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Dataset Title:	Sea Ice Concentration, OSI SAF EUMETSAT, Arctic, Polar Stereographic, 10km, 2005-present
Institution:	EUMETSAT OSI SAF (Dataset ID: eumetsat_osisaf_ice_conc_nh_ps)
Information:	Summary \| License \| Metadata \| Background \| Data Access Form

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Graph Type:
X Axis:
Y Axis:
Color:

Dimensions

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Stop

time (UTC)

specify just 1 value →

yc (km)

xc (km)

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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.

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.1096784e+9, 1.6794864e+9;
    String axis "T";
    String calendar "standard";
    String ioos_category "Time";
    String long_name "reference time of product";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  yc {
    Float64 actual_range -5345.0, 5845.0;
    String axis "Y";
    String comment "Coordinates are in Polar Stereographic projection. For projection and grid details see the coordinating grid dataset and the product user guide at https://osisaf-hl.met.no/sites/osisaf-hl.met.no/files/user_manuals/osisaf_cdop3_ss2_pum_ice-conc_v1p6.pdf";
    String ioos_category "Location";
    String long_name "y coordinate in Cartesian system";
    String standard_name "projection_y_coordinate";
    String units "km";
  }
  xc {
    Float64 actual_range -3845.0, 3745.0;
    String axis "X";
    String comment "Coordinates are in Polar Stereographic projection. For projection and grid details see the coordinating grid dataset and the product user guide at https://osisaf-hl.met.no/sites/osisaf-hl.met.no/files/user_manuals/osisaf_cdop3_ss2_pum_ice-conc_v1p6.pdf";
    String ioos_category "Location";
    String long_name "x coordinate in Cartesian system";
    String standard_name "projection_x_coordinate";
    String units "km";
  }
  ice_conc {
    Float32 _FillValue -9.99;
    Float64 colorBarMaximum 100.0;
    Float64 colorBarMinimum 0.0;
    String comment "This field contains the ice concentration from field ice_conc_unfiltered, which has been filtered to remove spurious ice. Note, this removes some amounts of valid ice at the ice edge.";
    String grid_mapping "Polar_Stereographic_Grid";
    String ioos_category "Ice Distribution";
    String long_name "The filtered sea ice concentration on the northern hemisphere";
    String standard_name "sea_ice_area_fraction";
    String units "percent";
    Float32 valid_max 100.0;
    Float32 valid_min 0.0;
  }
  ice_conc_unfiltered {
    Float32 _FillValue -9.99;
    Float64 colorBarMaximum 100.0;
    Float64 colorBarMinimum 0.0;
    String comment "This field contains the unfiltered ice concentration. A climatology mask has been applied to remove spurious ice, but no other filtering is applied. This field may contain spurious ice. If a filtered field is required, use the \"ice_conc\" field.";
    String grid_mapping "Polar_Stereographic_Grid";
    String ioos_category "Ice Distribution";
    String long_name "The unfiltered sea ice concentration on the northern hemisphere";
    String standard_name "sea_ice_area_fraction";
    String units "percent";
    Float32 valid_max 100.0;
    Float32 valid_min 0.0;
  }
  masks {
    Byte _FillValue -128;
    String _Unsigned "false";
    Float64 colorBarMaximum 5.0;
    Float64 colorBarMinimum 0.0;
    String comment "This bitmask gives the masks which have been applied to convert the ice_conc_unfiltered variable to the ice_conc variable.";
    String flag_descriptions 
"all bits to 0 -> no masks set
bit 1 -> mask for sea ice maximum climatology set
bit 2 -> open water filter mask set
bit 3 -> NWP 2m air temperature mask set";
    Byte flag_masks 1, 2, 4;
    String flag_meanings "max_ice_climato open_water_filtered high_t2m";
    String grid_mapping "Polar_Stereographic_Grid";
    String ioos_category "Ice Distribution";
    String long_name "masks used to filter ice concentration";
    String units "1";
    Byte valid_range 0, 7;
  }
  confidence_level {
    Byte _FillValue -128;
    String _Unsigned "false";
    Float64 colorBarMaximum 6.0;
    Float64 colorBarMinimum 0.0;
    String flag_descriptions 
