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Dataset Title:  Chlorophyll, Copernicus S-3A OLCI, Near Real-Time, Global 4km, Level 3, 2019-
present, Daily
Institution:  NOAA NESDIS CoastWatch   (Dataset ID: noaacwS3AOLCIchlaDaily)
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.)
Then set the File Type: (File Type information)
or view the URL:
(Documentation / Bypass this form ? )
    Click on the map to specify a new center point. ?
[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 1.5598224e+9, 1.6266096e+9;
    String axis "T";
    String bounds "time_bounds";
    String calendar "gregorian";
    String ioos_category "Time";
    String long_name "Time Baseline";
    String source_name "time_baseline";
    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 -89.75625000000002, 89.75625000000001;
    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 -179.98125000000002, 179.98124999999996;
    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 64.7;
    Float64 colorBarMinimum 0.001;
    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 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 "Chlorophyll-a";
    Float32 missing_value NaN;
    String standard_name "concentration_of_chlorophyll_in_sea_water";
    String units "mg m^-3";
  graphics {
    Byte _FillValue 0;
    String _Unsigned "false";
    Float64 colorBarMaximum 20.0;
    Float64 colorBarMinimum 0.0;
    Int32 cw:fraction_digits 0;
    String grid_mapping "coord_ref";
    String ioos_category "Other";
    String long_name "graphics overlay planes";
    Byte missing_value 0;
    String cdm_data_type "Grid";
    String Conventions "CF-1.6, COARDS, ACDD-1.3";
    String creator_email "";
    String creator_name "NOAA/NESDIS/STAR/SOCD/CoastWatch";
    String creator_type "institution";
    String creator_url "";
    String cw:cwhdf_version "3.1";
    Float64 cw:et_affine 0.0, -0.037500000000000006, 0.0375, 0.0, -179.98125000000002, 89.75625000000001;
    Int32 cw:gctp_datum 12;
    Float64 cw:gctp_parm 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0;
    Int32 cw:gctp_sys 0;
    Int32 cw:gctp_zone 62;
    String cw:orbit_type "descending";
    Int32 cw:pass_date 18826, 18826, 18826, 18826, 18826;
    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";
    Float64 cw:start_time 17045.0, 17225.0, 17405.0, 23105.0, 23285.0;
    String cw:station_code "MAR";
    String cw:station_name "Copernicus Sentinel Service";
    Int32 cw:swath_sync_lines 1, 1, 1;
    Float64 cw:temporal_extent 180.0, 180.0, 180.0, 180.0, 180.0;
    String date_created "2021-01-13T18:07:41Z";
    Float64 Easternmost_Easting 179.98124999999996;
    Float64 geospatial_lat_max 89.75625000000001;
    Float64 geospatial_lat_min -89.75625000000002;
    Float64 geospatial_lat_resolution 0.03750000000000001;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 179.98124999999996;
    Float64 geospatial_lon_min -179.98125000000002;
    Float64 geospatial_lon_resolution 0.0375;
    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 
"[Sentinel-SAFE][cwutils 20201118_155352]
2021-07-27T15:52:26Z (local files)
    String infoUrl "";
    String institution "NOAA NESDIS CoastWatch";
    String instrument "OLCI";
    String keywords "altitude, baseline, chemistry, chlor, chlor_a, chlora, chlorophyll, color, cols, concentration, concentration_of_chlorophyll_in_sea_water, copernicus, data, earth, Earth Science > Oceans > Ocean Chemistry > Chlorophyll, geometric, graphics, mean, ocean, ocean color, oceans, olci, optical, optical properties, overlay, planes, program, properties, rows, science, sea, seawater, sentinel, sentinel-3a, time_baseline, 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 89.75625000000001;
    String OBSERVED_PROPERTY "chlor_a";
    String platform "Sentinel-3A";
    String source "Sentinel-3A_OLCI_chlora";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing -89.75625000000002;
    String standard_name_vocabulary "CF Standard Name Table v29";
    String summary "Data courtesy of Copernicus Program. Geometric Mean Baseline of OC4Me chlora from Sentinel-3A OLCI";
    String testOutOfDate "now-5days";
    String time_coverage_end "2021-07-18T12:00:00Z";
    String time_coverage_start "2019-06-06T12:00:00Z";
    String title "Chlorophyll, Copernicus S-3A OLCI, Near Real-Time, Global 4km, Level 3, 2019-present, Daily";
    Float64 Westernmost_Easting -179.98125000000002;


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.


ERDDAP, Version 2.12

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