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ERDDAP > griddap > Make A Graph ?

Dataset Title:  CMC 0.2 deg global SST analysis (CMC0.2deg-CMC-L4-GLOB-v2.0) Subscribe RSS
Institution:  CMC   (Dataset ID: nasa_jpl_8a77_333a_af12)
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Data Access Form
 
Graph Type:  ?
X Axis:  ?
Y Axis:  ?
Color:  ?
 
Dimensions ?    Start ?    Stop ?
time (UTC) ?     specify just 1 value →
    << -
< <
latitude (degrees_north) ?
    +
    -
< slider >
longitude (degrees_east) ?
    +
    -
< slider >
 
Graph Settings
Color Bar:   Continuity:   Scale: 
   Minimum:   Maximum:   N Sections: 
Draw land mask: 
Y Axis Minimum:   Maximum:   Ascending: 
 
(Please be patient. It may take a while to get the data.)
 
Optional:
Then set the File Type: (File Type information)
and
or view the URL:
(Documentation / Bypass this form ? )
    Click on the map to specify a new center point. ?
Zoom:
[The graph you specified. Please be patient.]

 

Things You Can Do With Your Graphs

Well, you can do anything you want with your graphs, of course. But some things you might not have considered are:

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 6.837264e+8, 1.489752e+9;
    String axis "T";
    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 -90.0, 90.0;
    String axis "Y";
    String comment "Latitude geographical coordinates,WGS84 projection";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
    Float32 valid_max 90.0;
    Float32 valid_min -90.0;
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 actual_range -180.0, 179.8;
    String axis "X";
    String comment "Longitude geographical coordinates,WGS84 projection";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
    Float32 valid_max 179.8;
    Float32 valid_min -180.0;
  }
  analysed_sst {
    Float32 _FillValue -327.68;
    Float64 colorBarMaximum 32.0;
    Float64 colorBarMinimum 0.0;
    String comment "SST defined at all grid points but no physical meaning is ascribed to values over land";
    String ioos_category "Temperature";
    String long_name "analysed sea surface temperature";
    String source "EUR-L2P-ATS_NR_2P,REMSS-L2P-TMI,AVHRR16_G-NAVO,IN_SITU-ICOADS_BUOYS,IN_SITU-ICOADS_SHIP,ICE-CMC";
    String standard_name "sea_surface_foundation_temperature";
    String units "degree_C";
    Float32 valid_max 39.999992;
    Float32 valid_min -2.0000062;
  }
  analysis_error {
    Float32 _FillValue -327.68;
    Float64 colorBarMaximum 5.0;
    Float64 colorBarMinimum 0.0;
    String comment "Error defined at all grid points but no meaning is ascribed to values over land";
    String ioos_category "Statistics";
    String long_name "estimated error standard deviation of analysed_sst";
    String units "degree_C";
    Float32 valid_max NaN;
    Float32 valid_min 0.0;
  }
  sea_ice_fraction {
    Float32 _FillValue -0.01;
    Float64 colorBarMaximum 100.0;
    Float64 colorBarMinimum 0.0;
    String comment "Sea ice area fraction. No meaning is ascribed to values over land";
    String ioos_category "Ice Distribution";
    String long_name "sea ice area fraction";
    String source "DMSP-F15,DMSP-F14";
    String standard_name "sea_ice_area_fraction";
    String units "1";
    Float32 valid_max 1.0;
    Float32 valid_min 0.0;
  }
  mask {
    Byte _FillValue -1;
    String _Unsigned "false";
    Float64 colorBarMaximum 20.0;
    Float64 colorBarMinimum 0.0;
    String comment "Mask can be used to further filter the data";
    Byte flag_masks 1, 2, 4, 8, 16;
    String flag_meanings "water land optional_lake_surface sea_ice optional_river_surface";
    String ioos_category "Ice Distribution";
    String long_name "sea/land/lake/ice field composite mask";
    String source "NAVOCEANO_landmask_v1.0 CMC_icemask";
    String standard_name "land_binary_mask";
    Byte valid_max 31;
    Byte valid_min 0;
  }
  NC_GLOBAL {
    String acknowledgment "Please acknowledge the use of these data with the following statement: These data were provided by GHRSST and Environment Canada";
    String cdm_data_type "Grid";
