['B01', 'B02', 'B03', 'B04', 'B05', 'B06', 'B07', 'B08', 'B09', 'B10', 'B11', 'B12', 'B13', 'B14', 'B15', 'B16']

['airmass', 'ash', 'cloud_phase_distinction', 'cloud_phase_distinction_raw', 'cloudtop', 'colorized_ir_clouds', 'convection', 'day_microphysics_ahi', 'day_microphysics_eum', 'day_severe_storms', 'dust', 'fire_temperature', 'fire_temperature_39refl', 'fire_temperature_awips', 'fire_temperature_eumetsat', 'fog', 'geo_color', 'geo_color_background_with_low_clouds', 'geo_color_high_clouds', 'geo_color_low_clouds', 'geo_color_night', 'hybrid_green', 'hybrid_green_nocorr', 'ir_cloud_day', 'mid_vapor', 'natural_color', 'natural_color_nocorr', 'natural_color_raw', 'natural_color_raw_with_night_ir', 'ndvi_hybrid_green', 'night_ir_alpha', 'night_ir_with_background', 'night_ir_with_background_hires', 'night_microphysics', 'night_microphysics_tropical', 'overview', 'overview_raw', 'reproduced_green', 'reproduced_green_uncorr', 'rocket_plume_night', 'true_color', 'true_color_ndvi_green', 'true_color_nocorr', 'true_color_raw', 'true_color_reproduction', 'true_color_reproduction_corr', 'true_color_reproduction_night_ir', 'true_color_reproduction_uncorr', 'true_color_with_night_ir', 'true_color_with_night_ir_hires', 'water_vapors1', 'water_vapors2']

The following datasets were not created and may require resampling to be generated: DataID(name='natural_color')

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No rsr file /home/runner/.local/share/pyspectral/rsr_ahi_Himawari-9.h5 on disk

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---------------------------------------------------------------------------
ReadError                                 Traceback (most recent call last)
Cell In[14], line 1
----> 1 lscn.load(['true_color'])
      3 ### Uncomment to show it
      4 #lscn.show('true_color')

File ~/micromamba/envs/geostationary-cookbook/lib/python3.14/site-packages/satpy/scene.py:1484, in Scene.load(self, wishlist, calibration, resolution, polarization, level, modifiers, generate, unload, **kwargs)
   1482 self._read_datasets_from_storage(**kwargs)
   1483 if generate:
-> 1484     self.generate_possible_composites(unload)

File ~/micromamba/envs/geostationary-cookbook/lib/python3.14/site-packages/satpy/scene.py:1547, in Scene.generate_possible_composites(self, unload)
   1540 def generate_possible_composites(self, unload):
   1541     """See which composites can be generated and generate them.
   1542 
   1543     Args:
   1544         unload (bool): if the dependencies of the composites
   1545                        should be unloaded after successful generation.
   1546     """
-> 1547     keepables = self._generate_composites_from_loaded_datasets()
   1549     if self.missing_datasets:
   1550         self._remove_failed_datasets(keepables)

File ~/micromamba/envs/geostationary-cookbook/lib/python3.14/site-packages/satpy/scene.py:1566, in Scene._generate_composites_from_loaded_datasets(self)
   1563 trunk_nodes = self._dependency_tree.trunk(limit_nodes_to=self.missing_datasets,
   1564                                           limit_children_to=self._datasets.keys())
   1565 needed_comp_nodes = set(self._filter_loaded_datasets_from_trunk_nodes(trunk_nodes))
-> 1566 return self._generate_composites_nodes_from_loaded_datasets(needed_comp_nodes)

File ~/micromamba/envs/geostationary-cookbook/lib/python3.14/site-packages/satpy/scene.py:1572, in Scene._generate_composites_nodes_from_loaded_datasets(self, compositor_nodes)
   1570 keepables = set()
   1571 for node in compositor_nodes:
-> 1572     self._generate_composite(node, keepables)
   1573 return keepables

File ~/micromamba/envs/geostationary-cookbook/lib/python3.14/site-packages/satpy/scene.py:1630, in Scene._generate_composite(self, comp_node, keepables)
   1627     return
   1629 try:
-> 1630     composite = compositor(prereq_datasets,
   1631                            optional_datasets=optional_datasets,
   1632                            **comp_node.name.to_dict())
   1633     cid = DataID.new_id_from_dataarray(composite)
   1634     self._datasets[cid] = composite

File ~/micromamba/envs/geostationary-cookbook/lib/python3.14/site-packages/satpy/modifiers/atmosphere.py:112, in PSPRayleighReflectance.__call__(self, projectables, optional_datasets, **info)
    107 corrector = Rayleigh(vis.attrs["platform_name"], vis.attrs["sensor"],
    108                      atmosphere=atmosphere,
    109                      aerosol_type=aerosol_type)
    111 try:
--> 112     refl_cor_band = corrector.get_reflectance(sunz, satz, ssadiff,
    113                                               vis.attrs["name"],
    114                                               red.data)
    115 except (KeyError, IOError):
    116     logger.warning("Could not get the reflectance correction using band name: %s", vis.attrs["name"])

