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Dataset Title:  Sea Ice Concentration, NOAA/NSIDC NRT Climate Data Record, Arctic, 25km, Near
Real-Time, 2016-Present, Daily
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Institution:  NSIDC > National Snow and Ice Data Center, NOAA   (Dataset ID: nsidcCDRiceNRTnh1day)
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 1.4516496e+9, 1.6235856e+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 -5337500.0, 5837500.0;
    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 -5350000.0, 5850000.0;
  }
  xgrid {
    String _CoordinateAxisType "GeoX";
    Float32 actual_range -3837500.0, 3737500.0;
    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 -3850000.0, 3750000.0;
  }
  seaice_conc_cdr {
    Float32 _FillValue 2.54;
    String ancillary_variables "stdev_of_seaice_conc_cdr qa_of_seaice_conc_cdr";
    String cell_methods "time: mean (interval: 1 day)";
    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 "NOAA/NSIDC Climate Data Record of Passive Microwave Daily Northern Hemisphere Sea Ice Concentration";
    String reference "https://nsidc.org/api/dataset/metadata/v2/oai?verb=GetRecord&metadataPrefix=dif&identifier=g10016";
    String standard_name "sea_ice_area_fraction";
    String units "1";
    Float32 valid_range 0.0, 1.0;
  }
  stdev_of_seaice_conc_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 "Quality";
    String long_name "Passive Microwave Daily Northern 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_cdr {
    Int16 _FillValue 32767;
    String cell_methods "time: mean (interval: 1 day)";
    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 "Day of Snow Melt Onset Over Sea Ice";
    Int16 missing_value 32767;
    String units "1";
    Int16 valid_range 60, 244;
  }
  qa_of_seaice_conc_cdr {
    Byte _FillValue 0;
    String _Unsigned "false";
    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, -128;
    String flag_meanings "BT_source_for_CDR NT_source_for_CDR no_ice_allowed_per_climatology grid_cell_near_to_coast concentration_below_fifty_percent melt_start_detected";
    String grid_mapping "projection";
    String ioos_category "Quality";
    String long_name "Passive Microwave Daily Northern Hemisphere Sea Ice Concentration QC flags";
    Byte missing_value 0;
    String standard_name "sea_ice_area_fraction status_flag";
    Byte valid_range 1, 127;
  }
  NC_GLOBAL {
    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_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, COARDS, ACDD-1.3";
    String creator_email "nsidc@nsidc.org";
    String creator_name "NSIDC";
    String creator_url "https://nsidc.org/";
    String date_created "2021-06-14T15:13:16Z";
    String defaultGraphQuery "seaice_conc_cdr[(last)][(5837500.0):(-5337500.0)][(-3837500.0):(3737500.0)]&.draw=surface";
    String history 
"2017-07-03T15:07:45Z: Data file created using software: git@bitbucket.org:nsidc/seaice_cdr.git@9b08592bfdd4ff7d6fdf2b56f7d33c58e974ace0 /n 2021-06-14T12:00:24: Additional metadata was added. Timestamp was converted to seconds since 1970-01-01T00:00:00Z.
2021-12-09T07:44:42Z ftp://sidads.colorado.edu/pub/DATASETS/NOAA/G02202_V3
2021-12-09T07:44:42Z https://polarwatch.noaa.gov/griddap/nsidcCDRiceNRTnh1day.das";
    String id "G10016";
    String infoUrl "https://nsidc.org/data/g10016";
    String institution "NSIDC > National Snow and Ice Data Center, NOAA";
    String keywords "america, arctic, area, atlantic, barents, bay, beaufort, bering, canada, center, chukchi, climate, concentration, continent, CONTINENT > NORTH AMERICA > CANADA > HUDSON BAY, Continent > North America > Canada > Hudson Bay, cryosphere, daily, data, davis, day, deviation, distribution, Earth Science > Cryosphere > Sea Ice > Ice Extent, Earth Science > Cryosphere > Sea Ice > Sea Ice Concentration, Earth Science > Oceans > Sea Ice > Ice Extent, estimated, extent, flag, flags, fraction, geographic, Geographic Region > Arctic, Geographic Region > Northern Hemisphere, Geographic Region > Polar, gulf, hemisphere, hudson, ice, ice distribution, lawrence, mayen, melt, melt_onset_day_seaice_conc_cdr, microwave, national, near, near real time, noaa, noaa/nsidc, north, northern, norwegian, nsidc, ocean, Ocean > Arctic Ocean, Ocean > Arctic Ocean > Barents Sea, Ocean > Arctic Ocean > Beaufort Sea, Ocean > Arctic Ocean > Chukchi Sea, Ocean > Atlantic Ocean > North Atlantic Ocean > Davis Straight, OCEAN > ATLANTIC OCEAN > NORTH ATLANTIC OCEAN > GULF OF ST LAWRENCE, Ocean > Atlantic Ocean > North Atlantic Ocean > North Sea, Ocean > Atlantic Ocean > North Atlantic Ocean > Norwegian Sea, OCEAN > ATLANTIC OCEAN > NORTH ATLANTIC OCEAN > SVALBARD AND JAN MAYEN, Ocean > Pacific Ocean, Ocean > Pacific Ocean > North Pacific Ocean > Bering Sea, Ocean > Pacific Ocean > North Pacific Ocean > Sea Of Okhotsk, oceans, okhotsk, onset, over, pacific, passive, polar, qa_of_seaice_conc_cdr, quality, real, real time, real-time, realtime, record, region, science, science quality, sea, sea_ice_area_fraction, sea_ice_area_fraction status_flag, seaice_conc_cdr, snow, source, standard, status, stdev_of_seaice_conc_cdr, straight, svalbard, time, version, xgrid, ygrid";
    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. 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";
    String Metadata_Link "https://nsidc.org/api/dataset/metadata/v2/oai?verb=GetRecord&metadataPrefix=dif&identifier=g10016";
    String naming_authority "nsidc.org";
    String platform "DMSP 5D-3/F18 > Defense Meteorological Satellite Program-F18";
    String processing_level "NOAA Level 3";
    String product_version "v01r00";
    String program "NOAA Climate Data Record Program";
    String proj_crs_code "EPSG:3411";
    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.";
    Float64 proj_false_easting 0.0;
    Float64 proj_false_northing 0.0;
    String proj_GeoTransform "-3850000.0 25000.0 0 5850000.0 0 25000.0";
    Float64 proj_grid_boundary_bottom_projected_y -5350000.0;
    Float64 proj_grid_boundary_left_projected_x -3850000.0;
    Float64 proj_grid_boundary_right_projected_x 3750000.0;
    Float64 proj_grid_boundary_top_projected_y 5850000.0;
    String proj_grid_mapping_name "polar_stereographic";
    Float64 proj_latitude_of_projection_origin 90.0;
    Float64 proj_longitude_of_projection_origin -45.0;
    Float64 proj_parent_grid_cell_column_subset_end 304.0;
    Float64 proj_parent_grid_cell_column_subset_start 0.0;
    Float64 proj_parent_grid_cell_row_subset_end 448.0;
    Float64 proj_parent_grid_cell_row_subset_start 0.0;
    String proj_proj4text "+proj=stere +lat_0=90 +lat_ts=70 +lon_0=-45 +k=1 +x_0=0 +y_0=0 +a=6378273 +b=6356889.449 +units=m +no_defs";
    Float64 proj_scaling_factor 1.0;
    Float64 proj_semimajor_radius 6378273.0;
    Float64 proj_semiminor_radius 6356889.449;
    String proj_spatial_ref "PROJCS[\"NSIDC Sea Ice Polar Stereographic North\",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\",-45],PARAMETER[\"scale_factor\",1],PARAMETER[\"false_easting\",0],PARAMETER[\"false_northing\",0],AUTHORITY[\"EPSG\",\"3411\"],AXIS[\"X\",UNKNOWN],AXIS[\"Y\",UNKNOWN]]";
    String proj_srid "urn:ogc:def:crs:EPSG::3411";
    Float64 proj_standard_parallel 70.0;
    Float64 proj_straight_vertical_longitude_from_pole 135.0;
    String proj_units "meters";
    String project "NOAA/NSIDC passive microwave sea ice concentration climate data record";
    String projection "EPSG:3411, https://epsg.io/3411";
    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.";
    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_resolution "25km";
    String standard_name_vocabulary "CF Standard Name Table v29";
    String summary "This data set provides a Climate Data Record (CDR) of sea ice concentration from passive microwave data. It provides a consistent, daily and monthly time series of sea ice concentrations from 09 July 1987 through the most recent processing for both the north and south polar regions. In addition, three other sea ice concentration products are included with the CDR that extend the sea ice measurements back to 26 October 1978. However, these three products are not included in the official CDR because processing the older data in a way that follows the standards of a CDR is not currently possible. All data are on a 25 km x 25 km grid. Variables containing standard deviation, quality flags, and projection information are also included.";
    String time_coverage_duration "P1D";
    String time_coverage_end "2021-06-13T12:00:00Z";
    String time_coverage_resolution "P1D";
    String time_coverage_start "2016-01-01T12:00:00Z";
    String title "Sea Ice Concentration, NOAA/NSIDC NRT Climate Data Record, Arctic, 25km, Near Real-Time, 2016-Present, Daily";
  }
}

 

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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