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ERDDAP > griddap > Make A Graph ?

Dataset Title:  MeteoGalicia, Model Roms, Galicia (ROMS METEO) (kk1), 0.02°, 2010 Subscribe RSS
Institution:  NOAA NESDIS CWCGOM, NOAA AOML   (Dataset ID: noaa_aoml_1416_2063_c592)
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.)
Then set the File Type: (File Type information)
or view the URL:
(Documentation / Bypass this form ? )
    Click on the map to specify a new center point. ?
[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 1.2815712e+9, 1.2816576e+9;
    String axis "T";
    String calendar "gregorian";
    String field "time, scalar, series";
    String ioos_category "Time";
    String long_name "seconds since  2010 01 27 00:00:00";
    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";
  temp {
    Float64 _FillValue 1.0e+37;
    Float64 colorBarMaximum 32.0;
    Float64 colorBarMinimum 0.0;
    String field "temperature, scalar, series";
    String ioos_category "Temperature";
    String long_name "potential temperature";
    String standard_name "sea_water_temperature";
    String time "ocean_time";
    String units "degree_C";
    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-1.6, ACDD-1.3";
    String creator_email "";
    String creator_name "Joaquin Trinanes";
    String creator_type "person";
    String creator_url "";
    Float64 Easternmost_Easting -5.6;
    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 
    String id "ROMS_METEO";
    String infoUrl "";
    String institution "NOAA NESDIS CWCGOM, NOAA AOML";
    String keywords "aoml, atlantic, caribbean, coastwatch, cwcgom, data, depth, earth, Earth Science > Oceans > Ocean Temperature > Water Temperature, environmental, galicia, gulf, information, kk1, laboratory, latitude, longitude, meteo, meteogalicia, meteorological, mexico, model, modeling, national, nesdis, noaa, ocean, oceanographic, oceans, potential, regional, roms, satellite, science, sea, sea_water_temperature, seawater, service, system, temperature, time, water";
    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.";
    Int32 nco_openmp_thread_number 1;
    Float64 Northernmost_Northing 45.800000000000004;
    String script_file "";
    String sourceUrl "";
    Float64 Southernmost_Northing 39.1;
    String spos_file "";
    String standard_name_vocabulary "CF Standard Name Table v29";
    String summary "MeteoGalicia - Model Roms - Galicia (Regional Ocean Modeling System (ROMS) METEO)";
    String svn_url "";
    String tiling "004x004";
    String time_coverage_end "2010-08-13T00:00:00Z";
    String time_coverage_start "2010-08-12T00:00:00Z";
    String title "MeteoGalicia, Model Roms, Galicia (ROMS METEO) (kk1), 0.02°, 2010";
    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{?query}
For example,[(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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