<xarray.Dataset> Size: 517GB
Dimensions: (time: 8901, latitude: 720, longitude: 1440, nv: 2)
Coordinates:
crs int32 4B ...
lat_bnds (time, latitude, nv) float32 51MB dask.array<chunksize=(5, 720, 2), meta=np.ndarray>
* latitude (latitude) float32 3kB -89.88 -89.62 -89.38 ... 89.38 89.62 89.88
lon_bnds (longitude, nv) float32 12kB dask.array<chunksize=(1440, 2), meta=np.ndarray>
* longitude (longitude) float32 6kB 0.125 0.375 0.625 ... 359.4 359.6 359.9
* nv (nv) int32 8B 0 1
* time (time) datetime64[ns] 71kB 1993-01-01 1993-01-02 ... 2017-05-15
Data variables:
adt (time, latitude, longitude) float64 74GB dask.array<chunksize=(5, 720, 1440), meta=np.ndarray>
err (time, latitude, longitude) float64 74GB dask.array<chunksize=(5, 720, 1440), meta=np.ndarray>
sla (time, latitude, longitude) float64 74GB dask.array<chunksize=(5, 720, 1440), meta=np.ndarray>
ugos (time, latitude, longitude) float64 74GB dask.array<chunksize=(5, 720, 1440), meta=np.ndarray>
ugosa (time, latitude, longitude) float64 74GB dask.array<chunksize=(5, 720, 1440), meta=np.ndarray>
vgos (time, latitude, longitude) float64 74GB dask.array<chunksize=(5, 720, 1440), meta=np.ndarray>
vgosa (time, latitude, longitude) float64 74GB dask.array<chunksize=(5, 720, 1440), meta=np.ndarray>
Attributes: (12/43)
Conventions: CF-1.6
Metadata_Conventions: Unidata Dataset Discovery v1.0
cdm_data_type: Grid
comment: Sea Surface Height measured by Altimetry...
contact: servicedesk.cmems@mercator-ocean.eu
creator_email: servicedesk.cmems@mercator-ocean.eu
... ...
summary: SSALTO/DUACS Delayed-Time Level-4 sea su...
time_coverage_duration: P1D
time_coverage_end: 1993-01-01T12:00:00Z
time_coverage_resolution: P1D
time_coverage_start: 1992-12-31T12:00:00Z
title: DT merged all satellites Global Ocean Gr... Dimensions: time : 8901latitude : 720longitude : 1440nv : 2
Coordinates: (7)
crs
()
int32
...
comment : This is a container variable that describes the grid_mapping used by the data in this file. This variable does not contain any data; only information about the geographic coordinate system. grid_mapping_name : latitude_longitude inverse_flattening : 298.257 semi_major_axis : 6378136.3 [1 values with dtype=int32] lat_bnds
(time, latitude, nv)
float32
dask.array<chunksize=(5, 720, 2), meta=np.ndarray>
comment : latitude values at the north and south bounds of each pixel. units : degrees_north
Array
Chunk
Bytes
48.89 MiB
28.12 kiB
Shape
(8901, 720, 2)
(5, 720, 2)
Dask graph
1781 chunks in 2 graph layers
Data type
float32 numpy.ndarray
2
720
8901
latitude
(latitude)
float32
-89.88 -89.62 ... 89.62 89.88
axis : Y bounds : lat_bnds long_name : Latitude standard_name : latitude units : degrees_north valid_max : 89.875 valid_min : -89.875 array([-89.875, -89.625, -89.375, ..., 89.375, 89.625, 89.875],
dtype=float32) lon_bnds
(longitude, nv)
float32
dask.array<chunksize=(1440, 2), meta=np.ndarray>
comment : longitude values at the west and east bounds of each pixel. units : degrees_east
Array
Chunk
Bytes
11.25 kiB
11.25 kiB
Shape
(1440, 2)
(1440, 2)
Dask graph
1 chunks in 2 graph layers
Data type
float32 numpy.ndarray
2
1440
longitude
(longitude)
float32
0.125 0.375 0.625 ... 359.6 359.9
axis : X bounds : lon_bnds long_name : Longitude standard_name : longitude units : degrees_east valid_max : 359.875 valid_min : 0.125 array([1.25000e-01, 3.75000e-01, 6.25000e-01, ..., 3.59375e+02, 3.59625e+02,
3.59875e+02], dtype=float32) nv
(nv)
int32
0 1
array([0, 1], dtype=int32) time
(time)
datetime64[ns]
1993-01-01 ... 2017-05-15
axis : T long_name : Time standard_name : time array(['1993-01-01T00:00:00.000000000', '1993-01-02T00:00:00.000000000',
'1993-01-03T00:00:00.000000000', ..., '2017-05-13T00:00:00.000000000',
'2017-05-14T00:00:00.000000000', '2017-05-15T00:00:00.000000000'],
