Easier access to scientific data
| ?    
Brought to you by NOAA NMFS SWFSC ERD    

ERDDAP > griddap > Data Access Form ?

Dataset Title:  Sea Ice Concentration, AMSR2/VIIRS, Arctic, 1km, Blended, UW-CIMSS, 2023-
present, Daily
Subscribe RSS
Institution:  Cooperative Institute for Meteorological Studies, University of Wisconsin at Madison   (Dataset ID: nesdis_blendedsic_nhem_daily)
Information:  Summary ? | License ? | Metadata | Background (external link) | Files | Make a graph
Dimensions ? Start ? Stride ? Stop ?  Size ?    Spacing ?
 time (UTC) ?      189    1 day 2h 25m 32s (uneven)
  < slider >
 cols (meters) ?      9024    1000.0 (even)
  < slider >
 rows (meters) ?      9024    1000.0 (even)
  < slider >
Grid Variables (which always also download all of the dimension variables) 
 IceConc (Sea Ice Concentration, Blended AMSR2 and VIIRS, percent) ?

File type: (more information)

(Documentation / Bypass this form) ?
(Please be patient. It may take a while to get the data.)


The Dataset Attribute Structure (.das) for this Dataset

Attributes {
  time {
    UInt32 _ChunkSizes 524288;
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.7029872e+9, 1.720872e+9;
    String axis "T";
    String coverage_content_type "coordinate";
    String ioos_category "Time";
    String long_name "Time";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  cols {
    UInt32 _ChunkSizes 9024;
    String _CoordinateAxisType "GeoX";
    Int32 actual_range -4512000, 4511000;
    String axis "X";
    String ioos_category "Location";
    String long_name "Projection Grid X Coordinates";
    String standard_name "projection_x_coordinate";
    String units "meters";
  rows {
    UInt32 _ChunkSizes 9024;
    String _CoordinateAxisType "GeoY";
    Int32 actual_range -4512000, 4511000;
    String axis "Y";
    String ioos_category "Location";
    String long_name "Projection Grid Y Coordinates";
    String standard_name "projection_y_coordinate";
    String units "meters";
  IceConc {
    UInt32 _ChunkSizes 4294967295;
    Float32 _FillValue 999.0;
    Float64 colorBarMaximum 100.0;
    Float64 colorBarMinimum 0.0;
    String colorBarPalette "KT_ice";
    String comment "UW-CIMSS Experimental Blended Sea Ice Concentration derived from AMSR2 (NASA TEAM-2) and VIIRS (NDE)";
    String coordinates "time rows cols";
    String coverage_content_type "physicalMeasurement";
    String grid_mapping "crs";
    String ioos_category "Ice Distribution";
    String long_name "Sea Ice Concentration, Blended AMSR2 and VIIRS";
    String standard_name "sea_ice_concentration";
    String units "percent";
    Float32 valid_range 0.0, 100.0;
    String _NCProperties "version=2,netcdf=4.8.1,hdf5=1.10.7";
    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 Conventions "CF-1.6, ACDD-1.3, NOAA CDR v1.0, GDS v2.0, COARDS";
    String creator_email "";
    String creator_name "Richard J. Dworak";
    String creator_type "institution";
    String creator_url "";
    String date_created "2024-07-13";
    String defaultGraphQuery "IceConc[(last)]&.draw=surface";
    String grid_mapping_comment "Data is stored in 1 km EASE2-Grid. Refer to";
    String grid_mapping_epsg_code "6931";
    String grid_mapping_latitude_of_projection_origin "90.0f";
    String grid_mapping_longitude_of_projection_origin "0.0f";
    String grid_mapping_name "lambert_azimuthal_equal_area";
    String grid_mapping_proj4 "+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_proj4_params "+proj=laea +lat_0=90 +lon_0=0 +x_0=0 +y_0=0 +datum=WGS84 +units=m +no_defs +type=crs";
    String grid_mappingearth_radius "6378137.0f";
    String grid_mappingfalse_easting "0.0f";
    String grid_mappingfalse_northing "0.0f";
    String history 
"2024-07-16T10:10:50Z (local files)
    String id "Polar-AMSR2VIIRSBLEND_j01_v01r00_Nhem";
    String infoUrl "";
    String infourl " and";
    String institution "Cooperative Institute for Meteorological Studies, University of Wisconsin at Madison";
    String keywords "Earth Science > Blended Product > Amsr2 > Viirs, Earth Science > Cryosphere > Sea Ice > Sea Ice Concentration";
    String keywords_vocabulary "GCMD Science Keywords";
    String license "These data may be redistributed and used without restriction.";
    String metadata_link "";
    String nameing_authority "";
    String platform "NOAA21 and GCOM-W1";
    String processing_level "L3 Mapped";
    String product_version "v1.0";
    String proj4_string "WGS84";
    String proj_crs_code "EPSG:6931";
    String references "";
    String sensor "Visible Infrared Imaging Radiometer Suite and The Advanced Microwave Scanning Radiometer 2";
    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,(Gauss%E2%80%93Markov%20theorem for more information on method).";
    String time_coverage_duration "P1D";
    String time_coverage_end "2024-07-13T12:00:00Z";
    String time_coverage_resolution "P1D";
    String time_coverage_start "2023-12-19T12:00:00Z";
    String title "Sea Ice Concentration, AMSR2/VIIRS, Arctic, 1km, Blended, UW-CIMSS, 2023-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{?query}
For example,[(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.

ERDDAP, Version 2.24
Disclaimers | Privacy Policy | Contact