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ERDDAP > griddap > Make a Graph

Dataset Title:	AmSeas 2D
Institution:	NOAA NCDDC   (Dataset ID: NCOM_amseas_latest2d)
Information:	Summary | License | Metadata | Background | Data Access Form

Graph Type:  lines linesAndMarkers markers sticks surface vectors X Axis:  longitude Y Axis:  latitude Color:  surf_el surf_atm_press surf_temp_flux surf_salt_flux surf_solar_flux surf_roughness surf_wnd_stress_gridx surf_wnd_stress_gridy   Dimension Ranges    Start    Stop time (UTC)     specify just 1 value → latitude (degrees_north) longitude (degrees_east)   Graph Settings Color Bar: BlackBlueWhite BlackGreenWhite BlackRedWhite BlackWhite BlueWhiteRed BlueWideWhiteRed LightRainbow Ocean Rainbow Rainbow2 ReverseRainbow RedWhiteBlue RedWideWhiteBlue Spectrum Topography WhiteBlueBlack WhiteGreenBlack WhiteRedBlack WhiteBlack    Continuity: Continuous Discrete    Scale: Linear Log       Min:    Max:    N Sections: 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 Draw the land mask: under the data over the data   Redraw the Graph (Please be patient. It may take a while to get the data.)   Optional: Then set the File Type: .asc .csv .csvp .das .dds .dods .esriAscii .graph .help .html .htmlTable .json .mat .nc .ncHeader .odvTxt .tsv .tsvp .xhtml .geotif .kml .smallPdf .pdf .largePdf .smallPng .png .largePng .transparentPng and or view the URL: (Documentation / Bypass this form ) (File Type information)

Click on the map to specify a new center point. Zoom:

Things You Can Do With Your Graphs

• Web page authors can embed a graph of the latest data in a web page using HTML <img> tags.
• Anyone can use Slide Sorter to build a personal web page that displays graphs of the latest data, each in its own, draggable slide.
• Anyone can use or make Google Gadgets to display images with the latest data on their iGoogle home page.
   

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 5.253984e+8, 1.3717728e+9;
    String axis "T";
    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 5.0, 32.0972900390625;
    String axis "Y";
    String ioos_category "Location";
    String long_name "Latitude";
    Int32 NAVO_code 1;
    String standard_name "latitude";
    String units "degrees_north";
    Float64 valid_range 5.0, 32.0972900390625;
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float64 actual_range 262.0, 305.095703125;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    Int32 NAVO_code 2;
    String standard_name "longitude";
    String units "degrees_east";
    Float64 valid_range 262.0, 305.095703125;
  }
  surf_el {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "up";
    String coordinates "time_run time lat lon ";
    String ioos_category "Sea_Level";
    String long_name "Water Surface Elevation";
    Int32 NAVO_code 32;
    String positive "up";
    String units "meter";
  }
  surf_atm_press {
    String _CoordinateAxisType "Pressure";
    String coordinates "time_run time lat lon ";
    String ioos_category "Pressure";
    String long_name "Surface Atmospherics Pressure";
    Int32 NAVO_code 62;
    String units "Pascal";
  }
  surf_temp_flux {
    String coordinates "time_run time lat lon ";
    String ioos_category "Heat_Flux";
    String long_name "model surface temperature flux";
    Int32 NAVO_code 99;
    String units "degC-m/s";
  }
  surf_salt_flux {
    String coordinates "time_run time lat lon ";
    String ioos_category "Salinity";
    String long_name "model surface salinity flux";
    Int32 NAVO_code 99;
    String units "psu-m/s";
  }
  surf_solar_flux {
    String coordinates "time_run time lat lon ";
    String ioos_category "Heat_Flux";
    String long_name "model surface shortwave flux";
    Int32 NAVO_code 99;
    String units "degC-m/s";
  }
  surf_roughness {
    String coordinates "time_run time lat lon ";
    String ioos_category "Surface_Waves";
    String long_name "model surface roughness";
    Int32 NAVO_code 99;
    String units "m";
  }
  surf_wnd_stress_gridx {
    String coordinates "time_run time lat lon ";
    String ioos_category "Wind";
    String long_name "Grid x Surface Wind Stress";
    Int32 NAVO_code 60;
    String units "newton/meter2";
  }
  surf_wnd_stress_gridy {
    String coordinates "time_run time lat lon ";
    String ioos_category "Wind";
    String long_name "Grid y Surface Wind Stress";
    Int32 NAVO_code 61;
    String units "newton/meter2";
  }
  NC_GLOBAL {
    String _CoordSysBuilder "ucar.nc2.dataset.conv.CF1Convention";
    String cdm_data_type "Grid";
    String classification_authority "not applicable";
    String classification_level "not applicable";
    String contact "NRL Code 7323";
    String Conventions "Global NCOM";
    String distribution_statement "Approved for public release; distribution is unlimited.";
    String downgrade_date "not applicable";
    String featureType "GRID";
    String generating_model "NCOM NOKI";
    String history 
"not applicable ;
FMRC Best Dataset
2013-06-19 http://localhost/thredds/dodsC/ncom_amseas_agg/AmSeas_Aggregation_
best.ncd
2013-06-19 http://edac-dap3.northerngulfinstitute.org/griddap/NCOM_amseas_
latest2d.das";
    String infoUrl 
"http://edac-dap3.northerngulfinstitute.org/thredds/catalog/ncom_amseas_agg/
catalog.html?dataset=ncom_amseas_agg/AmSeas_Aggregation_best.ncd";
    String initial_time "2000010100";
    String input_data_source "not_applicable";
    String institution "NOAA NCDDC";
    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:AmSeas Aggregation";
    String model_type "NCOM_2.3";
    String operational_status "development";
    String sourceUrl "http://localhost/thredds/dodsC/ncom_amseas_agg/AmSeas_Aggregation_best.ncd";
    String standard_name_vocabulary "CF-1.0";
    String summary "Latest 3-day forecast for NCOM American Seas, 2-D";
    String time_origin "2013-06-11 00:00:00";
    String title "AmSeas 2D";
  }
}

Using griddap to Request Data and Graphs from Gridded Datasets

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.

• (easy) You can get data by using the dataset's Data Access Form. It makes the URL for you.
• (easy) You can make a graph or map by using the dataset's Make A Graph form. It makes the URL for you.
• (not hard) You can bypass the forms and get the data or make a graph or map by generating the URL by
  hand or with a computer program or script.

griddap request URLs must be in the form
   http://edac-dap3.northerngulfinstitute.org/erddap/griddap/datasetID.fileType{?query}
For example,
   http://edac-dap3.northerngulfinstitute.org/erddap/griddap/erdBAssta5day.htmlTable?sst[(2007-10-21T00:00:00)][0][(-75):100:(75)][(180):100:(360)]
Thus, the query is often a variable name (e.g., sst),
followed by a set of [] for each of the variable's dimensions
(for example, [time][altitude][latitude][longitude]),
with your desired (start):stride:(stop) values within each [].

For details, see the griddap Documentation.