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Dataset Title:  Ice Concentration, Daily, GCOM-W1 AMSR2, Arctic, 10km, NRT, Past 3 Weeks Subscribe RSS
Institution:  DOC/NOAA/NESDIS/OSPO > Office of Satellite and Product Operations, NESDIS, NOAA   (Dataset ID: noaacwAMSR2gw1IceConcDailyNP06)
Information:  Summary ? | License ? | Metadata | Background (external link) | Data Access Form
 
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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 1.6189465785e+9, 1.731502999e+9;
    String axis "T";
    String calendar "gregorian";
    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";
  }
  altitude {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "up";
    Float64 actual_range 0.0, 0.0;
    String axis "Z";
    String ioos_category "Location";
    String long_name "Altitude";
    String positive "up";
    String standard_name "altitude";
    String units "m";
  }
  rows {
    Float64 actual_range -8829468.75, 8829468.75;
    String axis "Y";
    String ioos_category "Location";
    String long_name "Northing of Pixel Centers";
    String standard_name "projection_y_coordinate";
    String units "m";
  }
  cols {
    Float64 actual_range -8829468.75, 8829468.75;
    String axis "X";
    String ioos_category "Location";
    String long_name "Easting of Pixel Centers";
    String standard_name "projection_x_coordinate";
    String units "m";
  }
  IceConc {
    Float64 _FillValue -99.99000000000001;
    Float64 colorBarMaximum 1.0;
    Float64 colorBarMinimum 0.0;
    Int32 cw_fraction_digits 9;
    String ioos_category "Ice Distribution";
    String long_name "NASA Team 2 Ice Concentration (Fraction) - primary product";
    Float64 missing_value -99.99000000000001;
    String source "Converted on ingest from NetCDF array NASA_Team_2_Ice_Concentration";
    String units "1";
  }
  Flags {
    Int16 _FillValue -9999;
    Float64 colorBarMaximum 150.0;
    Float64 colorBarMinimum 0.0;
    Int32 cw_fraction_digits 1;
    String ioos_category "Quality";
    String long_name "Quality Flags";
    Int16 missing_value -9999;
    String units "1";
  }
  graphics {
    Byte _FillValue 0;
    String _Unsigned "true";
    Float64 colorBarMaximum 20.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Optical Properties";
    String long_name "graphics overlay planes";
    Byte missing_value 0;
  }
  NC_GLOBAL {
    String cdm_data_type "Grid";
    String Conventions "CF-1.6, COARDS, ACDD-1.3";
    String creator_email "espcoperations@noaa.gov";
    String creator_name "DOC/NOAA/NESDIS/STAR > IOSSPDT Algorithm Team, Center for Satellite   Applications and Research, NESDIS, NOAA, U.S. Department of Commerce";
    String creator_type "group";
    String creator_url "http://www.star.nesdis.noaa.gov";
    String crs_wkt "PROJCS[\"WGS 84 / NSIDC Sea Ice Polar Stereographic North\",GEOGCS[\"WGS 84\",DATUM[\"WGS_1984\",SPHEROID[\"WGS 84\",6378137,298.257223563,AUTHORITY[\"EPSG\",\"7030\"]],AUTHORITY[\"EPSG\",\"6326\"]],PRIMEM[\"Greenwich\",0,AUTHORITY[\"EPSG\",\"8901\"]],UNIT[\"degree\",0.0174532925199433,AUTHORITY[\"EPSG\",\"9122\"]],AUTHORITY[\"EPSG\",\"4326\"]],PROJECTION[\"Polar_Stereographic\"],PARAMETER[\"latitude_of_origin\",70],PARAMETER[\"central_meridian\",-45],PARAMETER[\"scale_factor\",1],PARAMETER[\"false_easting\",0],PARAMETER[\"false_northing\",0],UNIT[\"metre\",1,AUTHORITY[\"EPSG\",\"9001\"]],AXIS[\"X\",EAST],AXIS[\"Y\",NORTH],AUTHORITY[\"EPSG\",\"3413\"]]";
