Make A Graph

Dataset Title:	X-Experimental POC from NOAA S-NPP VIIRS Source Data
Institution:	STAR (Dataset ID: noaa_snpp_poc)
Information:	Summary \| License \| FGDC \| ISO 19115 \| Metadata \| Background \| Data Access Form \| Files

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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 1.3570704e+9, 1.6409808e+9;
    String axis "T";
    String calendar "gregorian";
    String ioos_category "Time";
    String long_name "Centered 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 -89.75625, 89.75625;
    String axis "Y";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
    Float64 valid_max 90.0;
    Float64 valid_min -90.0;
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float64 actual_range -179.98125, 179.98125;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
    Float64 valid_max 180.0;
    Float64 valid_min -180.0;
  }
  poc {
    Float32 _FillValue -999.0;
    Float32 colorBarMaximum 5000.0;
    Float32 colorBarMinimum 5.0;
    String colorBarScale "Log";
    String grid_mapping "coord_ref";
    String ioos_category "Other";
    String long_name "Particulate Organic Carbon, D. Stramski, 2022";
    String standard_name "mass_concentration_of_particulate_organic_carbon_in_sea_water";
    String units "mg m^-3";
  }
  Rrs_443 {
    Float32 _FillValue -999.0;
    Float64 colorBarMaximum 0.02;
    Float64 colorBarMinimum 0.0;
    String grid_mapping "coord_ref";
    String ioos_category "Other";
    String long_name "Remote Sensing Reflectance at 443 nm";
    Float32 solar_irradiance 190.2609;
    String solar_irradiance_units "mW cm^-2 um^-1";
    String standard_name "surface_ratio_of_upwelling_radiance_emerging_from_sea_water_to_downwelling_radiative_flux_in_air";
    String units "sr^-1";
  }
  Rrs_486 {
    Float32 _FillValue -999.0;
    Float64 colorBarMaximum 0.02;
    Float64 colorBarMinimum 0.0;
    String grid_mapping "coord_ref";
    String ioos_category "Other";
    String long_name "Remote Sensing Reflectance at 486 nm";
    Float32 solar_irradiance 198.8655;
    String solar_irradiance_units "mW cm^-2 um^-1";
    String standard_name "surface_ratio_of_upwelling_radiance_emerging_from_sea_water_to_downwelling_radiative_flux_in_air";
    String units "sr^-1";
  }
  Rrs_551 {
    Float32 _FillValue -999.0;
    Float64 colorBarMaximum 0.02;
    Float64 colorBarMinimum 0.0;
    String grid_mapping "coord_ref";
    String ioos_category "Other";
    String long_name "Remote Sensing Reflectance at 551 nm";
    Float32 solar_irradiance 184.2347;
    String solar_irradiance_units "mW cm^-2 um^-1";
    String standard_name "surface_ratio_of_upwelling_radiance_emerging_from_sea_water_to_downwelling_radiative_flux_in_air";
    String units "W m^-2 um^-1 sr^-1";
  }
  Rrs_510v {
    Float32 _FillValue -999.0;
    Float64 colorBarMaximum 0.02;
    Float64 colorBarMinimum 0.0;
    String grid_mapping "coord_ref";
    String ioos_category "Other";
    String long_name "Virtual Remote Sensing Reflectance at 510 nm";
    Float32 solar_irradiance 184.2347;
    String solar_irradiance_units "mW cm^-2 um^-1";
    String standard_name "surface_ratio_of_upwelling_radiance_emerging_from_sea_water_to_downwelling_radiative_flux_in_air";
    String units "W m^-2 um^-1 sr^-1";
  }
  NC_GLOBAL {
    String _NCProperties "version=2,netcdf=4.7.3,hdf5=1.12.0,";
    String cdm_data_type "Grid";
    String Conventions "CF-1.6 ACDD-1.3, COARDS";
    String creator_email "coastwatch.info@noaa.gov";
    String creator_name "NOAA CoastWatch West Coast";
    String creator_type "institution";
