Make A Graph

Dataset Title:	MODIS-Aqua Ocean Color 7-Day means for GOM
Institution:	USF IMaRS (Dataset ID: moda_oc_7d_gom)
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 1.0260864e+9, 1.7257536e+9;
    String axis "T";
    String ioos_category "Time";
    String long_name "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 18.01288, 31.0;
    String axis "Y";
    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, -78.51478;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  chlor_a_median {
    Float64 colorBarMaximum 20.0;
    Float64 colorBarMinimum 0.03;
    String colorBarScale "Log";
    String ioos_category "Ocean Color";
    String long_name "Chlorophyll-a Median";
    String Product "chlor_a";
    String standard_name "concentration_of_chlorophyll_in_sea_water";
    String units "mg m^-3";
  }
  chlor_a_anom {
    Float64 colorBarMaximum 3.0;
    Float64 colorBarMinimum -3.0;
    String ioos_category "Ocean Color";
    String long_name "Chlorophyll-a Anomaly";
    String Product "chlor_a_anomaly";
    String units "mg m^-3";
  }
  chlor_a_clim {
    String Climatology_period "2003-2019";
    Float64 colorBarMaximum 20.0;
    Float64 colorBarMinimum 0.03;
    String ioos_category "Ocean Color";
    String long_name "Chlorophyll-a Climatology (2003-2019)";
    String Product "chlor_a_climatology";
    String units "mg m^-3";
  }
  Rrs_667_median {
    Float64 colorBarMaximum 0.02;
    Float64 colorBarMinimum 1.0e-4;
    String ioos_category "Optical Properties";
    String long_name "Rrs_667 Median";
    String Product "Rrs_667";
    String units "sr^-1";
  }
  Rrs_667_anom {
    Float64 colorBarMaximum 0.01;
    Float64 colorBarMinimum -0.01;
    String ioos_category "Optical Properties";
    String long_name "Rrs_667 Anomaly";
    String Product "Rrs_667_anomaly";
    String units "sr^-1";
  }
  Rrs_667_clim {
    String Climatology_period "2003-2019";
    Float64 colorBarMaximum 0.02;
    Float64 colorBarMinimum 1.0e-4;
    String ioos_category "Optical Properties";
    String long_name "Rrs_667 Climatology (2003-2019)";
    String Product "Rrs_667_climatology";
    String units "sr^-1";
  }
  ABI_median {
    Float64 colorBarMaximum 0.5;
    Float64 colorBarMinimum 0.001;
    String ioos_category "Unknown";
    String long_name "Algal Bloom Index Median";
    String Product "ABI";
    String units "W m^-2 um^-1 sr^-1";
  }
  ABI_anom {
    Float64 colorBarMaximum 0.25;
    Float64 colorBarMinimum -0.25;
    String ioos_category "Unknown";
    String long_name "Algal Bloom Index Anomaly";
    String Product "ABI_anomaly";
    String units "W m^-2 um^-1 sr^-1";
  }
  ABI_clim {
    String Climatology_period "2003-2019";
    Float64 colorBarMaximum 0.5;
    Float64 colorBarMinimum 0.001;
    String ioos_category "Unknown";
    String long_name "Algal Bloom Index Climatology (2003-2019)";
    String Product "ABI_climatology";
    String units "W m^-2 um^-1 sr^-1";
  }
  Kd_490_median {
    Float64 colorBarMaximum 1.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Unknown";
    String long_name "Kd_490 Median";
    String Product "Kd_490";
    String units "m^-1";
  }
  Kd_490_anom {
    Float64 colorBarMaximum 1.0;
    Float64 colorBarMinimum -1.0;
    String ioos_category "Unknown";
    String long_name "Kd_490 Anomaly";
    String Product "Kd_490_anomaly";
    String units "m^-1";
  }
  Kd_490_clim {
    String Climatology_period "2003-2019";
    Float64 colorBarMaximum 1.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Unknown";
    String long_name "Kd_490 CLimatology (2003-2019)";
    String Product "Kd_490_climatology";
    String units "m^-1";
  }
  NC_GLOBAL {
    String _NCProperties "version=2,netcdf=4.7.4,hdf5=1.8.12";
    String cdm_data_type "Grid";
    String Composite_end_date "08-Sep-2024";
    String Composite_start_date "02-Sep-2024";
    String contact "Dan Otis - dotis@usf.edu";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    String CreationDate "09/09/2024 10:03:05";
    String creator_email "dotis@usf.edu";
    String creator_name "DOTIS";
    String creator_type "institution";
    Float64 Easternmost_Easting -78.51478;
    Float64 geospatial_lat_max 31.0;
    Float64 geospatial_lat_min 18.01288;
    Float64 geospatial_lat_resolution 0.009088257522743177;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -78.51478;
    Float64 geospatial_lon_min -98.0;
    Float64 geospatial_lon_resolution 0.009088255597014925;
    String geospatial_lon_units "degrees_east";
    String history 
"2024-09-16T04:46:52Z (local files)
2024-09-16T04:46:52Z http://131.247.136.200:8080/griddap/moda_oc_7d_gom.das";
    String Image_size "1430 pixels(N-S) x 2145 pixels(E-W)";
    String infoUrl "imars.usf.edu";
    String institution "USF IMaRS";
    String keywords "abi, ABI_anom, ABI_median, anomaly, chemistry, chlor, chlor_a_anom, chlor_a_median, chlorophyll, color, concentration, concentration_of_chlorophyll_in_sea_water, data, earth, Earth Science > Oceans > Ocean Chemistry > Chlorophyll, florida, img, img_x, img_y, local, median, ocean, ocean color, oceans, optical, optical properties, properties, rrs, Rrs_667_anom, Rrs_667_median, science, sea, seawater, source, south, university, usf, water";
    String keywords_vocabulary "GCMD Science Keywords";
    String Lat_Lon_Limits "18.0129N to 31N -98W to -78.5148W";
    String LatLon_Limits "18.0129N to 31N -98W to -78.5148W";
    String Level2_file_version "r2022.0.1";
    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 31.0;
    String Ocean_color_masks_based_on_L2_flags "LAND,CLDICE,HIGLINT";
    String Original_Image_Format "Level2(NetCDF)";
    String Original_Image_Source "NASA Ocean Biology Processing Group";
    String Processing_and_binning "USF IMaRS";
    String Projection "Equidistant Cylindrical";
    String Region "Gulf of Mexico (GOM)";
    String Sensor "MODIS-Aqua";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 18.01288;
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary "USF IMaRS MODIS GOM 7 Day Mean Ocean Color";
    String time_coverage_end "2024-09-08T00:00:00Z";
    String time_coverage_start "2002-07-08T00:00:00Z";
    String Time_interval "7-Day Composite (median)";
    String title "MODIS-Aqua Ocean Color 7-Day means for GOM";
    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.

(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.