    String cw_pass_type "day/night";
    Float64 cw_polygon_latitude -0.7268623651938858, 12.72124299521146, 18.906729375857534, 12.72124299521146, -0.7268623651938858, 12.72124299521146, 18.906729375857534, 12.72124299521146, -0.7268623651938858, 12.72124299521146, 18.906729375857534, 12.72124299521146, -0.7268623651938858, 12.72124299521146, 18.906729375857534, 12.72124299521146, -0.7268623651938858;
    Float64 cw_polygon_longitude -180.0, 161.565051177078, 135.0, 108.43494882292201, 90.0, 71.56505117707799, 45.0, 18.434948822922006, 0.0, -18.43494882292201, -45.0, -71.56505117707799, -90.0, -108.43494882292201, -135.0, -161.565051177078, -180.0;
    String cw_projection "Polar Stereographic";
    String cw_satellite "GCOM-W1";
    String cw_sensor "AMSR2";
    String date_created "2021-05-26T04:35:53Z";
    String defaultGraphQuery "IceConc%5Blatest%5D%5B(0.0)%5D%5B(5301656.25):(-5301656.25)%5D%5B(-5301656.25):(5301656.25)%5D&.draw=surface&.vars=cols%7Crows%7CIceConc&.colorBar=KT_ice%7C%7C%7C%7C%7C&.bgColor=0xffccccff";
    String geospatial_bounds "POLYGON((-180.0 -0.726862,161.565051 12.721243,135.0 18.906729,108.434949 12.721243,90.0 -0.726862,71.565051 12.721243,45.0 18.906729,18.434949 12.721243,0.0 -0.726862,-18.434949 12.721243,-45.0 18.906729,-71.565051 12.721243,-90.0 -0.726862,-108.434949 12.721243,-135.0 18.906729,-161.565051 12.721243,-180.0 -0.726862))";
    Float64 geospatial_vertical_max 0.0;
    Float64 geospatial_vertical_min 0.0;
    String geospatial_vertical_positive "up";
    String geospatial_vertical_units "m";
    String grid_mapping_crs_wkt "PROJCS[\"WGS 84 / NSIDC Sea Ice Polar Stereographic North\",GEOGCS[\"WGS 84\",DATUM[\"WGS_1984\",SPHEROID[\"WGS 84\",6378137,298.257223563,AUTHORITY[\"EPSG\",\"7030\"]],AUTHORITY[\"EPSG\",\"6326\"]],PRIMEM[\"Greenwich\",0,AUTHORITY[\"EPSG\",\"8901\"]],UNIT[\"degree\",0.0174532925199433,AUTHORITY[\"EPSG\",\"9122\"]],AUTHORITY[\"EPSG\",\"4326\"]],PROJECTION[\"Polar_Stereographic\"],PARAMETER[\"latitude_of_origin\",70],PARAMETER[\"central_meridian\",-45],PARAMETER[\"scale_factor\",1],PARAMETER[\"false_easting\",0],PARAMETER[\"false_northing\",0],UNIT[\"metre\",1,AUTHORITY[\"EPSG\",\"9001\"]],AXIS[\"X\",EAST],AXIS[\"Y\",NORTH],AUTHORITY[\"EPSG\",\"3413\"]]";
    Float64 grid_mapping_false_easting 0.0;
    Float64 grid_mapping_false_northing 0.0;
    Float64 grid_mapping_inverse_flattening 298.257223563;
    Float64 grid_mapping_latitude_of_projection_origin 90.0;
    String grid_mapping_name "polar_stereographic";
    String grid_mapping_proj4text "+proj=stere +lat_0=90 +lat_ts=70 +lon_0=-45 +k=1 +x_0=0 +y_0=0 +datum=WGS84 +units=m +no_defs";
    Float64 grid_mapping_semi_major_axis 6378137.0;
    String grid_mapping_srid "EPSG:3413";
    Float64 grid_mapping_standard_parallel 70.0;
    Float64 grid_mapping_straight_vertical_longitude_from_pole -45.0;
    String history 
"2024-11-15T01:30:37Z https://www.star.nesdis.noaa.gov/thredds/dodsC/AMSR2gw1IceConcDailyAggNP06
2024-11-15T01:30:37Z https://polarwatch.noaa.gov/griddap/noaacwAMSR2gw1IceConcDailyNP06.das";
    String infoUrl "https://coastwatch.noaa.gov/cw/satellite-data-products/sea-ice.html";
    String institution "DOC/NOAA/NESDIS/OSPO > Office of Satellite and Product Operations, NESDIS, NOAA";
    String instrument "AMSR2";
