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Dataset Title:  AMSR2 3day Global Subscribe RSS
Institution:  INCOIS   (Dataset ID: AMSR2_3day_Global)
Information:  Summary ? | License ? | 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 -2.1762432e+9, -1.7813952e+9;
    String axis "T";
    String ioos_category "Time";
    String long_name "TAXIS";
    String source_name "TAXIS";
    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";
    Int16 actual_range 0, 719;
    String axis "Y";
    String ioos_category "Location";
    String long_name "Latitude";
    String source_name "YAXIS";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Int16 actual_range 0, 1439;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String source_name "XAXIS";
    String standard_name "longitude";
    String units "degrees_east";
  }
  SST {
    UInt32 _ChunkSizes 1, 720, 1440;
    Float32 _FillValue -999.0;
    Float64 colorBarMaximum 32.0;
    Float64 colorBarMinimum 0.0;
    String coverage_content_type "physicalMeasurement";
    String ioos_category "Temperature";
    String long_name "AMSR2 sea surface temperature";
    Float32 missing_value -999.0;
    String resolution "spatial resolution of retrieval is approx. 46km";
    String standard_name "sea_surface_temperature";
    String units "degree_C";
  }
  WSPD_LF {
    Float64 colorBarMaximum 15.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Wind";
    String standard_name "wind_speed";
  }
  WSPD_MF {
    Float64 colorBarMaximum 15.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Wind";
    String standard_name "wind_speed";
  }
  VAPOR {
    String ioos_category "Meteorology";
  }
  CLOUD {
    String ioos_category "Meteorology";
  }
  RAIN {
    String ioos_category "Meteorology";
  }
  NC_GLOBAL {
    String _NCProperties "version=2,netcdf=4.8.1,hdf5=1.12.1";
    String acknowledgement "AMSR2 AS-ECVs are produced by Remote Sensing Systems and sponsored by NASA. We are grateful to JAXA for AMSR2 source data.";
    String averaging_procedure "observations averaged over specified time_coverage_duration";
    String CDI "Climate Data Interface version 1.9.6 (https://code.mpimet.mpg.de/projects/cdi)";
    String cdm_data_type "Grid";
    String CDO "Climate Data Operators version 1.9.6 (https://code.mpimet.mpg.de/projects/cdo)";
    String Conventions "CF-1.6, COARDS, ACDD-1.3";
    String creator_email "support@remss.com";
    String creator_name "Frank Wentz, Thomas Meissner, Lucrezia Ricciardulli, Andrew Manaster, Marty Brewer, Michael Densberger, Remote Sensing Systems";
    String creator_url "http://www.remss.com";
    String dataset_citation_authors "Wentz, F., T. Meissner, L. Ricciardulli, A. Manaster, M. Brewer, M. Densberger";
    String dataset_citation_institution "Remote Sensing Systems, Santa Rosa, CA, USA";
    String dataset_citation_product "Remote Sensing Systems AMSR2 V8.2 Air-Sea Essential Climate Variables (AS-ECV) on 0.25 deg grid";
    String dataset_citation_url "http://www.remss.com/missions/amsr/";
    String dataset_citation_version "8.2";
    String dataset_citation_year "2021";
    String date_created "2021-05-12T05:17:38Z";
    String date_def "starting midnight UTC";
    Float64 Easternmost_Easting 1439.0;
    Float64 geospatial_lat_max 719.0;
    Float64 geospatial_lat_min 0.0;
    Float64 geospatial_lat_resolution 1.0;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 1439.0;
    Float64 geospatial_lon_min 0.0;
    Float64 geospatial_lon_resolution 1.0;
    String geospatial_lon_units "degrees_east";
    String history 
"Mon May 22 10:09:49 2023: cdo cat RSS_AMSR2_ocean_L3_3day_2012-07-02_v08.2.nc NOAA_SST.nc
Mon May 22 10:09:48 2023: cdo setcalendar,GREGORIAN out.nc out1.nc
Mon May 22 10:09:48 2023: cdo settaxis,2012-07-02,12:00:00,1day RSS_AMSR2_ocean_L3_3day_2012-07-02_v08.2.nc out.nc
created by RSS
2025-01-16T12:49:48Z (local files)
2025-01-16T12:49:48Z https://erddap.incois.gov.in/griddap/AMSR2_3day_Global.das";
    String infoUrl "???";
    String institution "INCOIS";
    String instrument "AMSR2 radiometer";
    String keywords "atmosphere, atmospheric, channel, cloud, cloud cover, cloudiness, columnar, cover, data, earth, Earth Science > Atmosphere > Atmospheric Winds > Surface Winds, Earth Science > Oceans > Ocean Temperature > Sea Surface Temperature, ghz, liquid, local, meteorology, ocean, oceans, precipitation, rain, rainfall, rate, science, sea, sea_surface_temperature, seawater, source, speed, SST, surface, TAXIS, temperature, using, vapor, water, wind, wind_speed, winds, WSPD_LF, WSPD_MF, XAXIS, YAXIS";
    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 netCDF_version_id "4";
    Float64 Northernmost_Northing 719.0;
    String platform "GCOM-W1";
    String processing_level "Level 3: 3 day maps";
    String project "Air-Sea Essential Climate Variables (AS-ECV) from Satellite Microwave Radiometers";
    String publisher_email "support@remss.com";
    String publisher_name "Remote Sensing Systems";
    String publisher_url "http://www.remss.com";
    String references "Source_of_AMSR2_radiometer_observations: JAXA AMSR2 L1A via JAXA G-Portal.";
    String sensor "AMSR2";
    String source "RSS AMSR2 V8.2 AS-ECV Algorithms";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 0.0;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String summary "AMSR2 3day Global";
    String testOutOfDate "now-8days";
    String time_coverage_duration "P3D";
    String time_coverage_end "1913-07-21T00:00:00Z";
    String time_coverage_start "1901-01-15T00:00:00Z";
    String title "AMSR2 3day Global";
    String version "8.2";
    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://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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