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Dataset Title:  NOAA Climate Data Record of PERSIANN-CDR daily precipitation lon_bnds By
longitude, nv   RSS
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 | Data Access Form
 
Graph Type:  ?
X Axis:  ?
Y Axis:  ?
Color:  ?
 
Dimensions ?    Start ?    Stop ?
longitude (degrees_east) ?
    +
    -
< slider >
nv (count) ?     specify just 1 value →
    |< -
< <
 
Graph Settings
Marker Type:   Size: 
Color: 
Color Bar:   Continuity:   Scale: 
   Minimum:   Maximum:   N Sections: 
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 ? )
    X range:           
[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 {
  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 "2024-08-23T13:49:59Z";
    String datetime "2024-03-29";
    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
2024-09-14T19:03:06Z https://www.ncei.noaa.gov/thredds/dodsC/ncFC/cdr/persiann-fc/PERSIANN:_aggregation_best.ncd
2024-09-14T19:03:06Z https://www.ncei.noaa.gov/griddap/cdr_persiann_by_lon_nv.das";
    String id "PERSIANN-CDR_v01r01_20240329_c20240823.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 "missingB1,GRIDSAT-B1.2024.03.29.03.v02r01.nc,GRIDSAT-B1.2024.03.29.06.v02r01.nc,GRIDSAT-B1.2024.03.29.09.v02r01.nc,GRIDSAT-B1.2024.03.29.12.v02r01.nc,GRIDSAT-B1.2024.03.29.15.v02r01.nc,GRIDSAT-B1.2024.03.29.18.v02r01.nc,GRIDSAT-B1.2024.03.29.21.v02r01.nc,gpcpv23_m2403.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.

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.


 
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