ERDDAP > griddap > Make A Graph

Dataset Title:	Latitude and Longitude grids corresponding to ygrids and xgrids in EASE-2 Projection used in NESDIS sea ice data products. Antarctic, 1km, UW-CIMSS
Institution:	NOAA NESDIS PolarWatch   (Dataset ID: nesdis_ease2_latlon_shem_1k)
Information:	Summary | License | Metadata | Background | Data Access Form | Files

 

Graph Type:  lines linesAndMarkers markers sticks surface X Axis:  rows cols Y Axis:  longitude latitude Color:  longitude latitude   Dimensions    Start    Stop rows (meters) cols (meters)     specify just 1 value →   Graph Settings Marker Type:  None Plus X Dot Square Filled Square Circle Filled Circle Up Triangle Filled Up Triangle Borderless Filled Square Borderless Filled Circle Borderless Filled Up Triangle  Size:  3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 Color:  Color Bar:  BlackBlueWhite BlackGreenWhite BlackRedWhite BlackWhite BlueWhiteRed BlueWideWhiteRed LightRainbow Ocean OceanDepth Rainbow Rainbow2 Rainfall ReverseRainbow RedWhiteBlue RedWhiteBlue2 RedWideWhiteBlue Spectrum Topography TopographyDepth WhiteBlueBlack WhiteGreenBlack WhiteRedBlack WhiteBlack YellowRed KT_algae KT_amp KT_balance KT_curl KT_deep KT_delta KT_dense KT_gray KT_haline KT_ice KT_matter KT_oxy KT_phase KT_solar KT_speed KT_tempo KT_thermal KT_turbid EK80 CRW_hotspot CRW_dhw CRW_sst CRW_sstanomaly CRW_alert nsidc_seaIceSource nccos iceclass gmt CRW_heatwave HSL256 turbo Wind050  Continuity:  Continuous Discrete  Scale:  Linear Log    Minimum:   Maximum:   N Sections:  2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 Y Axis Minimum:   Maximum:    Ascending Descending Linear Log   Redraw the Graph (Please be patient. It may take a while to get the data.)   Optional: Then set the File Type: .asc .croissant .csv .csv0 .csvp .das .dds .dods .esriAscii .fgdc .htmlTable .iso19115 .iso19115_2 .iso19115_3_2016 .iso19139_2007 .itx .json .jsonlCSV .jsonlCSV1 .jsonlKVP .mat .nc .ncHeader .nccsv .nccsvMetadata .ncml .ncoJson .odvTxt .parquet .parquetWMeta .timeGaps .tsv .tsv0 .tsvp .wav .xhtml .geotif .kml .largePdf .largePng .pdf .png .smallPdf .smallPng .transparentPng (File Type information) and or view the URL: (Documentation / Bypass this form )

X range:  Zoom In

 

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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:

• Web page authors can embed a graph of the latest data in a web page using HTML <img> tags.
• Anyone can use ERDDAPs Slide Sorter to build a personal web page that displays graphs with the latest data (or other images or HTML content), each in its own, draggable slide.
   

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The Dataset Attribute Structure (.das) for this Dataset

