diff --git a/nes/interpolation/horizontal_interpolation.py b/nes/interpolation/horizontal_interpolation.py index 906ba5a085d881730bd496501632e69c3a7c8357..74dadd918532cfc0b205b13da10361380816b95e 100644 --- a/nes/interpolation/horizontal_interpolation.py +++ b/nes/interpolation/horizontal_interpolation.py @@ -29,8 +29,10 @@ def interpolate_horizontal(self, dst_grid, weight_matrix_path=None, kind='Neares Kind of horizontal interpolation. Accepted values: ['NearestNeighbour']. n_neighbours : int Used if kind == NearestNeighbour. Number of nearest neighbours to interpolate. Default: 4. - info: bool + info : bool Indicates if you want to print extra info during the interpolation process. + to_providentia : bool + Indicates if we want the interpolated grid in Providentia format. """ # Obtain weight matrix @@ -80,7 +82,7 @@ def interpolate_horizontal(self, dst_grid, weight_matrix_path=None, kind='Neares raise IndexError("Data with vertical levels cannot be interpolated to points") final_dst.variables[var_name]['data'] = final_dst.variables[var_name]['data'].reshape( (src_shape[0], idx.shape[-1])) - if isinstance(dst_grid, nes.PointsNesGHOST): + if isinstance(dst_grid, nes.PointsNesGHOST) and not to_providentia: final_dst = final_dst.to_points() final_dst.global_attrs = self.global_attrs @@ -91,12 +93,10 @@ def interpolate_horizontal(self, dst_grid, weight_matrix_path=None, kind='Neares if isinstance(final_dst, nes.PointsNes): model_centre_lat, model_centre_lon = self.create_providentia_exp_centre_coordinates() grid_edge_lat, grid_edge_lon = self.create_providentia_exp_grid_edge_coordinates() - final_dst.to_providentia(model_centre_lon=model_centre_lon, - model_centre_lat=model_centre_lat, - grid_edge_lon=grid_edge_lon, - grid_edge_lat=grid_edge_lat, - ) - final_dst.load() + final_dst = final_dst.to_providentia(model_centre_lon=model_centre_lon, + model_centre_lat=model_centre_lat, + grid_edge_lon=grid_edge_lon, + grid_edge_lat=grid_edge_lat) else: msg = "The final projection must be points to interpolate an experiment and get it in Providentia format." warnings.warn(msg) diff --git a/nes/nc_projections/default_nes.py b/nes/nc_projections/default_nes.py index 81c47db19497d34fcbb0422a4f24697b0a8cef4b..8edaa24a9643cdd6286326c075c3600a64bcd75e 100644 --- a/nes/nc_projections/default_nes.py +++ b/nes/nc_projections/default_nes.py @@ -2150,7 +2150,7 @@ class Nes(object): self, new_levels, new_src_vertical=new_src_vertical, kind=kind, extrapolate=extrapolate, info=info) def interpolate_horizontal(self, dst_grid, weight_matrix_path=None, kind='NearestNeighbour', n_neighbours=4, - info=False): + info=False, to_providentia=False): """ Horizontal interpolation from the current grid to another one. @@ -2166,7 +2166,10 @@ class Nes(object): Used if kind == NearestNeighbour. Number of nearest neighbours to interpolate. Default: 4. info: bool Indicates if you want to print extra info during the interpolation process. + to_providentia : bool + Indicates if we want the interpolated grid in Providentia format. """ return horizontal_interpolation.interpolate_horizontal( - self, dst_grid, weight_matrix_path=weight_matrix_path, kind=kind, n_neighbours=n_neighbours, info=info) + self, dst_grid, weight_matrix_path=weight_matrix_path, kind=kind, n_neighbours=n_neighbours, info=info, + to_providentia=to_providentia) diff --git a/nes/nc_projections/points_nes.py b/nes/nc_projections/points_nes.py index 5b81e1c8c016eb692baada60f30a13a2c3c58b9e..a17e297c660ccf62b44f13fafaa6281c35c0eb0b 100644 --- a/nes/nc_projections/points_nes.py +++ b/nes/nc_projections/points_nes.py @@ -582,7 +582,6 @@ class PointsNes(Nes): points_nes_providentia = PointsNesProvidentia(comm=self.comm, info=self.info, - dataset=self.netcdf, balanced=self.balanced, parallel_method=self.parallel_method, avoid_first_hours=self.hours_start, @@ -598,5 +597,22 @@ class PointsNes(Nes): lat=self.lat['data'], lon=self.lon['data'] ) + + # Convert dimensions (time, lat, lon) to (time, station) for interpolated variables and reshape data + variables = {} + interpolated_variables = deepcopy(self.variables) + for var_name, var_info in interpolated_variables.items(): + print(var_name) + variables[var_name] = {} + if var_info['dimensions'] == ('time', 'lat', 'lon') and len(var_info['data'].shape) == 2: + variables[var_name]['data'] = var_info['data'].reshape((var_info['data'].shape[1], + var_info['data'].shape[0])) + variables[var_name]['dimensions'] = ('station', 'time') + else: + variables[var_name]['data'] = var_info['data'] + variables[var_name]['dimensions'] = var_info['dimensions'] + + # Set variables + points_nes_providentia.variables = variables - return points_nes_providentia \ No newline at end of file + return points_nes_providentia diff --git a/nes/nc_projections/points_nes_ghost.py b/nes/nc_projections/points_nes_ghost.py index 84ceb1fd7c1a69e9800ffa5b156facb2698288f2..a90158ae89a5e77027e7850bf4853ad3a4d2bc93 100644 --- a/nes/nc_projections/points_nes_ghost.py +++ b/nes/nc_projections/points_nes_ghost.py @@ -596,12 +596,13 @@ class PointsNesGHOST(PointsNes): lon=self.lon['data'], times=self.time ) - - points_nes.variables = deepcopy(self.variables) - GHOST_version = str(float(np.unique(points_nes.variables['GHOST_version']['data']))) - metadata_variables = self.get_standard_metadata(GHOST_version) - points_nes.free_vars(metadata_variables) + GHOST_version = str(float(np.unique(self.variables['GHOST_version']['data']))) + metadata_variables = self.get_standard_metadata(GHOST_version) + self.free_vars(metadata_variables) + self.free_vars('station') + points_nes.variables = deepcopy(self.variables) + return points_nes def get_standard_metadata(self, GHOST_version): diff --git a/nes/nc_projections/points_nes_providentia.py b/nes/nc_projections/points_nes_providentia.py index 6d44b7f295a2b126ddff3c2beb3d7c5c542f57b5..d45f8269a0be879d1272dcd82925e61523e60826 100644 --- a/nes/nc_projections/points_nes_providentia.py +++ b/nes/nc_projections/points_nes_providentia.py @@ -113,14 +113,6 @@ class PointsNesProvidentia(PointsNes): # Set strlen to be None (avoid default strlen inherited from points) self.strlen = None - # Force NES to have a netcdf, despite create_nes=True to read the variables information. - # If we pass the variables with points_nes_providentia.variables = deepcopy(self.variables) inside points_nes.py - # we get wrong the data in the wrong coordinates, i.e. for concentrations in points NES the coordinates are - # (time, station), but for Providentia points NES they are (station, time) as in GHOST - self.netcdf = dataset - self.variables = self._get_lazy_variables() - self.free_vars(['latitude', 'longitude', 'time']) - @staticmethod def new(comm=None, path=None, info=False, dataset=None, xarray=False, create_nes=False, balanced=False, parallel_method='X', avoid_first_hours=0, avoid_last_hours=0, first_level=0, last_level=None, @@ -321,7 +313,7 @@ class PointsNesProvidentia(PointsNes): nc_var = self.netcdf.variables[var_name] var_dims = nc_var.dimensions - # Read data in 1 or 2 dimensions + # Read data in 1, 2 or 3 dimensions if len(var_dims) < 2: data = nc_var[self.read_axis_limits['x_min']:self.read_axis_limits['x_max']] elif len(var_dims) == 2: diff --git a/tutorials/1.Introduction/1.1.Read_Write_Regular.ipynb b/tutorials/1.Introduction/1.1.Read_Write_Regular.ipynb index f079a46a368023d51c0d73a253c9f7c1580dd879..8042212eed3d151c56a10fbbd1a3e796818dbec6 100644 --- a/tutorials/1.Introduction/1.1.Read_Write_Regular.ipynb +++ b/tutorials/1.Introduction/1.1.Read_Write_Regular.ipynb @@ -1908,6 +1908,13 @@ "nessy_2" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Reopen with xarray" + ] + }, { "cell_type": "code", "execution_count": 15, diff --git a/tutorials/1.Introduction/1.2.Read_Write_Rotated.ipynb b/tutorials/1.Introduction/1.2.Read_Write_Rotated.ipynb index f26051126748f31623b87e7f9501f6d4c0da4962..87ab4d22710cc11a032e21aefab605ef8358d692 100644 --- a/tutorials/1.Introduction/1.2.Read_Write_Rotated.ipynb +++ b/tutorials/1.Introduction/1.2.Read_Write_Rotated.ipynb @@ -823,6 +823,13 @@ "nessy_2" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Reopen with xarray" + ] + }, { "cell_type": "code", "execution_count": 13, diff --git a/tutorials/1.Introduction/1.3.Read_Write_Points.ipynb b/tutorials/1.Introduction/1.3.Read_Write_Points.ipynb index 2457c7e4f8cf9664ee58ab19b2cb599a203a052f..582007ae500a62734a4f35e80ca893c7864f68ff 100644 --- a/tutorials/1.Introduction/1.3.Read_Write_Points.ipynb +++ b/tutorials/1.Introduction/1.3.Read_Write_Points.ipynb @@ -418,7 +418,7 @@ " station_end_date (station) |S75 b'nan' b'nan' ... b'nan' b'nan'\n", " station_rural_back (station) |S75 b'nan' b'nan' ... b'nan' b'nan'\n", " latitude (station) float32 46.81 47.48 ... 53.33 38.88\n", - " station_ozone_classification (station) |S75 b'rural' b'rural' ... b'nan'
array(['2015-07-01T00:00:00.000000000', '2015-07-01T01:00:00.000000000',\n", + " station_ozone_classification (station) |S75 b'rural' b'rural' ... b'nan'
array(['2015-07-01T00:00:00.000000000', '2015-07-01T01:00:00.000000000',\n", " '2015-07-01T02:00:00.000000000', '2015-07-01T03:00:00.000000000',\n", " '2015-07-01T04:00:00.000000000', '2015-07-01T05:00:00.000000000',\n", " '2015-07-01T06:00:00.000000000', '2015-07-01T07:00:00.000000000',\n", @@ -433,7 +433,7 @@ " '2015-07-02T00:00:00.000000000', '2015-07-02T01:00:00.000000000',\n", " '2015-07-02T02:00:00.000000000', '2015-07-02T03:00:00.000000000',\n", " '2015-07-02T04:00:00.000000000', '2015-07-02T05:00:00.000000000',\n", - " '2015-07-02T06:00:00.000000000'], dtype='datetime64[ns]')
array([b'1980-01-01', b'1980-01-01', b'1991-05-01', b'1991-05-01',\n", + " '2015-07-02T06:00:00.000000000'], dtype='datetime64[ns]')
array([b'1980-01-01', b'1980-01-01', b'1991-05-01', b'1991-05-01',\n", " b'1996-10-01', b'1978-10-01', b'1987-01-01', b'2010-07-01',\n", " b'1985-01-06', b'1994-05-01', b'1987-11-01', b'1992-01-01',\n", " b'1992-06-01', b'1995-11-01', b'1998-09-01', b'1998-01-01',\n", @@ -448,7 +448,7 @@ " b'nan', b'nan', b'nan', b'nan', b'nan', b'nan', b'nan', b'nan', b'nan',\n", " b'nan', b'nan', b'nan', b'nan', b'nan', b'nan', b'nan', b'nan', b'nan',\n", " b'nan', b'nan', b'nan', b'nan', b'nan', b'nan', b'nan', b'nan', b'nan',\n", - " b'nan', b'nan', b'nan', b'nan', b'nan'], dtype='|S75')
array([b'nan', b'nan', b'nan', b'nan', b'nan', b'nan', b'nan', b'nan', b'nan',\n", + " b'nan', b'nan', b'nan', b'nan', b'nan'], dtype='|S75')
array([b'nan', b'nan', b'nan', b'nan', b'nan', b'nan', b'nan', b'nan', b'nan',\n", " b'nan', b'nature', b'nature', b'nature', b'nature', b'nature',\n", " b'nature', b'nature', b'nature', b'nature', b'nature', b'farming',\n", " b'farming', b'nature', b'nan', b'nan', b'nan', b'nan', b'nan', b'nan',\n", @@ -458,7 +458,7 @@ " b'nan', b'nan', b'nan', b'nan', b'nan', b'nan', b'nan', b'nan', b'nan',\n", " b'nan', b'nan', b'nan', b'nan', b'nan', b'nan', b'nan', b'nan', b'nan',\n", " b'nan', b'nan', b'nan', b'nan', b'nan', b'nan', b'nan', b'nan', b'nan',\n", - " b'nan'], dtype='|S75')
array([b'nan', b'nan', b'nan', b'nan', b'nan', b'nan', b'nan', b'nan', b'nan',\n", + " b'nan'], dtype='|S75')
array([b'nan', b'nan', b'nan', b'nan', b'nan', b'nan', b'nan', b'nan', b'nan',\n", " b'nan', b'unknown', b'unknown', b'unknown', b'unknown', b'unknown',\n", " b'unknown', b'unknown', b'unknown', b'unknown', b'unknown', b'unknown',\n", " b'unknown', b'unknown', b'nan', b'nan', b'nan', b'nan', b'nan', b'nan',\n", @@ -468,7 +468,7 @@ " b'nan', b'nan', b'nan', b'nan', b'nan', b'nan', b'nan', b'nan', b'nan',\n", " b'nan', b'nan', b'nan', b'nan', b'nan', b'nan', b'nan', b'nan', b'nan',\n", " b'nan', b'nan', b'nan', b'nan', b'nan', b'nan', b'nan', b'nan', b'nan',\n", - " b'nan'], dtype='|S75')
array([b'CH', b'CH', b'CH', b'CH', b'CY', b'DK', b'DK', b'DK', b'EE', b'EE',\n", + " b'nan'], dtype='|S75')
