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Dataset Title:  7-day cumulative USF AFAI Fields (USF AFAI 7D AOML) (USFAFAI7D) Subscribe RSS
Institution:  USDOC/NOAA/OAR/AOML/PHOD   (Dataset ID: noaa_aoml_atlantic_oceanwatch_AFAI_7D)
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Data Access Form
 
Graph Type:  ?
X Axis:  ?
Y Axis:  ?
Color:  ?
 
Dimensions ?    Start ?    Stop ?
time (UTC) ?     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:   Ascending: 
 
(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 1.4662512e+9, 1.5560208e+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 "7-day cumulative USF Alternative Floating Algae Index";
  }
  NC_GLOBAL {
    String cdm_data_type "Grid";
    String comment 
"7-day cumulative Alternate Floating Algae Index
 http://optics.marine.usf.edu";
    String contact "Joaquin.Trinanes@noaa.gov";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    String creator_email "Joaquin.Trinanes@noaa.gov";
    String creator_name "Physical Oceanography Division at NOAA/AOML";
    String creator_type "institution";
    String creator_url "http://www.aoml.noaa.gov/phod/";
    String data_source "USDOC/NOAA/OAR/AOML/PHOD ATLANTIC OCEANWATCH";
    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 
"2019-04-24T00:43:55Z https://cwcgom.aoml.noaa.gov/thredds/dodsC/AFAI/USFAFAI7D.nc
2019-04-24T00:43:55Z http://cwcgom.aoml.noaa.gov:8080/griddap/noaa_aoml_atlantic_oceanwatch_AFAI_7D.das";
    String infoUrl "https://cwcgom.aoml.noaa.gov/thredds/dodsC/AFAI/USFAFAI7D.nc.html";
    String institution "USDOC/NOAA/OAR/AOML/PHOD";
    String keywords "7-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, meteorological, moderate, modis, noaa, oar, oceanic, oceanographic, oceanography, office, phod, physical, radiometer, research, resolution, sargassum, south, spectroradiometer, states, suite, time, united, university, usdoc, usf, usfafai7d, 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 origin "USDOC/NOAA/OAR/AOML/PHOD ATLANTIC OCEANWATCH";
    String source_data "Optical Oceanography Laboratory- College of Marine Science- University of South Florida";
    String sourceUrl "https://cwcgom.aoml.noaa.gov/thredds/dodsC/AFAI/USFAFAI7D.nc";
    Float64 Southernmost_Northing 0.0;
    String spatial_resolution "0.015";
    String standard_name_vocabulary "CF Standard Name Table v32";
    String summary 
"7-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 (joaquin.trinanes@noaa.gov). For scientific questions, contact Chuanmin Hu (huc@usf.edu). (USF AFAI 3D Atlantic Oceanographic & Meteorological Laboratory (AOML))";
    Float64 temporal_extent 86400.0;
    String temporal_extent_unit "seconds";
    String time_coverage_end "2019-04-23T12:00:00Z";
    String time_coverage_start "2016-06-18T12:00:00Z";
    String title "7-day cumulative USF AFAI Fields (USF AFAI 7D AOML) (USFAFAI7D)";
    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
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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