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Dataset Title:  Lake Huron Relative Mean Lake Surface (1992-2020). The dataset is still in
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Institution:  Yuanyuan Jia, CK Shum, DGS, SES, OSU/ Philip Chu, GLERL NOAA   (Dataset ID: LH_RMLS_1992-2020)
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Files | Make a graph
Dimensions ? Start ? Stride ? Stop ?  Size ?    Spacing ?
 latitude (degrees_north) ?      330    0.01 (even)
  < slider >
 longitude (degrees_east) ?      511    0.01 (even)
  < slider >
Grid Variables (which always also download all of the dimension variables) 
 rmls (relative mean lake surface, IGLD85, millimeter) ?

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 {
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 actual_range 43.004760000000005, 46.294760000000004;
    String axis "Y";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  longitude {
    String _CoordinateAxisType "Lon";
    Float64 actual_range -84.76525000000001, -79.66525000000001;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  rmls {
    Float64 colorBarMaximum 52.736328975657955;
    Float64 colorBarMinimum -94.41156960069638;
    String ioos_category "Statistics";
    String long_name "relative mean lake surface, IGLD85";
    String units "millimeter";
    String cdm_data_type "Grid";
    String Conventions "CF-1.6, COARDS, ACDD-1.3";
    Float64 Easternmost_Easting -79.66525000000001;
    Float64 geospatial_lat_max 46.294760000000004;
    Float64 geospatial_lat_min 43.004760000000005;
    Float64 geospatial_lat_resolution 0.009999999999999997;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -79.66525000000001;
    Float64 geospatial_lon_min -84.76525000000001;
    Float64 geospatial_lon_resolution 0.009999999999999988;
    String geospatial_lon_units "degrees_east";
    String history 
"2024-05-29T15:37:23Z (local files)
    String infoUrl "";
    String institution "Yuanyuan Jia, CK Shum, DGS, SES, OSU/ Philip Chu, GLERL NOAA";
    String keywords "data, igld85, lake, local, mean, relative, rmls, source, statistics, surface";
    String license 
"The data may be used and redistributed for free but is not intended
for legal use, since it may contain inaccuracies. Neither the data
Contributor, ERD, NOAA, nor the United States Government, nor any
of their employees or contractors, makes any warranty, express or
implied, including warranties of merchantability and fitness for a
particular purpose, or assumes any legal liability for the accuracy,
completeness, or usefulness, of this information.";
    Float64 Northernmost_Northing 46.294760000000004;
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 43.004760000000005;
    String standard_name_vocabulary "CF Standard Name Table v29";
    String summary "Data from a local source.";
    String title "Lake Huron Relative Mean Lake Surface (1992-2020). The dataset is still in development.";
    Float64 Westernmost_Easting -84.76525000000001;


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{?query}
For example,[(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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