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Dataset Title:  Top Dataset, monolevel, snohf.mon.ltm (Monthly NARR) [time][y][x], 0001 Subscribe RSS
Institution:  National Centers for Environmental Prediction   (Dataset ID: noaa_esrl_2d47_fbcd_f586)
Information:  Summary ? | License ? | Metadata | Background (external link) | Make a graph
 
Dimensions ? Start ? Stride ? Stop ?  Size ?    Spacing ?
 time (UTC) ?      12    30 days 8h 43m 38s (uneven)
  < slider >
 y (m) ?      277    32463.0 (even)
  < slider >
 x (m) ?      349    32462.99 (uneven)
  < slider >
 
Grid Variables (which always also download all of the dimension variables)
 snohf (Long Term Monthly Mean Snow Phase-change Heat at Surface, W/m^2) ?

File type: (more info)

(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 {
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range -6.21357696e+10, -6.2106912e+10;
    String avg_period "0025-00-00 00:00:00";
    String axis "T";
    String coordinate_defines "start";
    String delta_t "0000-01-00 00:00:00";
    String ioos_category "Time";
    String long_name "Time";
    Float64 ltm_range 1586616.0, 1849560.0;
    String prev_avg_period "0000-00-01 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";
  }
  y {
    Float32 actual_range 0.0, 8959788.0;
    String ioos_category "Location";
    String long_name "northward distance from southwest corner of domain in projection coordinates";
    String standard_name "projection_y_coordinate";
    String units "m";
  }
  x {
    Float32 actual_range 0.0, 1.129712e+7;
    String ioos_category "Location";
    String long_name "eastward distance from southwest corner of domain in projection coordinates";
    String standard_name "projection_x_coordinate";
    String units "m";
  }
  snohf {
    Float32 actual_range -155.7772, 0.006597519;
    String cell_methods "time: mean within months time: mean over months time: mean over years";
    Float64 colorBarMaximum 50.0;
    Float64 colorBarMinimum -200.0;
    Int32 GRIB_id 229;
    String GRIB_name "SNOHF";
    String grid_mapping "Lambert_Conformal";
    String ioos_category "Ice Distribution";
    String level_desc "Surface";
    String long_name "Long Term Monthly Mean Snow Phase-change Heat at Surface";
    Float32 missing_value -9.96921e+36;
    String parent_stat "Mean";
    Int16 precision 1;
    String statistic "Long Term Mean";
    String units "W/m^2";
    Float32 valid_range -1300.0, 220.0;
    String var_desc "snow phase-change heat";
  }
  NC_GLOBAL {
    String cdm_data_type "Grid";
    Float64 centerlat 50.0;
    Float64 centerlon -107.0;
    String Conventions "CF-1.6, COARDS, ACDD-1.3";
    String creator_name "NOAA NCEP";
    String creator_type "institution";
    String creator_url "http://www.ncep.noaa.gov/";
    String dataset_title "NCEP North American Regional Reanalysis (NARR)";
    String history 
"created 2006/07 by data management at NOAA/ESRL/PSD
2018-08-16T02:45:54Z https://www.esrl.noaa.gov/psd/thredds/dodsC/Datasets/NARR/Derived/monolevel/snohf.mon.ltm.nc
2018-08-16T02:45:54Z http://upwell.pfeg.noaa.gov/erddap/griddap/noaa_esrl_2d47_fbcd_f586.das";
    String id "Datasets/NARR/Derived/monolevel/snohf.mon.ltm.nchttps://www.esrl.noaa.gov/psd/thredds/dodsC/Datasets/NARR/Derived/monolevel/snohf.mon.ltm.nc";
    String infoUrl "https://www.esrl.noaa.gov/psd/data/gridded/data.narr.html";
    String institution "National Centers for Environmental Prediction";
    String keywords "centers, change, data, dataset, distribution, environmental, heat, ice, ice distribution, long, mean, monolevel, month, monthly, narr, national, phase, phase-change, prediction, snohf, snohf.mon.ltm, snow, surface, term, time, top";
    Float32 latcorners 1.000001, 0.897945, 46.3544, 46.63433;
    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.";
    Float32 loncorners -145.5, -68.32005, -2.569891, 148.6418;
    String platform "Model";
    String references "https://www.esrl.noaa.gov/psd/data/gridded/data.narr.html";
    String source "http://www.emc.ncep.noaa.gov/mmb/rreanl/index.html";
    String sourceUrl "https://www.esrl.noaa.gov/psd/thredds/dodsC/Datasets/NARR/Derived/monolevel/snohf.mon.ltm.nc";
    String standard_name_vocabulary "CF Standard Name Table v55";
    Float64 standardpar1 50.0;
    Float64 standardpar2 50.000001;
    String stream "s1";
    String summary "Monthly NARR (Top Dataset, monolevel, snohf.mon.ltm)";
    String time_coverage_end "0001-12-01T00:00:00Z";
    String time_coverage_start "0001-01-01T00:00:00Z";
    String title "Top Dataset, monolevel, snohf.mon.ltm (Monthly NARR) [time][y][x], 0001";
  }
}

 

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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