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Dataset Title:  Top Dataset, interp OLR, (Daily Mean Interpolated OLR) [time][
lat][lon], 2.5°, 1974-2017
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Institution:  NOAA ESRL   (Dataset ID: noaa_esrl_5b17_d335_40dd)
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Make a graph
Dimensions ? Start ? Stride ? Stop ?  Size ?    Spacing ?
 time (UTC) ?      16285    1 day (even)
  < slider >
 latitude (degrees_north) ?      73    -2.5 (even)
  < slider >
 longitude (degrees_east) ?      144    2.5 (even)
  < slider >
Grid Variables (which always also download all of the dimension variables)
 olr (Daily OLR, W/m^2) ?

File type: (more info)

(Documentation / Bypass this form) ?
(Please be patient. It may take a while to get the data.)


The Dataset Attribute Structure (.das) for this Dataset

Attributes {
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.392768e+8, 1.5462144e+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";
  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";
  olr {
    Float32 actual_range 77.25, 314.0;
    Float64 colorBarMaximum 332.0;
    Float64 colorBarMinimum 328.0;
    String ioos_category "Optical Properties";
    String level_desc "Other";
    String long_name "Daily OLR";
    Float32 missing_value 655.31;
    String parent_stat "Individual Obs";
    Int16 precision 2;
    String statistic "Mean";
    String units "W/m^2";
    Float32 valid_range 0.0, 500.0;
    String var_desc "Outgoing Longwave Radiation";
    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";
    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 
"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, interp, interpolated, laboratory, latitude, longitude, longwave, mean, noaa, olr,, optical, optical properties, outgoing, properties, 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";
    Float64 Northernmost_Northing 90.0;
    String platform "Observation";
    String references "";
    String source " precip/noaa..";
    String sourceUrl "";
    Float64 Southernmost_Northing -90.0;
    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 "2018-12-31T00:00:00Z";
    String time_coverage_start "1974-06-01T00:00:00Z";
    String title "Top Dataset, interp OLR, (Daily Mean Interpolated OLR) [time][lat][lon], 2.5°, 1974-2017";
    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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