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Dataset Title:  Great Lakes Coastal Forecasting System (GLCFS), FORECAST Subscribe RSS
Institution:  NOAA/GLERL   (Dataset ID: GLOS_HURON_2D_NOWCAST)
Information:  Summary ? | License ? | Metadata | Background (external link) | Make a graph
 
Dimensions ? Start ? Stride ? Stop ?  Size ?    Spacing ?
 time (UTC, UTC) ?      21274    1h 3m 52s (uneven)
  < slider >
 ny (count) ?      188    1.0 (even)
  < slider >
 nx (count) ?      201    1.0 (even)
  < slider >
 
Grid Variables (which always also download all of the dimension variables)
 eta (Height Above Model Sea Level, m) ?
 uc (Zonal Current, m.s-1) ?
 vc (Meridional Current, m.s-1) ?
 wvh (Significant Wave Height, m) ?
 wvd (Wave Direction, degrees) ?
 wvp (Wave Period, s) ?
 ci (Ice concentration, percent) ?
 hi (Ice thickness, m) ?
 ui (Zonal Current, m.s-1) ?
 vi (Meridional Current, m.s-1) ?

File type: (more info)

(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 1.388538e+9, 1.4700528e+9;
    String axis "T";
    String base_date "1970,1,1,0";
    String ioos_category "Time";
    String long_name "UTC";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  ny {
    Int16 actual_range 0, 187;
    String ioos_category "Statistics";
    String long_name "NY";
    String units "count";
  }
  nx {
    Int16 actual_range 0, 200;
    String ioos_category "Statistics";
    String long_name "NX";
    String units "count";
  }
  eta {
    Float64 colorBarMaximum 2.0;
    Float64 colorBarMinimum -2.0;
    String ioos_category "Sea Level";
    String long_name "Height Above Model Sea Level";
    Float32 missing_value -99999.0;
    String positive "up";
    String reference "model_sea_level";
    String standard_name "sea_surface_elevation";
    String units "m";
  }
  uc {
    Float64 colorBarMaximum 0.5;
    Float64 colorBarMinimum -0.5;
    String discriminant "normal";
    String ioos_category "Currents";
    String long_name "Zonal Current";
    Float32 missing_value -99999.0;
    String standard_name "eastward_sea_water_velocity";
    String units "m.s-1";
  }
  vc {
    Float64 colorBarMaximum 0.5;
    Float64 colorBarMinimum -0.5;
    String discriminant "normal";
    String ioos_category "Currents";
    String long_name "Meridional Current";
    Float32 missing_value -99999.0;
    String standard_name "northward_sea_water_velocity";
    String units "m.s-1";
  }
  wvh {
    Float64 colorBarMaximum 10.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Surface Waves";
    String long_name "Significant Wave Height";
    Float32 missing_value -99999.0;
    String standard_name "sea_surface_wave_significant_height";
    String units "m";
  }
  wvd {
    Float64 colorBarMaximum 360.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Surface Waves";
    String long_name "Wave Direction";
    Float32 missing_value -99999.0;
    String standard_name "sea_surface_wave_to_direction";
    String units "degrees";
  }
  wvp {
    Float64 colorBarMaximum 20.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Surface Waves";
    String long_name "Wave Period";
    Float32 missing_value -99999.0;
    String standard_name "sea_surface_wave_mean_period";
    String units "s";
  }
  ci {
    Float64 colorBarMaximum 100.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Ice Distribution";
    String long_name "Ice concentration";
    Float32 missing_value -99999.0;
    String standard_name "sea_ice";
    String units "percent";
  }
  hi {
    String ioos_category "Ice Distribution";
    String long_name "Ice thickness";
    Float32 missing_value -99999.0;
    String standard_name "ice_cover_thickness";
