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Dataset Title:  Mediterranean SST Analysis, L4, 1km daily (SST_MED_SST_L4_NRT_OBSERVATIONS_010_
004_c_V2)
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Institution:  GOS   (Dataset ID: 2022_faf5_8c0a_2367)
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Files | Make a graph
 
Dimensions ? Start ? Stride ? Stop ?  Size ?    Spacing ?
 time (UTC) ?      365    1 day (even)
  < slider >
 latitude (degrees_north) ?      1890    0.00833333 (even)
  < slider >
 longitude (degrees_east) ?      6525    0.008333332 (uneven)
  < 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 {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.6409952e+9, 1.6724448e+9;
    String axis "T";
    String calendar "Gregorian";
    String comment "Nominal time of Level 4 analysis";
    String ioos_category "Time";
    String long_name "reference time of sst field";
    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 30.25417, 45.99583;
    String axis "Y";
    String comment "geographical coordinates, WGS84 projection";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
    Float32 valid_max 47.0;
    Float32 valid_min 29.0;
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 actual_range -18.12083, 36.24583;
    String axis "X";
    String comment "geographical coordinates, WGS84 projection";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
    Float32 valid_max 40.0;
    Float32 valid_min -20.0;
  }
  analysed_sst {
    Float32 _FillValue -327.68;
    String comment "Optimal interpolation (OI) at Ultrahigh resolution of sst measurements from infrared sensors";
    String ioos_category "Temperature";
    String long_name "analysed sea surface temperature";
    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 standard_name "sea_surface_temperature";
    String type "foundation";
    String units "degree_C";
    Float32 valid_max 44.999992;
    Float32 valid_min -3.0000062;
  }
  NC_GLOBAL {
    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 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-1.6, COARDS, ACDD-1.3";
    String creator_email "gsdk@artov.ismar.cnr.it";
    String creator_name "ISMAR - Institute of Marine Sciences (CNR - Rome)";
    String creator_type "institution";
    String creator_url "http://gosweb.artov.isac.cnr.it/";
    String date_created "2022-04-11T12:10:12Z";
    String DSD_entry_id "-GOS-L4UHRfnd-MED";
    Float64 Easternmost_Easting 36.24583;
    String gds_version_id "v2.0.5";
    Float64 geospatial_lat_max 45.99583;
    Float64 geospatial_lat_min 30.25417;
    Float64 geospatial_lat_resolution 0.008333329804129168;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 36.24583;
    Float64 geospatial_lon_min -18.12083;
    String geospatial_lon_units "degrees_east";
    String history 
"GOS-MYO processor V3: new version
2024-09-19T15:42:06Z (local files)
2024-09-19T15:42:06Z https://erddap.cmcc-opa.eu/erddap/griddap/2022_faf5_8c0a_2367.das";
    String id "OISST_UHR_NRT-GOS-L4-MED-v1.0";
    String infoUrl "http://gosweb.artov.isac.cnr.it/";
    String institution "GOS";
    String keywords "1km, analysed, analysed_sst, analysis, analysis_error, area, binary, composite, cryosphere, daily, data, day, deviation, distribution, earth, Earth Science > Cryosphere > Sea Ice > Ice Extent, Earth Science > Oceans > Ocean Temperature > Sea Surface Temperature, Earth Science > Oceans > Sea Ice > Ice Extent, error, estimated, extent, field, fraction, gos, ice, ice distribution, infrared, L4, lake, land, land_binary_mask, mask, med, mediterranean, near, nrt, observations, ocean, oceans, real, science, sea, sea/land/lake/ice, sea_ice_area_fraction, sea_ice_fraction, sea_surface_temperature, sst, standard, statistics, surface, temperature, time";
    String keywords_vocabulary "GCMD Science Keywords";
    String license "free registration at Copernicus Marine Service (http://marine.copernicus.eu/web/56-user-registration-form.php)";
    String metadata_link "Link to collection metadata record at archive";
    String naming_authority "org.ghrsst";
    Float64 Northernmost_Northing 45.99583;
    String platform "Envisat, NOAA-18, MetOpA, Aqua, Terra, MSG1, MetOpB, SUOMI-NPP, Meteosat11, Sentinel 3A, Sentinel 3B, NOAA-20";
    String processing_level "L4";
    String product_version "1.1";
    String project "Copernicus Marine Service";
    String publisher_email "servicedesk.cmems@mercator-ocean.eu, gsdk@artov.ismar.cnr.it";
    String publisher_name "CNR ISMAR GOS - WITS Copernicus Marine Service";
    String publisher_type "institution";
    String publisher_url "http://marine.copernicus.eu/";
    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 sensor "AATSR, SEVIRI, AVHRR, MODIS, VIIRS, SLSTR";
    String software_version "Copernicus Marine Service UHR L4 Processor V.1";
    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 30.25417;
    String spatial_resolution "0.01 degree";
    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 "2022-12-31T00:00:00Z";
    String time_coverage_start "2022-01-01T00:00:00Z";
    String title "Mediterranean SST Analysis, L4, 1km daily (SST_MED_SST_L4_NRT_OBSERVATIONS_010_004_c_V2)";
    Float64 Westernmost_Easting -18.12083;
  }
}

 

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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