ERDDAP at the APDRC
Easier access to scientific data

Make A Graph

Dataset Title:	NOAA/NSIDC Climate Data Record of Passive Microwave Sea Ice Concentration [ygrid][xgrid]
Institution:	NSIDC > National Snow and Ice Data Center (Dataset ID: hawaii_soest_ba5d_1ef3_76ee)
Information:	Summary \| License \| Metadata \| Background \| Data Access Form

To work correctly, this web page requires that JavaScript be enabled in your browser. Please:
1) Enable JavaScript in your browser:
      • Chrome: "Settings : Show advanced settings : Privacy / Content settings : JavaScript"
      • Firefox: (it should be always on!)"
      • Internet Explorer: "Tools : Internet Options : Security : Internet : Custom level :
          Sripting/ Active Scripting : Enable : OK : OK"
      • Opera: "Settings : Websites : JavaScript"
      • Safari: "Safari : Preferences : Security : Enable JavaScript"
2) Reload this web page.

Graph Type:
X Axis:
Y Axis:
Color:

Dimensions

Start

Stop

ygrid (meters)

xgrid (meters)

specify just 1 value →

Graph Settings

Marker Type:

Size:

Color:

Color Bar: Continuity: Scale:

Min: Max: N Sections:

Y Axis Minimum: Maximum:

(Please be patient. It may take a while to get the data.)

Optional:
Then set the File Type: and

or view the URL:
(Documentation / Bypass this form

) (File Type information)

[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:

