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ERDDAP > griddap > Make a Graph

Dataset Title:	IASNFS 2-D fields
Institution:	NOAA NCDDC   (Dataset ID: IASNFS_2D)
Information:	Summary | License | Metadata | Background | Data Access Form

Graph Type:  lines linesAndMarkers markers sticks surface vectors X Axis:  longitude Y Axis:  latitude Color:  Surface_Elevation MDG MLD   Dimension Ranges    Start    Stop time (UTC)     specify just 1 value → Depth (meter)     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 1.2464064e+9, 1.3012704e+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";
  }
  Depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Float32 actual_range 0.0, 0.0;
    String FORTRAN_format "f8.1";
    String long_name "Depth";
    String positive "down";
    String units "meter";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range 15.0, 31.0;
    String axis "Y";
    String FORTRAN_format "f8.3";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 actual_range -99.0, -79.0;
    String axis "X";
    String FORTRAN_format "f8.3";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  Surface_Elevation {
    Float32 _FillValue -99.0;
    String coordinates "time_run time Depth Latitude Longitude ";
    String FORTRAN_format "f8.3";
    String ioos_category "Other";
    String long_name "Surface Elevation";
    String units "m";
  }
  MDG {
    Float32 _FillValue -99.0;
    String coordinates "time_run time Depth Latitude Longitude ";
    String FORTRAN_format "f8.3";
    String ioos_category "Other";
    String long_name "Max. Density Gradient";
    String units "kg/m**3/m";
  }
  MLD {
    Float32 _FillValue -99.0;
    String coordinates "time_run time Depth Latitude Longitude ";
    String FORTRAN_format "f8.3";
    String ioos_category "Other";
    String long_name "Mixed Layer Depth";
    String units "m";
  }
  NC_GLOBAL {
    String cdm_data_type "Grid";
    String CF%3afeature_type "GRID";
    String Conventions "Global NCOM";
    String history 
"FMRC Best Dataset
2012-02-03 http://edac-dap3.northerngulfinstitute.org/thredds/dodsC/iasnfs_
2d_agg/IASNFS_2-D_Aggregation_best.ncd
2012-02-03 http://edac-dap2.northerngulfinstitute.org/griddap/IASNFS_2D.das";
    String infoUrl 
"http://edac-dap3.northerngulfinstitute.org/thredds/catalog/iasnfs_2d_agg/
catalog.html?dataset=iasnfs_2d_agg/IASNFS_2-D_Aggregation_best.ncd";
    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:IASNFS 2-D Aggregation";
    String source "NRL IASNFS                              ";
    String sourceUrl 
"http://edac-dap3.northerngulfinstitute.org/thredds/dodsC/iasnfs_2d_agg/
IASNFS_2-D_Aggregation_best.ncd";
    String standard_name_vocabulary "CF-1.0";
    String summary "Intra Americas Sea Nowcast Forecast System aggregation.";
    String title "IASNFS 2-D fields";
  }
}

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-dap2.northerngulfinstitute.org/erddap/griddap/datasetID.fileType{?query}
For example,
   http://edac-dap2.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.