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ERDDAP > griddap > Data Access Form ?

Dataset Title:  Data from a local source. Subscribe RSS
Institution:  ???   (Dataset ID: SNAP_JOHN_WALSH_SEA_ICE)
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Make a graph
 
Dimensions ? Start ? Stride ? Stop ?  Size ?    Spacing ?
 time (UTC) ?      2892    30 days 10h 29m 6s (uneven)
  < slider >
 latitude (degrees_north) ?      146    0.3949816 (even)
  < slider >
 longitude (degrees_east) ?      912    0.3947368 (even)
  < slider >
 
Grid Variables (which always also download all of the dimension variables)
 ACCESS_1_sea_ice_concentration (percent) ?
 CESM_CAM5_sea_ice_concentration (percent) ?
 CMCC_CM_sea_ice_concentration (percent) ?
 HAD_GEM2_AO_sea_ice_concentration (percent) ?
 MIROC_5_sea_ice_concentration (percent) ?

File type: (more info)

(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 -3.469968e+9, 4.1326272e+9;
    String axis "T";
    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";
    Float64 actual_range 29.294189583561643, 86.56651681643837;
    String axis "Y";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float64 actual_range 0.19736842105263158, 359.8026315789474;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  ACCESS_1_sea_ice_concentration {
    Byte _FillValue 127;
    Float64 colorBarMaximum 100.0;
    Float64 colorBarMinimum 0.0;
    String discriminant "access_1";
    String grid_mapping "crs";
    String ioos_category "Ice Distribution";
    String long_name "ACCESS-1_sea_ice_concentration";
    Byte missing_value 0;
    String standard_name "sea_ice_area_fraction";
    String units "percent";
  }
  CESM_CAM5_sea_ice_concentration {
    Byte _FillValue 127;
    Float64 colorBarMaximum 100.0;
    Float64 colorBarMinimum 0.0;
    String discriminant "cesm-cam5";
    String grid_mapping "crs";
    String ioos_category "Ice Distribution";
    String long_name "CESM-CAM5_sea_ice_concentration";
    Byte missing_value 0;
    String standard_name "sea_ice_area_fraction";
    String units "percent";
  }
  CMCC_CM_sea_ice_concentration {
    Byte _FillValue 127;
    Float64 colorBarMaximum 100.0;
    Float64 colorBarMinimum 0.0;
    String discriminant "cmcc-cm";
    String grid_mapping "crs";
    String ioos_category "Ice Distribution";
    String long_name "CMCC-CM_sea_ice_concentration";
    Byte missing_value 0;
    String standard_name "sea_ice_area_fraction";
    String units "percent";
  }
  HAD_GEM2_AO_sea_ice_concentration {
    Byte _FillValue 127;
    Float64 colorBarMaximum 100.0;
    Float64 colorBarMinimum 0.0;
    String discriminant "had-gem2-ao";
    String grid_mapping "crs";
    String ioos_category "Ice Distribution";
    String long_name "HAD-GEM2-AO_sea_ice_concentration";
    Byte missing_value 0;
    String standard_name "sea_ice_area_fraction";
    String units "percent";
  }
  MIROC_5_sea_ice_concentration {
    Byte _FillValue 127;
    Float64 colorBarMaximum 100.0;
    Float64 colorBarMinimum 0.0;
    String discriminant "miroc-5";
    String grid_mapping "crs";
    String ioos_category "Ice Distribution";
    String long_name "MIROC-5_sea_ice_concentration";
    Byte missing_value 0;
    String standard_name "sea_ice_area_fraction";
    String units "percent";
  }
  NC_GLOBAL {
    String _CoordSysBuilder "ucar.nc2.dataset.conv.CF1Convention";
    String cdm_data_type "Grid";
    String Conventions "CF-1.6, COARDS, Unidata Dataset Discovery v1.0";
    Float64 Easternmost_Easting 359.8026315789474;
    String GDAL "GDAL 1.9.0, released 2011/12/29";
    String GDAL_AREA_OR_POINT "Area";
    Float64 geospatial_lat_max 86.56651681643837;
    Float64 geospatial_lat_min 29.294189583561643;
    Float64 geospatial_lat_resolution 0.39498156712328775;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 359.8026315789474;
    Float64 geospatial_lon_min 0.19736842105263158;
    Float64 geospatial_lon_resolution 0.39473684210526316;
    String geospatial_lon_units "degrees_east";
    String history 
"Wed Nov 29 14:16:41 2017: ncks -d time,0,0 union.nc tmp_0000.nc
Tue Jan 21 11:30:35 2014: GDAL CreateCopy( /mnt/gluster/data/netCDF//snap/johnwalsh/sic/sic_con_pct_5_historical/ACCESS-1/sic_con_pct_AR5_ACCESS-1_historical_08_1860.nc, ... )
2018-02-25T02:04:34Z (local files)
2018-02-25T02:04:34Z http://erddap.axiomdatascience.com/erddap/griddap/SNAP_JOHN_WALSH_SEA_ICE.das";
    String infoUrl "???";
    String institution "???";
    String keywords "data, distribution, ice, ice distribution, local, source";
    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 NCO "4.4.2";
    Float64 Northernmost_Northing 86.56651681643837;
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 29.294189583561643;
    String standard_name_vocabulary "CF-12";
    String summary "Data from a local source.";
    String time_coverage_end "2100-12-16T08:00:00Z";
    String time_coverage_start "1860-01-16T08:00:00Z";
    String title "Data from a local source.";
    Float64 Westernmost_Easting 0.19736842105263158;
  }
}

 

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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