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 {
  ygrid {
    Float32 actual_range 4337500.0, -3937500.0;
    String axis "Y";
    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 {
    Float32 actual_range -3937500.0, 3937500.0;
    String axis "X";
    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 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 ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
    Float64 valid_range -180.0, 180.0;
  }
  NC_GLOBAL {
    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_program "NOAA Climate Data Record Program";
    String cdr_variable "seaice_conc_monthly_cdr";
    String comment 
"The variable melt_onset_day_seaice_conc_monthly_cdr is not available for this
month.";
    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 "nsidc@nsidc.org";
    String creator_name "NSIDC";
    String creator_type "institution";
    String creator_url "https://nsidc.org/";
    String date_created "2015-09-01T22:30:52Z";
    String history 
"seaice_conc_monthly_sh_f17_201411_v02r00.nc created: 2015-09-01 22:09:52Z by
user: ops using software: @a66fa14b5e170018a3cbf586a64ee6d1045c1d09
2025-02-15T18:53:48Z http://apdrc.soest.hawaii.edu/thredds/dodsC/ncml_aggregation/NSIDC/G02202_v2/south_seaice_monthly.ncml
2025-02-15T18:53:48Z http://apdrc.soest.hawaii.edu/griddap/hawaii_soest_ba5d_1ef3_76ee.das";
    String id "G02202";
    String infoUrl "http://apdrc.soest.hawaii.edu/thredds/dodsC/ncml_aggregation/NSIDC/G02202_v2/south_seaice_monthly.ncml.html";
    String institution "NSIDC > National Snow and Ice Data Center";
    String keywords 
"bellingshausen, center, climate, common, concentration, cryosphere,
CRYOSPHERE > SEA ICE > SEA ICE CONCENTRATION,
data, defense, dmsp, flight, format, geographic,
Geographic Region > Polar,
Geographic Region > Southern Hemisphere,
goddard, gsfc, hemisphere, ice, latitude, longitude, meteorological,
microwave, national, network, noaa, nsidc, ocean,
Ocean > Southern Ocean,
Ocean > Southern Ocean > Bellingshausen Sea,
Ocean > Southern Ocean > Ross Sea,
Ocean > Southern Ocean > Weddell Sea,
passive, polar, program, record, region, remote, remss, ross, satellite, sea,
sensing, snow, southern, space, systems, weddell, xgrid, ygrid";
    String keywords_vocabulary "GCMD Science Keywords";
    String license "No constraints on data access or use";
    String Metadata_Link "http://nsidc.org/api/metadata?id=g02202";
    String naming_authority "nsidc.org";
    String platform "DMSP 5D-3/F17 > Defense Meteorological Satellite Program-F17";
    String processing_level "NOAA Level 3";
    String product_version "v02r00";
    String project "NOAA/NSIDC passive microwave sea ice concentration climate data record";
    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):	15,803-15,814.";
    String sensor "SSMI/S > Special Sensor Microwave Imager/Sounder";
    String software_version_id "@a66fa14b5e170018a3cbf586a64ee6d1045c1d09";
    String source 
"ftp://sidads.colorado.edu/pub/DATASETS/NOAA/G02202_v2/south/daily/2014/seaice_conc_daily_sh_f17_20141101_v02r00.nc,
ftp://sidads.colorado.edu/pub/DATASETS/NOAA/G02202_v2/south/daily/2014/seaice_conc_daily_sh_f17_20141102_v02r00.nc,
ftp://sidads.colorado.edu/pub/DATASETS/NOAA/G02202_v2/south/daily/2014/seaice_conc_daily_sh_f17_20141103_v02r00.nc,
ftp://sidads.colorado.edu/pub/DATASETS/NOAA/G02202_v2/south/daily/2014/seaice_conc_daily_sh_f17_20141104_v02r00.nc,
ftp://sidads.colorado.edu/pub/DATASETS/NOAA/G02202_v2/south/daily/2014/seaice_conc_daily_sh_f17_20141105_v02r00.nc,
ftp://sidads.colorado.edu/pub/DATASETS/NOAA/G02202_v2/south/daily/2014/seaice_conc_daily_sh_f17_20141106_v02r00.nc,
ftp://sidads.colorado.edu/pub/DATASETS/NOAA/G02202_v2/south/daily/2014/seaice_conc_daily_sh_f17_20141107_v02r00.nc,
ftp://sidads.colorado.edu/pub/DATASETS/NOAA/G02202_v2/south/daily/2014/seaice_conc_daily_sh_f17_20141108_v02r00.nc,
ftp://sidads.colorado.edu/pub/DATASETS/NOAA/G02202_v2/south/daily/2014/seaice_conc_daily_sh_f17_20141109_v02r00.nc,
ftp://sidads.colorado.edu/pub/DATASETS/NOAA/G02202_v2/south/daily/2014/seaice_conc_daily_sh_f17_20141110_v02r00.nc,
ftp://sidads.colorado.edu/pub/DATASETS/NOAA/G02202_v2/south/daily/2014/seaice_conc_daily_sh_f17_20141111_v02r00.nc,
ftp://sidads.colorado.edu/pub/DATASETS/NOAA/G02202_v2/south/daily/2014/seaice_conc_daily_sh_f17_20141112_v02r00.nc,
ftp://sidads.colorado.edu/pub/DATASETS/NOAA/G02202_v2/south/daily/2014/seaice_conc_daily_sh_f17_20141113_v02r00.nc,
ftp://sidads.colorado.edu/pub/DATASETS/NOAA/G02202_v2/south/daily/2014/seaice_conc_daily_sh_f17_20141114_v02r00.nc,
