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Dataset Title:  8x Daily NARR (qvflux.2019) [time][y][x] Subscribe RSS
Institution:  National Centers for Environmental Prediction   (Dataset ID: noaa_psl_e731_7bd2_95ad)
Information:  Summary ? | License ? | Metadata | Background (external link) | Make a graph
 
Dimensions ? Start ? Stride ? Stop ?  Size ?    Spacing ?
 time (UTC) ?      365    1 day (even)
  < 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) 
 qvflux (daily Upward Shortwave Radiation Flux at Surface, W/m^2) ?

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 {
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.5463008e+9, 1.5777504e+9;
    String axis "T";
    String coordinate_defines "start";
    String delta_t "0000-00-01 00:00:00";
    String ioos_category "Time";
    String long_name "Time";
    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";
  }
  qvflux {
    Float32 _FillValue -9.96921e+36;
    Float32 actual_range -1130.766, 1632.305;
    Float64 colorBarMaximum 500.0;
    Float64 colorBarMinimum -500.0;
    Int32 GRIB_id 211;
    String GRIB_name "QVFLUX";
    String ioos_category "Heat Flux";
    String level_desc "Surface";
    String long_name "daily Upward Shortwave Radiation Flux at Surface";
    Float32 missing_value -9.96921e+36;
    String parent_stat "Other";
    Int16 precision 1;
    String statistic "Individual Obs";
    String units "W/m^2";
    Float32 valid_range 0.0, 900.0;
    String var_desc "upward shortwave radiation flux";
  }
  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 "National Centers for Environmental Prediction";
    String creator_type "group";
    String creator_url "https://www.ncep.noaa.gov/";
    String dataset_title "NCEP North American Regional Reanalysis (NARR)";
    Float64 grid_mapping_false_easting 5632642.22547;
    Float64 grid_mapping_false_northing 4612545.65137;
    Float64 grid_mapping_latitude_of_projection_origin 50.0;
    Float64 grid_mapping_longitude_of_central_meridian -107.0;
    String grid_mapping_name "lambert_conformal_conic";
    Float64 grid_mapping_standard_parallel 50.0, 50.0;
    String history 
"Thu Sep  3 15:34:56 2009: ncatted -O -a scale_factor,qvflux,d,, qvflux.1999.nc
created 2006/07 by data management at NOAA/ESRL/PSD
2024-11-21T15:54:30Z https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/daily/qvflux.2019.nc
2024-11-21T15:54:30Z http://upwell.pfeg.noaa.gov/erddap/griddap/noaa_psl_e731_7bd2_95ad.das";
    String id "Datasets/NARR/Derived/daily/qvflux.2019.nc";
    String infoUrl "https://www.esrl.noaa.gov/psd/data/gridded/data.narr.html";
    String institution "National Centers for Environmental Prediction";
    String keywords "centers, daily, data, day, environmental, flux, heat, heat flux, narr, national, ncep, prediction, qvflux, qvflux.2019, radiation, shortwave, surface, time, upward";
    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://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/daily/qvflux.2019.nc";
    String standard_name_vocabulary "CF Standard Name Table v70";
    Float64 standardpar1 50.0;
    Float64 standardpar2 50.000001;
    String stream "s1";
    String summary "8x Daily NARR (qvflux.2019). National Centers for Environmental Prediction data from https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Derived/daily/qvflux.2019.nc.das .";
    String time_coverage_end "2019-12-31T00:00:00Z";
    String time_coverage_start "2019-01-01T00:00:00Z";
    String title "8x Daily NARR (qvflux.2019) [time][y][x]";
  }
}

 

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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