"0 -> not processed, no input data
1 -> computation failed
2 -> processed but to be used with care
3 -> nominal processing, acceptable quality
4 -> nominal processing, good quality
5 -> nominal processing, excellent quality";
    String flag_meanings "unprocessed erroneous unreliable acceptable good excellent";
    Byte flag_values 0, 1, 2, 3, 4, 5;
    String grid_mapping "Polar_Stereographic_Grid";
    String ioos_category "Statistics";
    String long_name "confidence level";
    Byte valid_max 5;
    Byte valid_min 0;
  }
  status_flag {
    Byte _FillValue -1;
    String _Unsigned "false";
    Float64 colorBarMaximum 150.0;
    Float64 colorBarMinimum 0.0;
    String comment "This file contains two ice concentration variables: \"ice_conc\" and \"ice_conc_unfiltered\". These flags relate to the \"ice_conc\" variable.";
    String flag_descriptions 
"0 -> nominal value from algorithm used
  2 -> sea ice algorithm applied over lake
 10 -> maximum climatology test applied
 11 -> coastal correction algorithm applied
 12 -> open water filter applied
100 -> missing value due to over land
101 -> missing value due to missing data
102 -> unclassified pixel";
    String flag_meanings "nominal lake background coastal_correction open_water_filter land missing unclassified";
    Byte flag_values 0, 2, 10, 11, 12, 100, 101, 102;
    String grid_mapping "Polar_Stereographic_Grid";
    String ioos_category "Quality";
    String long_name "status flag for concentration of sea ice retrieval";
    String standard_name "sea_ice_area_fraction status_flag";
    String units "1";
    Byte valid_max 102;
    Byte valid_min 0;
  }
  total_uncertainty {
    Float32 _FillValue -1.0e+10;
    Float64 colorBarMaximum 1.5;
    Float64 colorBarMinimum 0.0;
    String grid_mapping "Polar_Stereographic_Grid";
    String ioos_category "Quality";
    Int32 least_significant_digit 3;
    String long_name "The sea ice concentration uncertainty on the northern hemisphere";
    String units "1";
  }
  smearing_uncertainty {
    Float32 _FillValue -1.0e+10;
    Float64 colorBarMaximum 1.5;
    Float64 colorBarMinimum 0.0;
    String grid_mapping "Polar_Stereographic_Grid";
    String ioos_category "Quality";
    Int32 least_significant_digit 3;
    String long_name "The sea ice concentration smearing uncertainty on the northern hemisphere";
    String units "1";
  }
  algorithm_uncertainty {
    Float32 _FillValue -1.0e+10;
    Float64 colorBarMaximum 1.5;
    Float64 colorBarMinimum 0.0;
    String grid_mapping "Polar_Stereographic_Grid";
    String ioos_category "Quality";
    Int32 least_significant_digit 3;
    String long_name "The sea ice concentration algorithm and tie-point uncertainty on the northern hemisphere";
    String units "1";
  }
  NC_GLOBAL {
    String abstract "The daily analysis of sea ice concentration is obtained from operation satellite images of the polar regions. It is based on atmospherically corrected signal and a carefully selected sea ice concentration algorithm. This product is freely available from the EUMETSAT Ocean and Sea Ice Satellite Application Facility (OSI SAF).";
    String activity_type "Space borne instrument";
    String area "Northern Hemisphere";
    String cdm_data_type "Grid";
    String contact "osisaf-manager@met.no";
    String Conventions "CF-1.6, COARDS, ACDD-1.3";
    String copyright_statement "Copyright 2023 EUMETSAT";
    String creator_email "osisaf-manager@met.no";
    String creator_name "EUMETSAT";
    String creator_type "institution";
    String creator_url "https://www.eumetsat.int/website/home/index.html";
    String defaultGraphQuery "ice_conc%5B%282020-09-04T12%3A00%3A00Z%29%5D%5B%285845.0%29%3A%28-5345.0%29%5D%5B%28-3845.0%29%3A%283745.0%29%5D%26.draw%3Dsurface%26.vars%3Dxc%257Cyc%257Cice_conc%26.colorBar%3DKT_ice";
    String distribution_statement "Free";
    String gcmd_keywords 
"Cryosphere > Sea Ice > Sea Ice Concentration
Oceans > Sea Ice > Sea Ice Concentration
Geographic Region > Northern Hemisphere
Vertical Location > Sea Surface
EUMETSAT/OSISAF > Satellite Application Facility on Ocean and Sea Ice, European Organisation for the Exploitation of Meteorological Satellites";
    String history 
"2023-03-22 creation
