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Dataset Title:  Top Dataset, surface, hgt.sfc (4x daily NMC reanalysis), 2.5°, 1985 Subscribe RSS
Institution:  NOAA NWS NCEP, NCAR   (Dataset ID: noaa_esrl_6e4e_7957_b4dd)
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 →
< <
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 4.733856e+8, 4.733856e+8;
    String axis "T";
    String delta_t "0000-00-00 06:00:00";
    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";
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range -90.0, 90.0;
    String axis "Y";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 actual_range 0.0, 357.5;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  hgt {
    Float32 actual_range -583.0, 5659.0;
    Float64 colorBarMaximum 1000.0;
    Float64 colorBarMinimum -50.0;
    String drawLandMask "under";
    Int16 GRIB_id 7;
    String GRIB_name "HGT";
    String ioos_category "Sea Level";
    Int16 least_significant_digit 0;
    String level_desc "Surface";
    String long_name "4xDaily Geopotential height";
    Float32 missing_value -9.96921e+36;
    String parent_stat "Other";
    Int16 precision 0;
    String standard_name "geopotential_height";
    String statistic "Individual Obs";
    String units "m";
    Float32 valid_range -1200.0, 6300.0;
    String var_desc "Geopotential height";
    String cdm_data_type "Grid";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    String creator_email "";
    String creator_name "NOAA NWS NCEP, NCAR";
    String creator_type "institution";
    String creator_url "";
    String dataset_title "NCEP-NCAR Reanalysis 1";
    String description 
"Data is from NMC initialized reanalysis.
It consists of most variables interpolated to
pressure surfaces from model (sigma) surfaces.";
    Float64 Easternmost_Easting 357.5;
    Float64 geospatial_lat_max 90.0;
    Float64 geospatial_lat_min -90.0;
    Float64 geospatial_lat_resolution 2.5;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 357.5;
    Float64 geospatial_lon_min 0.0;
    Float64 geospatial_lon_resolution 2.5;
    String geospatial_lon_units "degrees_east";
    String history 
"/home/hoop/crdc/cpreanjuke2farm/cpreanjuke2farm Thu Oct 26 13:56:27 1995 from
created 95/02/06 by Hoop (netCDF2.3)
Converted to chunked, deflated non-packed NetCDF4 2014/09
    String id "Datasets/ncep.reanalysis.derived/surface/hgt.sfc.nc";
    String infoUrl "";
    String institution "NOAA NWS NCEP, NCAR";
    String keywords "4xdaily, altitude, atmosphere, atmospheric, center, centers, daily, data, dataset, day, earth, Earth Science > Atmosphere > Altitude > Geopotential Height, environmental, geopotential, geopotential_height, height, hgt, hgt.sfc, latitude, level, longitude, meteorological, national, ncar, ncep, nmc, noaa, nws, prediction, reanalysis, research, science, sea, sea level, service, surface, time, top, weather";
    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.";
    Float64 Northernmost_Northing 90.0;
    String platform "Model";
    String references "";
    String sourceUrl "";
    Float64 Southernmost_Northing -90.0;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String summary 
"4x daily National Meteorological Center (NMC) reanalysis. Data is from NMC initialized reanalysis.
It consists of most variables interpolated to
pressure surfaces from model (sigma) surfaces.";
    String time_coverage_end "1985-01-01T00:00:00Z";
    String time_coverage_start "1985-01-01T00:00:00Z";
    String title "Top Dataset, surface, hgt.sfc (4x daily NMC reanalysis), 2.5°, 1985";
    Float64 Westernmost_Easting 0.0;


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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