    String creator_url "https://coastwatch.noaa.gov";
    Float64 Easternmost_Easting 179.98125;
    Float64 geospatial_lat_max 89.75625;
    Float64 geospatial_lat_min -89.75625;
    Float64 geospatial_lat_resolution 0.0375;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 179.98125;
    Float64 geospatial_lon_min -179.98125;
    Float64 geospatial_lon_resolution 0.0375;
    String geospatial_lon_units "degrees_east";
    String history 
"Daily L3 global fields of Rrs_443, Rrs_490, and 'Rrs_510' from NOAA VIIRS SNPP were applied to the VIIRS POC algorithm of Stramski et at, 2022.
2024-09-07T12:21:41Z (local files)
2024-09-07T12:21:41Z https://polarwatch.noaa.gov/griddap/noaa_snpp_poc.das";
    String id "L3/2km/infile_2km_G.nc";
    String infoUrl "https://coastwatch.noaa.gov";
    String institution "STAR";
    String instrument "VIIRS";
    String keywords "air, atmosphere, atmospheric, carbon, coast, coastwatch, color, concentration, data, deviation, downwelling, earth, Earth Science > Atmosphere > Atmospheric Radiation > Radiative Flux, Earth Science > Oceans > Ocean Optics > Radiance, emerging, experimental, field, field-of-view, flux, image, imager, imager/radiometer, imaging, infrared, latitude, level, level-3, longitude, mapped, mass, mass_concentration_of_particulate_organic_carbon_in_sea_water, national, noaa, node, npp, number, observations, ocean, ocean color, oceans, optics, orbiting, organic, particulate, partnership, poc, polar, polar-orbiting, radiance, radiation, radiative, radiometer, ratio, reflectance, remote, Rrs_443, Rrs_486, Rrs_510v, Rrs_551, s-npp, science, sea, sea-wide, seawater, seawifs, sensing, sensor, smi, source, standard, star, stramski, suite, surface, surface_ratio_of_upwelling_radiance_emerging_from_sea_water_to_downwelling_radiative_flux_in_air, time, upwelling, view, viirs, virtual, visible, water, wide, x-experimental";
    String keywords_vocabulary "GCMD Science Keywords";
    String license "These data may be redistributed and used without restriction.";
    String map_projection "geographic";
    String naming_authority "gov.noaa.coastwatch";
    Float64 Northernmost_Northing 89.75625;
    String platform "Suomi-NPP";
    String processing_level "L3 Mapped";
    String proj4_string "+proj=eqc +lat_ts=0 +lat_0=0 +x_0=0 +y_0=0 +ellps=WGS84 +datum=WGS84 +units=m +no_defs +lon_0=0.000000";
    String project "POC from NOAA VIIRS nLw";
    String publisher_email "coastwatch.info@noaa.gov";
    String publisher_name "NOAA CoastWatch";
    String publisher_type "institution";
    String publisher_url "https://coastwatch.noaa.gov";
    String references "Stramski, D., et al. Ocean color algorithms to estimate the concentration of particulate organic carbon in surface waters of the global ocean in support of a long-term data record from multiple satellite missions. Remote Sensing of Environment Vol. 269 (2022). https://doi.org/10.1016/j.rse.2021.112776.";
    String Satellite "Suomi-NPP";
    String Sensor "VIIRS";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing -89.75625;
    String spatialResolution "4.17 km";
    String standard_name_vocabulary "CF Standard Name Table v36";
    String summary "Particulate Organic Carbon in Ocean Surface Water, Sea-Wide Field-of-View Sensor (SeaWiFS), 9km, NASA Standard Mapped Image (SMI), Stramski 2022";
    String time_coverage_end "2021-12-31T20:00:00Z";
    String time_coverage_start "2013-01-01T20:00:00Z";
    String title "X-Experimental POC from NOAA S-NPP VIIRS Source Data";
    Float64 Westernmost_Easting -179.98125;
  }
}

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.