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Dataset Title:  Z-DEPRECATED - Sea Ice Concentration, NOAA/NSIDC Climate Data Record V3,
Antarctic, 25km, Science Quality, 1978-2019, Monthly
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Institution:  NSIDC > National Snow and Ice Data Center, NOAA   (Dataset ID: nsidcCDRiceSQshmday)
Information:  Summary ? | License ? | Metadata | Background (external link) | Data Access Form | Files
 
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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 2.800224e+8, 1.5764544e+9;
    String axis "T";
    String calendar "gregorian";
    String coverage_content_type "coordinate";
    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";
  }
  ygrid {
    String _CoordinateAxisType "GeoY";
    Float32 actual_range -3937500.0, 4337500.0;
    String axis "Y";
    String comment " xgrid values are the centers of the grid cells";
    String coverage_content_type "coordinate";
    String ioos_category "Location";
    String long_name "Projection Grid Y Centers";
    String standard_name "projection_y_coordinate";
    String units "meters";
    Float32 valid_range -3950000.0, 4350000.0;
  }
  xgrid {
    String _CoordinateAxisType "GeoX";
    Float32 actual_range -3937500.0, 3937500.0;
    String axis "X";
    String comment " xgrid values are the centers of the grid cells";
    String coverage_content_type "coordinate";
    String ioos_category "Location";
    String long_name "Projection Grid X Centers";
    String standard_name "projection_x_coordinate";
    String units "meters";
    Float32 valid_range -3950000.0, 3950000.0;
  }
  seaice_conc_monthly_cdr {
    Float32 _FillValue -0.02;
    String ancillary_variables "stdev_of_seaice_conc_monthly_cdr qa_of_seaice_conc_monthly_cdr";
    String cell_methods "time: mean (interval: 1 month)";
    Float64 colorBarMaximum 1.0;
    Float64 colorBarMinimum 0.0;
    String colorBarPalette "KT_ice";
    String comment "This variable begins in 1987, pre-1987 data is available in the goddard merged variable";
    String coverage_content_type "physicalMeasurement";
    String datum "+ellps=urn:ogc:def:crs:EPSG::4326";
    String flag_meanings "pole_hole lakes coastal land_mask missing_data";
    Byte flag_values -5, -4, -3, -2, -1;
    String grid_mapping "projection";
    String ioos_category "Ice Distribution";
    String long_name "NOAA/NSIDC Climate Data Record of Passive Microwave Monthly Southern Hemisphere Sea Ice Concentration";
    String references "https://nsidc.org/api/metadata?id=g02202";
    String standard_name "sea_ice_area_fraction";
    String units "1";
    Float32 valid_range 0.0, 1.0;
  }
  stdev_of_seaice_conc_monthly_cdr {
    Float32 _FillValue -1.0;
    Float64 colorBarMaximum 1.0;
    Float64 colorBarMinimum 0.0;
    String coverage_content_type "qualityInformation";
    String datum "+ellps=urn:ogc:def:crs:EPSG::4326";
    String grid_mapping "projection";
    String ioos_category "Statistics";
    String long_name "Passive Microwave Monthly Southern Hemisphere Sea Ice Concentration Source Estimated Standard Deviation";
    Float32 missing_value -1.0;
    Float32 valid_range 0.0, 1.0;
  }
  melt_onset_day_seaice_conc_monthly_cdr {
    Int32 _FillValue 65535;
    String cell_methods "time: mean (interval: 1 month)";
    Float64 colorBarMaximum 250.0;
    Float64 colorBarMinimum 50.0;
    String coverage_content_type "physicalMeasurement";
    String datum "+ellps=urn:ogc:def:crs:EPSG::4326";
    String grid_mapping "projection";
    String ioos_category "Ice Distribution";
    String long_name "Monthly Day of Snow Melt Onset Over Sea Ice";
    Int32 missing_value 65535;
    String units "1";
    Int32 valid_range 60, 244;
  }
  qa_of_seaice_conc_monthly_cdr {
    Int16 _FillValue 0;
    String colorBarContinuous "false";
    Float64 colorBarMaximum 64.0;
    Float64 colorBarMinimum -8.0;
    String colorBarNSections "16";
    String coverage_content_type "qualityInformation";
    String datum "+ellps=urn:ogc:def:crs:EPSG::4326";
    Byte flag_masks 1, 2, 4, 8, 32, 64, -128;
    String flag_meanings "BT_majority_algorithm_for_monthly_CDR NT_majority_algorithm_for_monthly_CDR no_ice_allowed_per_climatology grid_cell_near_to_coast ice_present_less_half_of_month melt_detected_at_least_one_day melt_detected_greater_than_half_month";
