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

ERDDAP > griddap > Make A Graph ?

Dataset Title:  Sea Ice Concentration Lat-Lon Grid, NOAA/NSIDC Climate Data Record, Southern
Hemisphere, 25km
Subscribe RSS
Institution:  NSIDC > National Snow and Ice Data Center, NOAA   (Dataset ID: nsidcCDRice_sh_grid)
Information:  Summary ? | License ? | Metadata | Background (external link) | Data Access Form | Files
Graph Type:  ?
X Axis:  ?
Y Axis:  ?
Color:  ?
Dimensions ?    Start ?    Stop ?
ygrid (meters) ?
    - >|
< slider >
xgrid (meters) ?     specify just 1 value →
    |< -
< <
Graph Settings
Marker Type:   Size: 
Color Bar:   Continuity:   Scale: 
   Minimum:   Maximum:   N Sections: 
Y Axis Minimum:   Maximum:   
(Please be patient. It may take a while to get the data.)
Then set the File Type: (File Type information)
or view the URL:
(Documentation / Bypass this form ? )
    X range:           
[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 {
  ygrid {
    String _CoordinateAxisType "GeoY";
    Float32 actual_range -3937500.0, 4337500.0;
    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 -3950000.0, 4350000.0;
  xgrid {
    String _CoordinateAxisType "GeoX";
    Float32 actual_range -3937500.0, 3937500.0;
    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 -3950000.0, 3950000.0;
  latitude {
    Float64 _FillValue -999.0;
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String comment "These are latitude coordinate values which correspond to ygrid projected coordinate dimension values";
    String coverage_content_type "coordinate";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
    Float64 valid_range -90.0, 0.0;
  longitude {
    Float64 _FillValue -999.0;
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String comment "These are longitude coordinate values which correspond to xgrid projected coordinate dimension values";
    String coverage_content_type "coordinate";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
    Float64 valid_range -180.0, 180.0;
    String _NCProperties "version=2,netcdf=4.6.3,hdf5=1.10.5";
    String acknowledgement "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 "";
    String creator_name "NSIDC";
    String creator_type "institution";
    String creator_url "";
    String date_created "2017-11-29T21:53:46Z";
    Float64 false_easting 0.0;
    Float64 false_northing 0.0;
    String GeoTransform "-3950000.0 25000.0 0 4350000.0 0 25000.0";
    Float64 grid_boundary_bottom_projected_y -3950000.0;
    Float64 grid_boundary_left_projected_x -3950000.0;
    Float64 grid_boundary_right_projected_x 3950000.0;
    Float64 grid_boundary_top_projected_y 4350000.0;
    String grid_mapping_name "polar_stereographic";
    String history 
"Fri Jan 24 04:07:45 2020: ncks -v latitude,longitude
2017-07-03T15:07:45Z: Data file created using software: /n 2018-05-22T15:15:15: Additional metadata was added. Timestamp was converted to seconds since 1970-01-01T00:00:00Z.
    String id "G02202";
    String infoUrl "";
    String institution "NSIDC > National Snow and Ice Data Center, NOAA";
    String keywords "antarctic, bellingshausen, climate, cryosphere, earth, Earth Science > Cryosphere > Sea Ice > Sea Ice Concentration, geographic, Geographic Region > Polar, Geographic Region > Southern Hemisphere, hemisphere, ice, latitude, longitude, microwave, national, noaa, nsidc, ocean, Ocean > Southern Ocean, Ocean > Southern Ocean > Bellingshausen Sea, Ocean > Southern Ocean > Ross Sea, Ocean > Southern Ocean > Weddell Sea, passive, polar, ross, sea, snow, southern, weddell";
    String keywords_vocabulary "GCMD Science Keywords";
    Float64 latitude_of_projection_origin -90.0;
    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:";
    Float64 longitude_of_projection_origin 0.0;
    String Metadata_Link "";
    String naming_authority "";
    String NCO "netCDF Operators version 4.7.9 (Homepage =, Code =";
    Float64 parent_grid_cell_column_subset_end 316.0;
    Float64 parent_grid_cell_column_subset_start 0.0;
    Float64 parent_grid_cell_row_subset_end 332.0;
    Float64 parent_grid_cell_row_subset_start 0.0;
    String platform "DMSP 5D-3/F17 > Defense Meteorological Satellite Program-F17";
    String processing_level "NOAA Level 3";
    String product_version "v03r01";
    String program "NOAA Climate Data Record Program";
    String proj4text "+proj=stere +lat_0=-90 +lat_ts=-70 +lon_0=0 +k=1 +x_0=0 +y_0=0 +a=6378273 +b=6356889.449 +units=m +no_defs";
    String proj_units "meters";
    String project "NOAA/NSIDC passive microwave sea ice concentration climate data record";
    String projection "EPSG:3411,";
    String publisher_email "";
    String publisher_name "NOAA NMFS SWFSC ERD";
    String publisher_type "institution";
    String publisher_url "";
    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.";
    Float64 scaling_factor 1.0;
    Float64 semimajor_radius 6378273.0;
    Float64 semiminor_radius 6356889.449;
    String sensor "SSMI/S > Special Sensor Microwave Imager/Sounder";
    String software_version_id "";
    String source " Satellite observations";
    String sourceUrl "";
    String spatial_ref "PROJCS[\"NSIDC Sea Ice Polar Stereographic South\",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\",0],PARAMETER[\"scale_factor\",1],PARAMETER[\"false_easting\",0],PARAMETER[\"false_northing\",0],AUTHORITY[\"EPSG\",\"3412\"],AXIS[\"X\",UNKNOWN],AXIS[\"Y\",UNKNOWN]]";
    String spatial_resolution "25km";
    String srid "urn:ogc:def:crs:EPSG::3412";
    String standard_name_vocabulary "CF Standard Name Table v29";
    Float64 standard_parallel -70.0;
    Float64 straight_vertical_longitude_from_pole 180.0;
    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_resolution "P1D";
    String title "Sea Ice Concentration Lat-Lon Grid, NOAA/NSIDC Climate Data Record, Southern Hemisphere, 25km";


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