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Dataset Title:  cpc global precip, precip.2015 (CPC GLOBAL PRCP V1.0 RT), 0.5° Subscribe RSS
Institution:  NOAA ESRL   (Dataset ID: noaa_esrl_a631_0200_631b)
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 {
    Int32 _ChunkSizes 1;
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.4200704e+9, 1.45152e+9;
    String avg_period "0000-00-01 00:00:00";
    String axis "T";
    String coordinate_defines "start";
    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 -89.75, 89.75;
    String axis "Y";
    String coordinate_defines "center";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 actual_range 0.25, 359.75;
    String axis "X";
    String coordinate_defines "center";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  precip {
    Int32 _ChunkSizes 1, 360, 720;
    Float32 actual_range 0.0, 666.6939;
    String avg_period "0000-00-01 00:00:00";
    String cell_methods "time: sum";
    Float64 colorBarMaximum 800.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Meteorology";
    String level_desc "Surface";
    String long_name "Daily total of precipitation";
    Float32 missing_value -9.96921e+36;
    String parent_stat "Other";
    String statistic "Total";
    String units "mm";
    Float32 valid_range 0.0, 1000.0;
    String var_desc "Precipitation";
    String cdm_data_type "Grid";
    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 "CPC GLOBAL PRCP V1.0";
    Float64 Easternmost_Easting 359.75;
    Float64 geospatial_lat_max 89.75;
    Float64 geospatial_lat_min -89.75;
    Float64 geospatial_lat_resolution 0.5;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 359.75;
    Float64 geospatial_lon_min 0.25;
    Float64 geospatial_lon_resolution 0.5;
    String geospatial_lon_units "degrees_east";
    String history 
"created 9/2016 by CAS NOAA/ESRL PSD
    String id "";
    String infoUrl "";
    String institution "NOAA ESRL";
    String keywords "center, climate, cpc, daily, data, day, earth, esrl, global, laboratory, latitude, longitude, meteorology, noaa, prcp, precip.2015, precipitation, prediction, rain, rainfall, research, system, time, total, v1.0";
    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 89.75;
    String references "";
    String source "";
    String sourceUrl "";
    Float64 Southernmost_Northing -89.75;
    String standard_name_vocabulary "CF Standard Name Table v29";
    String summary "Climate Prediction Center (CPC) GLOBAL PRCP V1.0 RT (cpc global precip, precip.2015)";
    String time_coverage_end "2015-12-31T00:00:00Z";
    String time_coverage_start "2015-01-01T00:00:00Z";
    String title "cpc global precip, precip.2015 (CPC GLOBAL PRCP V1.0 RT), 0.5°";
    String version "V1.0";
    Float64 Westernmost_Easting 0.25;


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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