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Dataset Title:  VIIRSN, Suomi-NPP, Level-3 SMI, Global, 4km, POC, 2012-2014, DEPRECATED OLDER
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Institution:  NASA/GSFC OBPG   (Dataset ID: erdVHpoc1day)
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.)
Then set the File Type: (File Type information)
or view the URL:
(Documentation / Bypass this form ? )
    Click on the map to specify a new center point. ?
[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 1.3255056e+9, 1.4178672e+9;
    String axis "T";
    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 -89.97916666666664, 89.97916666666667;
    String axis "Y";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  longitude {
    String _CoordinateAxisType "Lon";
    Float64 actual_range -179.97916666666666, 179.97916666666666;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  poc {
    Float32 _FillValue -32767.0;
    Float64 colorBarMaximum 100.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Ocean Color";
    String long_name "Particulate Organic Carbon";
    String units "mg m^-3";
    String cdm_data_type "Grid";
    String Conventions "CF-1.6, COARDS, ACDD-1.3";
    String creator_email "";
    String creator_name "NASA/GSFC OBPG";
    String creator_type "group";
    String creator_url "";
    Float64 Easternmost_Easting 179.97916666666666;
    Float64 geospatial_lat_max 89.97916666666667;
    Float64 geospatial_lat_min -89.97916666666664;
    Float64 geospatial_lat_resolution 0.041666666666666664;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 179.97916666666666;
    Float64 geospatial_lon_min -179.97916666666666;
    Float64 geospatial_lon_resolution 0.041666666666666664;
    String geospatial_lon_units "degrees_east";
    String history 
"Datafiles are downloaded ASAP from to NOAA NMFS SWFSC ERD.
NOAA NMFS SWFSC ERD ( uses NCML to add latitude and longitude variables and slightly modify the metadata.
Direct read of HDF4 file through CDM library.
    String infoUrl "";
    String institution "NASA/GSFC OBPG";
    String keywords "4km, carbon, chemistry, color, composite, concentration, daily, gsfc, image, joint, jpss, level, level-3, mapped, mass, mass_concentration_of_particulate_organic_carbon_in_sea_water, mean, nasa, noaa, npoess, npp, obpg, ocean, ocean color, oceans, orbiting, organic, particulate, poc, polar, satellite, sea, seawater, smi, standard, suomi, viirs, viirsn, water";
    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.";
    String Map_Projection "Equidistant Cylindrical";
    String naming_authority "gov.noaa.pfeg.coastwatch";
    Float64 Northernmost_Northing 89.97916666666667;
    String Processing_Version "2013.1.1QL";
    String Sensor_Name "VIIRSN";
    String Software_Name "smigen";
    String Software_Version "4.42";
    String sourceUrl "";
    Float64 Southernmost_Northing -89.97916666666664;
    String standard_name_vocabulary "CF Standard Name Table v29";
    String summary 
VIIRSN Level-3 Standard Mapped Image (SMI), Global, 4km, Particulate Organic Carbon (POC), Daily composite data from the Visible and Infrared Imager/Radiometer Suite (VIIRS). VIIRS is a multi-disciplinary instrument that flies on the Suomi-NPP (National Polar-orbiting Partnership) satellite.  Suomi-NPP is the initial spacecraft in the JPSS (Joint Polar Satellite Systems) series of spacecraft. JPSS is our Nation's next generation polar-orbiting operational environmental satellite system. JPSS is a collaborative program between NOAA and its acquisition agent NASA. VIIRS is the successor to MODIS for Earth science data product generation. THIS IS AN EXPERIMENTAL PRODUCT: intended strictly for scientific evaluation by professional marine scientists.";
    String time_coverage_end "2014-12-06T12:00:00Z";
    String time_coverage_start "2012-01-02T12:00:00Z";
    String title "VIIRSN, Suomi-NPP, Level-3 SMI, Global, 4km, POC, 2012-2014, DEPRECATED OLDER VERSION, Daily";
    Float64 Westernmost_Easting -179.97916666666666;


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.

ERDDAP, Version 1.82
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