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Dataset Title:  Lake Huron, 2D, Lake Huron, 2D, Best Time Series (GLCFS, Lake Huron, Forecast,
2D) [time][ny][nx], 2018-present
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Institution:  NOAA/GLERL   (Dataset ID: glos_tds_3199_a541_3fac)
Information:  Summary ? | License ? | Metadata | Background (external link) | Data Access Form
 
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Y Axis:  ?
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time (UTC) ?
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ny (count) ?     specify just 1 value →
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nx (count) ?     specify just 1 value →
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Color Bar:   Continuity:   Scale: 
   Minimum:   Maximum:   N Sections: 
Y Axis Minimum:   Maximum:   Ascending: 
 
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[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 {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.5147684e+9, 1.5323904e+9;
    String axis "T";
    String calendar "proleptic_gregorian";
    String ioos_category "Time";
    String long_name "Forecast time for ForecastModelRunCollection";
    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";
  }
  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 references "model_sea_level";
    String standard_name "sea_surface_elevation";
    String units "meters";
  }
  uc {
    Float64 colorBarMaximum 0.5;
    Float64 colorBarMinimum -0.5;
    String ioos_category "Currents";
    String long_name "Eastward Water Velocity at Surface";
    Float32 missing_value -99999.0;
    String standard_name "eastward_sea_water_velocity";
    String units "m/s";
  }
  vc {
    Float64 colorBarMaximum 0.5;
    Float64 colorBarMinimum -0.5;
    String ioos_category "Currents";
    String long_name "Northward Water Velocity at Surface";
    Float32 missing_value -99999.0;
    String standard_name "northward_sea_water_velocity";
    String units "m/s";
  }
  utm {
    Float64 colorBarMaximum 0.5;
    Float64 colorBarMinimum -0.5;
    String ioos_category "Currents";
    String long_name "Depth-Averaged Eastward Water Velocity";
    Float32 missing_value -99999.0;
    String standard_name "eastward_sea_water_velocity";
    String units "m/s";
  }
  vtm {
    Float64 colorBarMaximum 0.5;
    Float64 colorBarMinimum -0.5;
    String ioos_category "Currents";
    String long_name "Depth-Averaged Northward Water Velocity";
    Float32 missing_value -99999.0;
    String standard_name "northward_sea_water_velocity";
    String units "m/s";
  }
  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 "meters";
  }
  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, Oceanographic Convention, 0=toward N, 90=toward E";
  }
  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_swell_wave_period";
    String units "seconds";
  }
  ci {
    Float64 colorBarMaximum 1.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Ice Distribution";
    String long_name "Ice concentration";
    Float32 missing_value -99999.0;
    String standard_name "ice_concentration";
    String units "fraction";
  }
  hi {
    Float64 colorBarMaximum 2.5;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Ice Distribution";
    String long_name "Ice thickness";
    Float32 missing_value -99999.0;
    String standard_name "sea_ice_thickness";
    String units "meters";
  }
  ui {
    Float64 colorBarMaximum 0.1;
    Float64 colorBarMinimum -0.1;
    String ioos_category "Currents";
    String long_name "Ice u-velocity";
    Float32 missing_value -99999.0;
    String standard_name "sea_ice_x_velocity";
    String units "m/s";
  }
  vi {
    Float64 colorBarMaximum 0.1;
    Float64 colorBarMinimum -0.1;
    String ioos_category "Currents";
    String long_name "Ice v-velocity";
    Float32 missing_value -99999.0;
    String standard_name "sea_ice_y_velocity";
    String units "m/s";
  }
  NC_GLOBAL {
    String _CoordSysBuilder "ucar.nc2.dataset.conv.CF1Convention";
