RuntimeError: NetCDF: Filter error: bad id or parameters or duplicate filter
self = <climada.hazard.test.test_tc_tracks.TestIO testMethod=test_hdf5_io>

    def test_hdf5_io(self):
        """Test writing and reading hdf5 TCTracks instances"""
        path = DATA_DIR.joinpath("tc_tracks.h5")
        tc_track = tc.TCTracks.from_ibtracs_netcdf(
            provider='usa', year_range=(1993, 1994), basin='EP', estimate_missing=True)
>       tc_track.write_hdf5(path)

climada/hazard/test/test_tc_tracks.py:327: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
climada/hazard/tc_tracks.py:1388: in write_hdf5
    ds_combined.to_netcdf(file_name, encoding=encoding)
../../../micromamba/envs/climada_env_3.11/lib/python3.11/site-packages/xarray/core/dataset.py:2329: in to_netcdf
    return to_netcdf(  # type: ignore  # mypy cannot resolve the overloads:(
../../../micromamba/envs/climada_env_3.11/lib/python3.11/site-packages/xarray/backends/api.py:1360: in to_netcdf
    dump_to_store(
../../../micromamba/envs/climada_env_3.11/lib/python3.11/site-packages/xarray/backends/api.py:1407: in dump_to_store
    store.store(variables, attrs, check_encoding, writer, unlimited_dims=unlimited_dims)
../../../micromamba/envs/climada_env_3.11/lib/python3.11/site-packages/xarray/backends/common.py:367: in store
    self.set_variables(
../../../micromamba/envs/climada_env_3.11/lib/python3.11/site-packages/xarray/backends/common.py:405: in set_variables
    target, source = self.prepare_variable(
../../../micromamba/envs/climada_env_3.11/lib/python3.11/site-packages/xarray/backends/netCDF4_.py:538: in prepare_variable
    nc4_var = self.ds.createVariable(**default_args)
src/netCDF4/_netCDF4.pyx:2962: in netCDF4._netCDF4.Dataset.createVariable
    ???
src/netCDF4/_netCDF4.pyx:4202: in netCDF4._netCDF4.Variable.__init__
    ???
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

>   ???
E   RuntimeError: NetCDF: Filter error: bad id or parameters or duplicate filter

src/netCDF4/_netCDF4.pyx:2029: RuntimeError

AssertionError: 12433394725.2159 != 12072126075.397
self = <climada.util.test.test_finance.TestWBData testMethod=test_wb_esp_1950_pass>

    def test_wb_esp_1950_pass(self):
        """Test world_bank function Sint Maarten."""
        ref_year = 1950
        wb_year, wb_val = world_bank('ESP', ref_year, 'NY.GDP.MKTP.CD')
    
        ref_year = 1960
        ref_val = 12072126075.397
        self.assertEqual(wb_year, ref_year)
>       self.assertEqual(wb_val, ref_val)
E       AssertionError: 12433394725.2159 != 12072126075.397

climada/util/test/test_finance.py:126: AssertionError

AttributeError: 'NoneType' object has no attribute 'vmax'
self = <climada.util.test.test_plot.TestPlots testMethod=test_geo_bin_from_array>

    def test_geo_bin_from_array(self):
        values = np.array([1, 2.0, 5, 1])
        coord = np.array([[-10, 17], [-30, 20], [5, 75], [-16, 20]])
        var_name = 'test'
        title = 'test'
        projection = ccrs.PlateCarree()
        cmap = 'viridis'
        ax = u_plot.geo_bin_from_array(values, coord, var_name, title,
                                           pop_name=True, extend='neither',
                                           shapes=True, axes=None, proj=projection,
                                           figsize=(9, 13), cmap=cmap)
        self.assertEqual(var_name, ax.get_title())
>       self.assertAlmostEqual(np.max(values), ax.collections[0].colorbar.vmax)
E       AttributeError: 'NoneType' object has no attribute 'vmax'

climada/util/test/test_plot.py:119: AttributeError

AttributeError: 'NoneType' object has no attribute 'vmax'
self = <climada.util.test.test_plot.TestPlots testMethod=test_geo_im_from_array>

    def test_geo_im_from_array(self):
        values = np.array([1, 2.0, 5, 1])
        coord = np.array([[-17, 178], [-10, 180], [-27, 175], [-16, 186]])
        var_name = 'test'
        title = 'test'
        projection = ccrs.PlateCarree()
        cmap = 'viridis'
        ax = u_plot.geo_im_from_array(values, coord, var_name, title,
                      proj=projection, smooth=True, axes=None, figsize=(9, 13), cmap=cmap)
        self.assertEqual(var_name, ax.get_title())
>       self.assertAlmostEqual(np.max(values), ax.collections[0].colorbar.vmax)
E       AttributeError: 'NoneType' object has no attribute 'vmax'

climada/util/test/test_plot.py:134: AttributeError

AttributeError: 'NoneType' object has no attribute 'vmax'
self = <climada.util.test.test_plot.TestPlots testMethod=test_geo_scatter_from_array>

    def test_geo_scatter_from_array(self):
        values = np.array([1, 2.0, 1, 1])
        coord = np.array([[-17, 178], [-10, 180], [-27, 175], [-16, 186]])
        var_name = 'test'
        title = 'test'
        projection = ccrs.PlateCarree()
        cmap = 'viridis'
        ax = u_plot.geo_scatter_from_array(values, coord, var_name, title,
                               pop_name=True, extend='neither',
                               shapes=True, axes=None, proj=projection,
                               figsize=(9, 13), cmap=cmap)
        self.assertEqual(var_name, ax.get_title())
>       self.assertAlmostEqual(np.max(values), ax.collections[0].colorbar.vmax)
E       AttributeError: 'NoneType' object has no attribute 'vmax'

climada/util/test/test_plot.py:102: AttributeError