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Dataset Title:  GLCFS, Lake Michigan, Forecast, 2D (Lake Michigan, 2D, Best Time Series) [
nsigma]
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Institution:  NOAA/GLERL   (Dataset ID: glos_tds_cc2f_0d02_bb5c)
Information:  Summary ? | License ? | Metadata | Background (external link) | Make a graph
 
Dimensions ? Start ? Stride ? Stop ?  Size ?    Spacing ?
 nsigma (count) ?      19    1.0 (even)
  < slider >
 
Grid Variables (which always also download all of the dimension variables)
 sigma (Sigma Stretched Vertical Coordinate at Nodes, 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 {
  nsigma {
    Int32 actual_range 0, 18;
    String ioos_category "Unknown";
    String long_name "Nsigma";
    String units "count";
  }
  sigma {
    String _CoordinateAxisType "GeoZ";
    String _CoordinateTransformType "Vertical";
    String _CoordinateZisPositive "down";
    String axis "Z";
    String formula_terms "sigma: sigma eta: eta depth: depth";
    String ioos_category "Location";
    String long_name "Sigma Stretched Vertical Coordinate at Nodes";
    String positive "down";
    String standard_name "ocean_sigma_coordinate";
    String units "1";
  }
  NC_GLOBAL {
    String _CoordSysBuilder "ucar.nc2.dataset.conv.CF1Convention";
    String author "gregory.lang@noaa.gov";
    String cdm_data_type "Grid";
    String comment1 "Lake Michigan  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 "Sun Jan 28 13:36:09 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
2018-02-18T08:19:08Z http://tds.glos.us/thredds/dodsC/glos/glcfs/michigan/fcfmrc-2d/Lake_Michigan_-_2D_best.ncd
2018-02-18T08:19:08Z http://upwell.pfeg.noaa.gov/erddap/griddap/glos_tds_cc2f_0d02_bb5c.das";
    String id "glos.glcfs.michigan.fcfmrc-2d.Lake_Michigan_-_2D_best.ncd";
    String infoUrl "https://www.glerl.noaa.gov/res/glcfs/";
    String institution "NOAA/GLERL";
    String keywords "best, best time series, coastal, coordinate, data, density, earth, Earth Science > Oceans > Salinity/Density > Density, environmental, forecast, forecasting, glcfs, glerl, glos, great, great lakes, laboratory, lake, lakes, michigan, noaa, nodes, nsigma, observing, ocean, ocean_sigma_coordinate, oceans, research, salinity, science, series, sigma, stretched, system, time, time series, vertical";
    String keywords_vocabulary "GCMD Science Keywords";
    String license "No usage restrictions";
    String location "Proto fmrc:Lake_Michigan_-_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/michigan/fcfmrc-2d/Lake_Michigan_-_2D_best.ncd";
    String standard_name_vocabulary "CF Standard Name Table v29";
    String summary "GLCFS - Lake Michigan - Forecast - 2D. Best time series, taking the data from the most recent run available. Great Lakes Coastal Forecasting System. Lake Michigan  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 title "GLCFS, Lake Michigan, Forecast, 2D (Lake Michigan, 2D, Best Time Series) [nsigma]";
    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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