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Dataset Title:  Color Producing Agent (CPA) Near Real Time (NRT) KDPAR, VIIRS, Lake
Michigan (2021-current)
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Institution:  CoastWatch Great Lakes Node   (Dataset ID: LM_KDpar_NRT)
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Files | Make a graph
Dimensions ? Start ? Stride ? Stop ?  Size ?    Spacing ?
 time (Easten Time, UTC) ?      1652    13h 17m 14s (uneven)
  < slider >
 latitude (degrees_north) ?      391    0.01248809 (even)
  < slider >
 longitude (degrees_east) ?      300    0.012491 (even)
  < slider >
Grid Variables (which always also download all of the dimension variables)

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 1.617129511e+9, 1.696103012e+9;
    String axis "T";
    String calendar "Gregorian";
    Int32 fraction_digits 0;
    String ioos_category "Time";
    String long_name "Easten Time";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 actual_range 41.3389808729366, 46.209336730808;
    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 -88.2680418693138, -84.5332340202579;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  kdpar {
    Float32 _FillValue -999.0;
    Float64 colorBarMaximum 1.0;
    Float64 colorBarMinimum 0.05;
    String colorBarPalette "CHL_Lake_S_M_H";
    String colorBarScale "Log";
    String grid_mapping "crs";
    String ioos_category "Ocean Color";
    String long_name "KDPAR, VIIRS NRT, EXPERIMENTAL}";
    String standard_name "kdpar_in_lake_water";
    String units "Kd(PAR) m^-1";
    String cdm_data_type "Grid";
    Float32 colorBarMaximum 1.0;
    Float32 colorBarMinimum 0.05;
    String colorBarScale "Log";
    String Conventions "CF-1.6, COARDS, ACDD-1.3";
    Float64 Easternmost_Easting -84.5332340202579;
    String GDAL "GDAL 2.1.3, released 2017/20/01";
    String GDAL_AREA_OR_POINT "Area";
    String GDAL_TIFFTAG_SOFTWARE "IDL 8.7.2, Harris Geospatial Solutions, Inc.";
    Float64 geospatial_lat_max 46.209336730808;
    Float64 geospatial_lat_min 41.3389808729366;
    Float64 geospatial_lat_resolution 0.012488091943259987;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -84.5332340202579;
    Float64 geospatial_lon_min -88.2680418693138;
    Float64 geospatial_lon_resolution 0.012490996150688669;
    String geospatial_lon_units "degrees_east";
    String history 
"Sun Oct  1 10:47:30 2023: ncrename -v Band1,kdpar /mnt/cwdata/p/p/moc/2023/09/
Sun Oct 01 10:47:30 2023: GDAL CreateCopy( /mnt/cwdata/p/p/moc/2023/09/, ... )
2023-10-02T18:29:38Z (local files)
    String infoUrl "";
    String institution "CoastWatch Great Lakes Node";
    String keywords "agent, color, cpa, data, experimental, imager, imager/radiometer, imaging, infrared, kdpar, lake, michigan, near, nrt, producing, radiometer, real, suite, time, viirs, visible";
    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.";
    String NCO "netCDF Operators version 4.7.5 (Homepage =, Code =";
    Float64 Northernmost_Northing 46.209336730808;
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 41.3389808729366;
    String standard_name_vocabulary "CF Standard Name Table v29";
    String summary "Color Producing Agent (CPA) Near Real Time (NRT) KDPAR, Lake Michigan";
    String testOutOfDate "now-11days";
    String time_coverage_end "2023-09-30T19:43:32Z";
    String time_coverage_start "2021-03-30T18:38:31Z";
    String title "Color Producing Agent (CPA) Near Real Time (NRT) KDPAR,  VIIRS, Lake Michigan (2021-current)";
    Float64 Westernmost_Easting -88.2680418693138;


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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