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Dataset Title:  8x Daily NARR (monolevel, lftx4 lat lon) [time][y][x] Subscribe RSS
Institution:  National Centers for Environmental Prediction   (Dataset ID: noaa_pmel_961c_4f8a_2af2)
Information:  Summary | License | Metadata | Background | Data Access Form
 
Graph Type: 
X Axis: 
Y Axis: 
Color: 
 
Dimensions    Start    Stop
time (UTC)
   
   
y (m)     specify just 1 value →
   
x (m)     specify just 1 value →
   
 
Graph Settings
Marker Type:     Size:
Color: 
Color Bar:    Continuity:    Scale:
      Min:    Max:    N Sections:
Y Axis Minimum:    Maximum:
 
(Please be patient. It may take a while to get the data.)
 
Optional:
Then set the File Type: and
or view the URL:
(Documentation / Bypass this form ) (File Type information)
    Time 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 {
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 2.839968e+8, 1.34109e+9;
    String axis "T";
    String coordinate_defines "point";
    String delta_t "0000-00-00 03:00:00";
    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, 1.129712E7;
    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";
  }
  lftx4 {
    String _CoordinateAxes "lat lon time y x";
    Float32 _FillValue -25.01;
    Float32 actual_range 302.5077, 303.0396;
    Float64 colorBarMaximum 313.0;
    Float64 colorBarMinimum 263.0;
    String coordinates "lat lon";
    String dataset "NARR 3-hourly";
    Int16 GRIB_id 132;
    String GRIB_name "4LFTX";
    String grid_mapping "Lambert_Conformal";
    String ioos_category "Temperature";
    Int16 least_significant_digit 1;
    String level_desc "180-0 mb above gnd";
    String long_name "3-hourly Best (4-layer) Lifted Index";
    Float32 missing_value 630.32;
    String parent_stat "Other";
    Int16 precision 2;
    String statistic "Individual Obs";
    String units "degK";
    Float32 unpacked_valid_range -25.0, 50.0;
    Int16 valid_range -32766, -25266;
    String var_desc "Best (4-layer) Lifted Index";
  }
  NC_GLOBAL {
    String cdm_data_type "Grid";
    Float64 centerlat 50.0;
    Float64 centerlon -107.0;
    String comments 
"Data is from North American Regional Reanalysis
(8x/day).  It consists of most variables interpolated to
pressure surfaces from model (sigma) surfaces.";
    String Conventions "CF-1.6, COARDS, Unidata Dataset Discovery v1.0";
    String creator_name "National Centers for Environmental Prediction";
    String creator_url "http://ferret.pmel.noaa.gov/geoide/dodsC/Datasets/NARR/monolevel/lftx4_lat_lon_aggregation.html";
    String history 
"created 2012/06 by data management at NOAA/ESRL/PSD
2013-03-18T16:37:46Z http://ferret.pmel.noaa.gov/geoide/dodsC/Datasets/NARR/monolevel/lftx4_lat_lon_aggregation
2013-03-18T16:37:46Z http://upwell.pfeg.noaa.gov/griddap/noaa_pmel_961c_4f8a_2af2.das";
    String infoUrl "http://ferret.pmel.noaa.gov/geoide/dodsC/Datasets/NARR/monolevel/lftx4_lat_lon_aggregation.html";
    String institution "National Centers for Environmental Prediction";
    String keywords 
"3-hourly, 4-layer, best, centers, daily, environmental, hourly, index, layer,
lftx4, lifted, monolevel, narr, national, prediction, temperature";
    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 Metadata_Conventions "CF-1.6, COARDS, Unidata Dataset Discovery v1.0";
    String platform "Model";
    String references 
"http://wwwt.emc.ncep.noaa.gov/mmb/rreanl/index.html
http://www.esrl.noaa.gov/psd/data/gridded/data.narr.html";
    String sourceUrl "http://ferret.pmel.noaa.gov/geoide/dodsC/Datasets/NARR/monolevel/lftx4_lat_lon_aggregation";
    String standard_name_vocabulary "CF-12";
    Float64 standardpar1 50.0;
    Float64 standardpar2 50.000001;
    String stream "s1";
    String summary 
"8x Daily NARR
(monolevel, lftx4 lat lon)";
    String time_coverage_end "2012-06-30T21:00:00Z";
    String time_coverage_start "1979-01-01T00:00:00Z";
    String title "8x Daily NARR (monolevel, lftx4 lat lon) [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 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.

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.
 


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