array([b'CH', b'CH', b'CH', b'CH', b'CY', b'DK', b'DK', b'DK', b'EE', b'EE',\n", " b'ES', b'ES', b'ES', b'ES', b'ES', b'ES', b'ES', b'ES', b'ES', b'ES',\n", " b'ES', b'ES', b'ES', b'GB', b'GB', b'HU', b'IE', b'IS', b'IT', b'NO',\n", " b'NO', b'NO', b'NO', b'PL', b'PL', b'PL', b'PL', b'RS', b'SE', b'SE',\n", @@ -476,7 +476,7 @@ " b'NL', b'AT', b'AM', b'AT', b'NL', b'CZ', b'DE', b'LV', b'FI', b'IT',\n", " b'CZ', b'RU', b'NL', b'ME', b'GR', b'LT', b'DE', b'DE', b'IT', b'FI',\n", " b'DE', b'IE', b'IE', b'DE', b'DE', b'CZ', b'EG', b'FI', b'CH', b'NL',\n", - " b'AT', b'IE', b'NL', b'IT'], dtype='|S75')
array([b'nan', b'nan', b'nan', b'nan', b'nan', b'nan', b'nan', b'nan', b'nan',\n", + " b'AT', b'IE', b'NL', b'IT'], dtype='|S75')
array([b'nan', b'nan', b'nan', b'nan', b'nan', b'nan', b'nan', b'nan', b'nan',\n", " b'nan', b'castilla-la mancha', b'galicia', b'islas baleares',\n", " b'andalucia', b'principado de asturias', b'castilla-la mancha',\n", " b'cataluna', b'extremadura', b'comunidad valenciana',\n", @@ -487,7 +487,7 @@ " b'nan', b'nan', b'nan', b'nan', b'nan', b'nan', b'nan', b'nan', b'nan',\n", " b'nan', b'nan', b'nan', b'nan', b'nan', b'nan', b'nan', b'nan', b'nan',\n", " b'nan', b'nan', b'nan', b'nan', b'nan', b'nan', b'nan', b'nan', b'nan',\n", - " b'nan', b'nan', b'nan', b'nan', b'nan', b'nan'], dtype='|S75')
array([b'payerne', b'tnikon', b'chaumont', b'rigi-seebodenalp',\n", + " b'nan', b'nan', b'nan', b'nan', b'nan', b'nan'], dtype='|S75')
array([b'payerne', b'tnikon', b'chaumont', b'rigi-seebodenalp',\n", " b'emep - ayia marina', b'tange', b'anholt', b'risoe', b'lahemaa',\n", " b'vilsandi', b'san pablo de los montes', b'noia', b'mahn', b'vznar',\n", " b'niembro', b'campisbalos', b'cabo de creus', b'barcarrota', b'zarra',\n", @@ -505,7 +505,7 @@ " b'montelibretti', b'virolahti iii', b'melpitz', b'oak park',\n", " b'malin head', b'westerland', b'schmcke', b'churanov', b'marsa matruh',\n", " b'pallas (matorova)', b'jungfraujoch', b'de zilk', b'vorhegg',\n", - " b'carnsore point', b'kollumerwaard', b'lamezia terme'], dtype='|S75')
array([b'rural', b'rural', b'rural', b'rural', b'rural', b'rural', b'rural',\n", + " b'carnsore point', b'kollumerwaard', b'lamezia terme'], dtype='|S75')
array([b'rural', b'rural', b'rural', b'rural', b'rural', b'rural', b'rural',\n", " b'rural', b'rural', b'rural', b'rural', b'rural', b'rural', b'rural',\n", " b'rural', b'rural', b'rural', b'rural', b'rural', b'rural', b'rural',\n", " b'rural', b'rural', b'rural', b'rural', b'rural', b'rural', b'rural',\n", @@ -515,7 +515,7 @@ " b'nan', b'nan', b'nan', b'nan', b'nan', b'nan', b'nan', b'nan', b'nan',\n", " b'nan', b'nan', b'nan', b'nan', b'nan', b'nan', b'nan', b'nan', b'nan',\n", " b'nan', b'nan', b'nan', b'nan', b'nan', b'nan', b'nan', b'nan', b'nan',\n", - " b'nan', b'nan', b'nan', b'nan', b'nan', b'nan', b'nan'], dtype='|S75')
array([b'nan', b'nan', b'nan', b'nan', b'ayia marina', b'nan', b'nan', b'nan',\n", + " b'nan', b'nan', b'nan', b'nan', b'nan', b'nan', b'nan'], dtype='|S75')
array([b'nan', b'nan', b'nan', b'nan', b'ayia marina', b'nan', b'nan', b'nan',\n", " b'nan', b'nan', b'san pablo de los montes', b'noia', b'mahn', b'vznar',\n", " b'llanes', b'campisbalos', b'cadaqus', b'barcarrota', b'zarra',\n", " b'peausende', b'torms (els)', b'saviao (o)', b'almonte', b'nan', b'nan',\n", @@ -525,13 +525,13 @@ " b'nan', b'nan', b'nan', b'nan', b'nan', b'nan', b'nan', b'nan', b'nan',\n", " b'nan', b'nan', b'nan', b'nan', b'nan', b'nan', b'nan', b'nan', b'nan',\n", " b'nan', b'nan', b'nan', b'nan', b'nan', b'nan', b'nan', b'nan', b'nan',\n", - " b'nan', b'nan', b'nan', b'nan', b'nan', b'nan', b'nan'], dtype='|S75')
array([[17.9 , 15.4 , 16.2 , ..., nan, 14.83, nan],\n", + " b'nan', b'nan', b'nan', b'nan', b'nan', b'nan', b'nan'], dtype='|S75')
array([[17.9 , 15.4 , 16.2 , ..., nan, 14.83, nan],\n", " [22.9 , 16.8 , 20.5 , ..., nan, 24.8 , nan],\n", " [24.1 , 22.8 , 20.2 , ..., nan, 13.92, nan],\n", " ...,\n", " [ 6.3 , 7.2 , 4.5 , ..., nan, 8.32, 9.3 ],\n", " [ 7.6 , 8.9 , 8.2 , ..., nan, 13.02, 9.3 ],\n", - " [11. , 9.8 , 8.8 , ..., nan, 14.14, 12.7 ]], dtype=float32)
array([b'yes', b'yes', b'yes', b'yes', b'yes', b'yes', b'yes', b'yes', b'yes',\n", + " [11. , 9.8 , 8.8 , ..., nan, 14.14, 12.7 ]], dtype=float32)
array([b'yes', b'yes', b'yes', b'yes', b'yes', b'yes', b'yes', b'yes', b'yes',\n", " b'yes', b'yes', b'yes', b'yes', b'yes', b'yes', b'yes', b'yes', b'yes',\n", " b'yes', b'yes', b'yes', b'yes', b'yes', b'yes', b'yes', b'yes', b'yes',\n", " b'yes', b'yes', b'yes', b'yes', b'yes', b'yes', b'yes', b'yes', b'yes',\n", @@ -540,7 +540,7 @@ " b'yes', b'yes', b'yes', b'yes', b'yes', b'no', b'yes', b'yes', b'yes',\n", " b'yes', b'yes', b'yes', b'yes', b'yes', b'yes', b'yes', b'yes', b'yes',\n", " b'yes', b'yes', b'yes', b'yes', b'no', b'yes', b'yes', b'yes', b'yes',\n", - " b'yes', b'yes', b'no'], dtype='|S75')
array([b'background', b'background', b'background', b'background',\n", + " b'yes', b'yes', b'no'], dtype='|S75')
array([b'background', b'background', b'background', b'background',\n", " b'background', b'background', b'background', b'background',\n", " b'background', b'background', b'background', b'background',\n", " b'background', b'background', b'background', b'background',\n", @@ -555,7 +555,7 @@ " b'nan', b'nan', b'nan', b'nan', b'nan', b'nan', b'nan', b'nan', b'nan',\n", " b'nan', b'nan', b'nan', b'nan', b'nan', b'nan', b'nan', b'nan', b'nan',\n", " b'nan', b'nan', b'nan', b'nan', b'nan', b'nan', b'nan', b'nan', b'nan',\n", - " b'nan', b'nan', b'nan', b'nan', b'nan'], dtype='|S75')
array([b'switzerland', b'switzerland', b'switzerland', b'switzerland',\n", + " b'nan', b'nan', b'nan', b'nan', b'nan'], dtype='|S75')
array([b'switzerland', b'switzerland', b'switzerland', b'switzerland',\n", " b'cyprus', b'denmark', b'denmark', b'denmark', b'estonia', b'estonia',\n", " b'spain', b'spain', b'spain', b'spain', b'spain', b'spain', b'spain',\n", " b'spain', b'spain', b'spain', b'spain', b'spain', b'spain',\n", @@ -571,7 +571,7 @@ " b'Lithuania', b'Germany', b'Germany', b'Italy', b'Finland', b'Germany',\n", " b'Ireland', b'Ireland', b'Germany', b'Germany', b'Czech Republic',\n", " b'Egypt', b'Finland', b'Switzerland', b'Netherlands', b'Austria',\n", - " b'Ireland', b'Netherlands', b'Italy'], dtype='|S75')
array([4.890e+02, 5.380e+02, 1.136e+03, 1.031e+03, 5.320e+02, 8.000e+00,\n", + " b'Ireland', b'Netherlands', b'Italy'], dtype='|S75')
array([4.890e+02, 5.380e+02, 1.136e+03, 1.031e+03, 5.320e+02, 8.000e+00,\n", " 1.000e+01, 3.000e+00, 3.200e+01, 6.000e+00, 9.170e+02, 6.850e+02,\n", " 7.800e+01, 1.230e+03, 1.340e+02, 1.360e+03, 2.300e+01, 3.930e+02,\n", " 8.850e+02, 9.850e+02, 4.700e+02, 5.060e+02, 5.000e+00, 1.260e+02,\n", @@ -585,7 +585,7 @@ " 1.205e+03, 6.200e+01, 4.800e+01, 4.000e+00, 8.600e+01, 5.900e+01,\n", " 2.000e+01, 1.200e+01, 9.370e+02, 1.118e+03, 3.500e+01, 3.400e+02,\n", " 3.578e+03, 4.000e+00, 1.020e+03, 9.000e+00, 1.000e+00, 6.000e+00],\n", - " dtype=float32)
array([b'CH0002R', b'CH0003R', b'CH0004R', b'CH0005R', b'CY0002R', b'DK0003R',\n", + " dtype=float32)
array([b'CH0002R', b'CH0003R', b'CH0004R', b'CH0005R', b'CY0002R', b'DK0003R',\n", " b'DK0008R', b'DK0012R', b'EE0009R', b'EE0011R', b'ES0001R', b'ES0005R',\n", " b'ES0006R', b'ES0007R', b'ES0008R', b'ES0009R', b'ES0010R', b'ES0011R',\n", " b'ES0012R', b'ES0013R', b'ES0014R', b'ES0016R', b'ES0017R', b'GB0036R',\n", @@ -599,7 +599,7 @@ " b'DE0003R', b'DE0007R', b'IT0001R', b'FI0018R', b'DE0044R', b'IE0005R',\n", " b'IE0006R', b'DE0001R', b'DE0008R', b'CZ0005R', b'EG0003U', b'FI0036R',\n", " b'CH0001G', b'NL0091R', b'AT0005R', b'IE0008R', b'NL0009R', b'IT0016R'],\n", - " dtype='|S75')
array([ 6.944469, 8.904696, 6.979203, 8.463339, 33.05806 , 9.603059,\n", + " dtype='|S75')
array([ 6.944469, 8.904696, 6.979203, 8.463339, 33.05806 , 9.603059,\n", " 11.533614, 12.088669, 25.930569, 21.845013, -4.350556, -8.923611,\n", " 4.316389, -3.534167, -4.85 , -3.1425 , 3.315833, -6.923611,\n", " -1.101111, -5.8975 , 0.734722, -7.704722, -6.555278, -1.325286,\n", @@ -613,7 +613,7 @@ " 7.908611, 13.033333, 12.633333, 27.66754 , 12.93386 , -6.924722,\n", " -7.342778, 8.309722, 10.766667, 13.6 , 27.217775, 24.237223,\n", " 7.985 , 4.5 , 12.972222, -6.364524, 6.277222, 16.2322 ],\n", - " dtype=float32)
array([b'nan', b'nan', b'nan', b'nan', b'nan', b'nan', b'nan', b'nan', b'nan',\n", + " dtype=float32)
array([b'nan', b'nan', b'nan', b'nan', b'nan', b'nan', b'nan', b'nan', b'nan',\n", " b'nan', b'nan', b'nan', b'nan', b'nan', b'nan', b'nan', b'nan', b'nan',\n", " b'nan', b'nan', b'nan', b'nan', b'nan', b'nan', b'nan', b'nan', b'nan',\n", " b'nan', b'nan', b'nan', b'nan', b'nan', b'nan', b'nan', b'nan', b'nan',\n", @@ -622,7 +622,7 @@ " b'nan', b'nan', b'nan', b'nan', b'nan', b'nan', b'nan', b'nan', b'nan',\n", " b'nan', b'nan', b'nan', b'nan', b'nan', b'nan', b'nan', b'nan', b'nan',\n", " b'nan', b'nan', b'nan', b'nan', b'nan', b'nan', b'nan', b'nan', b'nan',\n", - " b'nan', b'nan', b'nan'], dtype='|S75')
array([b'nan', b'nan', b'nan', b'nan', b'regional', b'nan', b'nan',\n", + " b'nan', b'nan', b'nan'], dtype='|S75')
array([b'nan', b'nan', b'nan', b'nan', b'regional', b'nan', b'nan',\n", " b'regional', b'nan', b'nan', b'remote', b'remote', b'remote', b'remote',\n", " b'remote', b'remote', b'remote', b'remote', b'remote', b'remote',\n", " b'remote', b'remote', b'remote', b'nan', b'nan', b'nan', b'regional',\n", @@ -632,7 +632,7 @@ " b'nan', b'nan', b'nan', b'nan', b'nan', b'nan', b'nan', b'nan', b'nan',\n", " b'nan', b'nan', b'nan', b'nan', b'nan', b'nan', b'nan', b'nan', b'nan',\n", " b'nan', b'nan', b'nan', b'nan', b'nan', b'nan', b'nan', b'nan', b'nan',\n", - " b'nan', b'nan', b'nan', b'nan', b'nan'], dtype='|S75')
array([46.813057, 47.479767, 47.04947 , 47.06741 , 35.039165, 56.354443,\n", + " b'nan', b'nan', b'nan', b'nan', b'nan'], dtype='|S75')
array([46.813057, 47.479767, 47.04947 , 47.06741 , 35.039165, 56.354443,\n", " 56.711666, 55.694107, 59.494446, 58.37611 , 39.546944, 42.720554,\n", " 39.87528 , 37.23722 , 43.439167, 41.274166, 42.319168, 38.47278 ,\n", " 39.08278 , 41.238888, 41.39389 , 42.634724, 37.051945, 51.57108 ,\n", @@ -646,7 +646,7 @@ " 47.914722, 53.166668, 42.1 , 60.53002 , 51.53014 , 52.86861 ,\n", " 55.375 , 54.925556, 50.65 , 49.066666, 31.34274 , 68. ,\n", " 46.5475 , 52.3 , 46.677776, 52.178074, 53.33389 , 38.8763 ],\n", - " dtype=float32)
array([b'rural', b'rural', b'rural background', b'rural background',\n", + " dtype=float32)
array([b'rural', b'rural', b'rural background', b'rural background',\n", " b'rural background', b'rural', b'nan', b'nan', b'rural', b'rural',\n", " b'rural background', b'rural background', b'rural background',\n", " b'rural background', b'rural background', b'rural background',\n", @@ -662,7 +662,7 @@ " b'nan', b'nan', b'nan', b'nan', b'nan', b'nan', b'nan', b'nan', b'nan',\n", " b'nan', b'nan', b'nan', b'nan', b'nan', b'nan', b'nan', b'nan', b'nan',\n", " b'nan', b'nan', b'nan', b'nan', b'nan', b'nan', b'nan', b'nan', b'nan'],\n", - " dtype='|S75')
array(['2015-07-01T00:00:00.000000000', '2015-07-01T01:00:00.000000000',\n", + " Conventions: CF-1.7
array(['2015-07-01T00:00:00.000000000', '2015-07-01T01:00:00.000000000',\n", " '2015-07-01T02:00:00.000000000', '2015-07-01T03:00:00.000000000',\n", " '2015-07-01T04:00:00.000000000', '2015-07-01T05:00:00.000000000',\n", " '2015-07-01T06:00:00.000000000', '2015-07-01T07:00:00.000000000',\n", @@ -1823,12 +1823,12 @@ " '2015-07-02T00:00:00.000000000', '2015-07-02T01:00:00.000000000',\n", " '2015-07-02T02:00:00.000000000', '2015-07-02T03:00:00.000000000',\n", " '2015-07-02T04:00:00.000000000', '2015-07-02T05:00:00.000000000',\n", - " '2015-07-02T06:00:00.000000000'], dtype='datetime64[ns]')
array([ 0., 1., 2., 3., 4., 5., 6., 7., 8., 9., 10., 11., 12., 13.,\n", + " '2015-07-02T06:00:00.000000000'], dtype='datetime64[ns]')
array([ 0., 1., 2., 3., 4., 5., 6., 7., 8., 9., 10., 11., 12., 13.,\n", " 14., 15., 16., 17., 18., 19., 20., 21., 22., 23., 24., 25., 26., 27.,\n", " 28., 29., 30., 31., 32., 33., 34., 35., 36., 37., 38., 39., 40., 41.,\n", " 42., 43., 44., 45., 46., 47., 48., 49., 50., 51., 52., 53., 54., 55.,\n", " 56., 57., 58., 59., 60., 61., 62., 63., 64., 65., 66., 67., 68., 69.,\n", - " 70., 71., 72., 73., 74., 75., 76., 77., 78., 79., 80., 81., 82., 83.])
