Make A Graph

Dataset Title:	CPC Merged Analysis of Precipitation (excludes NCEP Reanalysis) (precip.mon. ltm), 2.5°, 0001
Institution:	NOAA ESRL (Dataset ID: noaa_psl_2dd0_f89f_b999)
Information:	Summary \| License \| FGDC \| ISO 19115 \| Metadata \| Background \| Data Access Form

To work correctly, this web page requires that JavaScript be enabled in your browser. Please:
1) Enable JavaScript in your browser:
      • Chrome: "Settings : Advanced : Privacy and security : Site Settings : JavaScript"
      • Firefox: (it should be always on!)"
      • Opera: "Settings : Websites : JavaScript"
      • Safari: "Safari : Preferences : Security : Enable JavaScript"
2) Reload this web page.

Graph Type:
X Axis:
Y Axis:
Color:

Dimensions

Start

Stop

time (UTC)

specify just 1 value →

latitude (degrees_north)

longitude (degrees_east)

Graph Settings
Color Bar:	Continuity:	Scale:
Minimum:	Maximum:	N Sections:
Draw land mask:
Y Axis Minimum:	Maximum:

(Please be patient. It may take a while to get the data.)

Optional:
Then set the File Type: (File Type information)
and

or view the URL:
(Documentation / Bypass this form

)

Click on the map to specify a new center point.

Zoom:

[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:

Web page authors can embed a graph of the latest data in a web page using HTML <img> tags.
Anyone can use ERDDAPs Slide Sorter to build a personal web page that displays graphs with the latest data (or other images or HTML content), each in its own, draggable slide.

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 "1991/01/01 - 2020/12/31";
    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 1674264.0, 1936512.0;
    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 -88.75, 88.75;
    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 1.25, 358.75;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  precip {
    UInt32 _ChunkSizes 1, 72, 144;
    Float64 colorBarMaximum 1.0e-4;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Time";
    Int16 least_significant_digit 2;
    String level_desc "Surface";
    String long_name "Average Long Term Mean Monthly Rate of Precipitation";
    String parent_stat "Mean";
    Int16 precision 2;
    String standard_name "lwe_precipitation_rate";
    String statistic "Long Term Mean";
    String time_origin "01-JAN-1970 00:00:00";
    String time_precision "1970-01-01";
    String units "seconds since 1970-01-01T00:00:00Z";
    Float32 valid_range 0.0, 2000.0;
    String var_desc "Precipitation";
  }
  valid_yr_count {
    Float64 colorBarMaximum 100.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Statistics";
    String long_name "count of non-missing values used in mean";
    Int16 missing_value 32767;
  }
  NC_GLOBAL {
    String _NCProperties "version=2,netcdf=4.7.0,hdf5=1.10.5,";
    String cdm_data_type "Grid";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    String creator_email "webmaster.esrl@noaa.gov";
    String creator_name "NOAA ESRL";
    String creator_type "institution";
    String creator_url "https://www.esrl.noaa.gov/";
    String data_modified "2024-04-09";
    String dataset_title "CPC Merged Analysis of Precipitation";
    String date_modified "2019-02-26";
    String documentation "https://www.esrl.noaa.gov/psd/data/gridded/data.cmap.html";
    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 history 
"Created 2024/04/09 by doMonthLTMNC4
2024-04-27T12:02:23Z https://psl.noaa.gov/thredds/dodsC/Datasets/cmap/std/precip.mon.ltm.nc
2024-04-27T12:02:23Z http://upwell.pfeg.noaa.gov/griddap/noaa_psl_2dd0_f89f_b999.das";
    String id "Datasets/cmap/std/precip.mon.ltm.nc";
    String infoUrl "https://www.esrl.noaa.gov/psd/data/gridded/data.cmap.html";
    String institution "NOAA ESRL";
    String keywords "analysis, atmosphere, average, center, centers, climate, count, cpc, data, earth, Earth Science > Atmosphere > Precipitation > Liquid Water Equivalent, Earth Science > Atmosphere > Precipitation > Precipitation Rate, environmental, equivalent, esrl, excludes, laboratory, latitude, liquid, long, longitude, lwe, lwe_precipitation_rate, mean, merged, missing, month, monthly, national, ncep, noaa, non, non-missing, precip.mon.ltm, precipitation, prediction, rain, rainfall, rate, reanalysis, research, science, 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 88.75;
    String not_missing_threshold_percent "minimum 3% values input to have non-missing output value";
    String platform "Analyses";
    String references "https://www.psl.noaa.gov/data/gridded/data.cmap.html";
    String source "ftp ftp.cpc.ncep.noaa.gov precip/cmap/monthly";
    String sourceUrl "https://psl.noaa.gov/thredds/dodsC/Datasets/cmap/std/precip.mon.ltm.nc";
    Float64 Southernmost_Northing -88.75;
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary "Climate Prediction Center (CPC) Merged Analysis of Precipitation (excludes National Centers for Environmental Prediction (NCEP) Reanalysis) (precip.mon.ltm)";
    String time_coverage_end "0001-12-01T00:00:00Z";
    String time_coverage_start "0001-01-01T00:00:00Z";
    String title "CPC Merged Analysis of Precipitation (excludes NCEP Reanalysis) (precip.mon.ltm), 2.5°, 0001";
    String version "V2404";
    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.

(easy) You can get data by using the dataset's Data Access Form. It makes the URL for you.
(easy) You can make a graph or map by using the dataset's Make A Graph form. It makes the URL for you.
(not hard) You can bypass the forms and get the data or make a graph or map by generating the URL by hand or with a computer program or script.

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.