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ERDDAP > griddap > Make A Graph ?

Dataset Title:  Synthetic temperature fields from METEOROMS Subscribe RSS
Institution:  METEO/USC   (Dataset ID: ROMSMETEO)
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Data Access Form
 
Graph Type:  ?
X Axis:  ?
Y Axis:  ?
Color:  ?
 
Dimensions ?    Start ?    Stop ?
time (UTC) ?     specify just 1 value →
    << -
< <
depth (m) ?     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:   Ascending: 
 
(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 1.2793248e+9, 1.2794112e+9;
    String axis "T";
    String calendar "gregorian";
    String field "time, scalar, series";
    String ioos_category "Time";
    String long_name "Time";
    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, 10.0;
    String axis "Z";
    String field "depth, scalar";
    String ioos_category "Location";
    String long_name "Depth";
    String positive "down";
    String standard_name "depth";
    String units "m";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 actual_range 39.1, 45.800000000000004;
    String axis "Y";
    String field "lat_rho, scalar";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float64 actual_range -13.0, -5.6;
    String axis "X";
    String field "lon_rho, scalar";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  temperature {
    Float64 _FillValue 1.0e+37;
    Float64 colorBarMaximum 25.0;
    Float64 colorBarMinimum 12.0;
    String coordinates "longitude latitude depth time";
    String field "temperature, scalar, series";
    String ioos_category "Temperature";
    String long_name "sea water temperature";
    String standard_name "sea_water_temperature";
    String time "ocean_time";
    String units "Celsius";
  }
  NC_GLOBAL {
    String cdm_data_type "Grid";
    String compiler_command "/opt/hpmpi/bin/mpif90";
    String compiler_flags "-ip -O3 -free";
    String compiler_system "ifort";
    String Conventions "COARDS, CF-1.0, Unidata Dataset Discovery v1.0";
    String cpu "ia64";
    Float64 Easternmost_Easting -5.6;
    String format "netCDF-3 classic file";
    Float64 geospatial_lat_max 45.800000000000004;
    Float64 geospatial_lat_min 39.1;
    Float64 geospatial_lat_resolution 0.020000000000000007;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -5.6;
    Float64 geospatial_lon_min -13.0;
    Float64 geospatial_lon_resolution 0.02;
    String geospatial_lon_units "degrees_east";
    String header_file "mercatorgalicia.h";
    String history 
"2019-04-24T00:45:04Z https://cwcgom.aoml.noaa.gov/thredds/dodsC/ROMSMETEO/kk1.nc
2019-04-24T00:45:04Z http://cwcgom.aoml.noaa.gov:8080/griddap/ROMSMETEO.das";
    String infoUrl "http://www.aoml.noaa.gov/phod/";
    String institution "METEO/USC";
    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.";
    Int32 nco_openmp_thread_number 1;
    Int32 node_offset 0;
    Float64 Northernmost_Northing 45.800000000000004;
    String os "Linux";
    String script_file "ocean_mercatorgalicia.in";
    String sourceUrl "https://cwcgom.aoml.noaa.gov/thredds/dodsC/ROMSMETEO/kk1.nc";
    Float64 Southernmost_Northing 39.1;
    String spos_file "stations_mercatorgalicia.in";
    String standard_name_vocabulary "CF-1.0";
    String summary "Synthetic temperature fields from METEOROMS";
    String svn_url "https://www.myroms.org/svn/src/trunk";
    String tiling "004x004";
    String time_coverage_end "2010-07-18T00:00:00Z";
    String time_coverage_start "2010-07-17T00:00:00Z";
    String title "Synthetic temperature fields from METEOROMS";
    String type "ROMS/TOMS history file";
    String var_info "ROMS/External/varinfo.dat";
    Float64 Westernmost_Easting -13.0;
  }
}

 

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/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.


 
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