    String comment "WARNING Some applications are unable to properly handle signed byte values. If values are encountered > 127, please subtract 256 from this reported value";
    String Conventions "CF-1.6, COARDS, ACDD-1.3";
    String creator_email "Bruce.Brasnett@ec.gc.ca";
    String creator_name "Bruce Brasnett, Environment Canada";
    String creator_url "https://www.ec.gc.ca/scitech/default.asp?lang=En&n=61B33C26-1#cmc";
    String date_created "2013-10-04T11:42:59Z";
    Float64 Easternmost_Easting 179.8;
    Int32 file_quality_level 3;
    Float64 geospatial_lat_max 90.0;
    Float64 geospatial_lat_min -90.0;
    Float64 geospatial_lat_resolution 0.2;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 179.8;
    Float64 geospatial_lon_min -180.0;
    Float64 geospatial_lon_resolution 0.2;
    String geospatial_lon_units "degrees_east";
    String history 
"Processed through sfc.thin_sst, sfc.sstobs, intbias, OI suite, write_L4
2018-07-22T03:22:48Z https://thredds.jpl.nasa.gov/thredds/dodsC/OceanTemperature/CMC0.2deg-CMC-L4-GLOB-v2.0.nc
2018-07-22T03:22:48Z http://upwell.pfeg.noaa.gov/griddap/nasa_jpl_8a77_333a_af12.das";
    String http_podaac_jpl_nasa_gov_dataset_CMC0_2deg_CMC_L4_GLOB_v2_0_Documentation "https://podaac.jpl.nasa.gov/dataset/https://podaac.jpl.nasa.gov/dataset/CMC0.2deg-CMC-L4-GLOB-v2.0";
    String id "CMC0.2deg-CMC-L4-GLOB-v2.0";
    String infoUrl "https://podaac.jpl.nasa.gov/dataset/CMC0.2deg-CMC-L4-GLOB-v2.0";
    String institution "CMC";
    String keywords "analysed, analysed_sst, analysis, analysis_error, area, binary, canadian, centre, cmc, cmc0.2deg, cmc0.2deg-cmc-l4-glob-v2.0, composite, cryosphere, data, deviation, distribution, 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, foundation, fraction, glob, global, ice, ice distribution, lake, land, land_binary_mask, mask, meteorological, ocean, oceans, sea, sea/land/lake/ice, sea_ice_area_fraction, sea_ice_fraction, sea_surface_foundation_temperature, sst, standard, statistics, surface, temperature, time, v2.0";
    String keywords_vocabulary "GCMD Science Keywords";
    String license "GHRSST protocol describes data use as free and open";
    String metadata_link "https://podaac.jpl.nasa.gov/ws/metadata/dataset/?format=iso&shortName=CMC0.2deg-CMC-L4-GLOB-v2.0";
    String naming_authority "org.ghrsst";
    String netcdf_version_id "4.3.0";
    Float64 Northernmost_Northing 90.0;
    String platform "ERS-2,TRMM,NOAA-16";
    String processing_level "L4";
    String product_version "2.0";
    String project "Group for High Resolution Sea Surface Temperature";
    String publisher_email "ghrsst-po@nceo.ac.uk";
    String publisher_name "GHRSST Project Office";
    String publisher_url "https://www.ghrsst.org";
    String references "Brasnett B. 2008. The impact of satellite retrievals in a global sea-surface-temperature analysis. Q.J.R. Meteorol. Soc., 134, 1745-1760.  DOI: 10.1002/qj.319";
    String sensor "ATSR,TMI,AVHRR_GAC";
    String source "EUR-L2P-ATS_NR_2P,REMSS-L2P-TMI,AVHRR16_G-NAVO,IN_SITU-ICOADS_BUOYS,IN_SITU-ICOADS_SHIP,ICE-CMC";
    String sourceUrl "https://thredds.jpl.nasa.gov/thredds/dodsC/OceanTemperature/CMC0.2deg-CMC-L4-GLOB-v2.0.nc";
    Float64 Southernmost_Northing -90.0;
    String spatial_resolution "0.2 degree";
    String standard_name_vocabulary "CF Standard Name Table v55";
    String summary "Canadian Meteorological Centre (CMC) 0.2 deg global sea surface temperature analysis. Applies the method of statistical interpolation to assimilate observations from in situ and satellite sources using, as the background, the analysis valid 24 hours prior assuming persistence of the anomalies. (CMC0.2deg-CMC-L4-GLOB-v2.0)";
    String time_coverage_end "2017-03-17T12:00:00Z";
    String time_coverage_start "1991-09-01T12:00:00Z";
    String title "CMC 0.2 deg global SST analysis (CMC0.2deg-CMC-L4-GLOB-v2.0)";
    String uuid "67270ff2-25d7-4390-8bc1-fee0a6209243";
    Float64 Westernmost_Easting -180.0;
  }
}

 

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://upwell.pfeg.noaa.gov/erddap/griddap/datasetID.fileType{?query}
For example,
https://upwell.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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