Make A Graph

Dataset Title:	RTOFS Forecast, 2D, 3-Hourly Prognostic, Global, Latest Model Run, near Real- time
Institution:	NOAA NCEP (Dataset ID: caricoos_dm3_133b_1534_33ca)
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 →

level (millibar)

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 1.6960428e+9, 1.7330112e+9;
    String axis "T";
    String ioos_category "Time";
    String long_name "Forecast time for ForecastModelRunCollection";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  level {
    String _CoordinateAxisType "Pressure";
    Float64 actual_range 1.0, 1.0;
    String axis "Z";
    String ioos_category "Pressure";
    String long_name "Level";
    String units "millibar";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 actual_range 4.9962, 29.9952;
    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 -80.01490000000001, -50.016099999999994;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  sst {
    Float32 _FillValue 1.26765e+30;
    Float64 colorBarMaximum 32.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Temperature";
    String long_name "Sea Surface Temperature";
    Float32 missing_value 1.26765e+30;
    String standard_name "sea_surface_temperature";
    String units "degree_C";
  }
  sss {
    Float32 _FillValue 1.26765e+30;
    Float64 colorBarMaximum 37.0;
    Float64 colorBarMinimum 32.0;
    String ioos_category "Salinity";
    String long_name "Sea Water Practical Salinity";
    Float32 missing_value 1.26765e+30;
    String standard_name "sea_water_practical_salinity";
    String units "PSU";
  }
  u_velocity {
    Float32 _FillValue 1.26765e+30;
    Float64 colorBarMaximum 0.5;
    Float64 colorBarMinimum -0.5;
    String ioos_category "Currents";
    String long_name "Eastward Sea Water Velocity";
    Float32 missing_value 1.26765e+30;
    String standard_name "eastward_sea_water_velocity";
    String units "m s-1";
  }
  v_velocity {
    Float32 _FillValue 1.26765e+30;
    Float64 colorBarMaximum 0.5;
    Float64 colorBarMinimum -0.5;
    String ioos_category "Currents";
    String long_name "Northward Sea Water Velocity";
    Float32 missing_value 1.26765e+30;
    String standard_name "northward_sea_water_velocity";
    String units "m s-1";
  }
  NC_GLOBAL {
    String _CoordSysBuilder "ucar.nc2.dataset.conv.CF1Convention";
    String cdm_data_type "Grid";
    String Conventions "CF-1.6, _Coordinates, COARDS, ACDD-1.3";
    String creator_email "avichal.mehra@noaa.gov";
    String creator_name "NOAA NCEP";
    String creator_type "institution";
    String creator_url "https://polar.ncep.noaa.gov/global/";
    Float64 Easternmost_Easting -50.016099999999994;
    Float64 geospatial_lat_max 29.9952;
    Float64 geospatial_lat_min 4.9962;
    Float64 geospatial_lat_resolution 0.08333;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -50.016099999999994;
    Float64 geospatial_lon_min -80.01490000000001;
    Float64 geospatial_lon_resolution 0.08333000000000004;
    String geospatial_lon_units "degrees_east";
    String history 
"Fri Apr 21 15:28:05 UTC 2023 : imported by GrADS Data Server 2.0
2023-04-22T08:28:01Z https://nomads.ncep.noaa.gov/dods/rtofs/rtofs_global20230421/rtofs_glo_2ds_forecast_3hrly_prog
2023-04-22T08:28:01Z https://coastwatch.pfeg.noaa.gov/erddap/griddap/ncepRtofsG2DFore3hrlyProg_LonPM180.nc?sst[1:64][][(5):1:(30)][(-80):1:(-50)],sss[1:64][][(5):1:(30)][(-80):1:(-50)],u_velocity[1:64][][(5):1:(30)][(-80):1:(-50)],v_velocity[1:64][][(5):1:(30)][(-80):1:(-50)] ;
FMRC Best Dataset
2024-11-24T22:08:49Z http://dm3.caricoos.org/thredds/dodsC/rtofs_2d/RTOFS_Aggregation_2D_best.ncd
2024-11-24T22:08:49Z http://dm3.caricoos.org:8003/griddap/caricoos_dm3_133b_1534_33ca.das";
    String infoUrl "https://polar.ncep.noaa.gov/global/";
    String institution "NOAA NCEP";
    String keywords "-180, 3-hourly, centers, circulation, coordinate, currents, daily, data, day, density, earth, Earth Science > Oceans > Ocean Circulation > Ocean Currents, Earth Science > Oceans > Ocean Temperature > Sea Surface Temperature, Earth Science > Oceans > Salinity/Density > Salinity, eastward, eastward_sea_water_velocity, eddy, environmental, forecast, global, hour, hourly, hybrid, hycom, latest, latitude, level, lon+, longitude, meridional, model, modeling, national, ncep, noaa, northward, northward_sea_water_velocity, nowcast, nws, ocean, oceans, operational, practical, prediction, prognostic, real, real time, real-time, realtime, resolving, rtofs, run, salinity, salinity/density, science, sea, sea_surface_salinity, sea_surface_temperature, sea_water_practical_salinity, sea_water_temperature, seawater, service, sss, sst, surface, system, temperature, time, today, today+8days, u_velocity, v_velocity, velocity, water, weather, zonal";
    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 location "Proto fmrc:RTOFS_Aggregation_2D";
    Float64 Northernmost_Northing 29.9952;
    String sourceUrl "http://dm3.caricoos.org/thredds/dodsC/rtofs_2d/RTOFS_Aggregation_2D_best.ncd";
    Float64 Southernmost_Northing 4.9962;
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary "RTOFS Forecast, 2D, 3-Hourly Prognostic, Global, Latest Model Run, today - today+8days, Lon+/-180. This is a subset of the NCEP     RTOFS Region 1 (US East) forecast for purposes of     archiving, use by our operational products, and     distribution to the general and scientific community. The     global operational Real-Time Ocean Forecast System (Global     RTOFS) at the NOAA National Centers for Environmental     Prediction is based on an eddy resolving 1/12? global HYbrid Coordinate Ocean Model (HYCOM)     (HYbrid Coordinates Ocean Model) and is part of a larger     national backbone capability of ocean modeling at the     National Weather Service in a strong partnership with the     US Navy.";
    String testOutOfDate "now+132hours";
    String time_coverage_end "2024-12-01T00:00:00Z";
    String time_coverage_start "2023-09-30T03:00:00Z";
    String title "RTOFS Forecast, 2D, 3-Hourly Prognostic, Global, Latest Model Run, near Real-time";
    Float64 Westernmost_Easting -80.01490000000001;
  }
}

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.