    String grid_mapping "projection";
    String ioos_category "Quality";
    String long_name "Passive Microwave Monthly Southern Hemisphere Sea Ice Concentration QC flags";
    Int16 missing_value 0;
    String standard_name "sea_ice_area_fraction status_flag";
    Int16 valid_range 1, 255;
  }
  goddard_merged_seaice_conc_monthly {
    Float32 _FillValue -0.02;
    String cell_methods "time: mean (interval: 1 month)";
    Float64 colorBarMaximum 1.0;
    Float64 colorBarMinimum 0.0;
    String colorBarPalette "KT_ice";
    String coverage_content_type "physicalMeasurement";
    String datum "+ellps=urn:ogc:def:crs:EPSG::4326";
    String flag_meanings "pole_hole lakes coastal land_mask missing_data";
    Byte flag_values -5, -4, -3, -2, -1;
    String grid_mapping "projection";
    String ioos_category "Ice Distribution";
    String long_name "Goddard Edited Climate Data Record of Passive Microwave Monthly Southern Hemisphere Sea Ice Concentration, Goddard Edited";
    String references "https://nsidc.org/data/nsidc-0051.html https://nsidc.org/data/nsidc-0079.html";
    String standard_name "sea_ice_area_fraction";
    String units "1";
    Float32 valid_range 0.0, 1.0;
  }
  goddard_nt_seaice_conc_monthly {
    Float32 _FillValue -0.02;
    String cell_methods "time: mean (interval: 1 month)";
    Float64 colorBarMaximum 1.0;
    Float64 colorBarMinimum 0.0;
    String colorBarPalette "KT_ice";
    String coverage_content_type "physicalMeasurement";
    String datum "+ellps=urn:ogc:def:crs:EPSG::4326";
    String flag_meanings "pole_hole unused coastal land_mask missing_data";
    Byte flag_values -5, -4, -3, -2, -1;
    String grid_mapping "projection";
    String ioos_category "Quality";
    String long_name "Passive Microwave Monthly Southern Hemisphere Sea Ice Concentration by NASA Team algorithm with Goddard QC";
    String references "Documentation available at: https://nsidc.org/data/nsidc-0051.html";
    String standard_name "sea_ice_area_fraction";
    String units "1";
    Float32 valid_range 0.0, 1.0;
  }
  goddard_bt_seaice_conc_monthly {
    Float32 _FillValue -0.02;
    String cell_methods "time: mean (interval: 1 month)";
    Float64 colorBarMaximum 1.0;
    Float64 colorBarMinimum 0.0;
    String colorBarPalette "KT_ice";
    String coverage_content_type "physicalMeasurement";
    String datum "+ellps=urn:ogc:def:crs:EPSG::4326";
    String flag_meanings "pole_hole unused coastal land_mask missing_data";
    Byte flag_values -5, -4, -3, -2, -1;
    String grid_mapping "projection";
    String ioos_category "Ice Distribution";
    String long_name "Passive Microwave Monthly Southern Hemisphere Sea Ice Concentration by Bootstrap algorithm with Goddard QC";
    String references "Documentation available at: https://nsidc.org/data/nsidc-0079.html";
    String standard_name "sea_ice_area_fraction";
    String units "1";
    Float32 valid_range 0.0, 1.0;
  }
  NC_GLOBAL {
    String acknowledgement "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 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_variable "seaice_conc_monthly_cdr";
    String contributor_name "Walt Meier, Ruth Duerr, Florence Fetterer, Julienne Stroeve, Matt Savoie, Sean Mallory";
    String contributor_role "PrincipalInvestigator,author,author,author,author,author";
    String Conventions "CF-1.6, ACDD-1.3, COARDS";
    String creator_email "nsidc@nsidc.org";
    String creator_name "NSIDC";
    String creator_type "institution";
    String creator_url "https://nsidc.org/";
    String date_created "2020-08-04T19:45:20Z";
    String defaultGraphQuery "seaice_conc_dir[last][0][0:last][0:last]&.draw=surface&.vars=yaxis|xaxis|seaice_conc_dir";
    Float64 false_easting 0.0;
    Float64 false_northing 0.0;
    String GeoTransform "-3950000.0 25000.0 0 4350000.0 0 25000.0";
    Float64 grid_boundary_bottom_projected_y -3950000.0;
    Float64 grid_boundary_left_projected_x -3950000.0;
    Float64 grid_boundary_right_projected_x 3950000.0;
    Float64 grid_boundary_top_projected_y 4350000.0;
    String grid_mapping_name "polar_stereographic";
    String history 
"2017-07-03T15:07:45Z: Data file created using software: git@bitbucket.org:nsidc/seaice_cdr.git@9b08592bfdd4ff7d6fdf2b56f7d33c58e974ace0 /n 2020-10-06T17:43:39: Additional metadata was added. Timestamp was converted to seconds since 1970-01-01T00:00:00Z.
