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ERDDAP > griddap > Make A Graph ?

Dataset Title:  Daily MUR SST, Final product (MUR-JPL-L4-GLOB-v4.1) Subscribe RSS
Institution:  Jet Propulsion Laboratory   (Dataset ID: nasa_jpl_28d8_bd66_24b1)
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 1.022922e+9, 1.5192036e+9;
    String axis "T";
    String comment "Nominal time of analyzed fields";
    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 -89.99, 89.99;
    String axis "Y";
    String comment "none";
    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 -179.99, 180.0;
    String axis "X";
    String comment "none";
    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 -7.768000000000001;
    Float64 colorBarMaximum 32.0;
    Float64 colorBarMinimum 0.0;
    String comment "\"Final\" version using Multi-Resolution Variational Analysis (MRVA) method for interpolation";
    String ioos_category "Temperature";
    String long_name "analysed sea surface temperature";
    String source "AMSRE-REMSS, AVHRR_Pathfinder-PFV5.2-NODC_day, AVHRR_Pathfinder-PFV5.2-NODC_night, MODIS_A-JPL, MODIS_T-JPL, iQUAM-NOAA/NESDIS, Ice_Conc-OSISAF";
    String standard_name "sea_surface_foundation_temperature";
    String units "degree_C";
    Float64 valid_max NaN;
    Float64 valid_min -7.767000000000003;
  }
  analysis_error {
    Float64 _FillValue -327.68;
    Float64 colorBarMaximum 5.0;
    Float64 colorBarMinimum 0.0;
    String comment "none";
    String ioos_category "Statistics";
    String long_name "estimated error standard deviation of analysed_sst";
    String units "degree_C";
    Float64 valid_max NaN;
    Float64 valid_min 0.0;
  }
  mask {
    Byte _FillValue -128;
    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 "1=open-sea, 2=land, 5=open-lake, 9=open-sea with ice in the grid, 13=open-lake with ice in the grid";
    Byte flag_values 1, 2, 5, 9, 13;
    String ioos_category "Identifier";
    String long_name "sea/land field composite mask";
    String source "GMT \"grdlandmask\", ice flag from sea_ice_fraction data";
    String standard_name "land_binary_mask";
    Byte valid_max 31;
    Byte valid_min 1;
  }
  sea_ice_fraction {
    Float64 _FillValue -1.28;
    Float64 colorBarMaximum 1.0;
    Float64 colorBarMinimum 0.0;
    String comment "ice data interpolated by a nearest neighbor approach.";
    String ioos_category "Ice Distribution";
    String long_name "sea ice area fraction";
    String source "EUMETSAT OSI-SAF, copyright EUMETSAT";
    String standard_name "sea ice area fraction";
    String units "fraction (between 0 and 1)";
    Float64 valid_max 1.0;
    Float64 valid_min 0.0;
  }
  NC_GLOBAL {
    String acknowledgment "Please acknowledge the use of these data with the following statement:  These data were provided by JPL under support by NASA MEaSUREs program.";
    String cdm_data_type "Grid";
    String comment "MUR = \"Multi-scale Ultra-high Reolution\"";
    String Conventions "CF-1.6, COARDS, ACDD-1.3";
    String creator_email "ghrsst@podaac.jpl.nasa.gov";
    String creator_name "JPL MUR SST project";
    String creator_url "https://mur.jpl.nasa.gov";
    String date_created "2015-08-18T00:13:54Z";
    Float64 Easternmost_Easting 180.0;
    String file_quality_level "1";
    Float64 geospatial_lat_max 89.99;
    Float64 geospatial_lat_min -89.99;
    Float64 geospatial_lat_resolution 0.01;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 180.0;
    Float64 geospatial_lon_min -179.99;
    Float64 geospatial_lon_resolution 0.01;
    String geospatial_lon_units "degrees_east";
    String history 
"created at nominal 4-day latency; replaced nrt (1-day latency) version.
2018-02-23T08:18:15Z https://thredds.jpl.nasa.gov/thredds/dodsC/OceanTemperature/MUR-JPL-L4-GLOB-v4.1.nc
2018-02-23T08:18:15Z http://upwell.pfeg.noaa.gov/griddap/nasa_jpl_28d8_bd66_24b1.das";
    String id "MUR-JPL-L4-GLOB-v04.1";
    String infoUrl "https://podaac.jpl.nasa.gov/dataset/MUR-JPL-L4-GLOB-v04.1";
    String institution "Jet Propulsion Laboratory";
    String keywords "analysed, analysed_sst, analysis_error, area, binary, composite, daily, data, day, deviation, distribution, Earth Science > Oceans > Ocean Temperature > Sea Surface Temperature, error, estimated, field, final, foundation, fraction, glob, global, high, ice, ice distribution, identifier, jet, jpl, laboratory, land, land_binary_mask, mask, multi, multi-scale, mur, mur-jpl-l4-glob-v4.1, ocean, oceans, product, propulsion, resolution, scale, sea, sea ice area fraction, sea/land, sea_ice_fraction, sea_surface_foundation_temperature, sst, standard, statistics, surface, temperature, time, ultra, ultra-high, v4.1";
    String keywords_vocabulary "GCMD Science Keywords";
    String license "These data are available free of charge under data policy of JPL PO.DAAC.";
    String metadata_link "https://podaac.jpl.nasa.gov/ws/metadata/dataset/?format=iso&shortName=MUR-JPL-L4-GLOB-v04.1";
    String MUR_JPL_L4_GLOB_v4_1_Documentation "https://podaac.jpl.nasa.gov/dataset/MUR-JPL-L4-GLOB-v4.1";
    String naming_authority "org.ghrsst";
    String netcdf_version_id "4.1";
    Float64 Northernmost_Northing 89.99;
    String platform "Aqua, DMSP, NOAA-POES, Suomi-NPP, Terra";
    String processing_level "L4";
    String product_version "04.1";
    String project "NASA Making Earth Science Data Records for Use in Research Environments (MEaSUREs) Program";
    String publisher_email "ghrsst-po@nceo.ac.uk";
    String publisher_name "GHRSST Project Office";
    String publisher_url "https://www.ghrsst.org";
    String references "https://podaac.jpl.nasa.gov/Multi-scale_Ultra-high_Resolution_MUR-SST";
    String sensor "AMSR-E, AVHRR, MODIS, SSM/I, VIIRS, in-situ";
    String source "AMSRE-REMSS, AVHRR_Pathfinder-PFV5.2-NODC_day, AVHRR_Pathfinder-PFV5.2-NODC_night, MODIS_A-JPL, MODIS_T-JPL, iQUAM-NOAA/NESDIS, Ice_Conc-OSISAF";
    String sourceUrl "https://thredds.jpl.nasa.gov/thredds/dodsC/OceanTemperature/MUR-JPL-L4-GLOB-v4.1.nc";
    Float64 Southernmost_Northing -89.99;
    String spatial_resolution "0.01 degrees";
    String standard_name_vocabulary "CF Standard Name Table v29";
    String summary "Daily Multi-scale Ultra-high Resolution (MUR) Sea Surface Temperature (SST), Final product. A merged, multi-sensor L4 Foundation SST analysis product from Jet Propulsion Laboratory (JPL). (MUR-JPL-L4-GLOB-v4.1)";
    String time_coverage_end "2018-02-21T09:00:00Z";
    String time_coverage_start "2002-06-01T09:00:00Z";
    String title "Daily MUR SST, Final product (MUR-JPL-L4-GLOB-v4.1)";
    String uuid "27665bc0-d5fc-11e1-9b23-0800200c9a66";
    Float64 Westernmost_Easting -179.99;
  }
}

 

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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