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Dataset Title:  Wind, All Metop ASCAT, 0.25°, Global, Near Real Time, 2013-present (Monthly),
Lon+/-180
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Institution:  NOAA NMFS SWFSC ERD   (Dataset ID: erdQMwindmday_LonPM180)
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background | Files | Make a graph
 
Dimensions ? Start ? Stride ? Stop ?  Size ?    Spacing ?
 time (Centered Time, UTC) ?      112    30 days 17h 4m 52s (uneven)
  < slider >
 altitude (m) ?      1    (just one value)
  < slider >
 latitude (degrees_north) ?      601    0.25 (even)
  < slider >
 longitude (degrees_east) ?      1440    0.25 (even)
  < slider >
 
Grid Variables (which always also download all of the dimension variables) 
 x_wind (Zonal Wind, m s-1) ?
 y_wind (Meridional Wind, m s-1) ?

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 1.3792896e+9, 1.6738272e+9;
    String axis "T";
    String ioos_category "Time";
    String long_name "Centered Time";
    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";
    Float64 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";
    Float64 actual_range -75.0, 75.0;
    String axis "Y";
    String coordsys "geographic";
    String ioos_category "Location";
    String long_name "Latitude";
    String point_spacing "even";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float64 actual_range -180.0, 179.75;
    String axis "X";
    String coordsys "geographic";
    String ioos_category "Location";
    String long_name "Longitude";
    String point_spacing "even";
    String standard_name "longitude";
    String units "degrees_east";
  }
  x_wind {
    Float32 _FillValue -99999.0;
    Float64 colorBarMaximum 15.0;
    Float64 colorBarMinimum -15.0;
    String coordsys "geographic";
    String ioos_category "Wind";
    String long_name "Zonal Wind";
    Float32 missing_value -99999.0;
    String standard_name "x_wind";
    String units "m s-1";
  }
  y_wind {
    Float32 _FillValue -99999.0;
    Float64 colorBarMaximum 15.0;
    Float64 colorBarMinimum -15.0;
    String coordsys "geographic";
    String ioos_category "Wind";
    String long_name "Meridional Wind";
    Float32 missing_value -99999.0;
    String standard_name "y_wind";
    String units "m s-1";
  }
  NC_GLOBAL {
    String cdm_data_type "Grid";
    String contact "erd.data@noaa.gov";
    String Conventions "CF-1.6, COARDS, ACDD-1.3";
    String creation_date "Fri Feb  3 13:11:11 2023";
    String creator_email "erd.data@noaa.gov";
    String creator_name "NOAA NMFS SWFSC ERD";
    String creator_type "institution";
    String creator_url "https://www.pfeg.noaa.gov";
    String defaultGraphQuery "&.draw=vectors";
    Float64 Easternmost_Easting 179.75;
    Float64 geospatial_lat_max 75.0;
    Float64 geospatial_lat_min -75.0;
    Float64 geospatial_lat_resolution 0.25;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 179.75;
    Float64 geospatial_lon_min -180.0;
    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 
"1-day geographic projection composites, created by erd.data@noaa.gov from L2 swath data obtained from NOAA|NESDIS, are used to create multi-day composites via the composite script in the dalesLibAscatB.py library by erd.data@noaa.gov at NOAA NMFS SWFSC ERD.
2024-12-05T01:51:56Z (local files)
2024-12-05T01:51:56Z https://coastwatch.pfeg.noaa.gov/erddap/griddap/erdQMwindmday_LonPM180.das";
    String infoUrl "https://coastwatch.pfeg.noaa.gov/infog/QM_ux10_las.html";
    String institution "NOAA NMFS SWFSC ERD";
    String keywords "advanced, altitude, ascat, atmosphere, atmospheric, coast, coastwatch, data, degrees, Earth Science > Atmosphere > Atmospheric Winds > Surface Winds, Earth Science > Oceans > Ocean Winds > Surface Winds, eumetsat, european, exploitation, global, meteorological, metop, near, near real time, noaa, node, nrt, ocean, oceans, organisation, QMux10, quality, real, satellites, scatterometer, surface, time, wcn, west, wind, winds, x_wind, zonal";
    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 naming_authority "gov.noaa.pfeg.coastwatch";
    Float64 Northernmost_Northing 75.0;
    String publisher_email "erd.data@noaa.gov";
    String publisher_name "NOAA NMFS SWFSC ERD";
    String publisher_type "institution";
    String publisher_url "https://www.pfeg.noaa.gov";
    String references "NOAA/NESDIS https://manati.star.nesdis.noaa.gov/products/ASCAT.php .";
    String source_data "31-day composite mean of files: QM2023024_2023024_ux10.grd.gz, QM2023023_2023023_ux10.grd.gz, QM2023022_2023022_ux10.grd.gz, QM2023021_2023021_ux10.grd.gz, QM2023020_2023020_ux10.grd.gz, QM2023019_2023019_ux10.grd.gz, QM2023018_2023018_ux10.grd.gz, QM2023017_2023017_ux10.grd.gz, QM2023015_2023015_ux10.grd.gz, QM2023014_2023014_ux10.grd.gz, QM2023013_2023013_ux10.grd.gz, QM2023012_2023012_ux10.grd.gz, QM2023011_2023011_ux10.grd.gz, QM2023010_2023010_ux10.grd.gz, QM2023009_2023009_ux10.grd.gz, QM2023008_2023008_ux10.grd.gz, QM2023007_2023007_ux10.grd.gz, QM2023006_2023006_ux10.grd.gz, QM2023005_2023005_ux10.grd.gz, QM2023004_2023004_ux10.grd.gz, QM2023003_2023003_ux10.grd.gz, QM2023002_2023002_ux10.grd.gz, QM2023001_2023001_ux10.grd.gz";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing -75.0;
    String spatial_resolution "0.25 degree";
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary "NOAA CoastWatch distributes near real time wind data originating with wind velocity measurements from the ASCAT instruments onboard all EUMETSAT's MetOp satellites.  ASCAT is a microwave scatterometer designed to measure surface winds over the global ocean.  Wind velocity is processed to wind divergence by NOAA CoastWatch. (This is a monthly composite.)";
    String testOutOfDate "now-60days";
    String time_coverage_end "2023-01-16T00:00:00Z";
    String time_coverage_start "2013-09-16T00:00:00Z";
    String title "Wind, All Metop ASCAT, 0.25°, Global, Near Real Time, 2013-present (Monthly), Lon+/-180";
    Float64 Westernmost_Easting -180.0;
  }
}

 

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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