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ERDDAP > griddap > Make A Graph ?

Dataset Title:  SODA 3.3.1 Sea Ice Concentration, 1/2°, Global, 1980-2015, Monthly Composite,
Lon+/-180
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Institution:  University of Maryland   (Dataset ID: erdSoda331icemday_LonPM180)
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 →
    << -
< <
depth (m) ?     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 3.168288e+8, 1.450224e+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";
  }
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Float32 actual_range 0.0, 1.1;
    String axis "Z";
    String ioos_category "Location";
    String long_name "Depth";
    String positive "down";
    String standard_name "depth";
    String units "m";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range -74.75, 89.75;
    String axis "Y";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 actual_range -179.75, 179.75;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    Float32 modulo 360.0;
    String standard_name "longitude";
    String units "degrees_east";
  }
  cn {
    String cell_methods "time: mean ct: mean";
    Float64 colorBarMaximum 1.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Ice Distribution";
    String long_name "Sea Ice Concentration";
    Float32 missing_value NaN;
    String units "0-1";
  }
  NC_GLOBAL {
    String _CoordSysBuilder "ucar.nc2.dataset.conv.DefaultConvention";
    String acknowledgement "The SODA3 project is funded by the US National Science Foundation. Please cite: Carton, Chepurin, and Chen (2017)";
    String cdm_data_type "Grid";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    String Created_by "Gennady Chepurin and Ligang Chen";
    String creation_date "October, 2016";
    String creator_email "carton@atmos.umd.edu";
    String creator_name "James A. Carton";
    String creator_type "person";
    String creator_url "https://www.atmos.umd.edu/~ocean/";
    String defaultGraphQuery "cn[last][0][0:last][0:last]&.draw=surface&.vars=longitude|latitude|cn";
    Float64 Easternmost_Easting 179.75;
    Float64 geospatial_lat_max 89.75;
    Float64 geospatial_lat_min -74.75;
    Float64 geospatial_lat_resolution 0.5;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 179.75;
    Float64 geospatial_lon_min -179.75;
    Float64 geospatial_lon_resolution 0.5;
    String geospatial_lon_units "degrees_east";
    String history 
"2018-04-26T23:05:25Z (local files)
2018-04-26T23:05:25Z http://coastwatch.pfeg.noaa.gov/griddap/erdSoda331icemday_LonPM180.das";
    String infoUrl "http://www.soda.umd.edu";
    String institution "University of Maryland";
    String keywords "3.3.1, assimilation, concentration, data, depth, distribution, ice, ice distribution, latitude, level, longitude, maryland, ocean, reanalysis, sea, simple, soda, soda3.3.1, state, time, university";
    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.";
    Float64 Northernmost_Northing 89.75;
    String Principle_investigator "James A. Carton";
    String Principle_investigator_email "carton@atmos.umd.edu";
    String publisher_email "erd.data@noaa.gov";
    String publisher_name "NOAA NMFS SWFSC ERD";
    String publisher_type "institution";
    String publisher_url "https://www.pfeg.noaa.gov";
    String references "Carton, Chepurin, and Chen (2017)";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing -74.75;
    String standard_name_vocabulary "CF Standard Name Table v29";
    String summary "SODA3.3.1 ice state, forced by MERRA2. The goal of SODA is to reconstruct the historical physical (and eventually biogeochemical) history of the ocean. As its name implies, the Simple Ocean Data Assimilation ocean/sea ice reanalysis (SODA) uses a simple architecture based on community standard codes with resolution chosen to match available data and the scales of motion that are resolvable. Agreement with direct measurements (to within observational error estimates) as well as unbiased statistics are expected. Please cite: Carton, Chepurin, and Chen (2017).";
    String time_coverage_end "2015-12-16T00:00:00Z";
    String time_coverage_start "1980-01-16T00:00:00Z";
    String title "SODA 3.3.1 Sea Ice Concentration, 1/2°, Global, 1980-2015, Monthly Composite, Lon+/-180";
    Float64 Westernmost_Easting -179.75;
  }
}

 

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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