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

['24h_microphysics', 'airmass', 'ash', 'blowing_snow', '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_cloud_type', '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', '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', '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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---------------------------------------------------------------------------
EOFError                                  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/python3.13/site-packages/satpy/scene.py:1476, in Scene.load(self, wishlist, calibration, resolution, polarization, level, modifiers, generate, unload, **kwargs)
   1474 self._read_datasets_from_storage(**kwargs)
   1475 if generate:
-> 1476     self.generate_possible_composites(unload)

File ~/micromamba/envs/geostationary-cookbook/lib/python3.13/site-packages/satpy/scene.py:1539, in Scene.generate_possible_composites(self, unload)
   1532 def generate_possible_composites(self, unload):
   1533     """See which composites can be generated and generate them.
   1534 
   1535     Args:
   1536         unload (bool): if the dependencies of the composites
   1537                        should be unloaded after successful generation.
   1538     """
-> 1539     keepables = self._generate_composites_from_loaded_datasets()
   1541     if self.missing_datasets:
   1542         self._remove_failed_datasets(keepables)

File ~/micromamba/envs/geostationary-cookbook/lib/python3.13/site-packages/satpy/scene.py:1558, in Scene._generate_composites_from_loaded_datasets(self)
   1555 trunk_nodes = self._dependency_tree.trunk(limit_nodes_to=self.missing_datasets,
   1556                                           limit_children_to=self._datasets.keys())
   1557 needed_comp_nodes = set(self._filter_loaded_datasets_from_trunk_nodes(trunk_nodes))
-> 1558 return self._generate_composites_nodes_from_loaded_datasets(needed_comp_nodes)

File ~/micromamba/envs/geostationary-cookbook/lib/python3.13/site-packages/satpy/scene.py:1564, in Scene._generate_composites_nodes_from_loaded_datasets(self, compositor_nodes)
   1562 keepables = set()
   1563 for node in compositor_nodes:
-> 1564     self._generate_composite(node, keepables)
   1565 return keepables

File ~/micromamba/envs/geostationary-cookbook/lib/python3.13/site-packages/satpy/scene.py:1622, in Scene._generate_composite(self, comp_node, keepables)
   1619     return
   1621 try:
-> 1622     composite = compositor(prereq_datasets,
   1623                            optional_datasets=optional_datasets,
   1624                            **comp_node.name.to_dict())
   1625     cid = DataID.new_id_from_dataarray(composite)
   1626     self._datasets[cid] = composite

File ~/micromamba/envs/geostationary-cookbook/lib/python3.13/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/python3.13/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/python3.13/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/python3.13/site-packages/pyspectral/utils.py:422, in _download_tarball_and_extract(tarball_url, local_pathname, extract_dir)
    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)
    423 tar.close()
    424 os.remove(local_pathname)

File ~/micromamba/envs/geostationary-cookbook/lib/python3.13/tarfile.py:2355, in TarFile.extractall(self, path, members, numeric_owner, filter)
   2350     if tarinfo.isdir():
   2351         # For directories, delay setting attributes until later,
   2352         # since permissions can interfere with extraction and
   2353         # extracting contents can reset mtime.
   2354         directories.append(unfiltered)
-> 2355     self._extract_one(tarinfo, path, set_attrs=not tarinfo.isdir(),
   2356                       numeric_owner=numeric_owner,
   2357                       filter_function=filter_function)
   2359 # Reverse sort directories.
   2360 directories.sort(key=lambda a: a.name, reverse=True)

File ~/micromamba/envs/geostationary-cookbook/lib/python3.13/tarfile.py:2458, in TarFile._extract_one(self, tarinfo, path, set_attrs, numeric_owner, filter_function)
   2455 self._check("r")
   2457 try:
-> 2458     self._extract_member(tarinfo, os.path.join(path, tarinfo.name),
   2459                          set_attrs=set_attrs,
   2460                          numeric_owner=numeric_owner,
   2461                          filter_function=filter_function,
   2462                          extraction_root=path)
   2463 except (OSError, UnicodeEncodeError) as e:
   2464     self._handle_fatal_error(e)

File ~/micromamba/envs/geostationary-cookbook/lib/python3.13/tarfile.py:2547, in TarFile._extract_member(self, tarinfo, targetpath, set_attrs, numeric_owner, filter_function, extraction_root)
   2544     self._dbg(1, tarinfo.name)
   2546 if tarinfo.isreg():
-> 2547     self.makefile(tarinfo, targetpath)
   2548 elif tarinfo.isdir():
   2549     self.makedir(tarinfo, targetpath)

File ~/micromamba/envs/geostationary-cookbook/lib/python3.13/tarfile.py:2604, in TarFile.makefile(self, tarinfo, targetpath)
   2602     target.truncate()
   2603 else:
-> 2604     copyfileobj(source, target, tarinfo.size, ReadError, bufsize)

File ~/micromamba/envs/geostationary-cookbook/lib/python3.13/tarfile.py:250, in copyfileobj(src, dst, length, exception, bufsize)
    248 blocks, remainder = divmod(length, bufsize)
    249 for b in range(blocks):
--> 250     buf = src.read(bufsize)
    251     if len(buf) < bufsize:
    252         raise exception("unexpected end of data")

File ~/micromamba/envs/geostationary-cookbook/lib/python3.13/gzip.py:340, in GzipFile.read(self, size)
    338     import errno
    339     raise OSError(errno.EBADF, "read() on write-only GzipFile object")
--> 340 return self._buffer.read(size)

File ~/micromamba/envs/geostationary-cookbook/lib/python3.13/_compression.py:68, in DecompressReader.readinto(self, b)
     66 def readinto(self, b):
     67     with memoryview(b) as view, view.cast("B") as byte_view:
---> 68         data = self.read(len(byte_view))
     69         byte_view[:len(data)] = data
     70     return len(data)

File ~/micromamba/envs/geostationary-cookbook/lib/python3.13/gzip.py:566, in _GzipReader.read(self, size)
    564         break
    565     if buf == b"":
--> 566         raise EOFError("Compressed file ended before the "
    567                        "end-of-stream marker was reached")
    569 self._crc = zlib.crc32(uncompress, self._crc)
    570 self._stream_size += len(uncompress)

EOFError: Compressed file ended before the end-of-stream marker was reached