dtype='datetime64[ns]') Data variables: (7)
adt
(time, latitude, longitude)
float64
dask.array<chunksize=(5, 720, 1440), meta=np.ndarray>
comment : The absolute dynamic topography is the sea surface height above geoid; the adt is obtained as follows: adt=sla+mdt where mdt is the mean dynamic topography; see the product user manual for details grid_mapping : crs long_name : Absolute dynamic topography standard_name : sea_surface_height_above_geoid units : m
Array
Chunk
Bytes
68.76 GiB
39.55 MiB
Shape
(8901, 720, 1440)
(5, 720, 1440)
Dask graph
1781 chunks in 2 graph layers
Data type
float64 numpy.ndarray
1440
720
8901
err
(time, latitude, longitude)
float64
dask.array<chunksize=(5, 720, 1440), meta=np.ndarray>
comment : The formal mapping error represents a purely theoretical mapping error. It mainly traduces errors induced by the constellation sampling capability and consistency with the spatial/temporal scales considered, as described in Le Traon et al (1998) or Ducet et al (2000) grid_mapping : crs long_name : Formal mapping error units : m
Array
Chunk
Bytes
68.76 GiB
39.55 MiB
Shape
(8901, 720, 1440)
(5, 720, 1440)
Dask graph
1781 chunks in 2 graph layers
Data type
float64 numpy.ndarray
1440
720
8901
sla
(time, latitude, longitude)
float64
dask.array<chunksize=(5, 720, 1440), meta=np.ndarray>
comment : The sea level anomaly is the sea surface height above mean sea surface; it is referenced to the [1993, 2012] period; see the product user manual for details grid_mapping : crs long_name : Sea level anomaly standard_name : sea_surface_height_above_sea_level units : m
Array
Chunk
Bytes
68.76 GiB
39.55 MiB
Shape
(8901, 720, 1440)
(5, 720, 1440)
Dask graph
1781 chunks in 2 graph layers
Data type
float64 numpy.ndarray
1440
720
8901
ugos
(time, latitude, longitude)
float64
dask.array<chunksize=(5, 720, 1440), meta=np.ndarray>
grid_mapping : crs long_name : Absolute geostrophic velocity: zonal component standard_name : surface_geostrophic_eastward_sea_water_velocity units : m/s
Array
Chunk
Bytes
68.76 GiB
39.55 MiB
Shape
(8901, 720, 1440)
(5, 720, 1440)
Dask graph
1781 chunks in 2 graph layers
Data type
float64 numpy.ndarray
1440
720
8901
ugosa
(time, latitude, longitude)
float64
dask.array<chunksize=(5, 720, 1440), meta=np.ndarray>
comment : The geostrophic velocity anomalies are referenced to the [1993, 2012] period grid_mapping : crs long_name : Geostrophic velocity anomalies: zonal component standard_name : surface_geostrophic_eastward_sea_water_velocity_assuming_sea_level_for_geoid units : m/s
Array
Chunk
Bytes
68.76 GiB
39.55 MiB
Shape
(8901, 720, 1440)
(5, 720, 1440)
Dask graph
1781 chunks in 2 graph layers
Data type
float64 numpy.ndarray
1440
720
8901
vgos
(time, latitude, longitude)
float64
dask.array<chunksize=(5, 720, 1440), meta=np.ndarray>
grid_mapping : crs long_name : Absolute geostrophic velocity: meridian component standard_name : surface_geostrophic_northward_sea_water_velocity units : m/s
Array
Chunk
Bytes
68.76 GiB
39.55 MiB
Shape
(8901, 720, 1440)
(5, 720, 1440)
Dask graph
1781 chunks in 2 graph layers
Data type
float64 numpy.ndarray
1440
720
8901
vgosa
(time, latitude, longitude)
float64
dask.array<chunksize=(5, 720, 1440), meta=np.ndarray>
comment : The geostrophic velocity anomalies are referenced to the [1993, 2012] period grid_mapping : crs long_name : Geostrophic velocity anomalies: meridian component standard_name : surface_geostrophic_northward_sea_water_velocity_assuming_sea_level_for_geoid units : m/s
Array
Chunk
Bytes
68.76 GiB
39.55 MiB
Shape
(8901, 720, 1440)
(5, 720, 1440)
Dask graph
1781 chunks in 2 graph layers
Data type
float64 numpy.ndarray
1440
720
8901
Indexes: (4)
PandasIndex
PandasIndex(Index([-89.875, -89.625, -89.375, -89.125, -88.875, -88.625, -88.375, -88.125,
-87.875, -87.625,
...