2024-03-28T11:25:29Z ftp://sidads.colorado.edu/pub/DATASETS/NOAA/G02202_V3
2024-03-28T11:25:29Z https://polarwatch.noaa.gov/griddap/nsidcCDRiceSQshmday.das";
    String id "G02202";
    String infoUrl "https://nsidc.org/data/g02202";
    String institution "NSIDC > National Snow and Ice Data Center, NOAA";
    String keywords "algorithm, area, bellingshausen, bootstrap, center, climate, common, concentration, cryosphere, dmsp, Earth Science > Cryosphere > Sea Ice > Ice Extent, Earth Science > Cryosphere > Sea Ice > Sea Ice Concentration, Earth Science > Oceans > Sea Ice > Ice Extent, extent, flight, Geographic Region > Polar, Geographic Region > Southern Hemisphere, goddard, goddard_bt_seaice_conc_monthly, goddard_merged_seaice_conc_monthly, goddard_nt_seaice_conc_monthly, gsfc, hemisphere, ice, ice distribution, melt, melt_onset_day_seaice_conc_monthly_cdr, meteorological, microwave, month, monthly, nasa, national, network, noaa, noaa/nsidc, nsidc, ocean, Ocean > Southern Ocean, Ocean > Southern Ocean > Bellingshausen Sea, Ocean > Southern Ocean > Ross Sea, Ocean > Southern Ocean > Weddell Sea, oceans, onset, passive, polar, qa_of_seaice_conc_monthly_cdr, quality, record, region, remote, remss, ross, satellite, sea, sea_ice_area_fraction, sea_ice_area_fraction status_flag, seaice_conc_monthly_cdr, sensing, snow, source, southern, space, standard, statistics, status, stdev_of_seaice_conc_monthly_cdr, weddell";
    String keywords_vocabulary "GCMD Science Keywords";
    Float64 latitude_of_projection_origin -90.0;
    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. Please acknowledge the use of these data with the following statement: \"These data were provided by NOAA's Center for Satellite Applications & Research (STAR) and the CoastWatch program and distributed by NOAA/NMFS/SWFSC/ERD. \" To reference these data as a citation in a paper, please follow the instructions in the license and at this link: https://coastwatch.pfeg.noaa.gov/erddap/information.html#citeDataset";
    Float64 longitude_of_projection_origin 0.0;
    String Metadata_Link "https://nsidc.org/api/dataset/metadata/v2/oai?verb=GetRecord&metadataPrefix=dif&identifier=g02202";
    String naming_authority "nsidc.org";
    Float64 parent_grid_cell_column_subset_end 316.0;
    Float64 parent_grid_cell_column_subset_start 0.0;
    Float64 parent_grid_cell_row_subset_end 332.0;
    Float64 parent_grid_cell_row_subset_start 0.0;
    String platform "DMSP 5D-3/F17 > Defense Meteorological Satellite Program-F17";
    String processing_level "NOAA Level 3";
    String product_version "v03r01";
    String program "NOAA Climate Data Record Program";
    String proj4text "+proj=stere +lat_0=-90 +lat_ts=-70 +lon_0=0 +k=1 +x_0=0 +y_0=0 +a=6378273 +b=6356889.449 +units=m +no_defs";
    String proj_crs_code "EPSG:3412";
    String proj_crs_code_description "The proj_crs_code attribute references a registered projection identifier (i.e. EPSG) when available. If the projection is not registered, non-standard then this attribute references a PolarWatch assigned internal identifier.";
    String proj_units "meters";
    String project "NOAA/NSIDC passive microwave sea ice concentration climate data record";
    String projection "EPSG:3412, https://epsg.io/3412";
    String publisher_email "erd.data@noaa.gov";
    String publisher_name "NOAA NMFS SWFSC ERD";
    String publisher_type "institution";
    String publisher_url "https://coastwatch.pfeg.noaa.gov";
    String references "Comiso, J. C., and F. Nishio. 2008. Trends in the Sea Ice Cover Using Enhanced and Compatible AMSR-E, SSM/I, and SMMR Data. Journal of Geophysical Research 113, C02S07, doi:10.1029/2007JC0043257. ; Comiso, J. C., D. Cavalieri, C. Parkinson, and P. Gloersen. 1997. Passive Microwave Algorithms for Sea Ice Concentrations: A Comparison of Two Techniques. Remote Sensing of the Environment 60(3):357-84. ; Comiso, J. C. 1984. Characteristics of Winter Sea Ice from Satellite Multispectral Microwave Observations. Journal of Geophysical Research 91(C1):975-94. ; Cavalieri, D. J., P. Gloersen, and W. J. Campbell. 1984. Determination of Sea Ice Parameters with the NIMBUS-7 SMMR. Journal of Geophysical Research 89(D4):5355-5369. ; Cavalieri, D. J., C. l. Parkinson, P. Gloersen, J. C. Comiso, and H. J. Zwally. 1999. Deriving Long-term Time Series of Sea Ice Cover from Satellite Passive-Microwave Multisensor Data Sets. Journal of Geophysical Research 104(7):\t15,803-15,814.";
