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Dataset Title:  VIIRS-SNPP Ocean Color 7-Day mean for the Southeast US Subscribe RSS
Institution:  USF IMaRS   (Dataset ID: vsnpp_oc_7d_seus)
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Make a graph
 
Dimensions ? Start ? Stride ? Stop ?  Size ?    Spacing ?
 time (UTC) ?      659    7 days 0h 48m 9s (uneven)
  < slider >
 latitude (degrees_north) ?      1265    -0.009088252 (even)
  < slider >
 longitude (degrees_east) ?      990    0.009088251 (even)
  < slider >
 
Grid Variables (which always also download all of the dimension variables) 
 chlor_a_median (Chlorophyll-a Median, mg m^-3) ?
 chlor_a_anom (Chlorophyll-a Anomaly, mg m^-3) ?
 chlor_a_clim (Chlorophyll-a Climatology (2013-2019), mg m^-3) ?
 Rrs_671_median (sr^-1) ?
 Rrs_671_anom (Rrs_671 Anomaly, sr^-1) ?
 Rrs_671_clim (Rrs_671 Climatology (2013-2019), sr^-1) ?
 Kd_490_median (m^-1) ?
 Kd_490_anom (Kd_490 Anomaly, m^-1) ?
 Kd_490_clim (Kd_490 CLimatology (2013-2019), m^-1) ?

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 {
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.3258944e+9, 1.7257536e+9;
    String axis "T";
    String ioos_category "Time";
    String long_name "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";
    Float32 actual_range 29.01245, 40.5;
    String axis "Y";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 actual_range -82.0, -73.01172;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  chlor_a_median {
    Float64 colorBarMaximum 20.0;
    Float64 colorBarMinimum 0.03;
    String colorBarScale "Log";
    String ioos_category "Ocean Color";
    String long_name "Chlorophyll-a Median";
    String Product "chlor_a";
    String standard_name "concentration_of_chlorophyll_in_sea_water";
    String units "mg m^-3";
  }
  chlor_a_anom {
    Float64 colorBarMaximum 3.0;
    Float64 colorBarMinimum -3.0;
    String ioos_category "Ocean Color";
    String long_name "Chlorophyll-a Anomaly";
    String Product "chlor_a_anomaly";
    String units "mg m^-3";
  }
  chlor_a_clim {
    String Climatology_period "2013-2019";
    Float64 colorBarMaximum 20.0;
    Float64 colorBarMinimum 0.03;
    String ioos_category "Ocean Color";
    String long_name "Chlorophyll-a Climatology (2013-2019)";
    String Product "chlor_a_climatology";
    String units "mg m^-3";
  }
  Rrs_671_median {
    String ioos_category "Optical Properties";
    String long_name "Rrs_671 Median";
    String Product "Rrs_671";
    String units "sr^-1";
  }
  Rrs_671_anom {
    Float64 colorBarMaximum 10.0;
    Float64 colorBarMinimum -10.0;
    String ioos_category "Optical Properties";
    String long_name "Rrs_671 Anomaly";
    String Product "Rrs_671_anomaly";
    String units "sr^-1";
  }
  Rrs_671_clim {
    String Climatology_period "2013-2019";
    String ioos_category "Optical Properties";
    String long_name "Rrs_671 Climatology (2013-2019)";
    String Product "Rrs_671_climatology";
    String units "sr^-1";
  }
  Kd_490_median {
    Float64 colorBarMaximum 1.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Unknown";
    String long_name "Kd_490 Median";
    String Product "Kd_490";
    String units "m^-1";
  }
  Kd_490_anom {
    Float64 colorBarMaximum 1.0;
    Float64 colorBarMinimum -1.0;
    String ioos_category "Unknown";
    String long_name "Kd_490 Anomaly";
    String Product "Kd_490_anomaly";
    String units "m^-1";
  }
  Kd_490_clim {
    String Climatology_period "2013-2019";
    Float64 colorBarMaximum 1.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Unknown";
    String long_name "Kd_490 CLimatology (2013-2019)";
    String Product "Kd_490_climatology";
    String units "m^-1";
  }
  NC_GLOBAL {
    String _NCProperties "version=2,netcdf=4.7.4,hdf5=1.8.12";
    String cdm_data_type "Grid";
    String Composite_end_date "08-Sep-2024";
    String Composite_start_date "02-Sep-2024";
    String contact "Dan Otis - dotis@usf.edu";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    String CreationDate "09/09/2024 10:09:45";
    String creator_email "dotis@usf.edu";
    String creator_name "DOTIS";
    String creator_type "institution";
    Float64 Easternmost_Easting -73.01172;
    Float64 geospatial_lat_max 40.5;
    Float64 geospatial_lat_min 29.01245;
    Float64 geospatial_lat_resolution 0.00908825158227848;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -73.01172;
    Float64 geospatial_lon_min -82.0;
    Float64 geospatial_lon_resolution 0.009088250758341762;
    String geospatial_lon_units "degrees_east";
    String history 
"2024-09-19T15:20:27Z (local files)
2024-09-19T15:20:27Z http://131.247.136.200:8080/erddap/griddap/vsnpp_oc_7d_seus.das";
    String Image_size "1265 pixels(N-S) x 990 pixels(E-W)";
    String infoUrl "???";
    String institution "USF IMaRS";
    String keywords "anomaly, chemistry, chlor, chlor_a_anom, chlor_a_median, chlorophyll, color, concentration, concentration_of_chlorophyll_in_sea_water, data, earth, Earth Science > Oceans > Ocean Chemistry > Chlorophyll, florida, img, img_x, img_y, Kd_490_anom, Kd_490_median, local, median, ocean, ocean color, oceans, optical, optical properties, properties, rrs, Rrs_671_anom, Rrs_671_median, science, sea, seawater, source, south, university, usf, water";
    String keywords_vocabulary "GCMD Science Keywords";
    String Lat_Lon_Limits "18.0129N to 31N -98W to -78.5148W";
    String LatLon_Limits "29.0124N to 40.5N -82W to -73.0117W";
    String Level2_file_version "r2022.0";
    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 40.5;
    String Ocean_color_masks_based_on_L2_flags "LAND,CLDICE,HIGLINT";
    String Original_Image_Format "Level2(NetCDF)";
    String Original_Image_Source "NASA Ocean Biology Processing Group";
    String Processing_and_binning "USF IMaRS";
    String Projection "Equidistant Cylindrical";
    String Region "Southeastern US (SEUS)";
    String Sensor "VIIRS-SNPP";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 29.01245;
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary "USF IMaRS VIIRS-SNPP SEUS MEAN_7D Ocean Color";
    String time_coverage_end "2024-09-08T00:00:00Z";
    String time_coverage_start "2012-01-07T00:00:00Z";
    String Time_interval "7-Day Composite (median)";
    String title "VIIRS-SNPP Ocean Color 7-Day mean for the Southeast US";
    Float64 Westernmost_Easting -82.0;
  }
}

 

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://coastwatch.pfeg.noaa.gov/erddap/griddap/datasetID.fileType{?query}
For example,
https://coastwatch.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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