Make A Graph

Dataset Title:	3 hour AOT forecast from GEFS-Aerosols
Institution:	NOAA/AOML/PHOD/Atlantic OceanWatch (Dataset ID: GEFS_Aerosols_bfd8_ee31_ed8b)
Information:	Summary \| License \| FGDC \| ISO 19115 \| Metadata \| Background \| Data Access Form

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Graph Type:
X Axis:
Y Axis:
Color:

Dimensions

Start

Stop

time (UTC)

specify just 1 value →

latitude (degrees_north)

longitude (degrees_east)

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:

Web page authors can embed a graph of the latest data in a web page using HTML <img> tags.
Anyone can use ERDDAPs Slide Sorter to build a personal web page that displays graphs with the latest data (or other images or HTML content), each in its own, draggable slide.

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.7144352e+9, 1.7148672e+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";
    Float64 actual_range -90.0, 90.0;
    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";
    Float64 actual_range 0.0, 359.75;
    String axis "X";
    String CoordinateAxisType "Lon";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  AOTK_entireatmosphere {
    Float32 _FillValue 9.999e+20;
    Float32 colorBarMaximum 1.0;
    Float32 colorBarMinimum 0.0;
    String coordsys "geographic";
    String ioos_category "Optical Properties";
    String level "entire atmosphere";
    String long_name "Aerosol Optical Thickness";
    String references "https://nomads.ncep.noaa.gov/txt_descriptions/GFS_Ensemble_Chem_doc.shtml";
    String short_name "AOTK_entireatmosphere";
    String standard_name "550nm atmosphere_optical_thickness_due_to_ambient_aerosol";
    String units "Numeric";
    String variable_info "3-hour forecast NOAA GEFS-Aerosols 550nm Aerosol Optical Thickness";
  }
  NC_GLOBAL {
    String cdm_data_type "Grid";
    String comment "3 hour 550nm AOT forecast from GEFS-Aerosols";
    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 "NOAA/AOML/PHOD/Atlantic OceanWatch";
    String creator_type "institution";
    String creator_url "https://www.aoml.noaa.gov/phod/";
    String data_source "GEFS-Aerosols, provided by NOAA/AOML/PHOD/Atlantic OceanWatch";
    Float64 Easternmost_Easting 359.75;
    Float64 geospatial_lat_max 90.0;
    Float64 geospatial_lat_min -90.0;
    Float64 geospatial_lat_resolution 0.25;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 359.75;
    Float64 geospatial_lon_min 0.0;
    Float64 geospatial_lon_resolution 0.25;
    String geospatial_lon_units "degrees_east";
    String history 
"2024-04-30T17:23:22Z (local files)
2024-04-30T17:23:22Z https://oceanwatch.aoml.noaa.gov/griddap/GEFS_Aerosols_bfd8_ee31_ed8b.das";
    String infoUrl "https://www.aoml.noaa.gov/phod/";
    String institution "NOAA/AOML/PHOD/Atlantic OceanWatch";
    String keywords "aerosol, aerosols, ambient, aod, aoml, aot, AOTK_entireatmosphere, atlantic, atmosphere, atmosphere_optical_thickness_due_to_ambient_aerosol, chem, data, depth, division, due, earth, Earth Science > Atmosphere > Aerosols > Aerosol Optical Depth/Thickness, Earth Science > Atmosphere > Aerosols > Aerosol Particle Properties, Earth Science > Atmosphere > Aerosols > Particulate Matter, forecast, gefs, gefs-aerosols, hour, laboratory, matter, meteorological, noaa, oceanographic, oceanography, oceanwatch, optical, optical properties, optical thickness, particle, particulate, phod, physical, properties, satellite, science, thickness, time";
    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 90.0;
    String origin "NOAA/AOML/PHOD/Atlantic OceanWatch";
    String source_data "NOAA GEFS-Aerosols, extracted by Atlantic OceanWatch";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing -90.0;
    String spatial_resolution "0.25 degree";
    String standard_name_vocabulary "CF Standard Name Table v32";
    String summary "3 hour Aerosol Optical Thickness (AOT) forecast from GEFS-Aerosols";
    String testOutOfDate "now+4days";
    String time_coverage_end "2024-05-05T00:00:00Z";
    String time_coverage_start "2024-04-30T00:00:00Z";
    String title "3 hour AOT forecast from GEFS-Aerosols";
    Float64 Westernmost_Easting 0.0;
  }
}

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.

(easy) You can get data by using the dataset's Data Access Form. It makes the URL for you.
(easy) You can make a graph or map by using the dataset's Make A Graph form. It makes the URL for you.
(not hard) You can bypass the forms and get the data or make a graph or map by generating the URL by hand or with a computer program or script.

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.