    Float64 scaling_factor 1.0;
    Float64 semimajor_radius 6378273.0;
    Float64 semiminor_radius 6356889.449;
    String sensor "SSMI/S > Special Sensor Microwave Imager/Sounder";
    String software_version_id "git@bitbucket.org:nsidc/seaice_cdr.git@0dabe0adea30e5b0eb3bfe812d88a585ffb6c7e7";
    String source " Satellite observations";
    String sourceUrl "ftp://sidads.colorado.edu/pub/DATASETS/NOAA/G02202_V3";
    String spatial_ref "PROJCS[\"NSIDC Sea Ice Polar Stereographic South\",GEOGCS[\"Unspecified datum based upon the Hughes 1980 ellipsoid\",DATUM[\"Not_specified_based_on_Hughes_1980_ellipsoid\",SPHEROID[\"Hughes 1980\",6378273,298.279411123061,AUTHORITY[\"EPSG\",\"7058\"]],AUTHORITY[\"EPSG\",\"6054\"]],PRIMEM[\"Greenwich\",0,AUTHORITY[\"EPSG\",\"8901\"]],UNIT[\"degree\",0.01745329251994328,AUTHORITY[\"EPSG\",\"9122\"]],AUTHORITY[\"EPSG\",\"4054\"]],UNIT[\"metre\",1,AUTHORITY[\"EPSG\",\"9001\"]],PROJECTION[\"Polar_Stereographic\"],PARAMETER[\"latitude_of_origin\",-70],PARAMETER[\"central_meridian\",0],PARAMETER[\"scale_factor\",1],PARAMETER[\"false_easting\",0],PARAMETER[\"false_northing\",0],AUTHORITY[\"EPSG\",\"3412\"],AXIS[\"X\",UNKNOWN],AXIS[\"Y\",UNKNOWN]]";
    String spatial_resolution "25km";
    String srid "urn:ogc:def:crs:EPSG::3412";
    String standard_name_vocabulary "CF Standard Name Table v29";
    Float64 standard_parallel -70.0;
    Float64 straight_vertical_longitude_from_pole 180.0;
    String summary "Alert: There is a newer version of this dataset. Please use Version 4 of the NSIDC Sea Ice Concentration CDR with ERDDAP ID: nsidcG02202v4shmday. Link: https://polarwatch.noaa.gov/erddap/griddap/nsidcG02202v4shmday.graph. Version 3 Summary: This data set provides a passive microwave sea ice concentration climate data record (CDR) based on gridded brightness temperatures (TBs) from the Defense Meteorological Satellite Program (DMSP) series of passive microwave radiometers: the Special Sensor Microwave Imager (SSM/I) and the Special Sensor Microwave Imager/Sounder (SSMIS). The sea ice concentration CDR is an estimate of sea ice concentration that is produced by combining concentration estimates from two algorithms developed at the NASA Goddard Space Flight Center (GSFC): the NASA Team algorithm and the Bootstrap algorithm. The individual algorithms are processed and combined at National Snow and Ice Data Center (NSIDC) using brightness temperature data from Remote Sensing Systems, Inc. (RSS).  This product is designed to provide a consistent time series of sea ice concentrations (the fraction, or percentage, of ocean area covered by sea ice) from 1987 to the present which spans the coverage of several passive microwave instruments. The data are gridded on the NSIDC polar stereographic grid with 25 x 25 km grid cells, and are available in Network Common Data Format (NetCDF) file format. Each file contains a variable with the CDR concentration values as well as variables that hold the input NASA Team and Bootstrap concentrations for reference and a merged NASA Team/Bootstrap version of the Goddard sea ice concentrations that spans 1978 to the present made available as a longer-term analog of the CDR concentrations. Variables containing standard deviation, quality flags, and projection information are also included. Data are available via FTP.";
    String time_coverage_duration "P1M";
    String time_coverage_end "2019-12-16T00:00:00Z";
    String time_coverage_resolution "P1M";
    String time_coverage_start "1978-11-16T00:00:00Z";
    String title "Z-DEPRECATED - Sea Ice Concentration, NOAA/NSIDC Climate Data Record V3, Antarctic, 25km, Science Quality, 1978-2019, Monthly";
  }
}

 

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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