array([46.813057, 47.479767, 47.049469, 47.06741 , 35.039165, 56.354443,\n", + " 70., 71., 72., 73., 74., 75., 76., 77., 78., 79., 80., 81., 82., 83.])
array([46.813057, 47.479767, 47.049469, 47.06741 , 35.039165, 56.354443,\n", " 56.711666, 55.694107, 59.494446, 58.37611 , 39.546944, 42.720554,\n", " 39.875278, 37.237221, 43.439167, 41.274166, 42.319168, 38.472778,\n", " 39.082779, 41.238888, 41.39389 , 42.634724, 37.051945, 51.571079,\n", @@ -1841,7 +1841,7 @@ " 49.733334, 54.900002, 52.116669, 43.150002, 35.316666, 55.37611 ,\n", " 47.914722, 53.166668, 42.099998, 60.530022, 51.53014 , 52.86861 ,\n", " 55.375 , 54.925556, 50.650002, 49.066666, 31.342739, 68. ,\n", - " 46.547501, 52.299999, 46.677776, 52.178074, 53.333889, 38.876301])
array([ 6.944469, 8.904696, 6.979203, 8.463339, 33.05806 , 9.603059,\n", + " 46.547501, 52.299999, 46.677776, 52.178074, 53.333889, 38.876301])
array([ 6.944469, 8.904696, 6.979203, 8.463339, 33.05806 , 9.603059,\n", " 11.533614, 12.088669, 25.930569, 21.845013, -4.350556, -8.923611,\n", " 4.316389, -3.534167, -4.85 , -3.1425 , 3.315833, -6.923611,\n", " -1.101111, -5.8975 , 0.734722, -7.704722, -6.555278, -1.325286,\n", @@ -1854,79 +1854,79 @@ " 16.049999, 37.799999, 5.2 , 19.133333, 25.666668, 21.030556,\n", " 7.908611, 13.033333, 12.633333, 27.66754 , 12.93386 , -6.924722,\n", " -7.342778, 8.309722, 10.766667, 13.6 , 27.217775, 24.237223,\n", - " 7.985 , 4.5 , 12.972222, -6.364524, 6.277222, 16.232201])
array([['1', '9', '8', ..., '', '', ''],\n", + " 7.985 , 4.5 , 12.972222, -6.364524, 6.277222, 16.232201])
array([['1', '9', '8', ..., '', '', ''],\n", " ['1', '9', '8', ..., '', '', ''],\n", " ['1', '9', '9', ..., '', '', ''],\n", " ...,\n", " ['n', 'a', 'n', ..., '', '', ''],\n", " ['n', 'a', 'n', ..., '', '', ''],\n", - " ['n', 'a', 'n', ..., '', '', '']], dtype=object)
array([['n', 'a', 'n', ..., '', '', ''],\n", + " ['n', 'a', 'n', ..., '', '', '']], dtype=object)
array([['n', 'a', 'n', ..., '', '', ''],\n", " ['n', 'a', 'n', ..., '', '', ''],\n", " ['n', 'a', 'n', ..., '', '', ''],\n", " ...,\n", " ['n', 'a', 'n', ..., '', '', ''],\n", " ['n', 'a', 'n', ..., '', '', ''],\n", - " ['n', 'a', 'n', ..., '', '', '']], dtype=object)
array([['n', 'a', 'n', ..., '', '', ''],\n", + " ['n', 'a', 'n', ..., '', '', '']], dtype=object)
array([['n', 'a', 'n', ..., '', '', ''],\n", " ['n', 'a', 'n', ..., '', '', ''],\n", " ['n', 'a', 'n', ..., '', '', ''],\n", " ...,\n", " ['n', 'a', 'n', ..., '', '', ''],\n", " ['n', 'a', 'n', ..., '', '', ''],\n", - " ['n', 'a', 'n', ..., '', '', '']], dtype=object)
array([['C', 'H', '', ..., '', '', ''],\n", + " ['n', 'a', 'n', ..., '', '', '']], dtype=object)
array([['C', 'H', '', ..., '', '', ''],\n", " ['C', 'H', '', ..., '', '', ''],\n", " ['C', 'H', '', ..., '', '', ''],\n", " ...,\n", " ['I', 'E', '', ..., '', '', ''],\n", " ['N', 'L', '', ..., '', '', ''],\n", - " ['I', 'T', '', ..., '', '', '']], dtype=object)
array([['n', 'a', 'n', ..., '', '', ''],\n", + " ['I', 'T', '', ..., '', '', '']], dtype=object)
array([['n', 'a', 'n', ..., '', '', ''],\n", " ['n', 'a', 'n', ..., '', '', ''],\n", " ['n', 'a', 'n', ..., '', '', ''],\n", " ...,\n", " ['n', 'a', 'n', ..., '', '', ''],\n", " ['n', 'a', 'n', ..., '', '', ''],\n", - " ['n', 'a', 'n', ..., '', '', '']], dtype=object)
array([['p', 'a', 'y', ..., '', '', ''],\n", + " ['n', 'a', 'n', ..., '', '', '']], dtype=object)
array([['p', 'a', 'y', ..., '', '', ''],\n", " ['t', 'n', 'i', ..., '', '', ''],\n", " ['c', 'h', 'a', ..., '', '', ''],\n", " ...,\n", " ['c', 'a', 'r', ..., '', '', ''],\n", " ['k', 'o', 'l', ..., '', '', ''],\n", - " ['l', 'a', 'm', ..., '', '', '']], dtype=object)
array([['r', 'u', 'r', ..., '', '', ''],\n", + " ['l', 'a', 'm', ..., '', '', '']], dtype=object)
array([['r', 'u', 'r', ..., '', '', ''],\n", " ['r', 'u', 'r', ..., '', '', ''],\n", " ['r', 'u', 'r', ..., '', '', ''],\n", " ...,\n", " ['n', 'a', 'n', ..., '', '', ''],\n", " ['n', 'a', 'n', ..., '', '', ''],\n", - " ['n', 'a', 'n', ..., '', '', '']], dtype=object)
array([['n', 'a', 'n', ..., '', '', ''],\n", + " ['n', 'a', 'n', ..., '', '', '']], dtype=object)
array([['n', 'a', 'n', ..., '', '', ''],\n", " ['n', 'a', 'n', ..., '', '', ''],\n", " ['n', 'a', 'n', ..., '', '', ''],\n", " ...,\n", " ['n', 'a', 'n', ..., '', '', ''],\n", " ['n', 'a', 'n', ..., '', '', ''],\n", - " ['n', 'a', 'n', ..., '', '', '']], dtype=object)
array([[17.9 , 15.4 , 16.2 , ..., nan, 14.83, nan],\n", + " ['n', 'a', 'n', ..., '', '', '']], dtype=object)
array([[17.9 , 15.4 , 16.2 , ..., nan, 14.83, nan],\n", " [22.9 , 16.8 , 20.5 , ..., nan, 24.8 , nan],\n", " [24.1 , 22.8 , 20.2 , ..., nan, 13.92, nan],\n", " ...,\n", " [ 6.3 , 7.2 , 4.5 , ..., nan, 8.32, 9.3 ],\n", " [ 7.6 , 8.9 , 8.2 , ..., nan, 13.02, 9.3 ],\n", - " [11. , 9.8 , 8.8 , ..., nan, 14.14, 12.7 ]], dtype=float32)
array([['y', 'e', 's', ..., '', '', ''],\n", + " [11. , 9.8 , 8.8 , ..., nan, 14.14, 12.7 ]], dtype=float32)
array([['y', 'e', 's', ..., '', '', ''],\n", " ['y', 'e', 's', ..., '', '', ''],\n", " ['y', 'e', 's', ..., '', '', ''],\n", " ...,\n", " ['y', 'e', 's', ..., '', '', ''],\n", " ['y', 'e', 's', ..., '', '', ''],\n", - " ['n', 'o', '', ..., '', '', '']], dtype=object)
array([['b', 'a', 'c', ..., '', '', ''],\n", + " ['n', 'o', '', ..., '', '', '']], dtype=object)
array([['b', 'a', 'c', ..., '', '', ''],\n", " ['b', 'a', 'c', ..., '', '', ''],\n", " ['b', 'a', 'c', ..., '', '', ''],\n", " ...,\n", " ['n', 'a', 'n', ..., '', '', ''],\n", " ['n', 'a', 'n', ..., '', '', ''],\n", - " ['n', 'a', 'n', ..., '', '', '']], dtype=object)
array([['s', 'w', 'i', ..., '', '', ''],\n", + " ['n', 'a', 'n', ..., '', '', '']], dtype=object)
array([['s', 'w', 'i', ..., '', '', ''],\n", " ['s', 'w', 'i', ..., '', '', ''],\n", " ['s', 'w', 'i', ..., '', '', ''],\n", " ...,\n", " ['I', 'r', 'e', ..., '', '', ''],\n", " ['N', 'e', 't', ..., '', '', ''],\n", - " ['I', 't', 'a', ..., '', '', '']], dtype=object)
array([4.890e+02, 5.380e+02, 1.136e+03, 1.031e+03, 5.320e+02, 8.000e+00,\n", + " ['I', 't', 'a', ..., '', '', '']], dtype=object)
array([4.890e+02, 5.380e+02, 1.136e+03, 1.031e+03, 5.320e+02, 8.000e+00,\n", " 1.000e+01, 3.000e+00, 3.200e+01, 6.000e+00, 9.170e+02, 6.850e+02,\n", " 7.800e+01, 1.230e+03, 1.340e+02, 1.360e+03, 2.300e+01, 3.930e+02,\n", " 8.850e+02, 9.850e+02, 4.700e+02, 5.060e+02, 5.000e+00, 1.260e+02,\n", @@ -1940,31 +1940,31 @@ " 1.205e+03, 6.200e+01, 4.800e+01, 4.000e+00, 8.600e+01, 5.900e+01,\n", " 2.000e+01, 1.200e+01, 9.370e+02, 1.118e+03, 3.500e+01, 3.400e+02,\n", " 3.578e+03, 4.000e+00, 1.020e+03, 9.000e+00, 1.000e+00, 6.000e+00],\n", - " dtype=float32)
array([['C', 'H', '0', ..., '', '', ''],\n", + " dtype=float32)
array([['C', 'H', '0', ..., '', '', ''],\n", " ['C', 'H', '0', ..., '', '', ''],\n", " ['C', 'H', '0', ..., '', '', ''],\n", " ...,\n", " ['I', 'E', '0', ..., '', '', ''],\n", " ['N', 'L', '0', ..., '', '', ''],\n", - " ['I', 'T', '0', ..., '', '', '']], dtype=object)
array([['n', 'a', 'n', ..., '', '', ''],\n", + " ['I', 'T', '0', ..., '', '', '']], dtype=object)
array([['n', 'a', 'n', ..., '', '', ''],\n", " ['n', 'a', 'n', ..., '', '', ''],\n", " ['n', 'a', 'n', ..., '', '', ''],\n", " ...,\n", " ['n', 'a', 'n', ..., '', '', ''],\n", " ['n', 'a', 'n', ..., '', '', ''],\n", - " ['n', 'a', 'n', ..., '', '', '']], dtype=object)
array([['n', 'a', 'n', ..., '', '', ''],\n", + " ['n', 'a', 'n', ..., '', '', '']], dtype=object)
array([['n', 'a', 'n', ..., '', '', ''],\n", " ['n', 'a', 'n', ..., '', '', ''],\n", " ['n', 'a', 'n', ..., '', '', ''],\n", " ...,\n", " ['n', 'a', 'n', ..., '', '', ''],\n", " ['n', 'a', 'n', ..., '', '', ''],\n", - " ['n', 'a', 'n', ..., '', '', '']], dtype=object)
array([['r', 'u', 'r', ..., '', '', ''],\n", + " ['n', 'a', 'n', ..., '', '', '']], dtype=object)
array([['r', 'u', 'r', ..., '', '', ''],\n", " ['r', 'u', 'r', ..., '', '', ''],\n", " ['r', 'u', 'r', ..., '', '', ''],\n", " ...,\n", " ['n', 'a', 'n', ..., '', '', ''],\n", " ['n', 'a', 'n', ..., '', '', ''],\n", - " ['n', 'a', 'n', ..., '', '', '']], dtype=object)
array(['2019-11-01T00:00:00.000000000', '2019-11-02T00:00:00.000000000',\n", + " version: 1.4
array(['2019-11-01T00:00:00.000000000', '2019-11-02T00:00:00.000000000',\n", " '2019-11-03T00:00:00.000000000', '2019-11-04T00:00:00.000000000',\n", " '2019-11-05T00:00:00.000000000', '2019-11-06T00:00:00.000000000',\n", " '2019-11-07T00:00:00.000000000', '2019-11-08T00:00:00.000000000',\n", @@ -2426,26 +2426,26 @@ " '2019-11-25T00:00:00.000000000', '2019-11-26T00:00:00.000000000',\n", " '2019-11-27T00:00:00.000000000', '2019-11-28T00:00:00.000000000',\n", " '2019-11-29T00:00:00.000000000', '2019-11-30T00:00:00.000000000'],\n", - " dtype='datetime64[ns]')
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array([6.180300e-15, 2.581682e-15, 8.383800e-13], dtype=float32)
array(['gentle - fine texture - low convexity',\n", + " dtype='datetime64[ns]')
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array([1.235562e-15, 5.161284e-16, 1.677018e-13], dtype=float32)
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array([6.180300e-15, 2.581682e-15, 8.383800e-13], dtype=float32)
array(['gentle - fine texture - low convexity',\n", " 'medium gentle - fine texture - low convexity',\n", - " 'steep - fine texture - low convexity'], dtype=object)
array(['water', 'water', 'very low plateaus'], dtype=object)
array(['water', 'water', 'steep - fine texture - high convexity'], dtype=object)
array(['water', 'water', 'steep - fine texture - low convexity'], dtype=object)
array(['water', 'water', 'hills'], dtype=object)
array(['water', 'water', 'hills'], dtype=object)
array([ 4., -1., 280.], dtype=float32)
array([ 10., 66., 109.], dtype=float32)
array(['1.4', '1.4', '1.4'], dtype=object)
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array([0.987336, 2.102892, 0.154906], dtype=float32)
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array([59., 80., 29.], dtype=float32)
array([34752., 9012., 19701.], dtype=float32)
array([1658., 4708., 1593.], dtype=float32)
array(['water', 'water', 'very low density rural'], dtype=object)
array(['water', 'water', 'very low density rural'], dtype=object)
array([166.15518, 0. , 0. ], dtype=float32)
array(['low density rural', 'low density rural', 'very low density rural'],\n", - " dtype=object)
array([125.20069, 79.76857, 251.70555], dtype=float32)
array([ 76.15041, 151.78712, 35.03873], dtype=float32)
array([1020.8104 , 295.55426, 3971.275 ], dtype=float32)
array([130.01776 , 295.55423 , 35.038742], dtype=float32)
array([130.01775, 295.5542 , 35.03873], dtype=float32)
array([ 0., -2., -40.], dtype=float32)
array([nan, nan, nan], dtype=float32)
array(['water', 'water', 'cold - no dry season - hot summer'], dtype=object)
array(['water', 'water', 'cold - no dry season - hot summer'], dtype=object)
array(['water', 'water', 'cold - no dry season - hot summer'], dtype=object)
array(['water bodies', 'croplands', 'woody savannas'], dtype=object)
array(['water bodies', 'water bodies', 'savannas'], dtype=object)
array(['water bodies', 'water bodies', 'woody savannas'], dtype=object)
array(['water bodies', 'water bodies', 'woody savannas'], dtype=object)
array(['water bodies', 'croplands', 'woody savannas'], dtype=object)
array(['water bodies', 'water bodies', 'deciduous broadleaf forests'],\n", - " dtype=object)
array(['water bodies', 'water bodies', 'savannas'], dtype=object)
