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Dataset Title:  zChlorophyll-a, Sentinel-3 experimental product for Chesapeake Bay, up to 10
day composite, 300m
  RSS
Institution:  Copernicus Program   (Dataset ID: s3_nccos_d797_7ec9_e079)
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Make a graph
 
Dimensions ? Start ? Stride ? Stop ?  Size ?    Spacing ?
 time (UTC) ?      264    10 days 15h 41m 45s (uneven)
  < slider >
 level (Altitude, m) ?      1    (just one value)
  < slider >
 latitude (degrees_north) ?      1790    -0.002028 (even)
  < slider >
 longitude (degrees_east) ?      1320    0.002028 (even)
  < slider >
 
Grid Variables (which always also download all of the dimension variables) 
 chlora (Chlorophyll-a from 2-band RE10 Coastal Processing, mg m^-3) ?

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 1.461888e+9, 1.7039808e+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";
  }
  level {
    Float64 actual_range 0.0, 0.0;
    String ioos_category "Location";
    String long_name "Altitude";
    String positive "up";
    String standard_name "altitude";
    String units "m";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 actual_range 36.455954, 40.084046;
    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 -77.33705, -74.662118;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  chlora {
    String cell_methods "area: mean";
    Float64 colorBarMaximum 30.0;
    Float64 colorBarMinimum 0.03;
    String colorBarScale "Log";
    String ioos_category "Ocean Color";
    String long_name "Chlorophyll-a from 2-band RE10 Coastal Processing";
    Float32 missing_value -999.0;
    String standard_name "concentration_of_chlorophyll_in_sea_water";
    String units "mg m^-3";
  }
  NC_GLOBAL {
    String cdm_data_type "Grid";
    String Conventions "CF-1.10, COARDS, ACDD-1.3";
    String creator_name "NOAA NCCOS";
    String creator_type "institution";
    Float64 Easternmost_Easting -74.662118;
    Float64 geospatial_lat_max 40.084046;
    Float64 geospatial_lat_min 36.455954;
    Float64 geospatial_lat_resolution 0.002028000000000001;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -74.662118;
    Float64 geospatial_lon_min -77.33705;
    Float64 geospatial_lon_resolution 0.0020279999999999986;
    String geospatial_lon_units "degrees_east";
    Float64 grid_mapping_inverse_flattening 298.257223653;
    Float64 grid_mapping_longitude_of_prime_meridian 0.0;
    String grid_mapping_name "latitude_longitude";
    Float64 grid_mapping_semi_major_axis 6378137.0;
    String history 
"[2024-03-06 21:24:42 UTC cwutils-3.8.1.772 20231231_112737 michael.soracco] cwexport ts_2023.1217_1231.L4.CB3.chl_gil_rhos.v3.MAXIMUM_10day.geo.nc.hdf ts_2023.1217_1231.L4.CB3.chl_gil_rhos.v3.MAXIMUM_10day.geo.nc
2025-04-05T23:36:43Z (local files)
2025-04-05T23:36:43Z https://coastwatch.noaa.gov/erddap/griddap/s3_nccos_d797_7ec9_e079.das";
    String infoUrl "none";
    String institution "Copernicus Program";
    String keywords "2-band, band, chemistry, chlora, chlorophyll, chlorophyll-a, coastal, color, concentration, concentration_of_chlorophyll_in_sea_water, copernicus, data, earth, Earth Science > Oceans > Ocean Chemistry > Chlorophyll, level, local, ocean, ocean color, oceans, processing, program, re10, science, sea, seawater, source, time, water";
    String keywords_vocabulary "GCMD Science Keywords";
    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 40.084046;
    String source "SENTINEL3A_OLCI";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 36.455954;
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary "Copernicus Program data processed and composited by NOAA NCCOS";
    String testOutOfDate "now-134days";
    String time_coverage_end "2023-12-31T00:00:00Z";
    String time_coverage_start "2016-04-29T00:00:00Z";
    String title "zChlorophyll-a, Sentinel-3 experimental product for Chesapeake Bay, up to 10 day composite, 300m";
    Float64 Westernmost_Easting -77.33705;
  }
}

 

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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