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ERDDAP > griddap > Make A Graph ?

Dataset Title:  Photosynthetically Available Radiation, Aqua MODIS, NPP, L3SMI, Global, 4km,
R2022 NRT, 2003-present (8 Day Composite)
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Institution:  NASA/GSFC OBPG   (Dataset ID: erdMH1par08day_R2022NRT)
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Data Access Form | Files
 
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:   
 
(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 1.6461792e+9, 1.66968e+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";
    Float32 _FillValue NaN;
    Float32 actual_range -89.97917, 89.97916;
    String axis "Y";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
    Float32 valid_max 90.0;
    Float32 valid_min -90.0;
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 _FillValue NaN;
    Float32 actual_range -179.9792, 179.9792;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
    Float32 valid_max 180.0;
    Float32 valid_min -180.0;
  }
  par {
    Float32 _FillValue NaN;
    Float64 colorBarMaximum 70.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Optical Properties";
    String long_name "Photosynthetically Available Radiation, R. Frouin";
    String references "Frouin, R., Ligner, D.W., and Gautier, C., 1989: A Simple analytical formula to compute clear sky total and photosynthetically available solar irradiance at the ocean surface. J. Geophys. Res., 94, 9731-9742.";
    String standard_name "surface_downwelling_photosynthetic_photon_flux_in_air";
    String units "einstein m-2 day-1";
    Float32 valid_max 130.0;
    Float32 valid_min 0.0;
  }
  NC_GLOBAL {
    String _lastModified "2022-11-25T06:06:05.000Z";
    String cdm_data_type "Grid";
    String Conventions "CF-1.6 ACDD-1.3, COARDS";
    String creator_email "data@oceancolor.gsfc.nasa.gov";
    String creator_name "NASA/GSFC/OBPG";
    String creator_type "group";
    String creator_url "https://oceandata.sci.gsfc.nasa.gov";
    String date_created "2022-11-25T06:06:05.000Z";
    Float64 Easternmost_Easting 179.9792;
    Float64 geospatial_lat_max 89.97916;
    Float64 geospatial_lat_min -89.97917;
    Float64 geospatial_lat_resolution 0.04166666589488307;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 179.9792;
    Float64 geospatial_lon_min -179.9792;
    Float64 geospatial_lon_resolution 0.041666674383609215;
    String geospatial_lon_units "degrees_east";
    String history 
"Files downloaded daily from https://oceandata.sci.gsfc.nasa.gov/directdataaccess/Level-3%20Mapped/Aqua-MODIS to NOAA SWFSC ERD (erd.data@noaa.gov) ERDDAP adds the time dimension
2022-12-07T02:37:44Z (local files)
2022-12-07T02:37:44Z http://coastwatch.pfeg.noaa.gov/griddap/erdMH1par08day_R2022NRT.das";
    String id "R2022.0/L3/AQUA_MODIS.20221117_20221124.L3b.8D.PAR.NRT.nc";
    String identifier_product_doi "10.5067/AQUA/MODIS/L3M/PAR/2022";
    String identifier_product_doi_authority "https://dx.doi.org";
    String infoUrl "https://oceandata.sci.gsfc.nasa.gov";
    String institution "NASA/GSFC OBPG";
    String instrument "MODIS";
    String keywords "active, air, aqua, available, biology, biosphere, center, color, data, downwelling, earth, Earth Science > Biosphere > Vegetation > Photosynthetically Active Radiation, Earth Science > Oceans > Ocean Optics > Photosynthetically Available Radiation, flight, flux, frouin, goddard, group, gsfc, image, imaging, L3, level, level-3, mapped, moderate, modis, modisa, nasa, obpg, ocean, oceans, optical, optical properties, optics, par, photon, photosynthetic, photosynthetically, processing, properties, radiation, resolution, science, smi, space, spectroradiometer, standard, surface, surface_downwelling_photosynthetic_photon_flux_in_air, vegetation";
    String keywords_vocabulary "GCMD Science Keywords";
    String l2_flag_names "LAND,NAVFAIL,FILTER,HIGLINT";
    String license "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy/";
    String map_projection "Equidistant Cylindrical";
    String measure "Mean";
    String naming_authority "gov.nasa.gsfc.sci.oceandata";
    Float64 Northernmost_Northing 89.97916;
    String platform "Aqua";
    String processing_level "L3 Mapped";
    String processing_version "R2022.0";
    String product_name "AQUA_MODIS.20221117_20221124.L3m.8D.PAR.par.4km.NRT.nc";
    String project "Ocean Biology Processing Group (NASA/GSFC/OBPG)";
    String publisher_email "erd.data@noaa.gov";
    String publisher_name "NOAA NMFS SWFSC ERD";
    String publisher_type "institution";
    String publisher_url "https://www.pfeg.noaa.gov";
    String source "satellite observations from MODIS-Aqua";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing -89.97917;
    String spatialResolution "4.638312 km";
    String standard_name_vocabulary "CF Standard Name Table v36";
    String summary "Moderate Resolution Imaging Spectroradiometer on Aqua (MODISA) Level-3 Standard Mapped Image";
    String temporal_range "8-day";
    String time_coverage_end "2022-11-29T00:00:00Z";
    String time_coverage_start "2022-03-02T00:00:00Z";
    String title "Photosynthetically Available Radiation, Aqua MODIS, NPP, L3SMI, Global, 4km, R2022 NRT, 2003-present (8 Day Composite)";
    Float64 Westernmost_Easting -179.9792;
  }
}

 

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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