array(['water bodies', 'water bodies', 'woody savannas'], dtype=object)
array(['water bodies', 'water bodies', 'woody savannas'], dtype=object)
array([12., 8., 17.], dtype=float32)
array([ 9., 12., 10.], dtype=float32)
array([62., 58., 63.], dtype=float32)
array([20., 22., 23.], dtype=float32)
array([11., 14., 8.], dtype=float32)
array([8.610014e+15, 4.759712e+15, 6.198418e+15], dtype=float32)
array([8.410300e+15, 4.600654e+15, 6.476759e+15], dtype=float32)
array([5.951614e+15, 2.243110e+15, 3.619630e+15], dtype=float32)
array([5.723139e+15, 2.023781e+15, 3.770765e+15], dtype=float32)
array(['residential woodlands', 'populated woodlands', 'residential woodlands'],\n", - " dtype=object)
array(['water', 'water', 'residential woodlands'], dtype=object)
array(['residential woodlands', 'populated woodlands', 'residential woodlands'],\n", - " dtype=object)
array(['Asia', 'Asia', 'Asia'], dtype=object)
array(['water', 'palearctic', 'palearctic'], dtype=object)
array(['water', 'temperate broadleaf and mixed forests',\n", - " 'temperate broadleaf and mixed forests'], dtype=object)
array(['water', 'southern korea evergreen forests',\n", - " 'central korean deciduous forests'], dtype=object)
array(['Incheon', 'Jeju-Do', 'Jeollabuk-Do'], dtype=object)
array(['nan', 'nan', 'nan'], dtype=object)
array([ 60., 37., 217.], dtype=float32)
array([[5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5,\n", + " 'steep - fine texture - low convexity'], dtype=object)
array(['water', 'water', 'very low plateaus'], dtype=object)
array(['water', 'water', 'steep - fine texture - high convexity'], dtype=object)
array(['water', 'water', 'steep - fine texture - low convexity'], dtype=object)
array(['water', 'water', 'hills'], dtype=object)
array(['water', 'water', 'hills'], dtype=object)
array([ 4., -1., 280.], dtype=float32)
array([ 10., 66., 109.], dtype=float32)
array(['1.4', '1.4', '1.4'], dtype=object)
array([1.171513, 1.151988, 1.243206], dtype=float32)
array([0.987336, 2.102892, 0.154906], dtype=float32)
array([ 74.10099, 81.21062, 174.84006], dtype=float32)
array([ 28.34486 , 138.51115 , 10.174279], dtype=float32)
array([5.9664, 0. , 0. ], dtype=float32)
array([100., 100., 100.], dtype=float32)
array([59., 80., 29.], dtype=float32)
array([34752., 9012., 19701.], dtype=float32)
array([1658., 4708., 1593.], dtype=float32)
array(['water', 'water', 'very low density rural'], dtype=object)
array(['water', 'water', 'very low density rural'], dtype=object)
array([166.15518, 0. , 0. ], dtype=float32)
array(['low density rural', 'low density rural', 'very low density rural'],\n", + " dtype=object)
array([125.20069, 79.76857, 251.70555], dtype=float32)
array([ 76.15041, 151.78712, 35.03873], dtype=float32)
array([1020.8104 , 295.55426, 3971.275 ], dtype=float32)
array([130.01776 , 295.55423 , 35.038742], dtype=float32)
array([130.01775, 295.5542 , 35.03873], dtype=float32)
array([ 0., -2., -40.], dtype=float32)
array([nan, nan, nan], dtype=float32)
array(['water', 'water', 'cold - no dry season - hot summer'], dtype=object)
array(['water', 'water', 'cold - no dry season - hot summer'], dtype=object)
array(['water', 'water', 'cold - no dry season - hot summer'], dtype=object)
array(['water bodies', 'croplands', 'woody savannas'], dtype=object)
array(['water bodies', 'water bodies', 'savannas'], dtype=object)
array(['water bodies', 'water bodies', 'woody savannas'], dtype=object)
array(['water bodies', 'water bodies', 'woody savannas'], dtype=object)
array(['water bodies', 'croplands', 'woody savannas'], dtype=object)
array(['water bodies', 'water bodies', 'deciduous broadleaf forests'],\n", + " dtype=object)
array(['water bodies', 'water bodies', 'savannas'], dtype=object)
array(['water bodies', 'water bodies', 'woody savannas'], dtype=object)
array(['water bodies', 'water bodies', 'woody savannas'], dtype=object)
array([12., 8., 17.], dtype=float32)
array([ 9., 12., 10.], dtype=float32)
array([62., 58., 63.], dtype=float32)
array([20., 22., 23.], dtype=float32)
array([11., 14., 8.], dtype=float32)
array([8.610014e+15, 4.759712e+15, 6.198418e+15], dtype=float32)
array([8.410300e+15, 4.600654e+15, 6.476759e+15], dtype=float32)
array([5.951614e+15, 2.243110e+15, 3.619630e+15], dtype=float32)
array([5.723139e+15, 2.023781e+15, 3.770765e+15], dtype=float32)
array(['residential woodlands', 'populated woodlands', 'residential woodlands'],\n", + " dtype=object)
array(['water', 'water', 'residential woodlands'], dtype=object)
array(['residential woodlands', 'populated woodlands', 'residential woodlands'],\n", + " dtype=object)
array(['Asia', 'Asia', 'Asia'], dtype=object)
array(['water', 'palearctic', 'palearctic'], dtype=object)
array(['water', 'temperate broadleaf and mixed forests',\n", + " 'temperate broadleaf and mixed forests'], dtype=object)
array(['water', 'southern korea evergreen forests',\n", + " 'central korean deciduous forests'], dtype=object)
array(['Incheon', 'Jeju-Do', 'Jeollabuk-Do'], dtype=object)
array(['nan', 'nan', 'nan'], dtype=object)
array([ 60., 37., 217.], dtype=float32)
array([[5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5,\n", " 5, 5, 5, 5, 5, 5, 5],\n", " [8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8,\n", " 8, 8, 8, 8, 8, 8, 8],\n", " [6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6,\n", - " 6, 6, 6, 6, 6, 6, 6]], dtype=uint8)
array([[16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16,\n", + " 6, 6, 6, 6, 6, 6, 6]], dtype=uint8)
array([[16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16,\n", " 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16],\n", " [12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12,\n", " 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12],\n", " [13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13,\n", - " 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13]], dtype=uint8)
array(['rural-regional', 'rural-remote', 'rural-regional'], dtype=object)
array(['nan', 'nan', 'nan'], dtype=object)
array(['Seogeom-Ri', 'Gaigeturi', 'Imsil'], dtype=object)
array(['nan', 'nan', 'nan'], dtype=object)
array(['eanetdata@acap.asia', 'eanetdata@acap.asia', 'eanetdata@acap.asia'],\n", - " dtype=object)
array(['EANET', 'EANET', 'EANET'], dtype=object)
array(['nan', 'nan', 'nan'], dtype=object)
array(['South Korea', 'South Korea', 'South Korea'], dtype=object)
array([[100, 100, 100, 100, 100, 100, 100, 4, 96, 4, 96, 100, 100, 100,\n", + " 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13]], dtype=uint8)
array(['rural-regional', 'rural-remote', 'rural-regional'], dtype=object)
array(['nan', 'nan', 'nan'], dtype=object)
array(['Seogeom-Ri', 'Gaigeturi', 'Imsil'], dtype=object)
array(['nan', 'nan', 'nan'], dtype=object)
array(['eanetdata@acap.asia', 'eanetdata@acap.asia', 'eanetdata@acap.asia'],\n", + " dtype=object)
array(['EANET', 'EANET', 'EANET'], dtype=object)
array(['nan', 'nan', 'nan'], dtype=object)
array(['South Korea', 'South Korea', 'South Korea'], dtype=object)
array([[100, 100, 100, 100, 100, 100, 100, 4, 96, 4, 96, 100, 100, 100,\n", " 100, 4, 96, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 4,\n", " 0, 96],\n", " [100, 100, 100, 4, 96, 100, 100, 100, 100, 4, 96, 100, 100, 100,\n", @@ -2453,7 +2453,7 @@ " 96, 100],\n", " [100, 100, 100, 4, 96, 100, 100, 100, 100, 4, 96, 100, 100, 100,\n", " 100, 4, 96, 100, 100, 100, 100, 4, 96, 100, 100, 100, 100, 100,\n", - " 100, 100]], dtype=uint8)
array([[ 0, 0, 0, 0, 0, 0, 0, 96, 4, 96, 4, 0, 0, 0,\n", + " 100, 100]], dtype=uint8)
array([[ 0, 0, 0, 0, 0, 0, 0, 96, 4, 96, 4, 0, 0, 0,\n", " 0, 96, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 96,\n", " 100, 4],\n", " [ 0, 0, 0, 96, 4, 0, 0, 0, 0, 96, 4, 0, 0, 0,\n", @@ -2461,10 +2461,10 @@ " 4, 0],\n", " [ 0, 0, 0, 96, 4, 0, 0, 0, 0, 96, 4, 0, 0, 0,\n", " 0, 96, 4, 0, 0, 0, 0, 96, 4, 0, 0, 0, 0, 0,\n", - " 0, 0]], dtype=uint8)
array([nan, nan, nan], dtype=float32)
array(['none', 'none', 'none'], dtype=object)
array(['Rights reserved to the Network Center for the EANET: https://monitoring.eanet.asia/document/public/index',\n", + " 0, 0]], dtype=uint8)
array([nan, nan, nan], dtype=float32)
array(['none', 'none', 'none'], dtype=object)
array(['Rights reserved to the Network Center for the EANET: https://monitoring.eanet.asia/document/public/index',\n", " 'Rights reserved to the Network Center for the EANET: https://monitoring.eanet.asia/document/public/index',\n", " 'Rights reserved to the Network Center for the EANET: https://monitoring.eanet.asia/document/public/index'],\n", - " dtype=object)
array([[255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255,\n", + " dtype=object)
array([[255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255,\n", " 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255,\n", " 255, 255],\n", " [255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255,\n", @@ -2472,7 +2472,7 @@ " 255, 255],\n", " [255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255,\n", " 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255,\n", - " 255, 255]], dtype=uint8)
array([nan, nan, nan], dtype=float32)
array([[nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n", + " 255, 255]], dtype=uint8)
array([nan, nan, nan], dtype=float32)
array([[nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n", " nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n", " nan, nan],\n", " [nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n", @@ -2480,7 +2480,7 @@ " nan, nan],\n", " [nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n", " nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n", - " nan, nan]], dtype=float32)
array([nan, nan, nan], dtype=float32)
array([nan, nan, nan], dtype=float32)
array([nan, nan, nan], dtype=float32)
array([nan, nan, nan], dtype=float32)
array(['WGS 84', 'WGS 84', 'WGS 84'], dtype=object)
array([[[ 4., nan, ..., nan, nan],\n", + " nan, nan]], dtype=float32)
array([nan, nan, nan], dtype=float32)
array([nan, nan, nan], dtype=float32)
array([nan, nan, nan], dtype=float32)
array([nan, nan, nan], dtype=float32)
array(['WGS 84', 'WGS 84', 'WGS 84'], dtype=object)
array([[[ 4., nan, ..., nan, nan],\n", " [ 4., nan, ..., nan, nan],\n", " ...,\n", " [ 0., nan, ..., nan, nan],\n", @@ -2496,23 +2496,23 @@ " [ 4., nan, ..., nan, nan],\n", " ...,\n", " [ 4., nan, ..., nan, nan],\n", - " [ 4., nan, ..., nan, nan]]], dtype=float32)
array(['WORLD GEODETIC SYSTEM 1984', 'WORLD GEODETIC SYSTEM 1984',\n", - " 'WORLD GEODETIC SYSTEM 1984'], dtype=object)
array(['nan', 'nan', 'nan'], dtype=object)
array([37.708889, 33.292222, 35.6025 ])
array([126.273889, 126.161944, 127.181389])
array(['nan', 'nan', 'nan'], dtype=object)
array([ 63., 40., 220.], dtype=float32)
array(['ion chromatography', 'ion chromatography', 'ion chromatography'],\n", - " dtype=object)
array(['nan', 'nan', 'nan'], dtype=object)
array(['nan', 'nan', 'nan'], dtype=object)
array(['nan', 'nan', 'nan'], dtype=object)
array(['nan', 'nan', 'nan'], dtype=object)
array(['nan', 'nan', 'nan'], dtype=object)
array([nan, nan, nan], dtype=float32)
array([nan, nan, nan], dtype=float32)
array(['nan', 'nan', 'nan'], dtype=object)
array(['nan', 'nan', 'nan'], dtype=object)
array(['nan', 'nan', 'nan'], dtype=object)
array([nan, nan, nan], dtype=float32)
array(['nan', 'nan', 'nan'], dtype=object)
array(['nan', 'nan', 'nan'], dtype=object)
array(['nan', 'nan', 'nan'], dtype=object)
array(['nan', 'nan', 'nan'], dtype=object)
array(['nan', 'nan', 'nan'], dtype=object)
