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ERDDAP > griddap > Make A Graph ?

Dataset Title:  Global NCOM for Region 05, 2D aggregation   RSS
Institution:  Naval Oceanographic Office via NOAA NCEI   (Dataset ID: NCOM_Region5_2D_agg)
Information:  Summary ? | License ? | Metadata | Background | 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:   
 
(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 1.272672e+9, 1.3639104e+9;
    String axis "T";
    String calendar "proleptic_gregorian";
    String ioos_category "Time";
    String long_name "Forecast time for ForecastModelRunCollection";
    Float64 missing_value NaN;
    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 -10.0, 60.0;
    String axis "Y";
    String ioos_category "Location";
    String long_name "Latitude";
    Int32 NAVO_code 1;
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float64 actual_range 100.0, 150.0;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    Int32 NAVO_code 2;
    String standard_name "longitude";
    String units "degrees_east";
  }
  surf_el {
    String coordinates "time_run time lat lon";
    String ioos_category "Other";
    String long_name "Water Surface Elevation";
    Int32 NAVO_code 32;
    String units "meter";
  }
  NC_GLOBAL {
    String _CoordSysBuilder "ucar.nc2.dataset.conv.CF1Convention";
    String cdm_data_type "Grid";
    String classification_authority "not applicable";
    String classification_level "UNCLASSIFIED";
    String comment "...";
    String contact "NAVO, N33";
    String Conventions "Global NCOM";
    String creator_name "kelly.r.wood@navy.mil; jeffery.rayburn@navy.mil";
    String distribution_statement "Approved for public release. Distribution unlimited.";
    String downgrade_date "not applicable";
    Float64 Easternmost_Easting 150.0;
    String generating_model "Global NCOM with OSU tides";
    Float64 geospatial_lat_max 60.0;
    Float64 geospatial_lat_min -10.0;
    Float64 geospatial_lat_resolution 0.125;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 150.0;
    Float64 geospatial_lon_min 100.0;
    Float64 geospatial_lon_resolution 0.125;
    String geospatial_lon_units "degrees_east";
    String history 
"created on 20130318 ;
FMRC Best Dataset
2024-03-28T13:23:40Z https://www.ncei.noaa.gov/thredds-coastal/dodsC/ncom/ncom_reg5_agg/NCOM_Region_5_Aggregation_best.ncd
2024-03-28T13:23:40Z https://www.ncei.noaa.gov/griddap/NCOM_Region5_2D_agg.das";
    String infoUrl "https://www.ncei.noaa.gov/thredds-coastal/catalog/ncom/ncom_reg5_agg/catalog.html?dataset=ncom/ncom_reg5_agg/NCOM_Region_5_Aggregation_best.ncd";
    String input_data_source "FNMOC NOGAPS, NAVO MODAS, NAVO NLOM";
    String institution "Naval Oceanographic Office via NOAA NCEI";
    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 location "Proto fmrc:NCOM_Region_5_Aggregation";
    String message "UNCLASSIFIED";
    String model_type "x-curvilinear lon, y-curvilinear lat, z-sigma_z";
    Float64 Northernmost_Northing 60.0;
    String operational_status "development";
    String publisher_name "OceanNOMADS@noaa.gov";
    String reference "https://www.navo.navy.mil/";
    String sourceUrl "https://www.ncei.noaa.gov/thredds-coastal/dodsC/ncom/ncom_reg5_agg/NCOM_Region_5_Aggregation_best.ncd";
    Float64 Southernmost_Northing -10.0;
    String standard_name_vocabulary "CF-1.0";
    String summary "Global NCOM for Region 5, 2D field aggregation best time series";
    String time_coverage_end "2013-03-22T00:00:00Z";
    String time_coverage_start "2010-05-01T00:00:00Z";
    String time_origin "2013-03-18 00:00:00";
    String title "Global NCOM for Region 05, 2D aggregation";
    Float64 Westernmost_Easting 100.0;
  }
}

 

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/erdBAssta5day.htmlTable?sst[(2007-10-21T00:00:00)][0][(-75):100:(75)][(180):100:(360)]
Thus, the query is often a data variable name (e.g., sst), followed by [(start):stride:(stop)] (or a shorter variation of that) for each of the variable's dimensions (for example, [time][altitude][latitude][longitude]).

For details, see the griddap Documentation.


 
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