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ERDDAP > griddap > Make A Graph ?

Dataset Title:  BLUElink Global Australian Multi-Sensor SST Analysis (GAMSSA), daily, 1/4
degree resolution
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Institution:  Australian Bureau of Meteorology   (Dataset ID: nasa_jpl_6b8d_ad72_0c98)
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";
    Int32 _FillValue -2147483647;
    Float64 actual_range 1.2195792e+9, 1.5232752e+9;
    String axis "T";
    String calendar "Gregorian";
    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 _FillValue 9.96921e+36;
    Float32 actual_range -89.875, 89.875;
    String axis "Y";
    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 _FillValue 9.96921e+36;
    Float32 actual_range -179.875, 179.875;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
    Float32 valid_max 180.0;
    Float32 valid_min -180.0;
  }
  analysed_sst {
    Float64 _FillValue -327.68;
    Float64 colorBarMaximum 32.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Temperature";
    String long_name "analysed sea surface temperature";
    String standard_name "sea_surface_temperature";
    String type "foundation";
    String units "degree_C";
    Float64 valid_max 45.0;
    Float64 valid_min -3.0;
  }
  analysis_error {
    Float64 _FillValue -327.68;
    Float64 colorBarMaximum 5.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Statistics";
    String long_name "estimated error standard deviation of analysed_sst";
    String units "degree_C";
    Float64 valid_max 327.67;
    Float64 valid_min 0.0;
  }
  sea_ice_fraction {
    Float64 _FillValue -1.28;
    Float64 colorBarMaximum 1.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Ice Distribution";
    String long_name "sea ice area fraction";
    String source "NCEP_ICE";
    String standard_name "sea_ice_area_fraction";
    String units "none (fraction)";
    Float64 valid_max 1.0;
    Float64 valid_min 0.0;
  }
  mask {
    Byte _FillValue -128;
    String _Unsigned "false";
    Float64 colorBarMaximum 150.0;
    Float64 colorBarMinimum 0.0;
    String comment "b0: 1=grid cell is open sea water. b1: 1=land is present in this grid cell. b2: 1=lake surface is present in this grid cell. b3: 1=sea ice is present in this grid cell. b4-b7: reserved for future grid mask data.";
    String ioos_category "Ice Distribution";
    String long_name "sea/land/lake/ice field composite mask";
    String standard_name "land_binary_mask";
  }
  NC_GLOBAL {
    String cdm_data_type "Grid";
    String comment "This is a BLUElink> Ocean Forecasting Australia Project research product run operationally at the Bureau of Meteorology. WARNING: some applications are unable to properly handle signed byte values. If byte values >127 are encountered, subtract 256 from this reported value.";
    String contact "ghrsst@bom.gov.au";
    String Conventions "CF-1.6, COARDS, ACDD-1.3";
    String creator_email "ghrsst@bom.gov.au";
    String creator_name "GHRSST";
    String creator_url "http://wp.csiro.au/bluelink/";
    String DSD_entry_id "ABOM-L4LRfnd-GLOB-GAMSSA_28km";
    Float64 Easternmost_Easting 179.875;
    String file_quality_index "1";
    Float64 geospatial_lat_max 89.875;
    Float64 geospatial_lat_min -89.875;
    Float64 geospatial_lat_resolution 0.25;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 179.875;
    Float64 geospatial_lon_min -179.875;
    Float64 geospatial_lon_resolution 0.25;
    String geospatial_lon_units "degrees_east";
    String history 
"2011/07/05 04:17:11 +00 : /rtop/bin/ocean/sstanal/uarch2ghrsst.x foundSSTanal.04Jul2011.Global
2018-04-27T03:00:28Z https://thredds.jpl.nasa.gov/thredds/dodsC/ncml_aggregation/OceanTemperature/ghrsst/aggregate__ghrsst_ABOM-L4LRfnd-GLOB-GAMSSA_28km.ncml
2018-04-27T03:00:28Z http://upwell.pfeg.noaa.gov/griddap/nasa_jpl_6b8d_ad72_0c98.das";
    String infoUrl "http://www.bom.gov.au/bmrc/ocean/BLUElink/SST/GAMSSA";
    String institution "Australian Bureau of Meteorology";
    String keywords "abom, analysed, analysed_sst, analysis, analysis_error, area, australia, australian, binary, bluelink, bom, bureau, composite, cryosphere, daily, data, day, degree, 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, fraction, gamssa, ghrsst, global, high, high-resolution, ice, ice distribution, lake, land, land_binary_mask, mask, meteorology, multi, multi-sensor, ocean, oceans, resolution, sea, sea/land/lake/ice, sea_ice_area_fraction, sea_ice_fraction, sea_surface_temperature, sensor, sst, standard, statistics, 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 netcdf_version_id "3.6.0";
    Float64 Northernmost_Northing 89.875;
    String product_version "fv01";
    String references "http://www.bom.gov.au/bmrc/ocean/BLUElink/SST/GAMSSA BoM Operational Bulletin 77.pdf";
    String source_data "ATS_MET_2P-ESA,AMSRE-REMSS,AVHRR18_G-NAVO,AVHRR_METOPA_G-NAVO,IN_SITU-GTS_BUOYS,IN_SITU-GTS_SHIP,GASP-WSP, NCEP-ICE";
    String sourceUrl "https://thredds.jpl.nasa.gov/thredds/dodsC/ncml_aggregation/OceanTemperature/ghrsst/aggregate__ghrsst_ABOM-L4LRfnd-GLOB-GAMSSA_28km.ncml";
    Float64 Southernmost_Northing -89.875;
    String spatial_resolution "1/4 degree";
    String standard_name_vocabulary "CF Standard Name Table v29";
    String summary "This is a BLUElink> Ocean Forecasting Australia Project research product run operationally at the Bureau of Meteorology. WARNING: some applications are unable to properly handle signed byte values. If byte values >127 are encountered, subtract 256 from this reported value. (Global High-Resolution Sea Surface Temperature (GHRSST) Australia Bureau of Meteorology (ABOM)-L4LRfnd-GLOB-Global Australian Multi-Sensor SST Analysis (GAMSSA) 28km)";
    String time_coverage_end "2018-04-09T12:00:00Z";
    String time_coverage_start "2008-08-24T12:00:00Z";
    String title "BLUElink Global Australian Multi-Sensor SST Analysis (GAMSSA), daily, 1/4 degree resolution";
    Float64 Westernmost_Easting -179.875;
  }
}

 

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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