array(['nan', 'nan', 'nan'], dtype=object)
array(['nan', 'nan', 'nan'], dtype=object)
array(['nan', 'nan', 'nan'], dtype=object)
array(['nan', 'nan', 'nan'], dtype=object)
array(['nan', 'nan', 'nan'], dtype=object)
array([nan, nan, nan], dtype=float32)
array([nan, nan, nan], dtype=float32)
array(['nan', 'nan', 'nan'], dtype=object)
array(['nan', 'nan', 'nan'], dtype=object)
array(['nan', 'nan', 'nan'], dtype=object)
array(['ug m-3', 'ug m-3', 'ug m-3'], dtype=object)
array([nan, nan, nan], dtype=float32)
array(['nan', 'nan', 'nan'], dtype=object)
array(['nan', 'nan', 'nan'], dtype=object)
array(['injection', 'injection', 'injection'], dtype=object)
array([[37, 37, 37, 37, 37, 37, 37, 37, 37, 37, 37, 37, 37, 37, 37, 37, 37,\n", + " [ 4., nan, ..., nan, nan]]], dtype=float32)
array(['WORLD GEODETIC SYSTEM 1984', 'WORLD GEODETIC SYSTEM 1984',\n", + " 'WORLD GEODETIC SYSTEM 1984'], dtype=object)
array(['nan', 'nan', 'nan'], dtype=object)
array([37.708889, 33.292222, 35.6025 ])
array([126.273889, 126.161944, 127.181389])
array(['nan', 'nan', 'nan'], dtype=object)
array([ 63., 40., 220.], dtype=float32)
array(['ion chromatography', 'ion chromatography', 'ion chromatography'],\n", + " dtype=object)
array(['nan', 'nan', 'nan'], dtype=object)
array(['nan', 'nan', 'nan'], dtype=object)
array(['nan', 'nan', 'nan'], dtype=object)
array(['nan', 'nan', 'nan'], dtype=object)
array(['nan', 'nan', 'nan'], dtype=object)
array([nan, nan, nan], dtype=float32)
array([nan, nan, nan], dtype=float32)
array(['nan', 'nan', 'nan'], dtype=object)
array(['nan', 'nan', 'nan'], dtype=object)
array(['nan', 'nan', 'nan'], dtype=object)
array([nan, nan, nan], dtype=float32)
array(['nan', 'nan', 'nan'], dtype=object)
array(['nan', 'nan', 'nan'], dtype=object)
array(['nan', 'nan', 'nan'], dtype=object)
array(['nan', 'nan', 'nan'], dtype=object)
array(['nan', 'nan', 'nan'], dtype=object)
array(['nan', 'nan', 'nan'], dtype=object)
array(['nan', 'nan', 'nan'], dtype=object)
array(['nan', 'nan', 'nan'], dtype=object)
array(['nan', 'nan', 'nan'], dtype=object)
array(['nan', 'nan', 'nan'], dtype=object)
array([nan, nan, nan], dtype=float32)
array([nan, nan, nan], dtype=float32)
array(['nan', 'nan', 'nan'], dtype=object)
array(['nan', 'nan', 'nan'], dtype=object)
array(['nan', 'nan', 'nan'], dtype=object)
array(['ug m-3', 'ug m-3', 'ug m-3'], dtype=object)
array([nan, nan, nan], dtype=float32)
array(['nan', 'nan', 'nan'], dtype=object)
array(['nan', 'nan', 'nan'], dtype=object)
array(['injection', 'injection', 'injection'], dtype=object)
array([[37, 37, 37, 37, 37, 37, 37, 37, 37, 37, 37, 37, 37, 37, 37, 37, 37,\n", " 37, 37, 37, 37, 37, 37, 37, 37, 37, 37, 37, 37, 37],\n", " [17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17,\n", " 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17],\n", " [27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27,\n", - " 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27]], dtype=uint8)
array([[17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17,\n", + " 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27]], dtype=uint8)
array([[17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17,\n", " 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17],\n", " [17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17,\n", " 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17],\n", " [13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13,\n", - " 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13]], dtype=uint8)
array(['EANET', 'EANET', 'EANET'], dtype=object)
array(['nan', 'nan', 'nan'], dtype=object)
array(['nan', 'nan', 'nan'], dtype=object)
array([1013.25, 1013.25, 1013.25])
array([293.15, 293.15, 293.15])
array(['nan', 'nan', 'nan'], dtype=object)
array(['nan', 'nan', 'nan'], dtype=object)
array(['nan', 'nan', 'nan'], dtype=object)
array([nan, nan, nan], dtype=float32)
array(['nan', 'nan', 'nan'], dtype=object)
array(['nan', 'nan', 'nan'], dtype=object)
array(['nan', 'nan', 'nan'], dtype=object)
array(['nan', 'nan', 'nan'], dtype=object)
array(['nan', 'nan', 'nan'], dtype=object)
array(['nan', 'nan', 'nan'], dtype=object)
array(['low volume continuous', 'low volume continuous',\n", - " 'low volume continuous'], dtype=object)
array(['nan', 'nan', 'nan'], dtype=object)
array(['nan', 'nan', 'nan'], dtype=object)
array(['nan', 'nan', 'nan'], dtype=object)
array(['Measurement Altitude assumed to be Altitude + Sampling Height. ',\n", + " 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13]], dtype=uint8)
array(['EANET', 'EANET', 'EANET'], dtype=object)
array(['nan', 'nan', 'nan'], dtype=object)
array(['nan', 'nan', 'nan'], dtype=object)
array([1013.25, 1013.25, 1013.25])
array([293.15, 293.15, 293.15])
array(['nan', 'nan', 'nan'], dtype=object)
array(['nan', 'nan', 'nan'], dtype=object)
array(['nan', 'nan', 'nan'], dtype=object)
array([nan, nan, nan], dtype=float32)
array(['nan', 'nan', 'nan'], dtype=object)
array(['nan', 'nan', 'nan'], dtype=object)
array(['nan', 'nan', 'nan'], dtype=object)
array(['nan', 'nan', 'nan'], dtype=object)
array(['nan', 'nan', 'nan'], dtype=object)
array(['nan', 'nan', 'nan'], dtype=object)
array(['low volume continuous', 'low volume continuous',\n", + " 'low volume continuous'], dtype=object)
array(['nan', 'nan', 'nan'], dtype=object)
array(['nan', 'nan', 'nan'], dtype=object)
array(['nan', 'nan', 'nan'], dtype=object)
array(['Measurement Altitude assumed to be Altitude + Sampling Height. ',\n", " 'Measurement Altitude assumed to be Altitude + Sampling Height. ',\n", " 'Measurement Altitude assumed to be Altitude + Sampling Height. '],\n", - " dtype=object)
array(['GEOGRAPHIC', 'GEOGRAPHIC', 'GEOGRAPHIC'], dtype=object)
array([[[ 0., 15., ..., nan, nan],\n", + " dtype=object)
array(['GEOGRAPHIC', 'GEOGRAPHIC', 'GEOGRAPHIC'], dtype=object)
array([[[ 0., 15., ..., nan, nan],\n", " [ 0., 15., ..., nan, nan],\n", " ...,\n", " [15., 19., ..., nan, nan],\n", @@ -2528,7 +2528,7 @@ " [ 0., 15., ..., nan, nan],\n", " ...,\n", " [ 0., 15., ..., nan, nan],\n", - " [ 0., 15., ..., nan, nan]]], dtype=float32)
array([[nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n", + " [ 0., 15., ..., nan, nan]]], dtype=float32)
array([[nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n", " nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n", " nan, nan],\n", " [nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n", @@ -2536,8 +2536,8 @@ " nan, nan],\n", " [nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n", " nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n", - " nan, nan]], dtype=float32)
array([nan, nan, nan], dtype=float32)
array(['nan', 'nan', 'nan'], dtype=object)
array(['nan', 'nan', 'nan'], dtype=object)
array(['nan', 'nan', 'nan'], dtype=object)
array(['3-Stage Filter Pack', '3-Stage Filter Pack', '3-Stage Filter Pack'],\n", - " dtype=object)
array(['filter pack', 'filter pack', 'filter pack'], dtype=object)
array([3., 3., 3.], dtype=float32)
array([[ nan, nan, nan, nan, nan, nan, nan,\n", + " nan, nan]], dtype=float32)
array([nan, nan, nan], dtype=float32)
array(['nan', 'nan', 'nan'], dtype=object)
array(['nan', 'nan', 'nan'], dtype=object)
array(['nan', 'nan', 'nan'], dtype=object)
array(['3-Stage Filter Pack', '3-Stage Filter Pack', '3-Stage Filter Pack'],\n", + " dtype=object)
array(['filter pack', 'filter pack', 'filter pack'], dtype=object)
array([3., 3., 3.], dtype=float32)
array([[ nan, nan, nan, nan, nan, nan, nan,\n", " 2.31 , 2.31 , 1.12 , 1.12 , nan, nan, nan,\n", " nan, 1.71 , 1.71 , nan, nan, nan, nan,\n", " nan, nan, nan, nan, nan, nan, 1.38 ,\n", @@ -2551,7 +2551,7 @@ " nan, nan, 2.44 , 2.44 , nan, nan, nan,\n", " nan, 2.24 , 2.24 , nan, nan, nan, nan,\n", " 1.37 , 1.37 , nan, nan, nan, nan, nan,\n", - " nan, nan]], dtype=float32)
array([[255, 255, 255, 255, 255, 255, 255, 2, 2, 2, 2, 255, 255, 255,\n", + " nan, nan]], dtype=float32)
array([[255, 255, 255, 255, 255, 255, 255, 2, 2, 2, 2, 255, 255, 255,\n", " 255, 2, 2, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 2,\n", " 2, 2],\n", " [255, 255, 255, 2, 2, 255, 255, 255, 255, 2, 2, 255, 255, 255,\n", @@ -2559,8 +2559,8 @@ " 2, 255],\n", " [255, 255, 255, 2, 2, 255, 255, 255, 255, 2, 2, 255, 255, 255,\n", " 255, 2, 2, 255, 255, 255, 255, 2, 2, 255, 255, 255, 255, 255,\n", - " 255, 255]], dtype=uint8)
array(['nan', 'nan', 'nan'], dtype=object)
array(['Kanghwa', 'Cheju (Kosan)', 'Imsil'], dtype=object)
array(['KRA001_IC', 'KRA002_IC', 'KRA003_IC'], dtype=object)
array(['Asia/Seoul', 'Asia/Seoul', 'Asia/Seoul'], dtype=object)
array(['nan', 'nan', 'nan'], dtype=object)
array([nan, nan, nan], dtype=float32)
array(['nan', 'nan', 'nan'], dtype=object)
array(['TIDAL - MEAN SEA LEVEL', 'TIDAL - MEAN SEA LEVEL',\n", - " 'TIDAL - MEAN SEA LEVEL'], dtype=object)
array([[255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255,\n", + " 255, 255]], dtype=uint8)
array(['nan', 'nan', 'nan'], dtype=object)
array(['Kanghwa', 'Cheju (Kosan)', 'Imsil'], dtype=object)
array(['KRA001_IC', 'KRA002_IC', 'KRA003_IC'], dtype=object)
array(['Asia/Seoul', 'Asia/Seoul', 'Asia/Seoul'], dtype=object)
array(['nan', 'nan', 'nan'], dtype=object)
array([nan, nan, nan], dtype=float32)
array(['nan', 'nan', 'nan'], dtype=object)
array(['TIDAL - MEAN SEA LEVEL', 'TIDAL - MEAN SEA LEVEL',\n", + " 'TIDAL - MEAN SEA LEVEL'], dtype=object)
array([[255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255,\n", " 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255,\n", " 255, 255],\n", " [255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255,\n", @@ -2568,7 +2568,7 @@ " 255, 255],\n", " [255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255,\n", " 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255,\n", - " 255, 255]], dtype=uint8)
array([[ nan, nan, nan, nan, nan, nan, nan,\n", + " 255, 255]], dtype=uint8)
array([[ nan, nan, nan, nan, nan, nan, nan,\n", " 2.31 , 2.31 , 1.12 , 1.12 , nan, nan, nan,\n", " nan, 1.71 , 1.71 , nan, nan, nan, nan,\n", " nan, nan, nan, nan, nan, nan, 1.38 ,\n", @@ -2582,7 +2582,7 @@ " nan, nan, 2.44 , 2.44 , nan, nan, nan,\n", " nan, 2.24 , 2.24 , nan, nan, nan, nan,\n", " 1.37 , 1.37 , nan, nan, nan, nan, nan,\n", - " nan, nan]], dtype=float32)
array(['2019-11-01T00:00:00.000000000', '2019-11-02T00:00:00.000000000',\n", + " Conventions: CF-1.7
array(['2019-11-01T00:00:00.000000000', '2019-11-02T00:00:00.000000000',\n", " '2019-11-03T00:00:00.000000000', '2019-11-04T00:00:00.000000000',\n", " '2019-11-05T00:00:00.000000000', '2019-11-06T00:00:00.000000000',\n", " '2019-11-07T00:00:00.000000000', '2019-11-08T00:00:00.000000000',\n", @@ -4680,26 +4680,26 @@ " '2019-11-25T00:00:00.000000000', '2019-11-26T00:00:00.000000000',\n", " '2019-11-27T00:00:00.000000000', '2019-11-28T00:00:00.000000000',\n", " '2019-11-29T00:00:00.000000000', '2019-11-30T00:00:00.000000000'],\n", - " dtype='datetime64[ns]')
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array([126.273889, 126.161944, 127.181389])
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array([3.955383e-13, 1.652272e-13, 8.565082e-12], dtype=float32)
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array([3.090143e-14, 1.290841e-14, 5.084733e-12], dtype=float32)
array([0.000000e+00, 0.000000e+00, 2.124066e-16], dtype=float32)
array([6.180300e-15, 2.581682e-15, 8.383800e-13], dtype=float32)
array(['gentle - fine texture - low convexity',\n", + " dtype='datetime64[ns]')
array([0., 1., 2.])
