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Dataset Title:  Top Dataset, interp OLR, (Daily Mean Interpolated OLR) [time][
nmiss], 1974-2017
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Institution:  NOAA ESRL   (Dataset ID: noaa_esrl_17c3_c2d5_f21d)
Information:  Summary ? | License ? | Metadata | Background (external link) | Data Access Form
Graph Type:  ?
X Axis:  ?
Y Axis:  ?
Color:  ?
Dimensions ?    Start ?    Stop ?
time (UTC) ?
    << - +
< slider >
nmiss (count) ?     specify just 1 value →
    << -
< <
Graph Settings
Marker Type:   Size: 
Color Bar:   Continuity:   Scale: 
   Minimum:   Maximum:   N Sections: 
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 ? )
    Time range:    <<    -              
[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 1.392768e+8, 1.4858208e+9;
    String axis "T";
    String delta_t "0000-00-01 00:00:00";
    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";
  nmiss {
    Int16 actual_range 0, 6;
    String ioos_category "Unknown";
    String long_name "Nmiss";
    String units "count";
  info {
    Float64 colorBarMaximum 15000.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Unknown";
    String long_name "Missing";
    Int16 missing_value 32766;
    Int16 valid_range 0, 10512;
    String cdm_data_type "Grid";
    String Citation "Liebmann and Smith: June 2006: Description of a Complete (Interpolated) Outgoing Longwave Radiation Dataset. Bulletin of the American Meteorological Society, 77, 1275-1277";
    String Conventions "CF-1.6, COARDS, ACDD-1.3";
    String creator_email "";
    String creator_name "NOAA ESRL PSD";
    String creator_type "institution";
    String creator_url "";
    String dataset_title "NOAA Interpolated Outgoing Longwave Radiation (OLR)";
    String description "Data is interpolated in time and space from NOAA twice-daily OLR values and averaged to once daily";
    String history 
"Tue May 10 11:37:33 2005: ncatted -a missing_value,info,o,s,32766 /Datasets/interp_OLR/
/home/hoop/crdc/oldCRDC2COARDSv3/oldCRDC2COARDS Sat Dec  9 01:36:34 1995 from
created 08/24/94 by C. Smith (netCDF2.3)
    String id "Datasets/interp_OLR/";
    String infoUrl "";
    String institution "NOAA ESRL";
    String keywords "daily, data, dataset, day, earth, esrl, info, interp, interpolated, laboratory, longwave, mean, missing, nmiss, noaa, olr,, outgoing, radiation, research, system, time, top";
    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 "4.0.0";
    String platform "Observation";
    String references "";
    String source " precip/noaa..";
    String sourceUrl "";
    String standard_name_vocabulary "CF Standard Name Table v55";
    String summary "Daily Mean Interpolated Outgoing Longwave Radiation (OLR). Data is interpolated in time and space from NOAA twice-daily OLR values and averaged to once daily";
    String time_coverage_end "2017-01-31T00:00:00Z";
    String time_coverage_start "1974-06-01T00:00:00Z";
    String title "Top Dataset, interp OLR, (Daily Mean Interpolated OLR) [time][nmiss], 1974-2017";


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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