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ERDDAP > griddap > Make A Graph ?

Dataset Title:  Daily merged sea surface height anomalies from altimetry [time][latitude][
longitude]
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Institution:  NOAA/NESDIS Center for Satellite Applications and Research   (Dataset ID: noaa_nesdis_star_SLA)
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 1.42128e+9, 1.713312e+9;
    String axis "T";
    String bounds "time_bnds";
    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";
    Float32 actual_range -89.875, 89.875;
    String axis "Y";
    String bounds "lat_bnds";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
    Float32 valid_max 89.875;
    Float32 valid_min -89.875;
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 actual_range -179.875, 179.875;
    String axis "X";
    String bounds "lon_bnds";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
    Float32 valid_max 179.875;
    Float32 valid_min -179.875;
  }
  sla {
    Int32 _ChunkSizes 1, 720, 1440;
    Float64 _FillValue -3.2767;
    Float64 colorBarMaximum 2.0;
    Float64 colorBarMinimum -2.0;
    String comment "The sea level anomaly is referenced using the DTU15 mean sea surface height";
    String coordinates "longitude latitude";
    String grid_mapping "crs";
    String ioos_category "Sea Level";
    String long_name "Sea Level Anomalies";
    Float64 missing_value -3.2767;
    String standard_name "sea_surface_height_above_sea_level";
    String units "m";
    Float64 valid_max 1.2591;
    Float64 valid_min -1.1427;
  }
  NC_GLOBAL {
    String cdm_data_type "Grid";
    String Conventions "CF-1.6, COARDS, Unidata Dataset Discovery v1.0";
    String creator_email "Eric.Leuliette@noaa.gov";
    String creator_name "Eric.Leuliette@noaa.gov";
    String cw%3aprocessing_algorithm "RADS 4.6.2";
    String cw%3aproduct_status "Experimental";
    String cw%3asatellite 
"SARAL
Jason-3
Sentinel-3A
Sentinel-3B";
    String cw%3atime 
"27124
27125
27126
27127
27128
27129
27130
27131
27132
27133";
    String date_created "2024-04-17T13:06:27Z";
    String date_modified "2024-04-17T13:06:27Z";
    Float64 Easternmost_Easting 179.875;
    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 
"Altimetry measurements
2024-04-19T01:42:53Z https://www.star.nesdis.noaa.gov/thredds/dodsC/AltimetryBlendedAggGlobalLoM
2024-04-19T01:42:53Z http://cwcgom.aoml.noaa.gov:8080/griddap/noaa_nesdis_star_SLA.das";
    String infoUrl "https://www.star.nesdis.noaa.gov/thredds/dodsC/AltimetryBlendedAggGlobalLoM.html";
    String institution "NOAA/NESDIS Center for Satellite Applications and Research";
    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 Metadata_Conventions "CF-1.6, COARDS, Unidata Dataset Discovery v1.0";
    String ncei_template_version "NCEI_NetCDF_Grid_Template_v2.0";
    Float64 Northernmost_Northing 89.875;
    String source "Altimetry measurements";
    String sourceUrl "https://www.star.nesdis.noaa.gov/thredds/dodsC/AltimetryBlendedAggGlobalLoM";
    Float64 Southernmost_Northing -89.875;
    String standard_name_vocabulary "CF-12";
    String summary "Daily merged sea surface height anomalies from altimetry";
    String time_coverage_end "2024-04-17T00:00:00Z";
    String time_coverage_start "2015-01-15T00:00:00Z";
    String title "Daily merged sea surface height anomalies from altimetry [time][latitude][longitude]";
    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://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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