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Dataset Title: | Deseasonalized Monthly mean for product CMCC_ASLV_GLORYS12v1_GLO
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Institution: | Canadian Meteorological Centre (Dataset ID: EMODNET_CMCC_ASLV_GLORYS12v1_GLO_MEAN_DESEASONALIZED) |
Information: | Summary ![]() ![]() ![]() |
Attributes { time { String _CoordinateAxisType "Time"; Float64 actual_range 7.271856e+8, 1.5764976e+9; String axis "T"; String calendar "gregorian"; String ioos_category "Time"; String long_name "Time (hours since 1950-01-01)"; String standard_name "time"; String time_origin "01-JAN-1970 00:00:00"; String units "seconds since 1970-01-01T00:00:00Z"; } latitude { String _CoordinateAxisType "Lat"; Float32 actual_range -80.0, 90.0; String axis "Y"; String ioos_category "Location"; String long_name "Latitude"; String standard_name "latitude"; String units "degrees_north"; } longitude { String _CoordinateAxisType "Lon"; Float32 actual_range -180.0, 179.9167; String axis "X"; String ioos_category "Location"; String long_name "Longitude"; String standard_name "longitude"; String units "degrees_east"; } zos { Float32 _FillValue -10.0; String cell_methods "area: mean"; Float64 colorBarMaximum 2.0; Float64 colorBarMinimum -2.0; String long_name "Sea surface height"; Float32 missing_value -10.0; String standard_name "sea_surface_height_above_geoid"; String unit_long "Meters"; String units "m"; } NC_GLOBAL { String cdm_data_type "Grid"; String Conventions "COARDS, CF-1.6, ACDD-1.3"; String creator_name "Canadian Meteorological Centre"; String creator_url "https://www.ec.gc.ca/scitech/default.asp?lang=En&n=61B33C26-1#cmc"; Float64 Easternmost_Easting 179.9167; Float64 geospatial_lat_max 90.0; Float64 geospatial_lat_min -80.0; Float64 geospatial_lat_resolution 0.08333333333333333; String geospatial_lat_units "degrees_north"; Float64 geospatial_lon_max 179.9167; Float64 geospatial_lon_min -180.0; Float64 geospatial_lon_resolution 0.08333334105116925; String geospatial_lon_units "degrees_east"; String history "Tue Dec 28 11:08:43 2021: ncatted -a ,global,d,, /work/opa/das/Ree/EMOD-PACE/WP5/data_mod/trend/deseasonalized_mm_199301_201912_MERCATOR--ASLV-GLORYS12v1-GLO.nc 2024-09-07T23:52:52Z (local files) 2024-09-07T23:52:52Z https://erddap.emodnet-physics.eu/erddap/griddap/EMODNET_CMCC_ASLV_GLORYS12v1_GLO_MEAN_DESEASONALIZED.das"; String infoUrl "https://www.ec.gc.ca/scitech/default.asp?lang=En&n=61B33C26-1#cmc"; String institution "Canadian Meteorological Centre"; String keywords "above, canadian, centre, data, earth, Earth Science > Oceans > Sea Surface Topography > Sea Surface Height, Earth Science > Solid Earth > Geodetics/Gravity > Geoid Properties, geodetics, geoid, gravity, height, latitude, local, longitude, meteorological, ocean, oceans, properties, science, sea, sea_surface_height_above_geoid, solid, source, surface, time, topography, zos"; String keywords_vocabulary "GCMD Science Keywords"; String license "Creative Commons Attribution Share-Alike http://www.opendefinition.org/licenses/cc-by-sa"; String NCO "netCDF Operators version 4.9.3 (Homepage = http://nco.sf.net, Code = https://github.com/nco/nco)"; Float64 Northernmost_Northing 90.0; String sourceUrl "(local files)"; Float64 Southernmost_Northing -80.0; String standard_name_vocabulary "CF Standard Name Table v70"; String summary "Deseasonalized Monthly mean for product CMCC_ASLV_GLORYS12v1_GLO"; String time_coverage_end "2019-12-16T12:00:00Z"; String time_coverage_start "1993-01-16T12:00:00Z"; String title "Deseasonalized Monthly mean for product CMCC_ASLV_GLORYS12v1_GLO"; Float64 Westernmost_Easting -180.0; } }
The URL specifies what you want: the dataset, a description of the graph or the subset of the data, and the file type for the response.
griddap request URLs must be in the form
https://coastwatch.pfeg.noaa.gov/erddap/griddap/datasetID.fileType{?query}
For example,
https://coastwatch.pfeg.noaa.gov/erddap/griddap/jplMURSST41.htmlTable?analysed_sst[(2002-06-01T09:00:00Z)][(-89.99):1000:(89.99)][(-179.99):1000:(180.0)]
Thus, the query is often a data variable name (e.g., analysed_sst),
followed by [(start):stride:(stop)]
(or a shorter variation of that) for each of the variable's dimensions
(for example, [time][latitude][longitude]).
For details, see the griddap Documentation.