File ~/micromamba/envs/geostationary-cookbook/lib/python3.14/site-packages/pyspectral/rayleigh.py:252, in Rayleigh.get_reflectance(self, sun_zenith, sat_zenith, azidiff, band_name_or_wavelength, redband)
    248 # if the user gave us non-dask arrays we'll use the dask
    249 # version of the algorithm but return numpy arrays back
    250 compute = da is not None and not isinstance(sun_zenith, da.Array)
--> 252 wvl, band_name = self._get_effective_wavelength_and_band_name(band_name_or_wavelength)
    253 repr_arr = sun_zenith if redband is None else redband
    254 try:

File ~/micromamba/envs/geostationary-cookbook/lib/python3.14/site-packages/pyspectral/rayleigh.py:208, in Rayleigh._get_effective_wavelength_and_band_name(self, band_name_or_wavelength)
    206 else:
    207     band_name = band_name_or_wavelength
--> 208     wvl = _get_rsr_wavelength_from_band_name(
    209         self.platform_name,
    210         self.sensor,
    211         band_name,
    212     )
    213     band_name_map = BANDNAMES.get(self.sensor, BANDNAMES['generic'])
    214     band_name_or_wavelength = band_name_map.get(band_name, band_name)

File ~/micromamba/envs/geostationary-cookbook/lib/python3.14/site-packages/pyspectral/rayleigh.py:306, in _get_rsr_wavelength_from_band_name(platform_name, sensor, band_name)
    304 def _get_rsr_wavelength_from_band_name(platform_name, sensor, band_name):
    305     try:
--> 306         rsr = RelativeSpectralResponse(platform_name, sensor)
    307     except OSError:
    308         LOG.exception(
    309             "No spectral responses for this platform and sensor: %s %s", platform_name, sensor)

File ~/micromamba/envs/geostationary-cookbook/lib/python3.14/site-packages/pyspectral/rsr_reader.py:136, in RelativeSpectralResponse.__init__(self, platform_name, instrument, filename)
    133 self.instrument = instrument
    134 self.filename = filename
--> 136 self._check_consistent_input()
    138 self.load()
    139 self.rsr.instrument = self.instrument

File ~/micromamba/envs/geostationary-cookbook/lib/python3.14/site-packages/pyspectral/rsr_reader.py:149, in RelativeSpectralResponse._check_consistent_input(self)
    145         raise AttributeError(
    146             "Either platform name and sensor, or filename, must be specified")
    148     self._check_instrument()
--> 149     self._get_filename()
    151 self._check_filename_exist()

File ~/micromamba/envs/geostationary-cookbook/lib/python3.14/site-packages/pyspectral/rsr_reader.py:173, in RelativeSpectralResponse._get_filename(self)
    171 if self.do_download:
    172     LOG.info("Will download from internet...")
--> 173     download_rsr()
    174     if self._get_rsr_data_version() == RSR_DATA_VERSION:
    175         self._rsr_data_version_uptodate = True

File ~/micromamba/envs/geostationary-cookbook/lib/python3.14/site-packages/pyspectral/utils.py:361, in download_rsr(dest_dir, dry_run)
    358 if dry_run:
    359     return
--> 361 _download_tarball_and_extract(HTTP_PYSPECTRAL_RSR, filename, dest_dir)

File ~/micromamba/envs/geostationary-cookbook/lib/python3.14/site-packages/pyspectral/utils.py:420, in _download_tarball_and_extract(tarball_url, local_pathname, extract_dir)
    415     for data in _tqdm_or_iter(response.iter_content(chunk_size=chunk_size),
    416                               total=(int(total_size / chunk_size + 0.5)),
    417                               unit='kB'):
    418         handle.write(data)
--> 420 tar = tarfile.open(local_pathname)
    421 tar_kwargs = {} if sys.version_info < (3, 12) else {"filter": "data"}
    422 tar.extractall(extract_dir, **tar_kwargs)

File ~/micromamba/envs/geostationary-cookbook/lib/python3.14/tarfile.py:1904, in TarFile.open(cls, name, mode, fileobj, bufsize, **kwargs)
   1902             continue
   1903     error_msgs_summary = '\n'.join(error_msgs)
-> 1904     raise ReadError(f"file could not be opened successfully:\n{error_msgs_summary}")
   1906 elif ":" in mode:
   1907     filemode, comptype = mode.split(":", 1)

ReadError: file could not be opened successfully:
- method gz: ReadError('not a gzip file')
- method bz2: ReadError('not a bzip2 file')
- method xz: ReadError('not an lzma file')
- method zst: ReadError('not a zstd file')
- method tar: ReadError('truncated header')