    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 contributor_name "GLOS DMAC, GLERL";
    String contributor_role "distributor, producer";
    String Conventions "CF-1.6, COARDS, ACDD-1.3";
    String creation_date "Mon Jun 11 01:11:15 2018 GMT";
    String creator_email "david.schwab@noaa.gov";
    String creator_name "Dr. Dave Schwab";
    String creator_type "person";
    String creator_url "https://www.glerl.noaa.gov/";
    String data_source "NDFD";
    String disclaimer "https://www.glerl.noaa.gov/home/notice.html";
    String history 
"FMRC Best Dataset
2018-07-19T11:58:58Z http://tds.glos.us/thredds/dodsC/glos/glcfs/huron/fcfmrc-2d/Lake_Huron_-_2D_best.ncd
2018-07-19T11:58:58Z http://upwell.pfeg.noaa.gov/griddap/glos_tds_3199_a541_3fac.das";
    String id "glos/glcfs/huron/fcfmrc-2d/Lake_Huron_-_2D_best.ncdhttp://tds.glos.us/thredds/dodsC/glos/glcfs/huron/fcfmrc-2d/Lake_Huron_-_2D_best.ncd";
    String infoUrl "https://www.glerl.noaa.gov/res/glcfs/";
    String institution "NOAA/GLERL";
    String keywords "above, averaged, best, best time series, circulation, coastal, concentration, cryosphere, currents, data, depth, depth-averaged, direction, distribution, earth, Earth Science > Cryosphere > Sea Ice > Ice Depth/Thickness, 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 > Swells, Earth Science > Oceans > Ocean Waves > Wave Period, Earth Science > Oceans > Ocean Waves > Wave Speed/Direction, Earth Science > Oceans > Sea Ice > Ice Depth/Thickness, Earth Science > Oceans > Sea Ice > Sea Ice Motion, Earth Science > Oceans > Sea Surface Topography > Sea Surface Height, eastward, eastward_sea_water_velocity, elevation, environmental, eta, forecast, forecasting, glcfs, glerl, glos, great, great lakes, height, huron, ice, ice distribution, ice_concentration, index, laboratory, lake, lakes, level, model, motion, noaa, northward, northward_sea_water_velocity, observing, ocean, oceans, period, research, science, sea, sea level, sea_ice_thickness, sea_ice_x_velocity, sea_ice_y_velocity, sea_surface_elevation, sea_surface_swell_wave_period, sea_surface_wave_significant_height, sea_surface_wave_to_direction, seawater, series, significant, speed, surface, surface waves, swell, swells, system, thickness, time, time series, topography, u-velocity, utm, v-velocity, vegetation, velocity, vtm, water, wave, waves, wvd, wvh, wvp";
    String keywords_vocabulary "GCMD Science Keywords";
    String license "No usage restrictions";
    String location "Proto fmrc:Lake_Huron_-_2D";
    String metadata_link "http://data.glos.us/portal/";
    String model "GLERL Wave Model-Great Lakes, Princeton Ocean Model-Great Lakes";
    String naming_authority "GLOS";
    String publisher_email "dmac@glos.us";
    String publisher_name "GLOS DMAC";
    String publisher_type "institution";
    String publisher_url "https://www.glos.us";
    String references "https://www.glerl.noaa.gov/res/glcfs/";
    String sourceUrl "http://tds.glos.us/thredds/dodsC/glos/glcfs/huron/fcfmrc-2d/Lake_Huron_-_2D_best.ncd";
    String standard_name_vocabulary "CF Standard Name Table v55";
    String summary "GLCFS - Lake Huron - Forecast - 2D. Best time series, taking the data from the most recent run available. Great Lakes Coastal Forecasting System. Lake Huron  2 km bathymetric grid. 1-hourly model 2D output starting at validtime plus 1 hr. Generated 2x per day following the 0,12 Z Forecast runs";
    String testOutOfDate "now+4days";
    String time_coverage_end "2018-07-24T00:00:00Z";
    String time_coverage_start "2018-01-01T01:00:00Z";
    String title "Lake Huron, 2D, Lake Huron, 2D, Best Time Series (GLCFS, Lake Huron, Forecast, 2D) [time][ny][nx], 2018-present";
    String validtime "01-JAN-2014 00:00 GMT";
    String validtime_DOY "001, 2014 00:00 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://upwell.pfeg.noaa.gov/erddap/griddap/datasetID.fileType{?query}
For example,
https://upwell.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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