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Dataset Title:  NOAA NWS Historical Hydrology Data, Air Temperature, AORC ABRFC (Oklahoma),
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Institution:  NOAA NWS   (Dataset ID: NWS_HH_AORC_ABRFC_4km_AT)
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Data Access Form | Files
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:   
(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 2.843424e+8, 3.155256e+8;
    String axis "T";
    String calendar "standard";
    String ioos_category "Time";
    String long_name "verification time generated by wgrib2 function verftime()";
    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 33.0332812, 39.7332544;
    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 -106.9667587999893, -91.76681959998223;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  TMP_2maboveground {
    Float32 _FillValue -3549.85;
    Float64 colorBarMaximum 40.0;
    Float64 colorBarMinimum -10.0;
    String ioos_category "Temperature";
    String level "2 m above ground";
    String long_name "Temperature";
    Float32 missing_value -3549.85;
    String short_name "TMP_2maboveground";
    String standard_name "air_temperature";
    String units "degree_C";
    String CDI "Climate Data Interface version 1.9.0 (";
    String cdm_data_type "Grid";
    String CDO "Climate Data Operators version 1.9.0 (";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    String creator_email "";
    String creator_institution "NOAA NWS";
    String creator_name "David Kitzmiller";
    String creator_type "person";
    Float64 Easternmost_Easting -91.76681959998223;
    Float64 geospatial_lat_max 39.7332544;
    Float64 geospatial_lat_min 33.0332812;
    Float64 geospatial_lat_resolution 0.033333200000000014;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -91.76681959998223;
    Float64 geospatial_lon_min -106.9667587999893;
    Float64 geospatial_lon_resolution 0.033333200000015495;
    String geospatial_lon_units "degrees_east";
    Int32 GRIB2_grid_template 0;
    String history 
"Tue Oct 16 06:09:19 2018: ncks -d longitude,-107.0,-91.75 -d latitude,33.0,39.75 t5.nc4 AORC_TMP_ABRFC_1979123121.nc4
Tue Oct 16 06:09:18 2018: cdo -samplegrid,4 /aorc-historic/AORC_1979/AORC_tempr_197912/AORC_TMP_1979123121.nc4 t.nc4
2021-04-14T08:27:14Z (local files)
    String infoUrl "";
    String institution "NOAA NWS";
    String keywords "data, latitude, local, longitude, source, temperature, time, TMP_2maboveground";
    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 NCO "20181016";
    Float64 Northernmost_Northing 39.7332544;
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 33.0332812;
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary 
"NOAA National Weather Service (NWS) Historical Hydrology, Analysis of Record for Calibration (AORC), air temperature data for the AORC ABRFC (Oklahoma) region, using data from .
Instantaneous 2-m above ground temperature valid at nominal file time, and 1-h precipitation
accumulation ending at the nominal file time. The period covered is 5 January 1979 to 31
December 2017. Data are stored at a precision of 0.1K and 0.1mm. Data are unprojected, that
is, defined by a latitude/longitude grid. File collections on the ftp server are from a thinned
AORC grid at a spacing of 0.032 degrees, approximately 4-km mesh.";
    String time_coverage_end "1979-12-31T22:00:00Z";
    String time_coverage_start "1979-01-05T00:00:00Z";
    String title "NOAA NWS Historical Hydrology Data, Air Temperature, AORC ABRFC (Oklahoma), 1979 [EXPERIMENTAL DEMONSTRATION]";
    Float64 Westernmost_Easting -106.9667587999893;


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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