Data Access Form

Dataset Title:	NOAA Climate Data Record of PERSIANN-CDR daily precipitation lon_bnds By longitude, nv
Institution:	UC-IRVINE/CHRS, Center for Hydrometeorology and Remote Sensing, University of California, Irvine (Dataset ID: cdr_persiann_by_lon_nv)
Information:	Summary \| License \| Metadata \| Background \| Make a graph

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Dimensions	Size	Spacing
longitude (degrees_east)	1440	0.25 (even)

nv (count)	2	1.0 (even)

Grid Variables (which always also download all of the dimension variables)

lon_bnds

File type: (more information)

(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 {
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 actual_range 0.125, 359.875;
    String axis "X";
    String bounds "lon_bnds";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
    Float32 valid_max 360.0;
    Float32 valid_min 0.0;
  }
  nv {
    Int16 actual_range 0, 1;
    String units "count";
  }
  lon_bnds {
  }
  NC_GLOBAL {
    String _CoordSysBuilder "ucar.nc2.dataset.conv.CF1Convention";
    String cdm_data_type "Grid";
    String cdr_program "NOAA Climate Data Record Program";
    String cdr_variable "precipitation";
    String comment "Daily PERSIANN-CDR precipitation estimates for long-term data record. [NOTE: v01r01 replaces v01r00]";
    String contributor_name "Soroosh Sorooshian, Kuolin Hsu, Hamed Ashouri, Dan Braithwaite";
    String contributor_role "PrincipalInvestigator, Professor, Author, Author";
    String Conventions "CF-1.4";
    String creator_email "dbraithw@uci.edu";
    String creator_name "Dan Braithwaite";
    String creator_url "http://www.chrs.web.uci.edu/";
    String date_created "2024-01-05T17:39:58Z";
    String datetime "2023-09-29";
    Float64 Easternmost_Easting 359.875;
    Float64 geospatial_lon_max 359.875;
    Float64 geospatial_lon_min 0.125;
    Float64 geospatial_lon_resolution 0.25;
    String geospatial_lon_units "degrees_east";
    String history 
"FMRC Best Dataset
2024-04-16T16:51:14Z https://www.ncei.noaa.gov/thredds/dodsC/ncFC/cdr/persiann-fc/PERSIANN:_aggregation_best.ncd
2024-04-16T16:51:14Z https://www.ncei.noaa.gov/erddap/griddap/cdr_persiann_by_lon_nv.das";
    String id "PERSIANN-CDR_v01r01_20230929_c20240105.nc";
    String infoUrl "https://www.ncei.noaa.gov/thredds/catalog/ncFC/cdr/persiann-fc/catalog.html?dataset=ncFC/cdr/persiann-fc/PERSIANN:_aggregation_best.ncd";
    String institution "UC-IRVINE/CHRS, Center for Hydrometeorology and Remote Sensing, University of California, Irvine";
    String keywords "Earth Science > Atmosphere > Precipitation";
    String keywords_vocabulary "GCMD Keywords, Version 8.0.0.0.0";
    String license "No constraints on data access or use.";
    String location "Proto fmrc:PERSIANN:_aggregation";
    String Metadata_Conventions "CF-1.6,Unidata Dataset Discovery v1.0, NOAA CDR v1.0, GDS v2.0";
    String metadata_link "gov.noaa.ncdc:C00854";
    String naming_authority "gov.noaa.ncdc";
    String product_version "v01r01";
    String project "Satellite Data Support for Hydrologic and Water Resources Planning and Management.  Sponsor: NOAA";
    String source "GRIDSAT-B1.2023.09.29.00.v02r01.nc,GRIDSAT-B1.2023.09.29.03.v02r01.nc,GRIDSAT-B1.2023.09.29.06.v02r01.nc,GRIDSAT-B1.2023.09.29.09.v02r01.nc,GRIDSAT-B1.2023.09.29.12.v02r01.nc,GRIDSAT-B1.2023.09.29.15.v02r01.nc,GRIDSAT-B1.2023.09.29.18.v02r01.nc,GRIDSAT-B1.2023.09.29.21.v02r01.nc,gpcpv23_m2309.bin";
    String sourceUrl "https://www.ncei.noaa.gov/thredds/dodsC/ncFC/cdr/persiann-fc/PERSIANN:_aggregation_best.ncd";
    String spatial_resolution "0.25 degrees";
    String standard_name_vocabulary "CF Standard Name Table (v26, 08 November 2013)";
    String summary "NOAA Climate Data Record (CDR) of Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks (PERSIANN-CDR), Version 1 Revision 1. Daily near global precipitation estimates at 0.25 deg resolution over 30-year record. [NOTE: v01r01 replaces v01r00] lon_bnds Dimensioned By longitude, nv.";
    String title "NOAA Climate Data Record of PERSIANN-CDR daily precipitation lon_bnds By longitude, nv";
    Float64 Westernmost_Easting 0.125;
  }
}

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://coastwatch.pfeg.noaa.gov/erddap/griddap/datasetID.fileType{?query}
For example,
https://coastwatch.pfeg.noaa.gov/erddap/griddap/erdBAssta5day.htmlTable?sst[(2007-10-21T00:00:00)][0][(-75):100:(75)][(180):100:(360)]
Thus, the query is often a data variable name (e.g., sst), followed by [(start):stride:(stop)] (or a shorter variation of that) for each of the variable's dimensions (for example, [time][altitude][latitude][longitude]).

For details, see the griddap Documentation.