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Dataset Title:  NCEP Reanalysis Daily Averages Surface Flux: Skin Temperature Subscribe RSS
Institution:  NCEP   (Dataset ID: NCEP_SKIN_TEMP)
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Data Access Form
 
Graph Type:  ?
X Axis:  ?
Y Axis:  ?
Color:  ?
 
Dimensions ?    Start ?    Stop ?
time (UTC) ?     specify just 1 value →
    << -
< <
latitude (degrees_north) ?
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    -
< slider >
longitude (degrees_east) ?
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    -
< slider >
 
Graph Settings
Color Bar:   Continuity:   Scale: 
   Minimum:   Maximum:   N Sections: 
Draw land mask: 
Y Axis Minimum:   Maximum:   Ascending: 
 
(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 ? )
    Click on the map to specify a new center point. ?
Zoom:
[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 {
    Int32 _ChunkSizes 1;
    String _CoordinateAxisType "Time";
    Float64 actual_range -6.943104e+8, 1.5650496e+9;
    String avg_period "0000-00-01 00:00:00";
    String axis "T";
    String calendar "gregorian";
    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";
  }
  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";
  }
  skt {
    Int32 _ChunkSizes 1, 94, 192;
    Float64 colorBarMaximum 40.0;
    Float64 colorBarMinimum -10.0;
    String ioos_category "Temperature";
    String long_name "mean Daily SST/Land Skin Temperature";
    String standard_name "surface_temperature";
    String units "degree_Celsius";
  }
  NC_GLOBAL {
    String _CoordSysBuilder "ucar.nc2.dataset.conv.COARDSConvention";
    String acknowledgement "NCEP collaborated with the National Center for Atmospheric Research (NCAR) in the creation of this reanalysis product.";
    String cdm_data_type "Grid";
    String comment "The date of issue or publication given in this record refers to the date that the NCEP/NCAR reanalysis system was implemented operationally. Model results are updated daily.";
    String Conventions "COARDS, CF-1.6, Unidata Dataset Discovery v1.0";
    String creator_email "Wei.Shi@noaa.gov";
    String creator_name "NCEP";
    String creator_url "https://www.esrl.noaa.gov";
    String date_issued "1995-01-25";
    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 
"Tue Jan  6 15:37:17 2015: ncatted -O -a units,skt,c,c,degree_Celsius processed/skt.sfc.gauss.2005.nc
Tue Jan  6 15:37:17 2015: ncatted -O -a units,skt,c,c,degree_Celsius processed/skt.sfc.gauss.2005.nc
Tue Jan  6 15:37:17 2015: ncatted -O -a long_name,skt,c,c,mean Daily SST/Land Skin Temperature processed/skt.sfc.gauss.2005.nc
Tue Jan  6 15:37:15 2015: ncap2 -s skt-=273.15 skt.sfc.gauss.2005.nc processed/skt.sfc.gauss.2005.nc
created 2005/01/03 by Hoop (netCDF2.3)
Converted to chunked, deflated non-packed NetCDF4 2014/09
2019-08-23T05:06:50Z (local files)
2019-08-23T05:06:50Z http://erddap.axiomdatascience.com/griddap/NCEP_SKIN_TEMP.das";
    String infoUrl "https://www.esrl.noaa.gov";
    String institution "NCEP";
    String keywords "averages, daily, Earth Science > Land Surface > Land Temperature > Land Surface Temperature, Earth Science > Oceans > Ocean Temperature > Sea Surface Temperature, flux, land, mean, ncep, ocean, oceans, reanalysis, sea, skin, sst, sst/land, surface, surface_temperature, temperature";
    String keywords_vocabulary "GCMD Science Keywords";
    String license "No usage restrictions. Please read the problem list before using the data: https://www.esrl.noaa.gov/psd/data/reanalysis/problems.shtml";
    String Metadata_Conventions "COARDS, CF-1.6, Unidata Dataset Discovery v1.0";
    String metadata_link "https://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanalysis.html";
    Int32 nco_openmp_thread_number 1;
    Float64 Northernmost_Northing 88.542;
    String original_institution "National Center for Environmental Prediciton (NCEP)";
    String platform "Model";
    String publisher_email "esrl.psd.data@noaa.gov";
    String publisher_name "Earth Systems Research Laboratory, NOAA";
    String publisher_url "www.esrl.noaa.gov";
    String references "https://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanalysis.html";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing -88.542;
    String standard_name_vocabulary "CF Standard Names Vocabulary V27";
    String summary "NCEP Reanalysis Daily Averages Surface Flux: Skin Temperature. The NCEP/NCAR Reanalysis 1 project is using a state-of-the-art analysis/forecast system to perform data assimilation using past data from 1948 to the present. This model uses a subset of the NCEP Reanalysis data to display daily average surface level temperature values from January 1, 1948 to the present. Over land, NCEP surface skin temperatures represent the soil temperature at ground level. Over water, they represent the sea surface temperature. If sea ice cover is present, they represent the estimated temperature of the water surface below the ice (estimations which are often inaccurate). The spatial coverage of this dataset is 88.542N-88.542S, 0E-358.125E, covering the surface of the earth with a 192x94 T62 Gaussian grid. This model is updated daily.";
    String time_coverage_end "2019-08-06T00:00:00Z";
    String time_coverage_start "1948-01-01T00:00:00Z";
    String title "NCEP Reanalysis Daily Averages Surface Flux: Skin Temperature";
    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 (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/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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