array([37.708889, 33.292222, 35.6025 ])
array([126.273889, 126.161944, 127.181389])
array([ 60., 52., 200.], dtype=float32)
array([1.235562e-15, 5.161284e-16, 1.677018e-13], dtype=float32)
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array([0.000000e+00, 0.000000e+00, 7.552762e-16], dtype=float32)
array([1.545073e-14, 6.454220e-15, 2.849663e-12], dtype=float32)
array([3.955383e-13, 1.652272e-13, 8.565082e-12], dtype=float32)
array([6.080775e-16, 2.540110e-16, 8.383988e-14], dtype=float32)
array([6.180300e-15, 2.581682e-15, 8.388205e-13], dtype=float32)
array([3.090143e-14, 1.290841e-14, 5.084733e-12], dtype=float32)
array([0.000000e+00, 0.000000e+00, 2.124066e-16], dtype=float32)
array([6.180300e-15, 2.581682e-15, 8.383800e-13], dtype=float32)
array(['gentle - fine texture - low convexity',\n", " 'medium gentle - fine texture - low convexity',\n", - " 'steep - fine texture - low convexity'], dtype=object)
array(['water', 'water', 'very low plateaus'], dtype=object)
array(['water', 'water', 'steep - fine texture - high convexity'], dtype=object)
array(['water', 'water', 'steep - fine texture - low convexity'], dtype=object)
array(['water', 'water', 'hills'], dtype=object)
array(['water', 'water', 'hills'], dtype=object)
array([ 4., -1., 280.], dtype=float32)
array([ 10., 66., 109.], dtype=float32)
array(['1.4', '1.4', '1.4'], dtype=object)
array([1.171513, 1.151988, 1.243206], dtype=float32)
array([0.987336, 2.102892, 0.154906], dtype=float32)
array([ 74.10099, 81.21062, 174.84006], dtype=float32)
array([ 28.34486 , 138.51115 , 10.174279], dtype=float32)
array([5.9664, 0. , 0. ], dtype=float32)
array([100., 100., 100.], dtype=float32)
array([59., 80., 29.], dtype=float32)
array([34752., 9012., 19701.], dtype=float32)
array([1658., 4708., 1593.], dtype=float32)
array(['water', 'water', 'very low density rural'], dtype=object)
array(['water', 'water', 'very low density rural'], dtype=object)
array([166.15518, 0. , 0. ], dtype=float32)
array(['low density rural', 'low density rural', 'very low density rural'],\n", - " dtype=object)
array([125.20069, 79.76857, 251.70555], dtype=float32)
array([ 76.15041, 151.78712, 35.03873], dtype=float32)
array([1020.8104 , 295.55426, 3971.275 ], dtype=float32)
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array([130.01775, 295.5542 , 35.03873], dtype=float32)
array([ 0., -2., -40.], dtype=float32)
array([nan, nan, nan], dtype=float32)
array(['water', 'water', 'cold - no dry season - hot summer'], dtype=object)
array(['water', 'water', 'cold - no dry season - hot summer'], dtype=object)
array(['water', 'water', 'cold - no dry season - hot summer'], dtype=object)
array(['water bodies', 'croplands', 'woody savannas'], dtype=object)
array(['water bodies', 'water bodies', 'savannas'], dtype=object)
array(['water bodies', 'water bodies', 'woody savannas'], dtype=object)
array(['water bodies', 'water bodies', 'woody savannas'], dtype=object)
array(['water bodies', 'croplands', 'woody savannas'], dtype=object)
array(['water bodies', 'water bodies', 'deciduous broadleaf forests'],\n", - " dtype=object)
array(['water bodies', 'water bodies', 'savannas'], dtype=object)
array(['water bodies', 'water bodies', 'woody savannas'], dtype=object)
array(['water bodies', 'water bodies', 'woody savannas'], dtype=object)
array([12., 8., 17.], dtype=float32)
array([ 9., 12., 10.], dtype=float32)
array([62., 58., 63.], dtype=float32)
array([20., 22., 23.], dtype=float32)
array([11., 14., 8.], dtype=float32)
array([8.610014e+15, 4.759712e+15, 6.198418e+15], dtype=float32)
array([8.410300e+15, 4.600654e+15, 6.476759e+15], dtype=float32)
array([5.951614e+15, 2.243110e+15, 3.619630e+15], dtype=float32)
array([5.723139e+15, 2.023781e+15, 3.770765e+15], dtype=float32)
array(['residential woodlands', 'populated woodlands', 'residential woodlands'],\n", - " dtype=object)
array(['water', 'water', 'residential woodlands'], dtype=object)
array(['residential woodlands', 'populated woodlands', 'residential woodlands'],\n", - " dtype=object)
array(['Asia', 'Asia', 'Asia'], dtype=object)
array(['water', 'palearctic', 'palearctic'], dtype=object)
array(['water', 'temperate broadleaf and mixed forests',\n", - " 'temperate broadleaf and mixed forests'], dtype=object)
array(['water', 'southern korea evergreen forests',\n", - " 'central korean deciduous forests'], dtype=object)
array(['Incheon', 'Jeju-Do', 'Jeollabuk-Do'], dtype=object)
array(['nan', 'nan', 'nan'], dtype=object)
array([ 60., 37., 217.], dtype=float32)
array([[5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5,\n", + " 'steep - fine texture - low convexity'], dtype=object)
array(['water', 'water', 'very low plateaus'], dtype=object)
array(['water', 'water', 'steep - fine texture - high convexity'], dtype=object)
array(['water', 'water', 'steep - fine texture - low convexity'], dtype=object)
array(['water', 'water', 'hills'], dtype=object)
array(['water', 'water', 'hills'], dtype=object)
array([ 4., -1., 280.], dtype=float32)
array([ 10., 66., 109.], dtype=float32)
array(['1.4', '1.4', '1.4'], dtype=object)
array([1.171513, 1.151988, 1.243206], dtype=float32)
array([0.987336, 2.102892, 0.154906], dtype=float32)
array([ 74.10099, 81.21062, 174.84006], dtype=float32)
array([ 28.34486 , 138.51115 , 10.174279], dtype=float32)
array([5.9664, 0. , 0. ], dtype=float32)
array([100., 100., 100.], dtype=float32)
array([59., 80., 29.], dtype=float32)
array([34752., 9012., 19701.], dtype=float32)
array([1658., 4708., 1593.], dtype=float32)
array(['water', 'water', 'very low density rural'], dtype=object)
array(['water', 'water', 'very low density rural'], dtype=object)
array([166.15518, 0. , 0. ], dtype=float32)
array(['low density rural', 'low density rural', 'very low density rural'],\n", + " dtype=object)
array([125.20069, 79.76857, 251.70555], dtype=float32)
array([ 76.15041, 151.78712, 35.03873], dtype=float32)
array([1020.8104 , 295.55426, 3971.275 ], dtype=float32)
array([130.01776 , 295.55423 , 35.038742], dtype=float32)
array([130.01775, 295.5542 , 35.03873], dtype=float32)
array([ 0., -2., -40.], dtype=float32)
array([nan, nan, nan], dtype=float32)
array(['water', 'water', 'cold - no dry season - hot summer'], dtype=object)
array(['water', 'water', 'cold - no dry season - hot summer'], dtype=object)
array(['water', 'water', 'cold - no dry season - hot summer'], dtype=object)
array(['water bodies', 'croplands', 'woody savannas'], dtype=object)
array(['water bodies', 'water bodies', 'savannas'], dtype=object)
array(['water bodies', 'water bodies', 'woody savannas'], dtype=object)
array(['water bodies', 'water bodies', 'woody savannas'], dtype=object)
array(['water bodies', 'croplands', 'woody savannas'], dtype=object)
array(['water bodies', 'water bodies', 'deciduous broadleaf forests'],\n", + " dtype=object)
array(['water bodies', 'water bodies', 'savannas'], dtype=object)
array(['water bodies', 'water bodies', 'woody savannas'], dtype=object)
array(['water bodies', 'water bodies', 'woody savannas'], dtype=object)
array([12., 8., 17.], dtype=float32)
array([ 9., 12., 10.], dtype=float32)
array([62., 58., 63.], dtype=float32)
array([20., 22., 23.], dtype=float32)
array([11., 14., 8.], dtype=float32)
array([8.610014e+15, 4.759712e+15, 6.198418e+15], dtype=float32)
array([8.410300e+15, 4.600654e+15, 6.476759e+15], dtype=float32)
array([5.951614e+15, 2.243110e+15, 3.619630e+15], dtype=float32)
array([5.723139e+15, 2.023781e+15, 3.770765e+15], dtype=float32)
array(['residential woodlands', 'populated woodlands', 'residential woodlands'],\n", + " dtype=object)
array(['water', 'water', 'residential woodlands'], dtype=object)
array(['residential woodlands', 'populated woodlands', 'residential woodlands'],\n", + " dtype=object)
array(['Asia', 'Asia', 'Asia'], dtype=object)
array(['water', 'palearctic', 'palearctic'], dtype=object)
array(['water', 'temperate broadleaf and mixed forests',\n", + " 'temperate broadleaf and mixed forests'], dtype=object)
array(['water', 'southern korea evergreen forests',\n", + " 'central korean deciduous forests'], dtype=object)
array(['Incheon', 'Jeju-Do', 'Jeollabuk-Do'], dtype=object)
array(['nan', 'nan', 'nan'], dtype=object)
array([ 60., 37., 217.], dtype=float32)
array([[5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5,\n", " 5, 5, 5, 5, 5, 5, 5],\n", " [8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8,\n", " 8, 8, 8, 8, 8, 8, 8],\n", " [6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6,\n", - " 6, 6, 6, 6, 6, 6, 6]], dtype=uint8)
array([[16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16,\n", + " 6, 6, 6, 6, 6, 6, 6]], dtype=uint8)
array([[16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16,\n", " 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16],\n", " [12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12,\n", " 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12],\n", " [13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13,\n", - " 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13]], dtype=uint8)
array(['rural-regional', 'rural-remote', 'rural-regional'], dtype=object)
array(['nan', 'nan', 'nan'], dtype=object)
array(['Seogeom-Ri', 'Gaigeturi', 'Imsil'], dtype=object)
array(['nan', 'nan', 'nan'], dtype=object)
array(['eanetdata@acap.asia', 'eanetdata@acap.asia', 'eanetdata@acap.asia'],\n", - " dtype=object)
array(['EANET', 'EANET', 'EANET'], dtype=object)
array(['nan', 'nan', 'nan'], dtype=object)
array(['South Korea', 'South Korea', 'South Korea'], dtype=object)
array([[100, 100, 100, 100, 100, 100, 100, 4, 96, 4, 96, 100, 100, 100,\n", + " 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13]], dtype=uint8)
array(['rural-regional', 'rural-remote', 'rural-regional'], dtype=object)
array(['nan', 'nan', 'nan'], dtype=object)
array(['Seogeom-Ri', 'Gaigeturi', 'Imsil'], dtype=object)
array(['nan', 'nan', 'nan'], dtype=object)
array(['eanetdata@acap.asia', 'eanetdata@acap.asia', 'eanetdata@acap.asia'],\n", + " dtype=object)
array(['EANET', 'EANET', 'EANET'], dtype=object)
array(['nan', 'nan', 'nan'], dtype=object)
array(['South Korea', 'South Korea', 'South Korea'], dtype=object)
array([[100, 100, 100, 100, 100, 100, 100, 4, 96, 4, 96, 100, 100, 100,\n", " 100, 4, 96, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 4,\n", " 0, 96],\n", " [100, 100, 100, 4, 96, 100, 100, 100, 100, 4, 96, 100, 100, 100,\n", @@ -4707,7 +4707,7 @@ " 96, 100],\n", " [100, 100, 100, 4, 96, 100, 100, 100, 100, 4, 96, 100, 100, 100,\n", " 100, 4, 96, 100, 100, 100, 100, 4, 96, 100, 100, 100, 100, 100,\n", - " 100, 100]], dtype=uint8)
array([[ 0, 0, 0, 0, 0, 0, 0, 96, 4, 96, 4, 0, 0, 0,\n", + " 100, 100]], dtype=uint8)
array([[ 0, 0, 0, 0, 0, 0, 0, 96, 4, 96, 4, 0, 0, 0,\n", " 0, 96, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 96,\n", " 100, 4],\n", " [ 0, 0, 0, 96, 4, 0, 0, 0, 0, 96, 4, 0, 0, 0,\n", @@ -4715,10 +4715,10 @@ " 4, 0],\n", " [ 0, 0, 0, 96, 4, 0, 0, 0, 0, 96, 4, 0, 0, 0,\n", " 0, 96, 4, 0, 0, 0, 0, 96, 4, 0, 0, 0, 0, 0,\n", - " 0, 0]], dtype=uint8)
array([nan, nan, nan], dtype=float32)
array(['none', 'none', 'none'], dtype=object)
array(['Rights reserved to the Network Center for the EANET: https://monitoring.eanet.asia/document/public/index',\n", + " 0, 0]], dtype=uint8)
array([nan, nan, nan], dtype=float32)
array(['none', 'none', 'none'], dtype=object)
array(['Rights reserved to the Network Center for the EANET: https://monitoring.eanet.asia/document/public/index',\n", " 'Rights reserved to the Network Center for the EANET: https://monitoring.eanet.asia/document/public/index',\n", " 'Rights reserved to the Network Center for the EANET: https://monitoring.eanet.asia/document/public/index'],\n", - " dtype=object)
array([[255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255,\n", + " dtype=object)
array([[255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255,\n", " 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255,\n", " 255, 255],\n", " [255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255,\n", @@ -4726,7 +4726,7 @@ " 255, 255],\n", " [255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255,\n", " 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255,\n", - " 255, 255]], dtype=uint8)
array([nan, nan, nan], dtype=float32)
array([[nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n", + " 255, 255]], dtype=uint8)
array([nan, nan, nan], dtype=float32)
array([[nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n", " nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n", " nan, nan],\n", " [nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n", @@ -4734,23 +4734,23 @@ " nan, nan],\n", " [nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n", " nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n", - " nan, nan]], dtype=float32)
array([nan, nan, nan], dtype=float32)
array([nan, nan, nan], dtype=float32)
