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Dataset Title:	4x daily NMC reanalysis (1981) (surface gauss, cprat.sfc.4Xday.1981-2010.ltm)
Institution:	NOAA NCEP, NCAR (Dataset ID: noaa_pmel_4273_4ac7_bd62)
Information:	Summary \| License \| FGDC \| ISO 19115 \| Metadata \| Background \| Data Access Form

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:
Min: Max: N Sections:
Draw the land mask:

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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:

Web page authors can embed a graph of the latest data in a web page using HTML <img> tags.
Anyone can use Slide Sorter to build a personal web page that displays graphs of the latest data, 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, -6.21042552e+10;
    String avg_period "0030-00-00 00:00:00";
    String axis "T";
    String climatology "climatology_bounds";
    String climo_period "1981/01/01 00Z - 2010/12/31 18Z";
    String delta_t "0000-00-00 06:00:00";
    String ioos_category "Time";
    String long_name "Time";
    Float64 ltm_range 1.7356368e+7, 1.761933e+7;
    String prev_avg_period "0000-00-00 06:00:00";
    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 88.542, -88.542;
    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 0.0, 358.125;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  cprat {
    String _CoordinateAxes "time lat lon";
    Float32 actual_range 5.234568E-11, 4.897001E-4;
    Float64 colorBarMaximum 1.0e-4;
    Float64 colorBarMinimum 0.0;
    String dataset "CDC Derived NCEP Reanalysis Products";
    String drawLandMask "under";
    Int16 GRIB_id 214;
    String GRIB_name "CPRAT";
    String ioos_category "Meteorology";
    Int16 least_significant_digit 6;
    String level_desc "Surface";
    String long_name "Long Term Mean 4xDaily Convective Precipitation Rate at surface";
    Float32 missing_value -9.96921E36;
    String parent_stat "Mean";
    Int16 precision 7;
    String standard_name "lwe_precipitation_rate";
    String statistic "Long Term Mean";
    String units "Kg/m^2/s";
    Float32 valid_range -1.0E-4, 0.0015;
    String var_desc "Convective Precipitation Rate";
  }
  valid_yr_count {
    String _CoordinateAxes "time lat lon";
    Float64 colorBarMaximum 100.0;
    Float64 colorBarMinimum 0.0;
    String drawLandMask "under";
    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 Conventions "COARDS, CF-1.6, Unidata Dataset Discovery v1.0";
    String creator_email "Wesley.Ebisuzaki@noaa.gov";
    String creator_name "NOAA NCEP, NCAR";
    String creator_url "http://www.cpc.ncep.noaa.gov/products/wesley/reanalysis.html";
    String description 
"Data is from NMC initialized reanalysis
(4x/day).  It consists of T62 variables interpolated to
pressure surfaces from model (sigma) surfaces.";
    Float64 Easternmost_Easting 358.125;
    Float64 geospatial_lat_max 88.542;
    Float64 geospatial_lat_min -88.542;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 358.125;
    Float64 geospatial_lon_min 0.0;
    Float64 geospatial_lon_resolution 1.875;
    String geospatial_lon_units "degrees_east";
    String history 
"Created 2011/06/29 by do4XdayLTM
2013-02-21T08:11:41Z http://ferret.pmel.noaa.gov/geoide/dodsC/Datasets/ncep.reanalysis.derived/surface_gauss/cprat.sfc.4Xday.1981-2010.ltm.nc
2013-02-21T08:11:41Z http://upwell.pfeg.noaa.gov/griddap/noaa_pmel_4273_4ac7_bd62.das";
    String infoUrl "http://ferret.pmel.noaa.gov/geoide/dodsC/Datasets/ncep.reanalysis.derived/surface_gauss/cprat.sfc.4Xday.1981-2010.ltm.nc.html";
    String institution "NOAA NCEP, NCAR";
    String keywords 
"2010.ltm, 4xdaily, atmosphere,
Atmosphere > Precipitation > Liquid Water Equivalent,
Atmosphere > Precipitation > Precipitation Rate,
convective, count, cprat.sfc.4xday.1981, cprat.sfc.4xday.1981-2010.ltm,
daily, equivalent, gauss, liquid, long, lwe, lwe_precipitation_rate, mean,
meteorology, missing, ncar, ncep, nmc, noaa, non, non-missing, precipitation,
rate, reanalysis, statistics, surface, term, used, 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.";
    String Metadata_Conventions "COARDS, CF-1.6, Unidata Dataset Discovery v1.0";
    Float64 Northernmost_Northing 88.542;
    String not_missing_threshold_percent "minimum 3% values input to have non-missing output value";
    String platform "Model";
    String references "http://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanalysis.html";
    String sourceUrl "http://ferret.pmel.noaa.gov/geoide/dodsC/Datasets/ncep.reanalysis.derived/surface_gauss/cprat.sfc.4Xday.1981-2010.ltm.nc";
    Float64 Southernmost_Northing -88.542;
    String standard_name_vocabulary "CF-12";
    String summary 
"Data is from NMC initialized reanalysis
(4x/day).  It consists of T62 variables interpolated to
pressure surfaces from model (sigma) surfaces.";
    String time_coverage_end "0001-12-31T18:00:00Z";
    String time_coverage_start "0001-01-01T00:00:00Z";
    String title "4x daily NMC reanalysis (1981) (surface gauss, cprat.sfc.4Xday.1981-2010.ltm)";
    Float64 Westernmost_Easting 0.0;
  }
}

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 Data Access Protocol (DAP) and its projection constraints.

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
http://upwell.pfeg.noaa.gov/erddap/griddap/datasetID.fileType{?query}
For example,
http://upwell.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 variable name (e.g., sst),
followed by a set of [] for each of the variable's dimensions
(for example, [time][altitude][latitude][longitude]),
with your desired (start):stride:(stop) values within each [].

For details, see the griddap Documentation.

ERDDAP, Version 1.42
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