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Dataset Title:  NOAA/NCDC Blended Global 0.25° Sea Winds, Climatological Monthly Means, 1995-
2005
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Institution:  NOAA NCEI   (Dataset ID: ncdcOwClm9505)
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Data Access Form
 
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X Axis:  ?
Y Axis:  ?
Vector X:  ?
Vector Y:  ?
 
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time (UTC) ?     specify just 1 value →
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altitude (m) ?     specify just 1 value →
   
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latitude (degrees_north) ?
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longitude (degrees_east) ?
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Vector Standard: 
Y Axis Minimum:   Maximum:   Ascending: 
 
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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:

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range -6.21663552e+10, -6.21374112e+10;
    String axis "T";
    String calendar "proleptic_gregorian";
    String ioos_category "Time";
    String long_name "Time";
    Float64 missing_value NaN;
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  altitude {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "up";
    Float32 actual_range 10.0, 10.0;
    String axis "Z";
    String ioos_category "Location";
    String long_name "Altitude";
    String positive "up";
    String standard_name "altitude";
    String units "m";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range -89.75, 89.75;
    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, 359.75;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  u {
    Float32 _FillValue -9999.0;
    Float64 colorBarMaximum 15.0;
    Float64 colorBarMinimum -15.0;
    String coordinates "time_run time zlev lat lon";
    String ioos_category "Wind";
    String long_name "Sea Surface Wind: x-component";
    String standard_name "x_wind";
    String units "m s-1";
  }
  v {
    Float32 _FillValue -9999.0;
    Float64 colorBarMaximum 15.0;
    Float64 colorBarMinimum -15.0;
    String coordinates "time_run time zlev lat lon";
    String ioos_category "Wind";
    String long_name "Sea Surface Wind: y-component";
    String standard_name "y_wind";
    String units "m s-1";
  }
  w {
    Float32 _FillValue -9999.0;
    Float64 colorBarMaximum 15.0;
    Float64 colorBarMinimum 0.0;
    String coordinates "time_run time zlev lat lon";
    String ioos_category "Wind";
    String long_name "Sea Surface Wind: speed as scalar means";
    String standard_name "wind_speed";
    String units "m s-1";
  }
  NC_GLOBAL {
    String _CoordSysBuilder "ucar.nc2.dataset.conv.CF1Convention";
    String acknowledgement "The gridded data were generated from the multiple satellite observations of DOD, NOAA and NASA (and future others) and wind retrievals of the Remote Sensing Systems, Inc. (http://www.remss.com), using scientific methods such as objective analysis (OA). The OA is only truly objective when the needed statistics are completely known, which may not be always the case.";
    String cdm_data_type "Grid";
    String Comment "The time in the netCDF should be the center of a calendar month, and chosen as Day 15 for all months for simplicity. The climatolog period is 1995 - 2005";
    String Contact "Huai-Min.Zhang AT noaa.gov or ncdc.satorder AT noaa.gov;    ph:1+828-271-4090 or 271-4800";
    String contributor_name "NOAA NCDC";
    String contributor_role "Source of data.";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    String creator_email "Huai-Min.Zhang@noaa.gov";
    String creator_name "Huai-Min Zhang";
    String creator_type "person";
    String defaultGraphQuery "&.draw=vectors";
    Float64 Easternmost_Easting 359.75;
    Float64 geospatial_lat_max 89.75;
    Float64 geospatial_lat_min -89.75;
    Float64 geospatial_lat_resolution 0.25;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 359.75;
    Float64 geospatial_lon_min 0.0;
    Float64 geospatial_lon_resolution 0.25;
    String geospatial_lon_units "degrees_east";
    Float64 geospatial_vertical_max 10.0;
    Float64 geospatial_vertical_min 10.0;
    String geospatial_vertical_positive "up";
    String geospatial_vertical_units "m";
    String history 
"Simple spatiotemporally weighted Interpolation (SI), V.1.2. Version 1.2 uses updated satellite retrievals by Remote Sensing System, released in September 2006: SSMI V06, TMI V04, QSCAT V03a. AMSRE V05 was also updated using the new SSMI rain rate
2018-09-24T10:11:33Z https://www.ncei.noaa.gov/thredds/dodsC/uv/clm_agg/Latest_Climatology_of_Ocean_Winds_best.ncd
2018-09-24T10:11:33Z http://coastwatch.pfeg.noaa.gov/griddap/ncdcOwClm9505.das";
    String infoUrl "https://www.ncdc.noaa.gov/data-access/marineocean-data/blended-global/blended-sea-winds";
    String institution "NOAA NCEI";
    String keywords "0.25-degree, air-sea flux, air-sea interaction, atmosphere, atmospheric, blended, climatological, component, degree, earth science, Earth Science > Atmosphere > Atmospheric Winds > Surface Winds, ekman pumping, ekman transport, means, monthly, ncdc, noaa, ocean upwelling, ocean winds, oceans, scalar, sea, sea surface winds, sea winds, speed, surface, wind, wind stress, wind-driven circulation, wind_speed, winds, windstress, x-component, x_wind, y-component, y_wind";
    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 location "Proto fmrc:Latest_Climatology_of_Ocean_Winds";
    Float64 Northernmost_Northing 89.75;
    String references "https://www.ncdc.noaa.gov/data-access/marineocean-data/blended-global/blended-sea-winds";
    String source "Multiple satellite observations: DMSP SSMI F08, F10, F11, F13,F14 F15; TMI; QuikSCAT; AMSR-E; Direction from NCEP Reanalysis-2";
    String sourceUrl "https://www.ncei.noaa.gov/thredds/dodsC/uv/clm_agg/Latest_Climatology_of_Ocean_Winds_best.ncd";
    Float64 Southernmost_Northing -89.75;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String summary "Gridded and blended sea surface vector winds from multiple satellites with direction from NCEP Reanalysis-2; Global ocean coverage with a 0.25-degree resolution; The whole datasets covers from July 1987 to present. Climatological (1995-2005) monthlies in this dataset; 6-hourly, daily & monthly resolutions are also available in other directories; See https://www.ncdc.noaa.gov/oa/rsad/blendedseawinds.html and links within for details. Include (u,v) means and scalar mean speed w for comparison";
    String time_coverage_end "0000-12-13T00:00:00Z";
    String time_coverage_start "0000-01-13T00:00:00Z";
    String title "NOAA/NCDC Blended Global 0.25° Sea Winds, Climatological Monthly Means, 1995-2005";
    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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