ftp://sidads.colorado.edu/pub/DATASETS/NOAA/G02202_v2/south/daily/2014/seaice_conc_daily_sh_f17_20141115_v02r00.nc,
ftp://sidads.colorado.edu/pub/DATASETS/NOAA/G02202_v2/south/daily/2014/seaice_conc_daily_sh_f17_20141116_v02r00.nc,
ftp://sidads.colorado.edu/pub/DATASETS/NOAA/G02202_v2/south/daily/2014/seaice_conc_daily_sh_f17_20141117_v02r00.nc,
ftp://sidads.colorado.edu/pub/DATASETS/NOAA/G02202_v2/south/daily/2014/seaice_conc_daily_sh_f17_20141118_v02r00.nc,
ftp://sidads.colorado.edu/pub/DATASETS/NOAA/G02202_v2/south/daily/2014/seaice_conc_daily_sh_f17_20141119_v02r00.nc,
ftp://sidads.colorado.edu/pub/DATASETS/NOAA/G02202_v2/south/daily/2014/seaice_conc_daily_sh_f17_20141120_v02r00.nc,
ftp://sidads.colorado.edu/pub/DATASETS/NOAA/G02202_v2/south/daily/2014/seaice_conc_daily_sh_f17_20141121_v02r00.nc,
ftp://sidads.colorado.edu/pub/DATASETS/NOAA/G02202_v2/south/daily/2014/seaice_conc_daily_sh_f17_20141122_v02r00.nc,
ftp://sidads.colorado.edu/pub/DATASETS/NOAA/G02202_v2/south/daily/2014/seaice_conc_daily_sh_f17_20141123_v02r00.nc,
ftp://sidads.colorado.edu/pub/DATASETS/NOAA/G02202_v2/south/daily/2014/seaice_conc_daily_sh_f17_20141124_v02r00.nc,
ftp://sidads.colorado.edu/pub/DATASETS/NOAA/G02202_v2/south/daily/2014/seaice_conc_daily_sh_f17_20141125_v02r00.nc,
ftp://sidads.colorado.edu/pub/DATASETS/NOAA/G02202_v2/south/daily/2014/seaice_conc_daily_sh_f17_20141126_v02r00.nc,
ftp://sidads.colorado.edu/pub/DATASETS/NOAA/G02202_v2/south/daily/2014/seaice_conc_daily_sh_f17_20141127_v02r00.nc,
ftp://sidads.colorado.edu/pub/DATASETS/NOAA/G02202_v2/south/daily/2014/seaice_conc_daily_sh_f17_20141128_v02r00.nc,
ftp://sidads.colorado.edu/pub/DATASETS/NOAA/G02202_v2/south/daily/2014/seaice_conc_daily_sh_f17_20141129_v02r00.nc,
ftp://sidads.colorado.edu/pub/DATASETS/NOAA/G02202_v2/south/daily/2014/seaice_conc_daily_sh_f17_20141130_v02r00.nc";
    String sourceUrl "http://apdrc.soest.hawaii.edu/thredds/dodsC/ncml_aggregation/NSIDC/G02202_v2/south_seaice_monthly.ncml";
    String spatial_resolution "25km";
    String standard_name_vocabulary "CF Standard Name Table v29";
    String summary 
"This data set provides a passive microwave sea ice concentration climate data
record (CDR) based on gridded brightness temperatures (TBs) from the Defense
Meteorological Satellite Program (DMSP) series of passive microwave
radiometers: the Special Sensor Microwave Imager (SSM/I) and the Special
Sensor Microwave Imager/Sounder (SSMIS). The sea ice concentration CDR is an
estimate of sea ice concentration that is produced by combining concentration
estimates from two algorithms developed at the NASA Goddard Space Flight
Center (GSFC): the NASA Team algorithm and the Bootstrap algorithm. The
individual algorithms are processed and combined at National Snow and Ice
Data Center (NSIDC) using brightness temperature data from Remote Sensing
Systems, Inc. (RSS).  This product is designed to provide a consistent time
series of sea ice concentrations (the fraction, or percentage, of ocean area
covered by sea ice) from 1987 to the present which spans the coverage of
several passive microwave instruments. The data are gridded on the NSIDC
polar stereographic grid with 25 x 25 km grid cells, and are available in
Network Common Data Format (NetCDF) file format. Each file contains a
variable with the CDR concentration values as well as variables that hold the
input NASA Team and Bootstrap concentrations for reference and a merged NASA
Team/Bootstrap version of the Goddard sea ice concentrations that spans 1978
to the present made available as a longer-term analog of the CDR
concentrations. Variables containing standard deviation, quality flags, and
projection information are also included. Data are available via FTP. (south
seaice monthly)";
    String time_coverage_duration "P1M";
    String time_coverage_resolution "P1M";
    String title 
"NOAA/NSIDC Climate Data Record of Passive Microwave Sea Ice Concentration
[ygrid][xgrid]";
  }
}

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
http://apdrc.soest.hawaii.edu/erddap/griddap/datasetID.fileType{?query}
For example,
http://apdrc.soest.hawaii.edu/erddap/griddap/jplMURSST41.htmlTable?analysed_sst[(2015-06-09T09:00:00Z)][(-89.99):1000:(89.99)][(-179.99):1000:(180.0)]
Thus, the query is often a variable name (e.g., analysed_sst),
followed by a set of [] for each of the variable's dimensions
(for example, [time][latitude][longitude]),
with your desired (start):stride:(stop) values within each [].

For details, see the griddap Documentation.

ERDDAP, Version 1.80
Disclaimers | Privacy Policy | Contact