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Dataset Title:  GFDL CM2.1 Seasonal-Interannual Experimental Forecast, CM2.1U CDAef v1.0 sef,
r10, ice, CM2.1U CDAef v1.0 sef r10 Ice, 1982-2010
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Institution:  NOAA GFDL   (Dataset ID: noaa_gfdl_a310_8448_9d57)
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.)
Then set the File Type: (File Type information)
or view the URL:
(Documentation / Bypass this form ? )
    Click on the map to specify a new center point. ?
[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 4.009824e+8, 1.2837744e+9;
    String axis "T";
    String calendar "JULIAN";
    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 -81.5, 78.78197479248047;
    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 0.9076784253120422, 359.8444988876581;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  tos {
    Float32 _FillValue 1.0e+20;
    String associated_files "gridspecFile:";
    String cell_methods "time: mean";
    Float64 colorBarMaximum 305.0;
    Float64 colorBarMinimum 273.0;
    String history "2010-04-28T01:05:07Z altered by CMOR: Converted units from 'Celsius' to 'K'. 2010-04-28T01:05:07Z altered by CMOR: replaced missing value flag (-1e+34) with standard missing value (1e+20). 2010-04-28T01:05:08Z altered by CMOR: Converted type from 'd' to 'f'.";
    String ioos_category "Temperature";
    String long_name "Sea Surface Temperature";
    Float32 missing_value 1.0e+20;
    String original_name "SST";
    String standard_name "sea_surface_temperature";
    String units "K";
    String cdm_data_type "Grid";
    String cmor_version "2.0.0";
    String comment "GFDL SI system initialized from ensemble filter fully coupled data assimilation";
    String contact "";
    String Conventions "CF-1.6, COARDS, ACDD-1.3";
    String creation_date "2010-04-28T01:05:08Z";
    String creator_email "";
    String creator_name "NOAA GFDL";
    String creator_type "institution";
    String creator_url "";
    Float64 Easternmost_Easting 359.8444988876581;
    String experiment "CM2.1U_CDAef_v1.0";
    String experiment_id "CM2.1U_CDAef_v1.0";
    Float64 geospatial_lat_max 78.78197479248047;
    Float64 geospatial_lat_min -81.5;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 359.8444988876581;
    Float64 geospatial_lon_min 0.9076784253120422;
    String geospatial_lon_units "degrees_east";
    String history 
"2010-04-28T01:05:08Z CMOR rewrote data to comply with CF standards and GFDL Seasonal-Interannual Experimental Forecasts requirements.
    String id "CM2.1U_CDAef_v1.0_sef-r10-Ice";
    String infoUrl "";
    Int32 initialization_method 1;
    String institute_id "GFDL";
    String institution "NOAA GFDL";
    String keywords "cdaef, climate, clivar, cm2.1, cm2.1u, data, dynamics, earth, Earth Science > Oceans > Ocean Temperature > Sea Surface Temperature, experimental, fluid, forecast, forecasts, geophysical, gfdl, ice, interannual, laboratory, latitude, longitude, model, noaa, ocean, oceans, output, predictability, prepared, programme, r10, science, sea, sea_surface_temperature, seasonal, seasonal-interannual, sef, surface, temperature, time, tos, v1.0, variability";
    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 model_id "CLIVAR";
    String modeling_realm "REALM";
    Float64 Northernmost_Northing 78.78197479248047;
    Int32 physics_version 1;
    String product "output";
    String project_id "GFDL Seasonal-Interannual Experimental Forecasts";
    Int32 realization 1;
    String references "The GFDL Data Portal ( provides access to NOAA/GFDLs publicly available model input and output data sets. From this web site one can view and download data sets and documentation, includingthose related to the GFDL CM2.1 model experiments run for the IPCCs 4th Assessment Report and the US CCSP.";
    String source "GFDL_CM2.1";
    String sourceUrl "";
    Float64 Southernmost_Northing -81.5;
    String standard_name_vocabulary "CF Standard Name Table v29";
    String summary "Climate Variability and Predictability programme (CLIVAR) model output prepared for Geophysical Fluid Dynamics Laboratory (GFDL) Seasonal-Interannual Experimental Forecasts CM2.1U_CDAef_v1.0. GFDL SI system initialized from ensemble filter fully coupled data assimilation";
    String table_id "Table O1 (7 September 2004) d3a9b66080f97a1b3dc3ec2177cb592a";
    String time_coverage_end "2010-09-06T12:00:00Z";
    String time_coverage_start "1982-09-16T00:00:00Z";
    String title "GFDL CM2.1 Seasonal-Interannual Experimental Forecast, CM2.1U CDAef v1.0 sef, r10, ice, CM2.1U CDAef v1.0 sef r10 Ice, 1982-2010";
    String tracking_id "5e53f1e4-0213-470f-978c-73e539ad1c92";
    Float64 Westernmost_Easting 0.9076784253120422;


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{?query}
For example,[(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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