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Dataset Title:  Ice Cover - 55-year Reanalysis 1957-present Subscribe RSS
Institution:  RSMC, Japan Meteorological Agency   (Dataset ID: RSMC_seaice)
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Make a graph
 
Dimensions ? Start ? Stride ? Stop ?  Size ?    Spacing ?
 time (GRIB reference time, UTC) ?      95201    6h 0m 0s (even)
  < slider >
 timeOffset (Hour) ?      2    3.0 (even)
  < slider >
 latitude (degrees_north) ?      320    -0.561568 (uneven)
  < slider >
 longitude (degrees_east) ?      640    0.5625008 (even)
  < slider >
 
Grid Variables (which always also download all of the dimension variables) 
 Ice_cover_surface (Ice cover @ Ground or water surface, fraction) ?

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 {
    String _CoordinateAxisType "Time";
    Float64 actual_range -3.787128e+8, 1.6776072e+9;
    String axis "T";
    String calendar "proleptic_gregorian";
    String ioos_category "Time";
    String long_name "GRIB reference time";
    String source_name "reftime";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  timeOffset {
    String _CoordinateAxisType "TimeOffset";
    Float64 actual_range 3.0, 6.0;
    String long_name "time offset from runtime";
    String standard_name "forecast_period";
    String udunits "Hour since 1957-12-31T18:00:00Z";
    String units "Hour";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range -89.57009, 89.57009;
    String axis "Y";
    String gaussian_lats "true";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 actual_range 0.0, 359.438;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  Ice_cover_surface {
    Float64 colorBarMaximum 1.0;
    Float64 colorBarMinimum 0.0;
    String description "Ice cover";
    Int32 Grib1_Center 34;
    String Grib1_Interval_Name "Unknown Time Range Indicator -1";
    Int32 Grib1_Interval_Type -1;
    String Grib1_Level_Desc "Ground or water surface";
    Int32 Grib1_Level_Type 1;
    Int32 Grib1_Parameter 91;
    String Grib1_Parameter_Name "ICE_C";
    Int32 Grib1_Subcenter 241;
    Int32 Grib1_TableVersion 200;
    String Grib_Variable_Id "VAR_34-241-200-91_L1";
    String long_name "Ice cover @ Ground or water surface";
    Float32 missing_value NaN;
    String units "fraction";
  }
  NC_GLOBAL {
    String _CoordSysBuilder "ucar.nc2.dataset.conv.CF1Convention";
    String cdm_data_type "Grid";
    String Conventions "CF-1.6, COARDS, ACDD-1.3";
    String creator_name "RSMC, Japan Meteorological Agency";
    String creator_url "https://thredds.rda.ucar.edu/thredds/dodsC/aggregations/g/ds628.0/29/TwoD.html";
    Float64 Easternmost_Easting 359.438;
    String file_format "GRIB-1";
    String Generating_process_or_model "Japanese 55-year Reanalysis (JRA-55)";
    Float64 geospatial_lat_max 89.57009;
    Float64 geospatial_lat_min -89.57009;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 359.438;
    Float64 geospatial_lon_min 0.0;
    Float64 geospatial_lon_resolution 0.5625007824726135;
    String geospatial_lon_units "degrees_east";
    String GRIB_table_version "0,200";
    String grid_mapping__CoordinateAxisTypes "Lat Lon";
    String grid_mapping__CoordinateTransformType "Projection";
    Float64 grid_mapping_earth_radius 6367470.0;
    String grid_mapping_name "latitude_longitude";
    String history 
"Read using CDM IOSP GribCollection v3
2024-12-22T20:20:52Z https://thredds.rda.ucar.edu/thredds/dodsC/aggregations/g/ds628.0/29/TwoD
2024-12-22T20:20:52Z https://erddap.sochic-h2020.eu/erddap/griddap/RSMC_seaice.das";
    String infoUrl "https://thredds.rda.ucar.edu/thredds/dodsC/aggregations/g/ds628.0/29/TwoD.html";
    String institution "RSMC, Japan Meteorological Agency";
    String keywords "agency, cover, data, ds628.0, ground, ice, Ice_cover_surface, japan, latitude, longitude, meteorological, rsmc, surface, thredds.rda.ucar.edu, time, timeoffset, twod, twod.das, water";
    String license "CC-BY 4.0";
    Float64 Northernmost_Northing 89.57009;
    String Originating_or_generating_Center "Tokyo (RSMC), Japan Meteorological Agency";
    String Originating_or_generating_Subcenter "Reanalysis project";
    String sourceUrl "https://thredds.rda.ucar.edu/thredds/dodsC/aggregations/g/ds628.0/29/TwoD";
    Float64 Southernmost_Northing -89.57009;
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary "Ice Cover - 55-year Reanalysis 1957-present, Japan Meteorological Agency data. Daily 3-Hourly and 6-Hourly Data/ Sea Ice Field";
    String time_coverage_end "2023-02-28T18:00:00Z";
    String time_coverage_start "1957-12-31T18:00:00Z";
    String title "Ice Cover - 55-year Reanalysis 1957-present";
    Float64 Westernmost_Easting 0.0;
  }
}

 

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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