Make A Graph

Dataset Title:	NAM Met. Forcing every 3 hours
Institution:	Department of Marine and Coastal Sciences, Rutgers University (Dataset ID: NAM3hrFORCING)
Information:	Summary \| License \| FGDC \| ISO 19115 \| Metadata \| Background \| Data Access Form

To work correctly, this web page requires that JavaScript be enabled in your browser. Please:
1) Enable JavaScript in your browser:
      • Chrome: "Settings : Advanced : Privacy and security : Site Settings : JavaScript"
      • Firefox: (it should be always on!)"
      • Opera: "Settings : Websites : JavaScript"
      • Safari: "Safari : Preferences : Security : Enable JavaScript"
2) Reload this web page.

Graph Type:
X Axis:
Y Axis:
Color:

Dimensions

Start

Stop

time (UTC)

specify just 1 value →

latitude (degrees_north)

longitude (degrees_east)

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:

Web page authors can embed a graph of the latest data in a web page using HTML <img> tags.
Anyone can use ERDDAPs Slide Sorter to build a personal web page that displays graphs with the latest data (or other images or HTML content), each in its own, draggable slide.

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.5427692e+9, 1.7137008e+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 31.06054436364, 46.90884436364;
    String axis "Y";
    String ioos_category "Location";
    String long_name "Latitude";
    Float64 maximum 46.9088;
    Float64 minimum 31.0605;
    Float32 resolution 0.1108273;
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float64 actual_range -81.9003871333, -55.02843521572;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    Float64 maximum -55.0284;
    Float64 minimum -81.9004;
    Float32 resolution 0.1133838;
    String standard_name "longitude";
    String units "degrees_east";
  }
  airpressure {
    String _CoordinateAxisType "Pressure";
    Float32 _FillValue 9.999e+20;
    Float64 colorBarMaximum 1040.0;
    Float64 colorBarMinimum 1000.0;
    String coordinates "time_run time lat lon";
    String ioos_category "Meteorology";
    String long_name "Air Pressure";
    String time "time";
    String units "millibar";
  }
  airtemperature {
    Float32 _FillValue 9.999e+20;
    Float64 colorBarMaximum 40.0;
    Float64 colorBarMinimum 0.0;
    String coordinates "time_run time lat lon";
    String history "converted from Kelvin tmp2m-273.15";
    String ioos_category "Meteorology";
    String long_name "Air Tempresture";
    Float32 missing_value 9.999e+20;
    String time "time";
  }
  relativehumidity {
    Float32 _FillValue 9.999e+20;
    Float64 colorBarMaximum 110.0;
    Float64 colorBarMinimum 60.0;
    String coordinates "time_run time lat lon";
    String ioos_category "Meteorology";
    String long_name "2 m above ground none relative humidity [%]";
    Float32 missing_value 9.999e+20;
    String time "time";
    String units "percentage";
  }
  uwind {
    Float32 _FillValue 9.999e+20;
    Float64 colorBarMaximum 20.0;
    Float64 colorBarMinimum -20.0;
    String coordinates "time_run time lat lon";
    String ioos_category "Meteorology";
    String long_name "10 m above ground u-component of wind";
    Float32 missing_value 9.999e+20;
    String time "time";
  }
  vwind {
    Float32 _FillValue 9.999e+20;
    Float64 colorBarMaximum 20.0;
    Float64 colorBarMinimum -20.0;
    String coordinates "time_run time lat lon";
    String ioos_category "Meteorology";
    String long_name "10 m above ground v-component of wind";
    Float32 missing_value 9.999e+20;
    String time "time";
  }
  rain {
    Float32 _FillValue 9.999e+20;
    Float64 colorBarMaximum 0.001;
    Float64 colorBarMinimum 0.0;
    String coordinates "time_run time lat lon";
    String ioos_category "Meteorology";
    String long_name "0-3 hr ave precipitation rate";
    String time "time";
    String units "kilogram meter-2 second-1";
  }
  swrad {
    Float32 _FillValue 9.999e+20;
    Float64 colorBarMaximum 700.0;
    Float64 colorBarMinimum 0.0;
    String coordinates "time_run time lat lon";
    String ioos_category "Meteorology";
    String long_name "0-3 hr ave net shortwave radiation flux";
    Float32 missing_value 9.999e+20;
    String time "time";
    String units "Watt meter-2";
  }
  lwrad {
    Float32 _FillValue 9.999e+20;
    Float64 colorBarMaximum 200.0;
    Float64 colorBarMinimum -200.0;
    String coordinates "time_run time lat lon";
    String ioos_category "Meteorology";
    String long_name "0-3 hr ave net longwave radiation flux";
    Float32 missing_value 9.999e+20;
    String time "time";
    String units "Watt meter-2";
  }
  lwrad_down {
    Float32 _FillValue 9.999e+20;
    Float64 colorBarMaximum 500.0;
    Float64 colorBarMinimum 0.0;
    String coordinates "time_run time lat lon";
    String ioos_category "Meteorology";
    String long_name "downward longwave radiation flux";
    Float32 missing_value 9.999e+20;
    String time "time";
    String units "Watt meter-2";
  }
  NC_GLOBAL {
    String _CoordSysBuilder "ucar.nc2.dataset.conv.CF1Convention";
    String Analysis_or_forecast_generating_process_identifier_defined_by_originating_centre "MESO NAM Model (currently 12 km)";
    String cdm_data_type "Grid";
    String Conventions "COARDS";
    String creator "John Wilkin (jwilkin@rutgers.edu)";
    Float64 Easternmost_Easting -55.02843521572;
    Float64 geospatial_lat_max 46.90884436364;
    Float64 geospatial_lat_min 31.06054436364;
    Float64 geospatial_lat_resolution 0.11082727272727275;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -55.02843521572;
    Float64 geospatial_lon_min -81.9003871333;
    Float64 geospatial_lon_resolution 0.11338376336531646;
    String geospatial_lon_units "degrees_east";
    String history 
"Created by John Wilkin on 10-Apr-2024 01:47:52 using driver script  ;
FMRC Best Dataset
2024-04-19T10:55:16Z http://tds.marine.rutgers.edu/thredds/dodsC/met/nomads-nam-12km-3hour/Pair/Pair_Best
2024-04-19T10:55:16Z https://tds.marine.rutgers.edu/griddap/NAM3hrFORCING.das";
    String infoUrl "https://nomads.ncep.noaa.gov:9090/dods/nam";
    String institution "Department of Marine and Coastal Sciences, Rutgers 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.";
    String location "Proto fmrc:nomads-nam-12km-3hour_Pair";
    String Metadata_Conventions "COARDS";
    Float64 Northernmost_Northing 46.90884436364;
    String Originating_or_generating_Center "US National Weather Service, National Centres for Environmental Prediction (NCEP)";
    String source "https://nomads.ncep.noaa.gov/pub/data/nccf/com/nam/prod";
    String sourceUrl "http://tds.marine.rutgers.edu/thredds/dodsC/met/nomads-nam-12km-3hour/Pair/Pair_Best";
    Float64 Southernmost_Northing 31.06054436364;
    String summary "Meteorological Forcinge from the North American Mesoscale model.";
    String time_coverage_end "2024-04-21T12:00:00Z";
    String time_coverage_start "2018-11-21T03:00:00Z";
    String title "NAM Met. Forcing  every 3 hours";
    Float64 Westernmost_Easting -81.9003871333;
  }
}

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.

(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
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.