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Dataset Title:	GLCFS, Lake Huron, Forecast, 2D (Lake Huron, 2D, Best Time Series) [nsigma]
Institution:	NOAA/GLERL (Dataset ID: glos_tds_bcae_d3b5_521c)
Information:	Summary \| License \| Metadata \| Background \| Data Access Form

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Graph Type:
X Axis:
Y Axis:
Color:

Dimensions

Start

Stop

nsigma (count)

Graph Settings

Marker Type:

Size:

Color:

Color Bar: Continuity: Scale:

Min: Max: N Sections:

Y Axis Minimum: Maximum:

(Please be patient. It may take a while to get the data.)

Optional:
Then set the File Type: and

or view the URL:
(Documentation / Bypass this form

) (File Type information)

[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:

Web page authors can embed a graph of the latest data in a web page using HTML <img> tags.
Anyone can use ERDDAPs Slide Sorter to build a personal web page that displays graphs with the latest data (or other images or HTML content), each in its own, draggable slide.

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 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 "CF-1.6, COARDS, ACDD-1.3";
    String creation_date "Tue Sep 26 01:10:46 2017 GMT";
    String creator_email "david.schwab@noaa.gov";
    String creator_name "Dr. Dave Schwab";
    String creator_url "https://www.glerl.noaa.gov/";
    String data_source "NDFD";
    String date "2012-01-01";
    String disclaimer 
"NOAA GLERL is providing this data \"as is,\" and NOAA GLERL and its partners
cannot be held responsible, nor assume any liability for any damages caused
by inaccuracies in this data or documentation, or as a result of the failure
of the data or software to function in a particular manner. NOAA GLERL and
its partners make no warranty, expressed or implied, as to the accuracy,
completeness, or utility of this information, nor does the fact of
distribution constitute a warranty. Real-time data have not been subjected to
quality control or quality assurance procedures. Timely delivery of data and
products through the Internet is not guaranteed. Before using information
obtained from this server, special attention should be given to the date and
time of the data and products being displayed.";
    String Great_Lakes_Coastal_Forecasting_System "https://www.glerl.noaa.gov/res/glcfs/";
    String history 
"FMRC Best Dataset
2017-10-23T20:50:15Z http://tds.glos.us/thredds/dodsC/glos/glcfs/huron/fcfmrc-2d/Lake_Huron_-_2D_best.ncd
2017-10-23T20:50:15Z http://upwell.pfeg.noaa.gov/griddap/glos_tds_bcae_d3b5_521c.das";
    String infoUrl "http://data.glos.us/portal/";
    String institution "NOAA/GLERL";
    String keywords 
"best, best time series, coastal, coordinate, data, density, environmental,
forecast, forecasting, glcfs, glerl, glos, great, great lakes, huron,
laboratory, lake, lakes, noaa, nodes, nsigma, observing, ocean,
ocean_sigma_coordinate, oceans,
Oceans > Salinity/Density > Density,
research, salinity, series, sigma, stretched, system, time, time series,
vertical";
    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_url "http://glos.us";
    String references "http://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 v29";
    String summary 
"GLCFS - Lake Huron - Forecast - 2D. Great Lakes Coastal Forecasting System
(Best Time Series). 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 title "GLCFS, Lake Huron, Forecast, 2D (Lake Huron, 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.

(easy) You can get data by using the dataset's Data Access Form. It makes the URL for you.
(easy) You can make a graph or map by using the dataset's Make A Graph form. It makes the URL for you.
(not hard) You can bypass the forms and get the data or make a graph or map by generating the URL by
hand or with a computer program or script.

griddap request URLs must be in the form
http://upwell.pfeg.noaa.gov/erddap/griddap/datasetID.fileType{?query}
For example,
http://upwell.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 variable name (e.g., analysed_sst),
followed by a set of [] for each of the variable's dimensions
(for example, [time][latitude][longitude]),
with your desired (start):stride:(stop) values within each [].

For details, see the griddap Documentation.

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