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Dataset Title:  AQUARIUS L3 SSS RAINCORRECTED CAP MONTHLY V4 Subscribe RSS
Institution:  JPL   (Dataset ID: nasa_jpl_51a8_0952_c82b)
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Data Access Form
 
Graph Type:  ?
X Axis:  ?
Y Axis:  ?
Color:  ?
 
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time (UTC) ?     specify just 1 value →
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longitude (degrees_east) ?
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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 1.3148352e+9, 1.4304384e+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";
    Float64 actual_range -89.5, 89.5;
    String axis "Y";
    String comment "midpoint of interval on uniform grid from -90 to 90 in 1 degree latitude increments";
    String ioos_category "Location";
    String long_name "Latitude";
    String point_spacing "1deg";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float64 actual_range 0.0, 359.0;
    String axis "X";
    String comment "midpoint of interval on uniform grid from -180 to 180 in 1 degree longitude increments";
    String ioos_category "Location";
    String long_name "Longitude";
    String point_spacing "1deg";
    String standard_name "longitude";
    String units "degrees_east";
  }
  sss_cap {
    Float32 _FillValue -9999.0;
    Float64 colorBarMaximum 37.0;
    Float64 colorBarMinimum 32.0;
    String comment "level-3 analysed sea surface salinity values obtained from the Combined Active Passive -CAP- algorithm with Rain Correction. Cell values are means for the temporal interval & 1degree spatial grid";
    String grid_mapping "Equirectangular";
    String ioos_category "Meteorology";
    String long_name "Sea_Surface_Salinity_Rain_Corrected";
    String standard_name "sea_surface_salinity_rain_corrected";
    String units "psu";
    Float32 valid_max 50.0;
    Float32 valid_min 0.0;
  }
  ice_frac {
    Float32 _FillValue -9999.0;
    Float64 colorBarMaximum 1.0;
    Float64 colorBarMinimum 0.0;
    String comment "level-3 analysed ice fraction values obtained from the L2 data. Cell values are means for the temporal interval & 1degree spatial grid";
    String grid_mapping "Equirectangular";
    String ioos_category "Ice Distribution";
    String long_name "Sea_Ice_Area_Fraction";
    String standard_name "sea_ice_area_fraction";
    Float32 valid_max 1.0;
    Float32 valid_min 0.0;
  }
  NC_GLOBAL {
    String Binning_Method "Gaussian";
    String cdm_data_type "Grid";
    String contributor_name "Wenqing Tang, Alex Fore, Akiko Hayashi";
    String contributor_role "Aquarius-CAP algorithm geophysical model functions, CAP algorithm operational setup and L2 processing, L3 algorithm implementation, processing and data staging";
    String Conventions "CF-1.6, COARDS, ACDD-1.3";
    String creator_email "Simon.H.Yueh@jpl.nasa.gov";
    String creator_name "Simon H. Yueh";
    String creator_url "https://science.jpl.nasa.gov/COSE/index.cfm";
    String Data_Type "1x1 Deg Gridded Bin Averaged Maps";
    String date_created "2015-08-25T12:30:31Z";
    String date_issued "2015-08-25T12:30:31Z";
    Float64 Easternmost_Easting 359.0;
    Float64 geospatial_lat_max 89.5;
    Float64 geospatial_lat_min -89.5;
    Float64 geospatial_lat_resolution 1.0;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 359.0;
    Float64 geospatial_lon_min 0.0;
    Float64 geospatial_lon_resolution 1.0;
    String geospatial_lon_units "degrees_east";
    String Half_Power_Point_KM "75.0000";
    String history 
"DATA_SOURCE_VERSION 4.0
2018-07-19T08:13:32Z https://thredds.jpl.nasa.gov/thredds/dodsC/ncml_aggregation/SalinityDensity/aquarius/aggregate__AQUARIUS_L3_SSS_RAINCORRECTED_CAP_MONTHLY_V4.ncml
2018-07-19T08:13:32Z http://upwell.pfeg.noaa.gov/griddap/nasa_jpl_51a8_0952_c82b.das";
    String infoUrl "https://podaac.jpl.nasa.gov/dataset/AQUARIUS_L3_SSS_RAINCORRECTED_CAP_MONTHLY_V4";
    String institution "JPL";
    String keywords "1x1, aquarius, aquarius radiometer, aquarius sac-d, aquarius scatterometer, area, averaged, cap, corrected, cryosphere, data, distribution, Earth Science > Cryosphere > Sea Ice > Ice Extent, Earth Science > Oceans > Sea Ice > Ice Extent, extent, fraction, gridded, https://aquarius.nasa.gov/, ice, ice distribution, ice_frac, jet, jet propulsion laboratory, jpl, L3, laboratory, maps, meteorology, month, monthly, nasa, ocean, oceans, precipitation, propulsion, rain, raincorrected, rainfall, salinity, sea, sea_ice_area_fraction, sea_surface_salinity_rain_corrected, sss, sss_cap, surface, surface salinity, time";
    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.";
    Float64 Northernmost_Northing 89.5;
    String platform "Aquarius/SAC-D";
    String processing_level "3";
    String product_version "4.0";
    String project "Aquarius";
    String publisher_email "Simon.H.Yueh@jpl.nasa.gov";
    String publisher_name "Simon H. Yueh";
    String publisher_url "https://science.jpl.nasa.gov/COSE/index.cfm";
    String sensor "Aquarius";
    String sourceUrl "https://thredds.jpl.nasa.gov/thredds/dodsC/ncml_aggregation/SalinityDensity/aquarius/aggregate__AQUARIUS_L3_SSS_RAINCORRECTED_CAP_MONTHLY_V4.ncml";
    Float64 Southernmost_Northing -89.5;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String summary "Aquarius CAP 1x1 Deg Gridded Averaged Maps. Version 4.0 Aquarius CAP Level 3 products contain mapped Aquarius sea surface salinity or wind speed data based on the Combined Active Passive (CAP) algorithm. CAP is a P.I. produced data set developed and provided by the Jet Propulsion Laboratory (JPL) Climate Oceans and Solid Earth section.  (For further details see https://podaac.jpl.nasa.gov/dataset/AQUARIUS_L3_SSS_RAINCORRECTED_CAP_MONTHLY_V4 )";
    String time_coverage_end "2015-05-01T00:00:00Z";
    String time_coverage_start "2011-09-01T00:00:00Z";
    String title "AQUARIUS L3 SSS RAINCORRECTED CAP MONTHLY V4";
    Float64 Westernmost_Easting 0.0;
  }
}

 

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.

griddap request URLs must be in the form
https://upwell.pfeg.noaa.gov/erddap/griddap/datasetID.fileType{?query}
For example,
https://upwell.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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