array([nan, nan, nan], dtype=float32)
array([nan, nan, nan], dtype=float32)
array(['WGS 84', 'WGS 84', 'WGS 84'], dtype=object)
array(['WORLD GEODETIC SYSTEM 1984', 'WORLD GEODETIC SYSTEM 1984',\n", - " 'WORLD GEODETIC SYSTEM 1984'], dtype=object)
array(['nan', 'nan', 'nan'], dtype=object)
array(['nan', 'nan', 'nan'], dtype=object)
array([ 63., 40., 220.], dtype=float32)
array(['ion chromatography', 'ion chromatography', 'ion chromatography'],\n", - " dtype=object)
array(['nan', 'nan', 'nan'], dtype=object)
array(['nan', 'nan', 'nan'], dtype=object)
array(['nan', 'nan', 'nan'], dtype=object)
array(['nan', 'nan', 'nan'], dtype=object)
array(['nan', 'nan', 'nan'], dtype=object)
array([nan, nan, nan], dtype=float32)
array([nan, nan, nan], dtype=float32)
array(['nan', 'nan', 'nan'], dtype=object)
array(['nan', 'nan', 'nan'], dtype=object)
array(['nan', 'nan', 'nan'], dtype=object)
array([nan, nan, nan], dtype=float32)
array(['nan', 'nan', 'nan'], dtype=object)
array(['nan', 'nan', 'nan'], dtype=object)
array(['nan', 'nan', 'nan'], dtype=object)
array(['nan', 'nan', 'nan'], dtype=object)
array(['nan', 'nan', 'nan'], dtype=object)
array(['nan', 'nan', 'nan'], dtype=object)
array(['nan', 'nan', 'nan'], dtype=object)
array(['nan', 'nan', 'nan'], dtype=object)
array(['nan', 'nan', 'nan'], dtype=object)
array(['nan', 'nan', 'nan'], dtype=object)
array([nan, nan, nan], dtype=float32)
array([nan, nan, nan], dtype=float32)
array(['nan', 'nan', 'nan'], dtype=object)
array(['nan', 'nan', 'nan'], dtype=object)
array(['nan', 'nan', 'nan'], dtype=object)
array(['ug m-3', 'ug m-3', 'ug m-3'], dtype=object)
array([nan, nan, nan], dtype=float32)
array(['nan', 'nan', 'nan'], dtype=object)
array(['nan', 'nan', 'nan'], dtype=object)
array(['injection', 'injection', 'injection'], dtype=object)
array([[37, 37, 37, 37, 37, 37, 37, 37, 37, 37, 37, 37, 37, 37, 37, 37, 37,\n", + " nan, nan]], dtype=float32)
array([nan, nan, nan], dtype=float32)
array([nan, nan, nan], dtype=float32)
array([nan, nan, nan], dtype=float32)
array([nan, nan, nan], dtype=float32)
array(['WGS 84', 'WGS 84', 'WGS 84'], dtype=object)
array(['WORLD GEODETIC SYSTEM 1984', 'WORLD GEODETIC SYSTEM 1984',\n", + " 'WORLD GEODETIC SYSTEM 1984'], dtype=object)
array(['nan', 'nan', 'nan'], dtype=object)
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array([ 63., 40., 220.], dtype=float32)
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array([[[4, 2, ..., 2, 2],\n", " [4, 2, ..., 2, 2],\n", " ...,\n", " [0, 2, ..., 2, 2],\n", @@ -4820,7 +4820,7 @@ " [4, 2, ..., 2, 2],\n", " ...,\n", " [4, 2, ..., 2, 2],\n", - " [4, 2, ..., 2, 2]]])
array([[[ 0, 15, ..., 2, 2],\n", + " [4, 2, ..., 2, 2]]])
array([[[ 0, 15, ..., 2, 2],\n", " [ 0, 15, ..., 2, 2],\n", " ...,\n", " [15, 19, ..., 2, 2],\n", @@ -4836,7 +4836,7 @@ " [ 0, 15, ..., 2, 2],\n", " ...,\n", " [ 0, 15, ..., 2, 2],\n", - " [ 0, 15, ..., 2, 2]]])
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array(['AR0001R_UVP', 'AR0002G_UVP', 'AR0004R_UVP', 'AR0005R_UVP',\n", - " 'AT0002R_UVP', 'AT0005R_UVP', 'AT0030R_UVP', 'AT0032R_UVP',\n", - " 'AT0034G_UVP', 'AT0038R_UVP', 'AT0040R_UVP', 'AT0041R_UVP',\n", - " 'AT0042R_UVP', 'AT0043R_UVP', 'AT0045R_UVP', 'AT0046R_UVP',\n", - " 'AT0047R_UVP', 'AT0048R_UVP', 'AT0049R_UVP', 'AT0050R_UVP',\n", - " 'BE0001R_UVP', 'BE0032R_UVP', 'BE0035R_UVP', 'BG0053R_UVP',\n", - " 'BM0001R_UVP', 'CA0103R_UVP', 'CH0001G_UVP', 'CH0002R_UVP',\n", - " 'CH0003R_UVP', 'CH0004R_UVP', 'CH0005R_UVP', 'CH0053R_UVP',\n", - " 'CL0001R_UVP', 'CV0001G_UVP', 'CY0002R_UVP', 'CZ0001R_UVP',\n", - " 'CZ0003R_UVP', 'CZ0005R_UVP', 'DE0001R_UVP', 'DE0002R_UVP',\n", - " 'DE0003R_UVP', 'DE0007R_UVP', 'DE0008R_UVP', 'DE0009R_UVP',\n", - " 'DE0043G_UVP', 'DE0054R_UVP', 'DE0060G_UVP', 'DK0005R_UVP',\n", - " 'DK0010G_UVP', 'DK0012R_UVP', 'DK0025G_UVP', 'DK0031R_UVP',\n", - " 'EE0009R_UVP', 'EE0011R_UVP', 'ES0001R_UVP', 'ES0005R_UVP',\n", - " 'ES0006R_UVP', 'ES0007R_UVP', 'ES0008R_UVP', 'ES0009R_UVP',\n", - " 'ES0010R_UVP', 'ES0011R_UVP', 'ES0012R_UVP', 'ES0013R_UVP',\n", - " 'ES0014R_UVP', 'ES0016R_UVP', 'ES0017R_UVP', 'ES0018G_UVP',\n", - " 'FI0009R_UVP', 'FI0018R_UVP', 'FI0022R_UVP', 'FI0096G_UVP',\n", - " 'FR0008R_UVP', 'FR0009R_UVP', 'FR0010R_UVP', 'FR0013R_UVP',\n", - " 'FR0014R_UVP', 'FR0015R_UVP', 'FR0016R_UVP', 'FR0017R_UVP',\n", - " 'FR0018R_UVP', 'FR0019R_UVP', 'FR0020R_UVP', 'FR0023R_UVP',\n", - " 'FR0025R_UVP', 'FR0030R_UVP', 'GB0002R_UVP', 'GB0006R_UVP',\n", - " 'GB0013R_UVP', 'GB0014R_UVP', 'GB0015R_UVP', 'GB0031R_UVP',\n", - " 'GB0033R_UVP', 'GB0037R_UVP', 'GB0038R_UVP', 'GB0039R_UVP',\n", - " 'GB0043R_UVP', 'GB0045R_UVP', 'GB0048R_UVP', 'GB0049R_UVP',\n", - " 'GB0050R_UVP', 'GB0052R_UVP', 'GB0059G_UVP', 'GB1055R_UVP',\n", - " 'GR0001R_UVP', 'GR0002R_UVP', 'HU0002R_UVP', 'HU0003R_UVP',\n", - " 'ID1013R_UVP', 'IE0001R_UVP', 'IE0031R_UVP', 'IT0004R_UVP',\n", - " 'IT0009R_UVP', 'IT0014R_UVP', 'IT0018R_UVP', 'IT0019R_UVP',\n", - " 'JP0002G_UVP', 'JP1020R_UVP--S1', 'JP1028G_UVP', 'JP1029R_UVP',\n", - " 'KR0100R_UVP', 'KR0101R_UVP', 'LT0015R_UVP', 'LV0010R_UVP',\n", - " 'LV0016R_UVP', 'MK0007R_UVP', 'MT0001R_UVP', 'NL0007R_UVP',\n", - " 'NL0009R_UVP', 'NL0010R_UVP', 'NL0091R_UVP', 'NL0644R_UVP',\n", - " 'NO0002R_UVP', 'NO0015R_UVP', 'NO0039R_UVP', 'NO0042G_UVP',\n", - " 'NO0043R_UVP', 'NO0047R_UVP', 'NO0052R_UVP', 'NO0056R_UVP',\n", - " 'NO0059G_UVP', 'NO0489R_UVP', 'NZ0001R_UVP', 'NZ0002R_UVP',\n", - " 'NZ0003G_UVP', 'PL0002R_UVP', 'PL0003R_UVP', 'PL0004R_UVP',\n", - " 'PL0005R_UVP', 'RS0005R_UVP', 'RU0100R_UVP', 'SE0005R_UVP',\n", - " 'SE0013R_UVP', 'SE0014R_UVP', 'SE0018R_UVP', 'SE0019R_UVP',\n", - " 'SE0020R_UVP', 'SE0022R_UVP', 'SE0032R_UVP', 'SE0035R_UVP',\n", - " 'SE0039R_UVP', 'SI0008R_UVP', 'SI0031R_UVP', 'SI0032R_UVP',\n", - " 'SK0002R_UVP', 'SK0004R_UVP', 'SK0006R_UVP', 'SK0007R_UVP',\n", - " 'US0008R_UVP', 'US0901R_UVP', 'US1200R_UVP', 'US6004G_UVP',\n", - " 'US6005G_UVP', 'VN0001R_UVP', 'ZA0001G_UVP'], dtype=object)
<xarray.Dataset>\n", - "Dimensions: (grid_edge: 1125, station: 175, model_latitude: 211, model_longitude: 351, time: 720)\n", - "Coordinates:\n", - " * time (time) datetime64[ns] 2018-04-01 ... 2018-04-30T2...\n", - "Dimensions without coordinates: grid_edge, station, model_latitude, model_longitude\n", - "Data variables:\n", - " grid_edge_latitude (grid_edge) float64 29.9 30.1 30.3 ... 29.9 29.9\n", - " grid_edge_longitude (grid_edge) float64 -25.1 -25.1 ... -24.9 -25.1\n", - " latitude (station) float64 -64.24 -54.85 ... 21.57 -34.35\n", - " longitude (station) float64 -56.62 -68.31 ... 103.5 18.49\n", - " model_centre_latitude (model_latitude, model_longitude) float64 30.0 .....\n", - " model_centre_longitude (model_latitude, model_longitude) float64 -25.0 ....\n", - " sconco3 (station, time) float32 ...\n", - " station_reference (station) object 'AR0001R_UVP' ... 'ZA0001G_UVP'\n", - "Attributes:\n", - " title: Inverse distance weighting (4 neighbours) interpolated ca...\n", - " institution: Barcelona Supercomputing Center\n", - " source: Experiment cams61_chimere_ph2\n", - " creator_name: Dene R. Bowdalo\n", - " creator_email: dene.bowdalo@bsc.es\n", - " conventions: CF-1.7\n", - " data_version: 1.0\n", - " history: Thu Feb 11 10:19:01 2021: ncks -O --dfl_lvl 1 /gpfs/proje...\n", - " NCO: 4.7.2
array(['2018-04-01T00:00:00.000000000', '2018-04-01T01:00:00.000000000',\n", - " '2018-04-01T02:00:00.000000000', ..., '2018-04-30T21:00:00.000000000',\n", - " '2018-04-30T22:00:00.000000000', '2018-04-30T23:00:00.000000000'],\n", - " dtype='datetime64[ns]')
array([29.9 , 30.1 , 30.299999, ..., 29.9 , 29.9 , 29.9 ])
array([-25.1 , -25.1 , -25.1 , ..., -24.700001, -24.9 ,\n", - " -25.1 ])
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<xarray.Dataset>\n", + "Dimensions: (time: 720, station: 168, model_latitude: 211, model_longitude: 351, grid_edge: 1125)\n", "Coordinates:\n", " * time (time) datetime64[ns] 2018-04-01 ... 2018-04-30T2...\n", - "Dimensions without coordinates: grid_edge, station, model_latitude, model_longitude\n", - "Data variables:\n", - " grid_edge_latitude (grid_edge) float64 ...\n", - " grid_edge_longitude (grid_edge) float64 ...\n", - " latitude (station) float64 ...\n", - " longitude (station) float64 ...\n", - " model_centre_latitude (model_latitude, model_longitude) float64 ...\n", - " model_centre_longitude (model_latitude, model_longitude) float64 ...\n", - " sconco3 (station, time) float32 ...\n", - " station_reference (station) object ...\n", - "Attributes:\n", - " title: Inverse distance weighting (4 neighbours) interpolated ca...\n", - " institution: Barcelona Supercomputing Center\n", - " source: Experiment cams61_chimere_ph2\n", - " creator_name: Dene R. Bowdalo\n", - " creator_email: dene.bowdalo@bsc.es\n", - " conventions: CF-1.7\n", - " data_version: 1.0\n", - " history: Thu Feb 11 10:19:01 2021: ncks -O --dfl_lvl 1 /gpfs/proje...\n", - " NCO: 4.7.2" - ] - }, - "execution_count": 3, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "xr.open_dataset(exp_path)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Procedure" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Experiment before interpolation" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [], - "source": [ - "var_ds_before_path = \"/esarchive/recon/ecmwf/cams61/cams61_chimere_ph2/eu/hourly/sconco3/sconco3_201804.nc\"\n", - "var_ds_before = open_netcdf(var_ds_before_path)" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [], - "source": [ - "var_ds_before.load()" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 6, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "var_ds_before" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Experiment after interpolation" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/esarchive/scratch/avilanova/software/NES/nes/load_nes.py:69: UserWarning: Parallel method cannot be 'Y' to create points NES. Setting it to 'X'\n", - " warnings.warn(\"Parallel method cannot be 'Y' to create points NES. Setting it to 'X'\")\n" - ] - } - ], - "source": [ - "var_ds_after_path = 'exp_path_interp_points.nc'\n", - "var_ds_after = open_netcdf(var_ds_after_path)" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [ - { - "data": { + " * station (station) float64 0.0 1.0 2.0 ... 165.0 166.0 167.0\n", + "Dimensions without coordinates: model_latitude, model_longitude, grid_edge\n", + "Data variables:\n", + " lat (station) float64 -64.24 -54.85 ... 21.57 -34.35\n", + " lon (station) float64 -56.62 -68.31 ... 103.5 18.49\n", + " model_centre_longitude (model_latitude, model_longitude) float64 -25.0 ....\n", + " model_centre_latitude (model_latitude, model_longitude) float64 30.0 .....\n", + " grid_edge_longitude (grid_edge) float64 -25.1 -25.1 ... -24.9 -25.1\n", + " grid_edge_latitude (grid_edge) float64 29.9 30.1 30.3 ... 29.9 29.9\n", + " sconco3 (station, time) float64 ...\n", + "Attributes:\n", + " Conventions: CF-1.7
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[126000 values with dtype=float32]
array(['AR0001R_UVP', 'AR0002G_UVP', 'AR0004R_UVP', 'AR0005R_UVP',\n", + " [-25. , -24.799999, -24.6 , ..., 44.599998, 44.799999,\n", + " 45. ],\n", + " [-25. , -24.799999, -24.6 , ..., 44.599998, 44.799999,\n", + " 45. ],\n", + " [-25. , -24.799999, -24.6 , ..., 44.599998, 44.799999,\n", + " 45. ]])
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array(['AR0001R_UVP', 'AR0002G_UVP', 'AR0004R_UVP', 'AR0005R_UVP',\n", " 'AT0002R_UVP', 'AT0005R_UVP', 'AT0030R_UVP', 'AT0032R_UVP',\n", " 'AT0034G_UVP', 'AT0038R_UVP', 'AT0040R_UVP', 'AT0041R_UVP',\n", " 'AT0042R_UVP', 'AT0043R_UVP', 'AT0045R_UVP', 'AT0046R_UVP',\n", @@ -1925,63 +1772,42 @@ " 'SE0039R_UVP', 'SI0008R_UVP', 'SI0031R_UVP', 'SI0032R_UVP',\n", " 'SK0002R_UVP', 'SK0004R_UVP', 'SK0006R_UVP', 'SK0007R_UVP',\n", " 'US0008R_UVP', 'US0901R_UVP', 'US1200R_UVP', 'US6004G_UVP',\n", - " 'US6005G_UVP', 'VN0001R_UVP', 'ZA0001G_UVP'], dtype=object)
<xarray.Dataset>\n", - "Dimensions: (station: 173, time: 744)\n", - "Coordinates:\n", - " * time (time) datetime64[ns] 2018-01-01 ... 2018-01-31T23:00:00\n", - "Dimensions without coordinates: station\n", - "Data variables:\n", - " latitude (station) float64 -64.24 -54.85 -22.1 ... 21.57 -34.35\n", - " longitude (station) float64 -56.62 -68.31 -65.6 ... 103.5 18.49\n", - " sconco3 (station, time) float32 ...\n", - " station_reference (station) object 'AR0001R_UVP' ... 'ZA0001G_UVP'\n", - "Attributes:\n", - " title: Inverse distance weighting (4 neighbours) interpolated a2...\n", - " institution: Barcelona Supercomputing Center\n", - " source: Experiment a2yb\n", - " creator_name: Dene R. Bowdalo\n", - " creator_email: dene.bowdalo@bsc.es\n", - " conventions: CF-1.7\n", - " data_version: 1.0\n", - " history: Mon Mar 1 13:45:41 2021: ncks -O --dfl_lvl 1 /gpfs/proje...\n", - " NCO: netCDF Operators version 4.9.2 (Homepage = http://nco.sf....
