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Dataset Title:  Ocean Surface Winds - CCMP - Monthly, 1987-2019. v2.0 Subscribe RSS
Institution:  RSS   (Dataset ID: ccmp-monthly-v2-0)
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Make a graph
 
Dimensions ? Start ? Stride ? Stop ?  Size ?    Spacing ?
 time (Time of analysis, UTC) ?      382    30 days 10h 25m 31s (uneven)
  < slider >
 latitude (degrees_north) ?      628    0.25 (even)
  < slider >
 longitude (degrees_east) ?      1440    0.25 (even)
  < slider >
 
Grid Variables (which always also download all of the dimension variables) 
 uwnd (u-wind vector component at 10 meters, m s-1) ?
 vwnd (v-wind vector component at 10 meters, m s-1) ?
 wspd (wind speed at 10 meters, 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 _Fillvalue -9999.0;
    Float64 actual_range 5.534676e+8, 1.5553188e+9;
    String avg_period "monthly";
    String axis "T";
    String delta_t "0000-01-00 00:00:00";
    String ioos_category "Time";
    String long_name "Time of analysis";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
    Float64 valid_max 8385.0;
    Float64 valid_min 8385.0;
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range -78.375, 78.375;
    String axis "Y";
    String coordinate_defines "center";
    Float32 fill_value -9999.0;
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
    Float32 valid_max 90.0;
    Float32 valid_min -90.0;
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 actual_range 0.125, 359.875;
    String axis "X";
    String coordinate_defines "center";
    Float32 fill_value -9999.0;
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
    Float32 valid_max 360.0;
    Float32 valid_min 0.0;
  }
  uwnd {
    Float32 _FillValue NaN;
    Float64 colorBarMaximum 15.0;
    Float64 colorBarMinimum -15.0;
    String height "10 meters above sea-surface";
    String ioos_category "Wind";
    String long_name "u-wind vector component at 10 meters";
    String standard_name "eastward_wind";
    String units "m s-1";
    Float32 valid_max 100.0;
    Float32 valid_min -100.0;
  }
  vwnd {
    Float32 _FillValue NaN;
    Float64 colorBarMaximum 15.0;
    Float64 colorBarMinimum -15.0;
    String height "10 meters above sea-surface";
    String ioos_category "Wind";
    String long_name "v-wind vector component at 10 meters";
    String standard_name "northward_wind";
    String units "m s-1";
    Float32 valid_max 100.0;
    Float32 valid_min -100.0;
  }
  wspd {
    Float32 _FillValue NaN;
    Float64 colorBarMaximum 15.0;
    Float64 colorBarMinimum 0.0;
    String height "10 meters above sea-surface";
    String ioos_category "Wind";
    String long_name "wind speed at 10 meters";
    String standard_name "wind_speed";
    String units "m s-1";
    Float32 valid_max 100.0;
    Float32 valid_min -100.0;
  }
  NC_GLOBAL {
    String base_date "Y1987 M12 D32";
    String cdm_data_type "Grid";
    String contact "Remote Sensing Systems, support@remss.com";
    String contributor_name "Carl Mears, Joel Scott, Frank Wentz, Ross Hoffman, Mark Leidner, Robert Atlas, Joe Ardizzone";
    String contributor_role "Co-Investigator, Software Engineer, Project Lead, Co-Investigator, Software Engineer, Principal Investigator, Software Engineer";
    String Conventions "CF-1.6, COARDS, ACDD-1.3";
    String creator_email "support@remss.com";
    String creator_name "Remote Sensing Systems";
    String creator_type "institution";
    String creator_url "http://www.remss.com/";
    String data_structure "grid";
    String date_created "2019-08-02T15:43:39Z";
    String description "RSS VAM 6-hour analyses starting from the ERA-Interim reanalysis";
    Float64 Easternmost_Easting 359.875;
    Float64 geospatial_lat_max 78.375;
    Float64 geospatial_lat_min -78.375;
    Float64 geospatial_lat_resolution 0.25;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 359.875;
    Float64 geospatial_lon_min 0.125;
    Float64 geospatial_lon_resolution 0.25;
    String geospatial_lon_units "degrees_east";
    String history 
"20190802T154339ZZ - netCDF generated from original data using IDL 8.5 by RSS using files: vam_v2.0.analysis.t20190429.z00.dat
2024-03-28T09:04:06Z (local files)
2024-03-28T09:04:06Z https://oceanwatch.pifsc.noaa.gov/erddap/griddap/ccmp-monthly-v2-0.das";
    String infoUrl "http://www.remss.com/";
    String institute_id "RSS";
    String institution "RSS";
    String keywords "10km - < 50km or approximately 0.09 degree - < 0.5 degree, advanced, ascat, atmosphere, atmospheric, average, buoy, ccmp, center, centre, component, data, derived, earth, Earth Science > Atmosphere > Atmospheric Winds > Surface Winds, eastward, eastward_wind, ecmwf, environmental, european, forecasts, laboratory, latitude, level, longitude, marine, measures, medium, medium-range, meters, month, monthly, national, ndbc, noaa, northward, northward_wind, ocean winds, pacific, pmel, range, remote, remss, rss, scatterometer, science, sensing, speed, surface, surface winds, systems, time, u-wind, uwnd, v-wind, v2.0, vector, vwnd, weather, wind, wind speed/wind direction, wind_speed, winds, wspd";
    String keywords_vocabulary "GCMD Science Keywords";
    String license "available for public use with proper citation";
    Float64 Northernmost_Northing 78.375;
    String processing_level "L3.5";
    String product_version "v2.0";
    String project "RSS Cross-Calibrated Multi-Platform Ocean Surface Wind Project";
    String publisher_email "support@remss.com";
    String publisher_name "Remote Sensing Systems";
    String publisher_type "institution";
    String publisher_url "http://www.remss.com/";
    String references "Hoffman et al., Journal of Atmospheric and Oceanic Technology, 2013; Atlas et al., BAMS, 2011; Atlas et al., BAMS, 1996";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing -78.375;
    String standard_name_vocabulary "CF Standard Name Table v29";
    String summary 
"This is data from the Cross-Calibrated Multi-Platform (CCMP) Wind Vector
Analysis, generated by Remote Sensing Systems. CCMP V2.0 has been created using the same VAM as CCMP V1.1 only it is now running at Remote Sensing Systems. Input data have changed and now include all V7 radiometer data from RSS, V8.1 GMI data from RSS, scatterometer data from RSS (V4 QuikSCAT and V1.2 Advanced SCATterometer (ASCAT)), quality checked moored buoy data from National Data Buoy Center (NDBC), Pacific Marine Environmental Laboratory (PMEL), and ISDM, and ERA-Interim data from European Centre for Medium-Range Weather Forecasts (ECMWF).";
    String time_coverage_end "2019-04-15T09:00:00Z";
    String time_coverage_start "1987-07-16T21:00:00Z";
    String title "Ocean Surface Winds - CCMP - Monthly, 1987-2019. v2.0";
    Float64 Westernmost_Easting 0.125;
  }
}

 

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[(2015-06-09T09:00:00Z)][(-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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