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Dataset Title:  3-day cumulative USF AFAI Fields (USF AFAI 3D AOML), 2016-present Subscribe RSS
Institution:  USDOC/NOAA/OAR/AOML/PHOD   (Dataset ID: noaa_aoml_5dfb_b8e6_99f6)
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Make a graph
Dimensions ? Start ? Stride ? Stop ?  Size ?    Spacing ?
 time (Reference Time, UTC) ?      428    1 day 12h 8m 26s (uneven)
  < slider >
 latitude (degrees_north) ?      2534    0.01500197 (even)
  < slider >
 longitude (degrees_east) ?      4001    0.015 (even)
  < slider >
Grid Variables (which always also download all of the dimension variables)
 AFAI (AFAI (Alternative Floating Algae Index)) ?

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 1.4662512e+9, 1.5218064e+9;
    String axis "T";
    String calendar "Gregorian";
    String CoordinateAxisType "Time";
    String ioos_category "Time";
    String long_name "Reference 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 0.0, 38.0;
    String axis "Y";
    String CoordinateAxisType "Lat";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 actual_range -98.0, -38.0;
    String axis "X";
    String CoordinateAxisType "Lon";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  AFAI {
    Float32 _FillValue NaN;
    Float32 actual_range -0.002, 0.004;
    Float64 colorBarMaximum 0.006;
    Float64 colorBarMinimum -0.004;
    String coordsys "geographic";
    String ioos_category "Biology";
    String long_name "AFAI (Alternative Floating Algae Index)";
    String variable_info "3-day cumulative USF Alternative Floating Algae Index";
    String cdm_data_type "Grid";
    String comment 
"3-day cumulative Alternate Floating Algae Index";
    String contact "";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    String creator_email "";
    String creator_name "Physical Oceanography Division at NOAA/AOML";
    String creator_type "institution";
    String creator_url "";
    Float64 Easternmost_Easting -38.0;
    Float64 geospatial_lat_max 38.0;
    Float64 geospatial_lat_min 0.0;
    Float64 geospatial_lat_resolution 0.015001973943939992;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -38.0;
    Float64 geospatial_lon_min -98.0;
    Float64 geospatial_lon_resolution 0.015;
    String geospatial_lon_units "degrees_east";
    String history 
    String id "USF_AFAI_3D_AOML";
    String infoUrl "";
    String institution "USDOC/NOAA/OAR/AOML/PHOD";
    String keywords "3-day, afai, algae, alternative, aoml, atlantic, atmospheric, biology, caribbean, commerce, cumulative, data, day, department, division, fields, floating, florida, gulf of mexico, imager, imager/radiometer, imaging, index, infrared, laboratory, latitude, longitude, meteorological, moderate, modis, noaa, oar, oceanic, oceanographic, oceanography, office, phod, physical, radiometer, research, resolution, sargassum, south, spectroradiometer, states, suite, time, united, university, usdoc, usf, viirs, visible";
    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 38.0;
    String source_data "Optical Oceanography Laboratory- College of Marine Science- University of South Florida";
    String sourceUrl "";
    Float64 Southernmost_Northing 0.0;
    String spatial_resolution "0.015";
    String standard_name_vocabulary "CF Standard Name Table v32";
    String summary 
"3-day cumulative University of South Florida (USF) AFAI Fields. AFAI: Alternate Floating Algae Index (in reflectance units) to detect ocean surface features such as Sargassum, green macroalgae, and cyanobacteria. AFAI is estimated by Chuanmin Hu (USF). AFAI is sensitive to detect subtle ocean surface features, but it saturates under sun glint, clouds, or thick aerosols. Reference: Hu, C., L. Feng, R. F. Hardy, and E. J. Hochberg (2015). Spectral and spatial requirements of remote measurements of pelagic Sargassum macro algae. Remote Sens. Environ. 167:229-246. doi:10.1016/j.rse.2015.05.022.
For technical questions, please contact Joaquin Trinanes ( For scientific questions, contact Chuanmin Hu (";
    Float64 temporal_extent 86400.0;
    String temporal_extent_unit "seconds";
    String time_coverage_end "2018-03-23T12:00:00Z";
    String time_coverage_start "2016-06-18T12:00:00Z";
    String title "3-day cumulative USF AFAI Fields (USF AFAI 3D AOML), 2016-present";
    Float64 Westernmost_Easting -98.0;


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{?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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