180601054047_00.h5"
f = wrl.util.get_wradlib_data_file(fpath)
vol = xd.io.open_gamic_datatree(f)

Downloading file 'hdf5/DWD-Vol-2_99999_20180601054047_00.h5' from 'https://github.com/wradlib/wradlib-data/raw/pooch/data/hdf5/DWD-Vol-2_99999_20180601054047_00.h5' to '/home/runner/work/wradlib-notebooks/wradlib-notebooks/wradlib-data'.

Create simple plot#

Using xarray features a simple plot can be created like this. Note the sortby('time') method, which sorts the radials by time.

For more details on plotting radar data see under Visualization.

[9]:

swp.DBZH.sortby("time").plot(x="range", y="time", add_labels=False)

[9]:

<matplotlib.collections.QuadMesh at 0x7ff5e2adaed0>

../../../_images/notebooks_fileio_backends_gamic_backend_17_1.png

[10]:

fig = plt.figure(figsize=(10, 10))
pm = swp.DBZH.wrl.vis.plot(crs={"latmin": 3e3}, fig=fig)

../../../_images/notebooks_fileio_backends_gamic_backend_18_0.png