    String keywords "altitude, amsr2, amsr2gw1iceconcdailyaggnp06, cols, commerce, concentration, daily, data, day, department, distribution, doc, environmental, flags, fraction, gcom, gcom-w1, graphics, ice, ice distribution, iceconc, information, merge, nasa, national, nesdis, noaa, office, operations, optical, optical properties, osdpd, ospo, overlay, planes, primary, product, properties, quality, rows, satellite, service, team, time";
    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 naming_authority "gov.noaa.nesdis.nde";
    String OBSERVED_PROPERTY "IceConc";
    String platform "GCOM-W1";
    String processing_level "NOAA Level 2 data";
    String proj4text "+proj=stere +lat_0=90 +lat_ts=70 +lon_0=-45 +k=1 +x_0=0 +y_0=0 +datum=WGS84 +units=m +no_defs";
    String proj_crs_code "EPSG:3413";
    String project "NPP Data Exploitation: NOAA GCOM-W1 AMSR2";
    String publisher_email "espcoperations@noaa.gov";
    String publisher_name "DOC/NOAA/NESDIS/NDE > NPP Data Exploitation, Center for Satellite Applications and Research, NESDIS, NOAA, U.S. Department of Commerce";
    String publisher_type "group";
    String publisher_url "https://www.ospo.noaa.gov/";
    String source "GCOM-W1_AMSR2_IceConc";
    String sourceUrl "https://www.star.nesdis.noaa.gov/thredds/dodsC/AMSR2gw1IceConcDailyAggNP06";
    String srid "EPSG:3413";
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary 
"This dataset is a level 3, daily, 10km, polar stereographic mapped composite of sea ice concentration using data from the GCOM-1 satellite AMSR-2 microwave sensor.
            These L3 composites are generated from level 2 data provided by NOAA OSPO; NOGAPS algorithm developed by NOAA STAR (Paul Chang, Lead).
            NOAA CoastWatch obtains L2 from OSPO and generates a L3 daily merged (composite) and maps to polar stereographic projection for routine distribution.
            The OSPO/STAR L2 product uses the GCOM-W1 AMSR-2 Algorithm Software Processor (GAASP) which takes the full orbital JAXA L1B data via NASA, applies brightness temperature bias corrections, assigns an RFI flag, performs internal reformatting, and then generates L2 products from the NOAA Operational GCOM-W1 AMSR-2 Products System Algorithm (NOGAPS).
            Platform/Sensor Details: The second Advanced Microwave Scanning Radiometer 2 (AMSR-2) on JAXA's Global Climate Observation Mission - Water 1 (GCOM-W1).
            Temporal coverage: Daily composites and 4-day rolling merge composites are produced daily with a latency of 12-24 hours.
            The composites have a 10 km spatial resolution and are mapped to Polar Stereographic projections for North Pole. The AMSR-2 Microwave sensor is not impacted by clouds and serves as a full coverage dataset that supplements the NOAA VIIRS infra-red 750m data.
            This L3 dataset is originally served on the STAR THREDDS server, PolarWatch connects to the dataset via the STAR ERDDAP server.
            For more information on the dataset and access servers visit: https://coastwatch.noaa.gov/cw/satellite-data-products/sea-ice.html.";
    String testOutOfDate "now-3days";
    String time_coverage_end "2024-11-13T13:03:19Z";
    String time_coverage_start "2021-04-20T19:22:58Z";
    String title "Ice Concentration, Daily, GCOM-W1 AMSR2, Arctic, 10km, NRT, Past 3 Weeks";
  }
}

 

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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