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Dataset Title:  Chlorophyll, Copernicus S-3A OLCI, Near Real-Time, Sector QD 300m, Level 3, 90
days ago - present, Daily
  RSS
Institution:  Copernicus Program   (Dataset ID: noaacwS3AOLCIchlaSectorQDDaily)
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background | Data Access Form | Files
 
Graph Type:  ?
X Axis:  ?
Y Axis:  ?
Color:  ?
 
Dimensions ?    Start ?    Stop ?
time (UTC) ?     specify just 1 value →
    |< - >|
< <
altitude (m) ?     specify just 1 value →
   
< <
latitude (degrees_north) ?
    +
    -
< slider >
longitude (degrees_east) ?
    +
    -
< slider >
 
Graph Settings
Color Bar:   Continuity:   Scale: 
   Minimum:   Maximum:   N Sections: 
Draw land mask: 
Y Axis Minimum:   Maximum:   
 
(Please be patient. It may take a while to get the data.)
 
Optional:
Then set the File Type: (File Type information)
and
or view the URL:
(Documentation / Bypass this form ? )
    Click on the map to specify a new center point. ?
Zoom:
[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:

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.7255381005e+9, 1.733354497e+9;
    String axis "T";
    String calendar "gregorian";
    String ioos_category "Time";
    String long_name "Centered Time";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  altitude {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "up";
    Float64 actual_range 0.0, 0.0;
    String axis "Z";
    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 -45.18625000000001, -29.813750000000006;
    String axis "Y";
    String ioos_category "Location";
    String long_name "Latitude";
    String source_name "rows";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float64 actual_range 139.96375000000003, 160.03625000000002;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String source_name "cols";
    String standard_name "longitude";
    String units "degrees_east";
  }
  chlor_a {
    Float32 _FillValue NaN;
    Float64 colorBarMaximum 30.0;
    Float64 colorBarMinimum 0.03;
    String colorBarScale "Log";
    String coverage_content_type "physical_measurement";
    String cw_atmospheric_correction "ESA MERIS (1999) Atmospheric Correction";
    Int32 cw_fraction_digits 6;
    String cw_processing_algorithm "OC4Me Algorithm";
    String cw_product_status "Experimental";
    String grid_mapping "coord_ref";
    String ioos_category "Ocean Color";
    String long_name "Chlor A";
    Float32 missing_value NaN;
    String standard_name "concentration_of_chlorophyll_in_sea_water";
    String units "mg m^-3";
  }
  NC_GLOBAL {
    String cdm_data_type "Grid";
    String Conventions "CF-1.6, COARDS, ACDD-1.3";
    String creator_email "coastwatch.info@noaa.gov";
    String creator_name "NOAA/NESDIS/STAR/SOCD/CoastWatch";
    String creator_type "institution";
    String creator_url "https://coastwatch.noaa.gov";
    String cw_orbit_type "descending";
    String cw_pass_type "day";
    String cw_processing_version "NRT S3A_OL_2_WFR";
    String cw_projection "Geographic";
    String cw_satellite "Sentinel-3A";
    String cw_sensor "OLCI";
    String cw_station_code "MAR";
    String cw_station_name "European Organisation for the Exploitation of Meteorological Satellites";
    Int32 cw_swath_sync_lines 1, 1, 1, 1, 1;
    String date_created "2021-02-17T07:18:36Z";
    Float64 Easternmost_Easting 160.03625000000002;
    String geospatial_bounds "POLYGON((139.96375 -29.81375,144.981875 -29.81375,150.0 -29.81375,155.018125 -29.81375,160.03625 -29.81375,160.03625 -33.656875,160.03625 -37.5,160.03625 -41.343125,160.03625 -45.18625,155.018125 -45.18625,150.0 -45.18625,144.981875 -45.18625,139.96375 -45.18625,139.96375 -41.343125,139.96375 -37.5,139.96375 -33.656875,139.96375 -29.81375))";
    Float64 geospatial_lat_max -29.813750000000006;
    Float64 geospatial_lat_min -45.18625000000001;
    Float64 geospatial_lat_resolution 0.0025000000000000005;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 160.03625000000002;
    Float64 geospatial_lon_min 139.96375000000003;
    Float64 geospatial_lon_resolution 0.0024999999999999988;
    String geospatial_lon_units "degrees_east";
    Float64 geospatial_vertical_max 0.0;
    Float64 geospatial_vertical_min 0.0;
    String geospatial_vertical_positive "up";
    String geospatial_vertical_units "m";
    String history 
"See individual data file
2024-12-07T02:05:24Z (local files)
2024-12-07T02:05:24Z https://coastwatch.noaa.gov/griddap/noaacwS3AOLCIchlaSectorQDDaily.das";
    String id "noaacwS3AOLCIchlaSectorQDDaily";
    String infoUrl "https://coastwatch.noaa.gov/cw/satellite-data-products/ocean-color/near-real-time/olci-sentinel3-global.html";
    String institution "Copernicus Program";
    String instrument "OLCI";
    String keywords "altitude, chemistry, chlor, chlor_a, chlora, chlorophyll, color, cols, concentration, concentration_of_chlorophyll_in_sea_water, copernicus, data, earth, Earth Science > Oceans > Ocean Chemistry > Chlorophyll, ocean, ocean color, oceans, olci, program, rows, science, sea, seawater, sentinel, sentinel-3a, water";
    String keywords_vocabulary "GCMD Science Keywords";
    String license 
"Data courtesy of Copernicus Program. Any use of this data must include the statement: Contains modified Copernicus Sentinel data. 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 naming_authority "gov.noaa.coastwatch";
    Float64 Northernmost_Northing -29.813750000000006;
    String OBSERVED_PROPERTY "chlor_a";
    String platform "Sentinel-3A";
    String source "Sentinel-3A_OLCI_chlora";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing -45.18625000000001;
    String standard_name_vocabulary "CF Standard Name Table v29";
    String summary "Daily assembly of chlora from Sentinel-3A OLCI, data courtesy of Copernicus Program, mapping matches NOAA CoastWatch VIIRS Sectors";
    String testOutOfDate "now-2days";
    String time_coverage_end "2024-12-04T23:21:37Z";
    String time_coverage_start "2024-09-05T12:08:20Z";
    String title "Chlorophyll, Copernicus S-3A OLCI, Near Real-Time, Sector QD 300m, Level 3, 90 days ago - present, Daily";
    Float64 Westernmost_Easting 139.96375000000003;
  }
}

 

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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