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Dataset Title:  monitor, (GPCC 2.5x2.5
Precipitation (Monitoring)), 2007-2014
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Institution:  NOAA ESRL   (Dataset ID: noaa_esrl_2385_daf9_7564)
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Make a graph
Dimensions ? Start ? Stride ? Stop ?  Size ?    Spacing ?
 time (UTC) ?      96    30 days 10h 21m 28s (uneven)
  < slider >
 latitude (degrees_north) ?      72    -2.5 (even)
  < slider >
 longitude (degrees_east) ?      144    2.5 (even)
  < slider >
Grid Variables (which always also download all of the dimension variables)
 precip (GPCC Precipitation: Monitoring Version, mm) ?

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 1.1676096e+9, 1.417392e+9;
    String axis "T";
    String coordinate_defines "start";
    String delta_t "0000-01-00 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 totalling_period "0000-01-00 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range -88.75, 88.75;
    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 1.25, 358.75;
    String axis "X";
    String coordinate_defines "center";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  precip {
    Float32 actual_range 0.0, 1674.55;
    Float64 colorBarMaximum 1.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Meteorology";
    Int16 least_significant_digit 2;
    String level_desc "Surface";
    String long_name "GPCC Precipitation: Monitoring Version";
    Float32 missing_value -9.96921e+36;
    String parent_stat "Individual Obs";
    Int16 precision 2;
    String standard_name "precipitation_amount";
    String statistic "Total";
    String units "mm";
    Float32 valid_range 0.0, 3000.0;
    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 "Global Precipitation Climatology Centre (GPCC)";
    Float64 Easternmost_Easting 358.75;
    Float64 geospatial_lat_max 88.75;
    Float64 geospatial_lat_min -88.75;
    Float64 geospatial_lat_resolution 2.5;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 358.75;
    Float64 geospatial_lon_min 1.25;
    Float64 geospatial_lon_resolution 2.5;
    String geospatial_lon_units "degrees_east";
    String GPCC_2.5x2.5_Precipitation_%28Monitoring%29 "title";
    String GPCC_2_5x2_5_Precipitation_28Monitoring_29 "title";
    String history 
"Thu Oct  1 10:03:03 2015: ncrename -a Documentation,references
created mar 2013 NOAA/PSD
    String id "";
    String infoUrl "";
    String institution "NOAA ESRL";
    String keywords "2.5x2.5, amount, atmosphere, centre, climatology, data, earth, Earth Science > Atmosphere > Precipitation > Precipitation Amount, esrl, global, gpcc, laboratory, latitude, longitude, meteorology, monitor, monitoring, noaa,, precipitation, precipitation_amount, rain, rainfall, research, science, system, time, version";
    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 88.75;
    String Original_Source 
 is the webpage and the data is at";
    String platform "Observation";
    String references "";
    String source "GPCC";
    String sourceUrl "";
    Float64 Southernmost_Northing -88.75;
    String standard_name_vocabulary "CF Standard Name Table v29";
    String summary "Global Precipitation Climatology Centre (GPCC) 2.5x2.5 Precipitation (Monitoring) (monitor,";
    String time_coverage_end "2014-12-01T00:00:00Z";
    String time_coverage_start "2007-01-01T00:00:00Z";
    String title "monitor, (GPCC 2.5x2.5 Precipitation (Monitoring)), 2007-2014";
    Float64 Westernmost_Easting 1.25;


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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