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Dataset Title:  Kd490, SeaWIFS - Monthly, 1997-2010. v.2018.0 Subscribe RSS
Institution:  NASA/GSFC OBPG   (Dataset ID: sw_kd490_monthly_2018_0)
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:   
 
(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:
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    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 8.744112e+8, 1.2925008e+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 -89.95834, 89.95834;
    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 0.04166667, 359.9583;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
    Float32 valid_max 360.0;
    Float32 valid_min 0.0;
  }
  Kd_490 {
    Float32 _FillValue NaN;
    Float64 colorBarMaximum 5.0;
    Float64 colorBarMinimum 0.01;
    String colorBarScale "Log";
    String ioos_category "Heat Flux";
    String long_name "Diffuse attenuation coefficient at 490 nm, KD2 algorithm";
    String standard_name "diffuse_attenuation_coefficient_of_downwelling_radiative_flux_in_sea_water";
    String units "m-1";
    Float32 valid_max 6.0;
    Float32 valid_min 0.01;
  }
  NC_GLOBAL {
    String _lastModified "2018-01-31T04:58:09.000Z";
    String _NCProperties "version=1|netcdflibversion=4.4.1.1|hdf5libversion=1.8.18";
    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 "2018-01-31T04:59:29Z";
    Float64 Easternmost_Easting 359.9583;
    Float64 geospatial_lat_max 89.95834;
    Float64 geospatial_lat_min -89.95834;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 359.9583;
    Float64 geospatial_lon_min 0.04166667;
    String geospatial_lon_units "degrees_east";
    String grid_mapping_name "latitude_longitude";
    String history 
"Fri May 31 16:07:50 2019: ncatted -O -a sw_point_longitude,global,o,f,0.04166667 S19972441997273.L3m_MO_KD490_Kd_490_9km-0-360.nc
Fri May 31 16:07:50 2019: ncatted -O -a geospatial_lon_min,global,o,f,0.0 S19972441997273.L3m_MO_KD490_Kd_490_9km-0-360.nc
Fri May 31 16:07:50 2019: ncatted -O -a geospatial_lon_max,global,o,f,360.0 S19972441997273.L3m_MO_KD490_Kd_490_9km-0-360.nc
Fri May 31 16:07:50 2019: ncatted -O -a easternmost_longitude,global,o,f,360.0 S19972441997273.L3m_MO_KD490_Kd_490_9km-0-360.nc
Fri May 31 16:07:50 2019: ncatted -O -a westernmost_longitude,global,o,f,0.0 S19972441997273.L3m_MO_KD490_Kd_490_9km-0-360.nc
Fri May 31 16:07:49 2019: ncatted -O -a valid_max,lon,o,f,360.0 S19972441997273.L3m_MO_KD490_Kd_490_9km-0-360.nc
Fri May 31 16:07:49 2019: ncatted -O -a valid_min,lon,o,f,0.0 S19972441997273.L3m_MO_KD490_Kd_490_9km-0-360.nc
Fri May 31 16:07:49 2019: ncap2 -O -s where(lon<0) lon=lon+360 S19972441997273.L3m_MO_KD490_Kd_490_9km-0-360.nc S19972441997273.L3m_MO_KD490_Kd_490_9km-0-360.nc
Fri May 31 16:07:48 2019: ncks -O --msa_usr_rdr -d lon,0.0,180.0 -d lon,-180.0,0.0 S19972441997273.L3m_MO_KD490_Kd_490_9km.nc S19972441997273.L3m_MO_KD490_Kd_490_9km-0-360.nc
l3mapgen par=S19972441997273.L3m_MO_KD490_Kd_490_9km.nc.param 
2023-03-20T23:10:58Z (local files)
2023-03-20T23:10:58Z https://oceanwatch.pifsc.noaa.gov/griddap/sw_kd490_monthly_2018_0.das";
    String id "S19972441997273.L3b_MO_KD490.nc/L3/S19972441997273.L3b_MO_KD490.nc";
    String identifier_product_doi "10.5067/ORBVIEW-2/SEAWIFS/L3M/KD490/2018";
    String identifier_product_doi_authority "https://dx.doi.org";
    String infoUrl "https://oceandata.sci.gsfc.nasa.gov";
    String institution "NASA/GSFC OBPG";
    String instrument "SeaWiFS";
    String keywords "algorithm, attenuation, biology, center, coefficient, color, data, diffuse, diffuse_attenuation_coefficient_of_downwelling_radiative_flux_in_sea_water, downwelling, field, field-of-view, flight, flux, goddard, group, gsfc, heat, heat flux, image, kd2, Kd_490, L3, level, level-3, mapped, nasa, obpg, ocean, palette, processing, radiative, sea, sea-wide, seawater, seawifs, sensor, smi, space, standard, view, water, wide";
    String l2_flag_names "ATMFAIL,LAND,HILT,HISATZEN,STRAYLIGHT,CLDICE,COCCOLITH,LOWLW,CHLWARN,CHLFAIL,NAVWARN,MAXAERITER,ATMWARN,HISOLZEN,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";
    String NCO "4.3.7";
    Int32 nco_openmp_thread_number 1;
    Float64 Northernmost_Northing 89.95834;
    String platform "Orbview-2";
    String processing_level "L3 Mapped";
    String processing_version "2018.0";
    String product_name "S19972441997273.L3m_MO_KD490_Kd_490_9km.nc";
    String project "Ocean Biology Processing Group (NASA/GSFC/OBPG)";
    String publisher_email "data@oceancolor.gsfc.nasa.gov";
    String publisher_name "NASA/GSFC/OBPG";
    String publisher_type "group";
    String publisher_url "https://oceandata.sci.gsfc.nasa.gov";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing -89.95834;
    String spatialResolution "9.28 km";
    String standard_name_vocabulary "CF Standard Name Table v36";
    String summary "Sea-Wide Field-of-View Sensor (SeaWiFS) - Monthly Ocean Color. Diffuse attenuation coefficient at 490 nm, KD2 algorithm. 1997 - 2010. spatial resolution = 9.28km";
    String temporal_range "26-day";
    String time_coverage_end "2010-12-16T12:00:00Z";
    String time_coverage_start "1997-09-16T12:00:00Z";
    String title "Kd490, SeaWIFS - Monthly, 1997-2010. v.2018.0";
    Float64 Westernmost_Easting 0.04166667;
  }
}

 

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[(2015-06-09T09:00:00Z)][(-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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