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array(['AR0001R_UVP', 'AR0002G_UVP', 'AR0004R_UVP', 'AR0005R_UVP',\n", - " 'AT0002R_UVP', 'AT0005R_UVP', 'AT0030R_UVP', 'AT0032R_UVP',\n", - " 'AT0034G_UVP', 'AT0038R_UVP', 'AT0040R_UVP', 'AT0041R_UVP',\n", - " 'AT0042R_UVP', 'AT0043R_UVP', 'AT0045R_UVP', 'AT0046R_UVP',\n", - " 'AT0047R_UVP', 'AT0048R_UVP', 'AT0049R_UVP', 'AT0050R_UVP',\n", - " 'BE0001R_UVP', 'BE0032R_UVP', 'BE0035R_UVP', 'BG0053R_UVP',\n", - " 'BM0001R_UVP', 'CA0103R_UVP', 'CH0001G_UVP', 'CH0002R_UVP',\n", - " 'CH0003R_UVP', 'CH0004R_UVP', 'CH0005R_UVP', 'CH0053R_UVP',\n", - " 'CL0001R_UVP', 'CV0001G_UVP', 'CY0002R_UVP', 'CZ0001R_UVP',\n", - " 'CZ0003R_UVP', 'CZ0005R_UVP', 'DE0001R_UVP', 'DE0002R_UVP',\n", - " 'DE0003R_UVP', 'DE0007R_UVP', 'DE0008R_UVP', 'DE0009R_UVP',\n", - " 'DE0043G_UVP', 'DE0054R_UVP', 'DE0060G_UVP', 'DK0005R_UVP',\n", - " 'DK0010G_UVP', 'DK0012R_UVP', 'DK0025G_UVP', 'DK0031R_UVP',\n", - " 'EE0009R_UVP', 'EE0011R_UVP', 'ES0001R_UVP', 'ES0005R_UVP',\n", - " 'ES0006R_UVP', 'ES0007R_UVP', 'ES0008R_UVP', 'ES0009R_UVP',\n", - " 'ES0010R_UVP', 'ES0011R_UVP', 'ES0012R_UVP', 'ES0013R_UVP',\n", - " 'ES0014R_UVP', 'ES0016R_UVP', 'ES0017R_UVP', 'ES0018G_UVP',\n", - " 'FI0009R_UVP', 'FI0018R_UVP', 'FI0022R_UVP', 'FI0096G_UVP',\n", - " 'FR0008R_UVP', 'FR0009R_UVP', 'FR0010R_UVP', 'FR0013R_UVP',\n", - " 'FR0014R_UVP', 'FR0015R_UVP', 'FR0016R_UVP', 'FR0017R_UVP',\n", - " 'FR0018R_UVP', 'FR0019R_UVP', 'FR0020R_UVP', 'FR0023R_UVP',\n", - " 'FR0025R_UVP', 'FR0030R_UVP', 'GB0002R_UVP', 'GB0006R_UVP',\n", - " 'GB0013R_UVP', 'GB0014R_UVP', 'GB0015R_UVP', 'GB0031R_UVP',\n", - " 'GB0033R_UVP', 'GB0037R_UVP', 'GB0038R_UVP', 'GB0039R_UVP',\n", - " 'GB0043R_UVP', 'GB0045R_UVP', 'GB0048R_UVP', 'GB0049R_UVP',\n", - " 'GB0050R_UVP', 'GB0052R_UVP', 'GB0059G_UVP', 'GB1055R_UVP',\n", - " 'GR0001R_UVP', 'GR0002R_UVP', 'HU0002R_UVP', 'HU0003R_UVP',\n", - " 'ID1013R_UVP', 'IE0001R_UVP', 'IE0031R_UVP', 'IT0004R_UVP',\n", - " 'IT0009R_UVP', 'IT0014R_UVP', 'IT0018R_UVP', 'IT0019R_UVP',\n", - " 'JP0002G_UVP', 'JP1020R_UVP--S1', 'JP1028G_UVP', 'JP1029R_UVP',\n", - " 'KR0100R_UVP', 'KR0101R_UVP', 'LT0015R_UVP', 'LV0010R_UVP',\n", - " 'LV0016R_UVP', 'MK0007R_UVP', 'MT0001R_UVP', 'NL0007R_UVP',\n", - " 'NL0009R_UVP', 'NL0010R_UVP', 'NL0091R_UVP', 'NL0644R_UVP',\n", - " 'NO0002R_UVP', 'NO0015R_UVP', 'NO0039R_UVP', 'NO0042G_UVP',\n", - " 'NO0043R_UVP', 'NO0052R_UVP', 'NO0056R_UVP', 'NO0059G_UVP',\n", - " 'NO0489R_UVP', 'NZ0001R_UVP', 'NZ0002R_UVP', 'NZ0003G_UVP',\n", - " 'PL0002R_UVP', 'PL0003R_UVP', 'PL0004R_UVP', 'PL0005R_UVP',\n", - " 'RS0005R_UVP', 'RU0100R_UVP', 'SE0005R_UVP', 'SE0013R_UVP',\n", - " 'SE0014R_UVP', 'SE0018R_UVP', 'SE0019R_UVP', 'SE0020R_UVP',\n", - " 'SE0032R_UVP', 'SE0035R_UVP', 'SE0039R_UVP', 'SI0008R_UVP',\n", - " 'SI0031R_UVP', 'SI0032R_UVP', 'SK0002R_UVP', 'SK0004R_UVP',\n", - " 'SK0006R_UVP', 'SK0007R_UVP', 'US0008R_UVP', 'US0901R_UVP',\n", - " 'US1200R_UVP', 'US6004G_UVP', 'US6005G_UVP', 'VN0001R_UVP',\n", - " 'ZA0001G_UVP'], dtype=object)
<xarray.Dataset>\n", - "Dimensions: (grid_edge: 1245, station: 173, model_latitude: 271, model_longitude: 351, time: 744)\n", - "Coordinates:\n", - " * time (time) datetime64[ns] 2018-01-01 ... 2018-01-31T2...\n", - "Dimensions without coordinates: grid_edge, station, model_latitude, model_longitude\n", - "Data variables:\n", - " grid_edge_latitude (grid_edge) float64 16.22 16.4 16.57 ... 16.3 16.22\n", - " grid_edge_longitude (grid_edge) float64 -22.21 -22.31 ... -22.05 -22.21\n", - " latitude (station) float64 -64.24 -54.85 ... 21.57 -34.35\n", - " longitude (station) float64 -56.62 -68.31 ... 103.5 18.49\n", - " model_centre_latitude (model_latitude, model_longitude) float64 16.35 ....\n", - " model_centre_longitude (model_latitude, model_longitude) float64 -22.18 ...\n", - " sconco3 (station, time) float32 ...\n", - " station_reference (station) object 'AR0001R_UVP' ... 'ZA0001G_UVP'\n", - "Attributes:\n", - " title: Inverse distance weighting (4 neighbours) interpolated a2...\n", - " institution: Barcelona Supercomputing Center\n", - " source: Experiment a2yb\n", - " creator_name: Dene R. Bowdalo\n", - " creator_email: dene.bowdalo@bsc.es\n", - " conventions: CF-1.7\n", - " data_version: 1.0\n", - " history: Mon Mar 1 13:45:41 2021: ncks -O --dfl_lvl 1 /gpfs/proje...\n", - " NCO: netCDF Operators version 4.9.2 (Homepage = http://nco.sf....
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<xarray.Dataset>\n", - "Dimensions: (time: 25, rlat: 271, rlon: 351, lev: 1)\n", - "Coordinates:\n", - " * time (time) datetime64[ns] 2018-01-01 ... 2018-01-02\n", - " lat (rlat, rlon) float32 16.35 16.43 16.52 ... 58.83 58.68 58.53\n", - " lon (rlat, rlon) float32 -22.18 -22.02 -21.85 ... 88.05 88.23\n", - " * rlat (rlat) float32 -27.0 -26.8 -26.6 -26.4 ... 26.4 26.6 26.8 27.0\n", - " * rlon (rlon) float32 -35.0 -34.8 -34.6 -34.4 ... 34.4 34.6 34.8 35.0\n", - " * lev (lev) float32 0.0\n", - "Data variables:\n", - " sconco3 (time, lev, rlat, rlon) float32 ...\n", - " rotated_pole |S1 b''
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array([-2125847.534765, -2113847.610112, -2101847.010684, ..., 3574152.262286,\n", - " 3586150.20523 , 3598150.638118])
array([-2067138.479486, -2055138.337429, -2043137.546656, ..., 2672862.222453,\n", - " 2684862.70005 , 2696862.03252 ])
array([0.], dtype=float32)
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<xarray.Dataset>\n", - "Dimensions: (time: 744, station: 8643, model_latitude: 398, model_longitude: 478, grid_edge: 1753)\n", - "Coordinates:\n", - " * time (time) datetime64[ns] 2021-01-01 ... 2021-01-31T2...\n", - " * station (station) float64 0.0 1.0 ... 8.641e+03 8.642e+03\n", - "Dimensions without coordinates: model_latitude, model_longitude, grid_edge\n", - "Data variables:\n", - " lat (station) float64 42.51 42.52 42.53 ... 28.09 28.48\n", - " lon (station) float64 1.539 1.565 ... -17.12 -16.26\n", - " model_centre_longitude (model_latitude, model_longitude) float64 ...\n", - " model_centre_latitude (model_latitude, model_longitude) float64 ...\n", - " grid_edge_longitude (grid_edge) float64 -22.4 -22.42 ... -22.3 -22.4\n", - " grid_edge_latitude (grid_edge) float64 19.6 19.7 19.8 ... 19.62 19.6\n", - " sconco3 (station, time) float32 ...\n", - " station_reference (station) object 'escaldes-engordany' ... 'palmetum'\n", - "Attributes:\n", - " Conventions: CF-1.7
array(['2021-01-01T00:00:00.000000000', '2021-01-01T01:00:00.000000000',\n", - " '2021-01-01T02:00:00.000000000', ..., '2021-01-31T21:00:00.000000000',\n", - " '2021-01-31T22:00:00.000000000', '2021-01-31T23:00:00.000000000'],\n", - " dtype='datetime64[ns]')
array([0.000e+00, 1.000e+00, 2.000e+00, ..., 8.640e+03, 8.641e+03, 8.642e+03])
array([42.509724, 42.516945, 42.534882, ..., 40.946671, 28.09148 , 28.475439])
array([ 1.539172, 1.565014, 1.716986, ..., -0.29083 , -17.11573 ,\n", - " -16.25853 ])
[190244 values with dtype=float64]
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array([-22.400848, -22.424283, -22.447774, ..., -22.18916 , -22.295035,\n", - " -22.400848])
array([19.601754, 19.701436, 19.801174, ..., 19.645623, 19.623746, 19.601754])
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array(['escaldes-engordany', 'engolasters', 'envalira', ..., 'monagregagrav',\n", - " 'el calvario-ss gomera', 'palmetum'], dtype=object)