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Dataset Title:  Multisensor Analyzed Sea Ice Extent - Northern Hemisphere (MASIE-NH) Subscribe RSS
Institution:  National Snow and Ice Data Center   (Dataset ID: MASIE)
Information:  Summary ? | License ? | Metadata | Background (external link) | Data Access Form
Graph Type:  ?
X Axis:  ?
Y Axis:  ?
Color:  ?
Dimensions ?    Start ?    Stop ?
time (UTC) ?     specify just 1 value →
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y (m) ?
< slider >
x (m) ?
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Graph Settings
Color Bar:   Continuity:   Scale: 
   Minimum:   Maximum:   N Sections: 
Y Axis Minimum:   Maximum:   
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    [The graph you specified. Please be patient.]


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 1.2960828e+9, 1.5741468e+9;
    String axis "T";
    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";
  y {
    String _CoordinateAxisType "GeoY";
    Float64 actual_range -1.2286e+7, 1.2286e+7;
    String ioos_category "Location";
    String long_name "y coordinate of projection";
    String standard_name "projection_y_coordinate";
    String units "m";
  x {
    String _CoordinateAxisType "GeoX";
    Float64 actual_range -1.2286e+7, 1.2286e+7;
    String ioos_category "Location";
    String long_name "x coordinate of projection";
    String standard_name "projection_x_coordinate";
    String units "m";
  sea_ice {
    Byte _FillValue 0;
    String _Unsigned "false";
    Float64 colorBarMaximum 300.0;
    Float64 colorBarMinimum 0.0;
    String grid_mapping "polar_stereographic";
    String ioos_category "Ice Distribution";
    String long_name "Sea Ice";
    Byte missing_value 0;
    String standard_name "sea_ice_area";
    String units "has sea ice";
    Byte valid_range 0, 127;
    String _CoordSysBuilder "ucar.nc2.internal.dataset.conv.CF1Convention";
    String acknowledgment "Following visits in 2009 to NSIDC and NIC by Rear Admiral David Titley, at the time Commander Naval Meteorology and Oceanography Command (CNMOC), the concept for a collaborative MASIE product was developed through further discussions between NIC's Chief Scientist Pablo Clemente-Colón and NSIDC's NOAA Liaison Florence Fetterer. Product development objectives included wider dissemination of information from NIC products and more accurate daily sea ice edge position views for NSIDC's user base. Commander Denise M. Kruse, NIC's Director at the time, endorsed the collaboration that made MAISE possible. Sean Helfrich of NIC leads work on the IMS and helped shaped MASIE development.  The MASIE product team at NSIDC included Matt Savoie for algorithm and code development, Stephen Truex and Ann Windnagel for Web site development, Lisa Ballagh for assistance with shapefiles, and Walter Meier as science advisor.  Funding for MASIE development was provided by NIC and the US Naval Oceanographic Office (NAVO). We are currently seeking funding for its ongoing maintenance and further development. Distribution of the data set from NSIDC is supported by the NOAA@NSIDC Team with funding from NOAA's National Environmental Satellite, Data, and Information Service (NESDIS) and the National Geophysical Data Center (NGDC).";
    String cdm_data_type "Grid";
    String comment "A quality assessment of this product has not been made.";
    String Conventions "CF-1.6, COARDS, Unidata Dataset Discovery v1.0";
    String creator_email "";
    String creator_name "F. Fetterer";
    String creator_url "";
    String date_created "2010-12-14";
    String date_modified "updated daily";
    String GDAL "GDAL 1.9.0, released 2011/12/29";
    String GDAL_TIFFTAG_DATETIME "2011:01:27 08:17:27";
    String GDAL_TIFFTAG_DOCUMENTNAME "/projects/DATASETS/NOAA/G02186/geotiff/ice_only/masie_ice_r00_v01_2011026_4km.tif";
    String GDAL_TIFFTAG_RESOLUTIONUNIT "2 (pixels/inch)";
    String GDAL_TIFFTAG_SOFTWARE "IDL 7.0.1, ITT Visual Information Solutions";
    String history 
"Fri Apr 11 10:12:43 2014: ncap2 --overwrite -s time(:)={360023.0} /mnt/gluster/data/netCDF/masie/processed_working/ /mnt/gluster/data/netCDF/masie/processed_working/
Thu Apr 10 18:30:06 2014: GDAL CreateCopy( /mnt/gluster/data/netCDF/masie/, ... )
2023-03-29T20:33:20Z (local files)
    String infoUrl "";
    String institution "National Snow and Ice Data Center";
    String keywords "analyzed, area, center, cryosphere, data, distribution, Earth Science > Cryosphere > Sea Ice > Ice Extent, Earth Science > Oceans > Sea Ice > Ice Extent, extent, hemisphere, ice, ice distribution, masie, masie-nh, multisensor, national, northern, oceans, sea, sea ice edges, sea ice extent, sea ice growth, sea ice melt, sea_ice_area, snow";
    String keywords_vocabulary "GCMD Science Keywords";
    String license "You may download and use any imagery or text from our Web site, unless it is specifically stated that the information has limitations for its use. Please credit the National Snow and Ice Data Center by citing our data.";
    String Metadata_Convention "Unidata Dataset Discovery v1.0";
    String Metadata_Conventions "CF-1.6, COARDS, Unidata Dataset Discovery v1.0";
    String metadata_link "";
    Int32 nco_openmp_thread_number 1;
    String publisher_name "National Snow and Ice Data Center";
    String publisher_url "";
    String sourceUrl "(local files)";
    String standard_name_vocabulary "CF-1.6";
    String summary "The Multisensor Analyzed Sea Ice Extent – Northern Hemisphere (MASIE-NH) products provide measurements of daily sea ice extent and sea ice edge boundary for the Northern Hemisphere and 16 Arctic regions. The MASIE-NH imagery are provided at a nominal 4 km resolution. The input data comes from the 4 km Interactive Multisensor Snow and Ice Mapping System (IMS) snow and ice product produced by the National Ice Center (NIC). NIC utilizes visible imagery, passive microwave data, and NIC weekly analysis products to create their data product. More data, including MASIE-NH products distributed in a number of formats including ASCII text, GeoTIFF, PNG, shapefiles, and Google Earth files, are available from the MASIE website.";
    String time_coverage_end "2019-11-19T07:00:00Z";
    String time_coverage_start "2011-01-26T23:00:00Z";
    String title "Multisensor Analyzed Sea Ice Extent - Northern Hemisphere (MASIE-NH)";


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.

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