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Dataset Title:  Precipitation Reconstruction over Land (PREC/L): 1.0x1.0 (1.0deg, precip.mon.
1981-2010.ltm.1x1), 0001
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Institution:  NOAA ESRL/PSD   (Dataset ID: noaa_esrl_0460_03e4_917f)
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Data Access Form
 
Graph Type:  ?
X Axis:  ?
Y Axis:  ?
Color:  ?
 
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time (UTC) ?     specify just 1 value →
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< <
latitude (degrees_north) ?
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< slider >
longitude (degrees_east) ?
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Color Bar:   Continuity:   Scale: 
   Minimum:   Maximum:   N Sections: 
Draw land mask: 
Y Axis Minimum:   Maximum:   Ascending: 
 
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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 -6.21357696e+10, -6.2106912e+10;
    String avg_period "0030-00-00 00:00:00";
    String axis "T";
    String climatology "climatology_bounds";
    String climo_period "1981/01/01 - 2010/12/31";
    String coordinate_defines "start";
    String delta_t "0000-01-00 00:00:00";
    String interpreted_actual_range "0001/01/01 00:00:00 - 0001/12/01 00:00:00";
    String ioos_category "Time";
    String long_name "Time";
    Float64 ltm_range 1586616.0, 1848840.0;
    String prev_avg_period "0000-01-00 00:00:00";
    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 -89.5, 89.5;
    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 0.5, 359.5;
    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, 180, 360;
    Float32 actual_range 0.0, 39.49333;
    Float64 colorBarMaximum 1.0e-4;
    Float64 colorBarMinimum 0.0;
    Float32 Fill_Value -9.96921e+36;
    String ioos_category "Meteorology";
    Int16 least_significant_digit 2;
    String level_desc "Surface";
    String long_name "Average Long Term Monthly Rate of Precipitation";
    Float32 missing_value -9.96921e+36;
    String parent_stat "Mean";
    Int16 precision 2;
    String standard_name "lwe_precipitation_rate";
    String statistic "Long Term Mean";
    String units "mm/day";
    Float32 valid_range 0.0, 100.0;
    String var_desc "Precipitation";
  }
  valid_yr_count {
    Int32 _ChunkSizes 1, 180, 360;
    Float64 colorBarMaximum 100.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Statistics";
    String long_name "count of non-missing values used in mean";
    Float32 missing_value NaN;
  }
  NC_GLOBAL {
    String cdm_data_type "Grid";
    String citation "Chen, M., P. Xie, J. E. Janowiak, and P. A. Arkin, 2002: Global Land Precipitation: A 50-yr Monthly Analysis Based on Gauge Observations, J. of Hydrometeorology, 3, 249-266";
    String Conventions "CF-1.6, COARDS, ACDD-1.3";
    String creator_email "esrl.psd.data@noaa.gov";
    String creator_name "NOAA ESRL PSD";
    String creator_type "institution";
    String creator_url "https://www.esrl.noaa.gov/psd/";
    String dataset_title "Precipitation Reconstruction over Land (PREC/L)";
    Float64 Easternmost_Easting 359.5;
    Float64 geospatial_lat_max 89.5;
    Float64 geospatial_lat_min -89.5;
    Float64 geospatial_lat_resolution 1.0;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 359.5;
    Float64 geospatial_lon_min 0.5;
    Float64 geospatial_lon_resolution 1.0;
    String geospatial_lon_units "degrees_east";
    String history 
"Created 2012/08/24 by doMonthLTM
2018-02-17T19:37:12Z https://www.esrl.noaa.gov/psd/thredds/dodsC/Datasets/precl/1.0deg/precip.mon.1981-2010.ltm.1x1.nc
2018-02-17T19:37:12Z http://upwell.pfeg.noaa.gov/griddap/noaa_esrl_0460_03e4_917f.das";
    String id "Datasets.precl.1.0deg.precip.mon.1981-2010.ltm.1x1.nc";
    String infoUrl "https://www.esrl.noaa.gov/psd/data/gridded/data.precl.html";
    String institution "NOAA ESRL/PSD";
    String keywords "1.0deg, 1.0x1.0, 2010.ltm.1x1, atmosphere, average, count, data, division, earth, Earth Science > Atmosphere > Precipitation > Liquid Water Equivalent, Earth Science > Atmosphere > Precipitation > Precipitation Rate, equivalent, esrl, laboratory, land, latitude, liquid, long, longitude, lwe, lwe_precipitation_rate, mean, meteorology, missing, month, monthly, noaa, non, non-missing, over, physical, prec, precip.mon.1981, precip.mon.1981-2010.ltm.1x1, precipitation, psd, rain, rainfall, rate, reconstruction, research, science, sciences, statistics, system, term, time, used, valid_yr_count, values, water";
    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 89.5;
    String not_missing_threshold_percent "minimum 3% values input to have non-missing output value";
    String platform "Analyses";
    String references "https://www.esrl.noaa.gov/psd/data/gridded/data.precl.html";
    String sourceUrl "https://www.esrl.noaa.gov/psd/thredds/dodsC/Datasets/precl/1.0deg/precip.mon.1981-2010.ltm.1x1.nc";
    Float64 Southernmost_Northing -89.5;
    String standard_name_vocabulary "CF Standard Name Table v29";
    String summary "Precipitation Reconstruction over Land (PREC/L): 1.0x1.0 (1.0deg, precip.mon.1981-2010.ltm.1x1)";
    String time_coverage_end "0001-12-01T00:00:00Z";
    String time_coverage_start "0001-01-01T00:00:00Z";
    String title "Precipitation Reconstruction over Land (PREC/L): 1.0x1.0 (1.0deg, precip.mon.1981-2010.ltm.1x1), 0001";
    Float64 Westernmost_Easting 0.5;
  }
}

 

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
https://upwell.pfeg.noaa.gov/erddap/griddap/datasetID.fileType{?query}
For example,
https://upwell.pfeg.noaa.gov/erddap/griddap/jplMURSST41.htmlTable?analysed_sst[(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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