['C01', 'C02', 'C03', 'C04', 'C05', 'C06', 'C07', 'C08', 'C09', 'C10', 'C11', 'C12', 'C13', 'C14', 'C15', 'C16']

['24h_microphysics', 'airmass', 'ash', 'cimss_cloud_type', 'cimss_cloud_type_raw', 'cimss_green', 'cimss_green_sunz', 'cimss_green_sunz_rayleigh', 'cimss_true_color', 'cimss_true_color_sunz', 'cimss_true_color_sunz_rayleigh', 'cira_day_convection', 'cira_fire_temperature', 'cloud_phase', 'cloud_phase_distinction', 'cloud_phase_distinction_raw', 'cloud_phase_raw', 'cloudtop', 'color_infrared', 'colorized_ir_clouds', 'convection', 'day_blowing_snow', 'day_cloud_type', 'day_cloud_type_distinction', 'day_cloud_type_distinction_raw', 'day_microphysics', 'day_microphysics_abi', 'day_microphysics_eum', 'day_severe_storms', 'day_severe_storms_tropical', 'dust', 'fire_temperature_awips', 'fog', 'geo_color', 'geo_color_background_with_low_clouds', 'geo_color_high_clouds', 'geo_color_low_clouds', 'geo_color_night', 'green', 'green_crefl', 'green_nocorr', 'green_raw', 'green_snow', 'highlight_C14', 'ir108_3d', 'ir_cloud_day', 'land_cloud', 'land_cloud_fire', 'natural_color', 'natural_color_nocorr', 'natural_color_raw', 'natural_color_raw_with_night_ir', 'night_fog', 'night_ir_alpha', 'night_ir_with_background', 'night_ir_with_background_hires', 'night_microphysics', 'night_microphysics_eum', 'night_microphysics_tropical', 'overshooting_tops', 'overview', 'overview_raw', 'rocket_plume_day', 'rocket_plume_night', 'simple_water_vapor', 'snow', 'snow_fog', 'so2', 'tropical_airmass', 'true_color', 'true_color_crefl', 'true_color_nocorr', 'true_color_raw', 'true_color_reproduction', 'true_color_reproduction_corr', 'true_color_reproduction_uncorr', 'true_color_with_night_fires', 'true_color_with_night_fires_nocorr', 'true_color_with_night_ir', 'true_color_with_night_ir_hires', 'volcanic_emissions', '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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---------------------------------------------------------------------------
ReadError                                 Traceback (most recent call last)
Cell In[16], 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:1596, in Scene._generate_composite(self, comp_node, keepables)
   1594 try:
   1595     delayed_prereq = False
-> 1596     prereq_datasets = self._get_prereq_datasets(
   1597         comp_node.name,
   1598         prereqs,
   1599         keepables,
   1600     )
   1601 except DelayedGeneration:
   1602     # if we are missing a required dependency that could be generated
   1603     # later then we need to wait to return until after we've also
   1604     # processed the optional dependencies
   1605     delayed_prereq = True

File ~/micromamba/envs/geostationary-cookbook/lib/python3.14/site-packages/satpy/scene.py:1678, in Scene._get_prereq_datasets(self, comp_id, prereq_nodes, keepables, skip)
   1675 prereq_id = prereq_node.name
   1676 if prereq_id not in self._datasets and prereq_id not in keepables \
   1677         and isinstance(prereq_node, CompositorNode):
-> 1678     self._generate_composite(prereq_node, keepables)
   1680 # composite generation may have updated the DataID
   1681 prereq_id = prereq_node.name

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:107, in PSPRayleighReflectance.__call__(self, projectables, optional_datasets, **info)
    102 reduce_strength = np.clip(self.attrs.get("reduce_strength", 0), 0, 1).astype(vis.dtype)
    104 logger.info("Removing Rayleigh scattering with atmosphere '%s' and "
    105             "aerosol type '%s' for '%s'",
    106             atmosphere, aerosol_type, vis.attrs["name"])
--> 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)

File ~/micromamba/envs/geostationary-cookbook/lib/python3.14/site-packages/pyspectral/rayleigh.py:173, in Rayleigh.__init__(self, platform_name, sensor, **kwargs)
    171 if not self._lutfiles_version_uptodate and self.do_download:
    172     LOG.info("Will download from internet...")
--> 173     download_luts(aerosol_types=[aerosol_type])
    175 if (not os.path.exists(self.reflectance_lut_filename) or
    176         not os.path.isfile(self.reflectance_lut_filename)):
    177     raise IOError('pyspectral file for Rayleigh scattering correction ' +
    178                   'does not exist! Filename = ' +
    179                   str(self.reflectance_lut_filename))

File ~/micromamba/envs/geostationary-cookbook/lib/python3.14/site-packages/pyspectral/utils.py:393, in download_luts(aerosol_types, dry_run, aerosol_type)
    390     continue
    392 local_tarball_pathname = os.path.join(subdir_path, "pyspectral_rayleigh_correction_luts.tgz")
--> 393 _download_tarball_and_extract(lut_tarball_url, local_tarball_pathname, subdir_path)

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')