Attributes {
  rows {
    String _CoordinateAxisType "GeoY";
    Int32 actual_range -4012000, 4011000;
    String axis "Y";
    String ioos_category "Location";
    String long_name "Northing of Pixel Centers";
    String standard_name "projection_y_coordinate";
    String units "meters";
  }
  cols {
    String _CoordinateAxisType "GeoX";
    Int32 actual_range -4012000, 4011000;
    String axis "X";
    String ioos_category "Location";
    String long_name "Easting of Pixel Centers";
    String standard_name "projection_x_coordinate";
    String units "meters";
  }
  longitude {
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String comment "longitude of EASE2 Grid 1km resolution in the polar regions, Arctic (9024,9024), Antarctic (8024, 8024)";
    String coverage_content_type "coordinate";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  latitude {
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String comment "latitude of EASE2 Grid 1km resolution in the polar regions, Arctic (9024, 9024), Antarctic (8024, 8024)";
    String coverage_content_type "coordinate";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  }
  NC_GLOBAL {
    String _NCProperties "version=2,netcdf=4.8.1,hdf5=1.10.7";
    String acknowledgment "This project was supported in part by a grant from the NOAA Climate Data Record Program. Production of original NASA Team and Bootstrap algorithm estimates supported by the NASA Polar Distributed Active Archive Center. The sea ice concentration algorithms were developed by Donald J. Cavalieri, Josefino C. Comiso, Claire L. Parkinson, and others at the NASA Goddard Space Flight Center in Greenbelt, MD.";
    String cdm_data_type "Grid";
    String cdr_program "NOAA National Environmental Satellite, Data and Information Service";
    String cdr_variable "fcdr_sea_ice_concentration_percentage";
    String contributor_name "Walter N. Meier, Florence Fetterer, Ann Windnagel, J. Scott Stewart, Trey Stafford, Matt Fisher";
    String contributor_role "principal investigator, author, author, software developer, software developer, software developer";
    String Conventions "CF-1.10, ACDD-1.3, NOAA CDR v1.0, GDS v2.0, COARDS";
    String creator_email "rdworak@ssec.wisc.edu";
    String creator_name "Richard J. Dworak";
    String creator_type "institution";
    String creator_url "stratus.ssec.wisc.edu";
    String date_created "1969-12-31";
    String grid_mapping_comment "Data is stored in 1 km EASE2-Grid. Refer to https://nsidc.org/data/user-resources/help-center/guide-ease-grids";
    Float32 grid_mapping_earth_radius 6371228.0;
    String grid_mapping_epsg_code "6932";
    Float32 grid_mapping_false_easting 0.0;
    Float32 grid_mapping_false_northing 0.0;
    Float32 grid_mapping_latitude_of_projection_origin -90.0;
    Float32 grid_mapping_longitude_of_projection_origin 0.0;
    String grid_mapping_name "lambert_azimuthal_equal_area";
    String grid_mapping_proj4_params "WGS84";
    String grid_mapping_proj4text "+proj=laea +lat_0=-90 +lon_0=0 +x_0=0 +y_0=0 +datum=WGS84 +units=m +no_defs +type=crs";
    String grid_mapping_spatial_ref "PROJCS[\"WGS 84 / NSIDC EASE-Grid 2.0 South\",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[\"Lambert_Azimuthal_Equal_Area\"],PARAMETER[\"latitude_of_center\",-90],PARAMETER[\"longitude_of_center\",0],PARAMETER[\"false_easting\",0],PARAMETER[\"false_northing\",0],UNIT[\"metre\",1,AUTHORITY[\"EPSG\",\"9001\"]],AUTHORITY[\"EPSG\",\"6932\"]]";
    String grid_mapping_srid "urn:ogc:def:crs:EPSG::6932";
    String grid_mappingearth_radius "6378137.0f";
    String grid_mappingfalse_easting "0.0f";
    String grid_mappingfalse_northing "0.0f";
    String history 
"AMSR2 and VIIRS
2026-05-21T20:09:50Z (local files)
2026-05-21T20:09:50Z https://coastwatch.noaa.gov/griddap/nesdis_ease2_latlon_shem_1k.das";
    String id "PS-LatLon_EASE_v2r0_Shem";
    String infoUrl "https://www.star.nesdis.noaa.gov/jpss/documents/ATBD/ATBD_EPS_Cloud_Mask_v1.2.pdf";
    String infourl "https://www.ospo.noaa.gov/Products/Suites/files/atbd/ATBD_IceSurfaceTemperatureIceConcentration_v1.0.pdf and https://ntrs.nasa.gov/api/citations/20140017491/downloads/20140017491.pdf";
    String institution "NOAA NESDIS PolarWatch";
    String keywords "amsr2, antarctic, blended, cimss, cols, concentration, cooperative, cryosphere, data, earth, Earth Science > Blended Product > Amsr2 > Viirs, Earth Science > Cryosphere > Sea Ice > Sea Ice Concentration, ice, imager, imager/radiometer, imaging, infrared, institute, latitude, longitude, madison, meteorological, product, radiometer, rows, science, sea, studies, suite, university, uw-cimss, viirs, visible, wisconsin";
    String keywords_vocabulary "GCMD Science Keywords";
    String license "These data may be redistributed and used without restriction.";
    String metadata_Link "https://nsidc.org/data/g02202/versions/4/";
    String metadata_link "https://www.star.nesdis.noaa.gov/jpss/documents/ATBD/ATBD_EPS_Cloud_Mask_v1.2.pdf";
    String nameing_authority "ssec.wisc.edu";
    String naming_authority "org.doi.dx";
    String platform "NOAA20 and GCOM-W1";
    String processing_level "L3 Mapped";
    String product_version "v1.0";
    String program "NOAA Climate Data Record Program";
    String proj4_string "WGS84";
    String project "NOAA/NSIDC passive microwave sea ice concentration climate data record";
    String references "https://www.mdpi.com/2072-4292/13/15/2982";
    String sensor "Visible Infrared Imaging Radiometer Suite and The Advanced Microwave Scanning Radiometer 2";
    String software_version_id "git@bitbucket.org:nsidc/seaice_cdr.git@a11f275ee7ada7a9cdadada1b3d252de674d624f";
    String source "AMSR2 and VIIRS";
    String sourceUrl "(local files)";
    String spatial_resolution "1 km";
    String standard_name_vocabulary "CF Standard Name Table v36";
    String summary "This is a Blended Sea Ice Concentration product that combines clear-sky Visible and Infrared Imager/Radiometer Suite (VIIRS) ice concentration from NOAA-20 with that comes from the AMSR2 NASA Team-2 10 km product. The output is remapped into 1-km EASE2 grid cells with a nominal resolution of at least 5-km. The NDE cloud mask is used to screen out cloudy VIIRS pixels. When the cloud mask for a data point is determined to be confidently clear, the output concentration in the blended product is 100% VIIRS. Otherwise, the Best Linear Unbiased Estimator equation is used to determine the output concentration (see https://www.sciencedirect.com/topics/mathematics/linear-unbiased-estimator#:~:text=Under%20assumptions%20V%20and%20VI,(Gauss%E2%80%93Markov%20theorem for more information on method).";
    String time_coverage_duration "P1D";
    String time_coverage_resolution "P1D";
    String title "Latitude and Longitude grids corresponding to ygrids and xgrids in EASE-2 Projection used in NESDIS sea ice data products. Antarctic, 1km, UW-CIMSS";
  }
}

 

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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 Data Access Protocol (DAP) and its projection constraints.

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.

• (easy) You can get data by using the dataset's Data Access Form. It makes the URL for you.
• (easy) You can make a graph or map by using the dataset's Make A Graph form. It makes the URL for you.
• (not hard) You can bypass the forms and get the data or make a graph or map by generating the URL by hand or with a computer program or script.

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.