87.625, 87.875, 88.125, 88.375, 88.625, 88.875, 89.125, 89.375,
89.625, 89.875],
dtype='float32', name='latitude', length=720)) PandasIndex
PandasIndex(Index([ 0.125, 0.375, 0.625, 0.875, 1.125, 1.375, 1.625, 1.875,
2.125, 2.375,
...
357.625, 357.875, 358.125, 358.375, 358.625, 358.875, 359.125, 359.375,
359.625, 359.875],
dtype='float32', name='longitude', length=1440)) PandasIndex
PandasIndex(Index([0, 1], dtype='int32', name='nv')) PandasIndex
PandasIndex(DatetimeIndex(['1993-01-01', '1993-01-02', '1993-01-03', '1993-01-04',
'1993-01-05', '1993-01-06', '1993-01-07', '1993-01-08',
'1993-01-09', '1993-01-10',
...
'2017-05-06', '2017-05-07', '2017-05-08', '2017-05-09',
'2017-05-10', '2017-05-11', '2017-05-12', '2017-05-13',
'2017-05-14', '2017-05-15'],
dtype='datetime64[ns]', name='time', length=8901, freq=None)) Attributes: (43)
Conventions : CF-1.6 Metadata_Conventions : Unidata Dataset Discovery v1.0 cdm_data_type : Grid comment : Sea Surface Height measured by Altimetry and derived variables contact : servicedesk.cmems@mercator-ocean.eu creator_email : servicedesk.cmems@mercator-ocean.eu creator_name : CMEMS - Sea Level Thematic Assembly Center creator_url : http://marine.copernicus.eu date_created : 2014-02-26T16:09:13Z date_issued : 2014-01-06T00:00:00Z date_modified : 2015-11-10T19:42:51Z geospatial_lat_max : 89.875 geospatial_lat_min : -89.875 geospatial_lat_resolution : 0.25 geospatial_lat_units : degrees_north geospatial_lon_max : 359.875 geospatial_lon_min : 0.125 geospatial_lon_resolution : 0.25 geospatial_lon_units : degrees_east geospatial_vertical_max : 0.0 geospatial_vertical_min : 0.0 geospatial_vertical_positive : down geospatial_vertical_resolution : point geospatial_vertical_units : m history : 2014-02-26T16:09:13Z: created by DUACS DT - 2015-11-10T19:42:51Z: Change of some attributes - 2017-01-06 12:12:12Z: New format for CMEMSv3 institution : CLS, CNES keywords : Oceans > Ocean Topography > Sea Surface Height keywords_vocabulary : NetCDF COARDS Climate and Forecast Standard Names license : http://marine.copernicus.eu/web/27-service-commitments-and-licence.php platform : ERS-1, Topex/Poseidon processing_level : L4 product_version : 5.0 project : COPERNICUS MARINE ENVIRONMENT MONITORING SERVICE (CMEMS) references : http://marine.copernicus.eu source : Altimetry measurements ssalto_duacs_comment : The reference mission used for the altimeter inter-calibration processing is Topex/Poseidon between 1993-01-01 and 2002-04-23, Jason-1 between 2002-04-24 and 2008-10-18, OSTM/Jason-2 since 2008-10-19. standard_name_vocabulary : NetCDF Climate and Forecast (CF) Metadata Convention Standard Name Table v37 summary : SSALTO/DUACS Delayed-Time Level-4 sea surface height and derived variables measured by multi-satellite altimetry observations over Global Ocean. time_coverage_duration : P1D time_coverage_end : 1993-01-01T12:00:00Z time_coverage_resolution : P1D time_coverage_start : 1992-12-31T12:00:00Z title : DT merged all satellites Global Ocean Gridded SSALTO/DUACS Sea Surface Height L4 product and derived variables 
