sea_surface_height
sea-surface altimetry data from The Copernicus Marine Environment
Load in Python
from intake import open_catalog
cat = open_catalog("https://raw.githubusercontent.com/pangeo-data/pangeo-datastore/master/intake-catalogs/ocean.yaml")
ds = cat["sea_surface_height"].to_dask()Working with requester pays data
Several of the datasets within the cloud data catalog are contained in requester pays storage buckets. This means that a user requesting data must provide their own billing project (created and authenticated through Google Cloud Platform) to be billed for the charges associated with accessing a dataset. To set up an GCP billing project and use it for authentication in applications:- Create a project on GCP; if this is the first time using GCP, a prompt will appear to choose a Google account to link to all GCP-related activities.
- Create a Cloud Billing account associated with the project and enable billing for the project through this account.
- Using Google Cloud IAM, add the Service Usage Consumer role to your account, which enables it to make billed requests on the behalf of the project.
- Through command line, install the Google Cloud SDK; this can be done using conda:
conda install -c conda-forge google-cloud-sdk - Initialize the
gcloudcommand line interface, logging into the account used to create the aforementioned project and selecting it as the default project; this will allow the project to be used for requester pays access through the command line:gcloud auth login gcloud init - Finally, use
gcloudto establish application default credentials; this will allow the project to be used for requester pays access through applications:gcloud auth application-default login
Metadata
| url | http://marine.copernicus.eu/services-portfolio/access-to-products/?option=com_csw&view=details&product_id=SEALEVEL_GLO_PHY_L4_REP_OBSERVATIONS_008_047 |
| tags | ['ocean', 'satellite'] |
Dataset Contents
xarray.Dataset
- latitude: 720
- longitude: 1440
- nv: 2
- time: 8901
- 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
array(-2147483647, dtype=int32)
- lat_bnds(time, latitude, nv)float32dask.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 51.27 MB 28.80 kB Shape (8901, 720, 2) (5, 720, 2) Count 1782 Tasks 1781 Chunks Type float32 numpy.ndarray - latitude(latitude)float32-89.875 -89.625 ... 89.625 89.875
- 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)float32dask.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 11.52 kB 11.52 kB Shape (1440, 2) (1440, 2) Count 2 Tasks 1 Chunks Type float32 numpy.ndarray - longitude(longitude)float320.125 0.375 ... 359.625 359.875
- 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)int320 1
- comment :
- Vertex
- units :
- 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]')
- adt(time, latitude, longitude)float64dask.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 73.83 GB 41.47 MB Shape (8901, 720, 1440) (5, 720, 1440) Count 1782 Tasks 1781 Chunks Type float64 numpy.ndarray - err(time, latitude, longitude)float64dask.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 73.83 GB 41.47 MB Shape (8901, 720, 1440) (5, 720, 1440) Count 1782 Tasks 1781 Chunks Type float64 numpy.ndarray - sla(time, latitude, longitude)float64dask.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 73.83 GB 41.47 MB Shape (8901, 720, 1440) (5, 720, 1440) Count 1782 Tasks 1781 Chunks Type float64 numpy.ndarray - ugos(time, latitude, longitude)float64dask.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 73.83 GB 41.47 MB Shape (8901, 720, 1440) (5, 720, 1440) Count 1782 Tasks 1781 Chunks Type float64 numpy.ndarray - ugosa(time, latitude, longitude)float64dask.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 73.83 GB 41.47 MB Shape (8901, 720, 1440) (5, 720, 1440) Count 1782 Tasks 1781 Chunks Type float64 numpy.ndarray - vgos(time, latitude, longitude)float64dask.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 73.83 GB 41.47 MB Shape (8901, 720, 1440) (5, 720, 1440) Count 1782 Tasks 1781 Chunks Type float64 numpy.ndarray - vgosa(time, latitude, longitude)float64dask.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 73.83 GB 41.47 MB Shape (8901, 720, 1440) (5, 720, 1440) Count 1782 Tasks 1781 Chunks Type float64 numpy.ndarray
- 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