2023-03-30T15:28:55Z https://thredds.met.no/thredds/dodsC/osisaf/met.no/ice/conc_nh_pol_agg
2023-03-30T15:28:55Z https://polarwatch.noaa.gov/griddap/eumetsat_osisaf_ice_conc_nh_ps.das";
    String infoUrl "http://www.osi-saf.org/?q=content/global-sea-ice-concentration-ssmis";
    String institution "EUMETSAT OSI SAF";
    String instrument_type "Multi-sensor analysis";
    String keywords "agg, algorithm, algorithm_uncertainty, analysis, application, area, climate, conc, concentration, confidence, confidence_level, cryosphere, daily, data, day, distribution, earth, Earth Science > Cryosphere > Sea Ice > Ice Extent, Earth Science > Oceans > Sea Ice > Ice Extent, eumetsat, european, exploitation, extent, facility, filter, filtered, flag, fraction, hemisphere, ice, ice distribution, ice_conc, ice_conc_unfiltered, laboratory, level, masks, meteorological, meteorology, northern, ocean, oceanographic, oceanography, oceans, organisation, osi, osisaf, point, pol, proudman, quality, remote sensing, retrieval, saf, satellite, satellites, science, sea, sea ice, sea ice concentration, sea_ice_area_fraction, sea_ice_area_fraction status_flag, smearing, smearing_uncertainty, statistics, status, status_flag, tie, tie-point, time, total_uncertainty, uncertainty, unfiltered, used";
    String keywords_vocabulary "GCMD Science Keywords";
    String license 
"All intellectual property rights of the OSI SAF products belong to EUMETSAT. The use of these products is granted to every interested user, free of charge. If you wish to use these products, EUMETSAT's copyright credit must be shown by displaying the words \"copyright (year) EUMETSAT\" on each of the products used. 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 "3.6.3";
    String PI_name "Rasmus Tonboe";
    String platform_name "Multi-sensor analysis";
    String product_id "OSI-401";
    String product_name "osi_saf_ice_conc";
    String product_status "operational";
    String product_version "4.0";
    String proj_crs_code "osisaf_ps_nh";
    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_false_easting "0.0";
    String proj_false_northing "0.0";
    String proj_grid_mapping_name "polar_stereographic";
    String proj_latitude_of_projection_origin "90.0";
    String proj_pro4_string "+proj=stere +a=6378273 +b=6356889.44891 +lat_0=90 +lat_ts=70 +lon_0=-45";
    String proj_semi_major_axis "6378273.0";
    String proj_semi_minor_axis "6356889.44891";
    String proj_straight_vertical_logitude_from_pole "-45.0";
    String proj_strandard_parallel "70.0";
    String project_name "EUMETSAT OSI SAF";
    String references 
"Product User Manual for OSI SAF Global Sea Ice Concentration, 
Rasmus Tonboe et al. (editor)
 v1.4, May 2017
 http://www.osi-saf.org";
    String software_version "1.3";
    String sourceUrl "https://thredds.met.no/thredds/dodsC/osisaf/met.no/ice/conc_nh_pol_agg";
    String standard_name_vocabulary "CF Standard Name Table v55";
    String summary "The OSI SAF Sea Ice data are developed and produced by the Norwegian and Danish Meteorological Institutes as a part of the OSI SAF project for EUMETSAT. Ice concentration is computed from atmospherically corrected SSMIS brightness temperatures, using a combination of state-of-the-art algorithms. The product series is operational since 2005 (version OSI-401-b since 26/05/2016). This product is complementary to the AMSR-2 global sea ice concentration product (OSI-408). The daily analysis of sea ice concentration is obtained from operation satellite images of the polar regions. It is based on atmospherically corrected signal and a carefully selected sea ice concentration algorithm. This product is freely available from the European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT) Ocean and Sea Ice Satellite Application Facility (OSI SAF).";
    String testOutOfDate "now-3days";
    String time_coverage_end "2023-03-22T12:00:00Z";
    String time_coverage_start "2005-03-01T12:00:00Z";
    String title "Sea Ice Concentration, OSI SAF EUMETSAT, Arctic, Polar Stereographic, 10km, 2005-present";
    String topiccategory "Oceans Climatology Meteorology Atmosphere";
  }
}

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.

(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.