    String units "m";
  }
  ui {
    Float64 colorBarMaximum 0.1;
    Float64 colorBarMinimum -0.1;
    String ioos_category "Currents";
    String long_name "Zonal Current";
    Float32 missing_value -99999.0;
    String standard_name "eastward_sea_ice_velocity";
    String units "m.s-1";
  }
  vi {
    Float64 colorBarMaximum 0.1;
    Float64 colorBarMinimum -0.1;
    String ioos_category "Currents";
    String long_name "Meridional Current";
    Float32 missing_value -99999.0;
    String standard_name "northward_sea_ice_velocity";
    String units "m.s-1";
  }
  NC_GLOBAL {
    String _CoordSysBuilder "ucar.nc2.dataset.conv.DefaultConvention";
    String author "gregory.lang@noaa.gov";
    String cdm_data_type "Grid";
    String comment1 "Lake Huron  2 km bathymetric grid";
    String comment2 "1-hourly model 2D output starting at validtime plus 1 hr";
    String comment3 "Generated 2x per day following the 0,12 Z Forecast runs";
    String Conventions "COARDS, CF-1.6, Unidata Dataset Discovery v1.0";
    String creation_date "Sun Aug 17 13:36:32 2014 GMT";
    String creator_email "gregory.lang@noaa.gov";
    String creator_name "NOAA/GLERL";
    String disclaimer "https://www.glerl.noaa.gov/home/notice.html";
    String history 
"Wed Oct  8 23:34:13 2014: ncea -d time,9,9 /mnt/gluster/data/netCDF/glos/2dnowcast/huron//h201422912.out1.nc /mnt/gluster/data/netCDF/glos/2dnowcast/huron/processed//h_2014-08-17-22_2014.229.12.nc
2018-07-22T02:47:24Z (local files)
2018-07-22T02:47:24Z http://erddap.axiomdatascience.com/erddap/griddap/GLOS_HURON_2D_NOWCAST.das";
    String infoUrl "???";
    String institution "NOAA/GLERL";
    String keywords "above, circulation, coastal, concentration, cover, cryosphere, current, currents, direction, distribution, Earth Science > Cryosphere > Sea Ice > Sea Ice Motion, Earth Science > Oceans > Ocean Circulation > Ocean Currents, Earth Science > Oceans > Ocean Waves > Significant Wave Height, Earth Science > Oceans > Ocean Waves > Wave Speed/Direction, Earth Science > Oceans > Sea Ice > Sea Ice Motion, Earth Science > Oceans > Sea Surface Topography > Sea Surface Height, eastward, eastward_sea_ice_velocity, eastward_sea_water_velocity, elevation, forecast, forecasting, glcfs, glerl, great, great lakes, height, ice, ice distribution, ice_cover_thickness, lakes, level, mean, meridional, model, motion, noaa, northward, northward_sea_ice_velocity, northward_sea_water_velocity, ocean, oceans, period, sea, sea level, sea_ice, sea_surface_elevation, sea_surface_wave_mean_period, sea_surface_wave_significant_height, sea_surface_wave_to_direction, seawater, significant, speed, surface, surface waves, system, thickness, topography, velocity, water, wave, waves, zonal";
    String keywords_vocabulary "GCMD Science Keywords";
    String license "https://www.glerl.noaa.gov/home/notice.html";
    String Metadata_Conventions "COARDS, CF-1.6, Unidata Dataset Discovery v1.0";
    String model "GLERL Wave Model-Great Lakes, Princeton Ocean Model-Great Lakes";
    Int32 nco_openmp_thread_number 1;
    String references "https://www.glerl.noaa.gov/glcfs/";
    String sourceUrl "(local files)";
    String standard_name_vocabulary "CF-12";
    String summary "Great Lakes Coastal Forecasting System (GLCFS), FORECAST";
    String time_coverage_end "2016-08-01T12:00:00Z";
    String time_coverage_start "2014-01-01T01:00:00Z";
    String title "Great Lakes Coastal Forecasting System (GLCFS), FORECAST";
    String validtime "17-AUG-2014 12:00 GMT";
    String validtime_DOY "229, 2014 12:00 GMT";
  }
}

 

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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