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Dataset Title:  CMEMS SatSST: Mediterranean SST Analysis, L4, 1km daily (SST_MED_SST_L4_NRT_
OBSERVATIONS_010_004_c_V2)
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Institution:  GOS (Global Ocean Satellite monitoring and marine ecosystem study)   (Dataset ID: last30DaysMerged_a734_1319_25d1)
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Files | Make a graph
 
Dimensions ? Start ? Stride ? Stop ?  Size ?    Spacing ?
 time (UTC) ?      21    1 day (even)
  < slider >
 latitude (degrees_north) ?      744    1.0 (even)
  < slider >
 longitude (degrees_east) ?      540    1.0 (even)
  < slider >
 
Grid Variables (which always also download all of the dimension variables) 
 analysed_sst (analysed sea surface temperature, degree_C) ?

File type: (more information)

(Documentation / Bypass this form) ?
 
(Please be patient. It may take a while to get the data.)


 

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
  time {
    UInt32 _ChunkSizes 512;
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.7726688e+9, 1.7743968e+9;
    String axis "T";
    String calendar "gregorian";
    String ioos_category "Time";
    String long_name "Time";
    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";
    Int16 actual_range 0, 743;
    String axis "Y";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Int16 actual_range 0, 539;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  analysed_sst {
    UInt32 _ChunkSizes 1, 744, 540;
    Float32 _FillValue -327.68;
    Float64 colorBarMaximum 32.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Temperature";
    String long_name "analysed sea surface temperature";
    Float32 missing_value -327.68;
    String standard_name "sea_surface_foundation_temperature";
    String units "degree_C";
  }
  NC_GLOBAL {
    String _NCProperties "version=2,netcdf=4.8.1,hdf5=1.10.7";
    String acknowledgement "Please acknowledge the use of these data with the following statement: Generated/provided by Copernicus Marine Service and CNR - ISMAR ROME. We would also appreciate being informed of any publications.";
    String CDI "Climate Data Interface version 2.0.4 (https://mpimet.mpg.de/cdi)";
    String cdm_data_type "Grid";
    String comment "WARNING: some applications are unable to properly handle byte values. If Values >127 are encounterd, please subtract 256";
    String Conventions "CF-1.10, COARDS, ACDD-1.3";
    String copernicusmarine_version "2.1.1";
    String creator_type "institution";
    String date_created "2023-07-19T09:15:35Z";
    Float64 Easternmost_Easting 539.0;
    Float64 geospatial_lat_max 743.0;
    Float64 geospatial_lat_min 0.0;
    Float64 geospatial_lat_resolution 1.0;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 539.0;
    Float64 geospatial_lon_min 0.0;
    Float64 geospatial_lon_resolution 1.0;
    String geospatial_lon_units "degrees_east";
    String history 
"Fri Aug 11 11:53:29 2023: ncatted -a history,global,d,, /services/DataRollingCatalog/data/last30DaysMerged/SatSST.nc
Translated to CF-1.0 Conventions by Netcdf-Java CDM (CFGridWriter2)
Original Dataset = SST_MED_SST_L4_NRT_OBSERVATIONS_010_004_c_V2; Translation Date = 2023-07-20T05:13:50.319Z
2026-04-06T05:53:54Z (local files)
2026-04-06T05:53:54Z https://data-omrg.research.um.edu.mt/erddap/griddap/last30DaysMerged_a734_1319_25d1.das";
    String infoUrl "http://gosweb.artov.isac.cnr.it/";
    String institution "GOS (Global Ocean Satellite monitoring and marine ecosystem study)";
    String keywords "1km, analysed, analysed_sst, analysis, cmems, daily, data, day, earth, Earth Science > Oceans > Ocean Temperature > Sea Surface Temperature, gos, infrared, L4, med, mediterranean, near, nrt, observations, ocean, oceans, real, satsst, science, sea, sea_surface_temperature, sst, surface, temperature, time";
    String keywords_vocabulary "GCMD Science Keywords";
    String license 
"The data may be used and redistributed for free but is not intended
for legal use, since it may contain inaccuracies. Neither the data
Contributor, ERD, NOAA, nor the United States Government, nor any
of their employees or contractors, makes any warranty, express or
implied, including warranties of merchantability and fitness for a
particular purpose, or assumes any legal liability for the accuracy,
completeness, or usefulness, of this information.";
    String NCO "netCDF Operators version 5.0.6 (Homepage = http://nco.sf.net, Code = https://github.com/nco/nco)";
    Float64 Northernmost_Northing 743.0;
    String publisher_type "institution";
    String references "Buongiorno Nardelli, B., C. Tronconi, a. Pisano, and R. Santoleri, 2013: High and Ultra-High resolution processing of satellite Sea Surface Temperature data over Southern European Seas in the framework of MyOcean project. /Remote Sens. Environ./, *129*, 1-16, doi:10.1016/j.rse.2012.10.012. AND Buongiorno Nardelli, B., a. Pisano, C. Tronconi, and R. Santoleri, 2015: Evaluation of different covariance models for the operational interpolation of high resolution satellite Sea Surface Temperature data over the Mediterranean Sea. /Remote Sens. Environ./, doi:10.1016/j.rse.2015.04.025.";
    String source "EUR-L2P-ATS_NR_2P, UPA-L2P-ATS_NR_2P, JPL-L2P-MODIS_A, JPL-L2P-MODIS_T, EUR-L2P-NAR17_SST, EUR-L2P-NAR18_SST, EUR-L2P-SEVIRI_SST, EUR-L2P-AVHRR_METOP_A, EUR-L2P-AVHRR_METOP_B, NAVO-L2P-VIIRS_NPP, EUR-L2P-SEVIRI_SST_Meteosat11, MAR-L2P-SLSTR_S3A ,MAR-L2P-SLSTR_S3B, STAR-L2P-VIIRS_N20-ACSPO_V2.80";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 0.0;
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary "Daily gap-free maps (L4) at 1/100deg. x 1/100deg. horizontal resolution over the Mediterranean Sea.The data are obtained from infra-red measurements collected by satellite radiometers and statistical interpolation.It is the Copernicus sea surface temperature nominal operational product for the Mediterranean Sea in Near Real Time (NRT) mode.";
    String testOutOfDate "now-3days";
    String time_coverage_end "2026-03-25T00:00:00Z";
    String time_coverage_start "2026-03-05T00:00:00Z";
    String title "CMEMS SatSST: Mediterranean SST Analysis, L4, 1km daily (SST_MED_SST_L4_NRT_OBSERVATIONS_010_004_c_V2)";
    Float64 Westernmost_Easting 0.0;
  }
}

 

Using griddap to Request Data and Graphs from Gridded Datasets

griddap lets you request a data subset, graph, or map from a gridded dataset (for example, sea surface temperature data from a satellite), via a specially formed URL. griddap uses the OPeNDAP (external link) Data Access Protocol (DAP) (external link) and its projection constraints (external link).

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.


 
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