Sea Ice Information

Robert Rabin

NOAA/NSSL and UW-Madison/CIMSS


ICE MAPPING FROM SCATTEROMETER

The following animations give a qualitative indication of ice movement in the arctic oceans. 

June 2012-May 2013 (5 day intervals)
from the Advanced Scatterometer aboard METOP-A (ASCAT)
Northern Hemisphere
Alaska
Jan-Dec 2013 (5 day intervals)
from the Advanced Scatterometer aboard METOP-A (ASCAT)
Northern Hemisphere

From the QuikSCAT (NASA) scatterometer:

21 February - 16 March 2006

01-16 June 2005 

The animations1 are produced by combining daily composite GIF images of backscattered radar signal (vertical polarization) measured from space with data from scatterometers.  Originally developed to measure surface winds over the ocean surface, the backscattered radar signal is also related to surface ice roughness, wetness and other conditions.  Unlike visible and infrared imagery from satellite, the scatterometer signal is essentially uneffected by clouds in the Arctic. Individual ASCAT images archived at NESDIS may be viewed here (courtesy of Dr. Paul Chang, NOAA/NESDIS). The QuikSCAT mission ended in 2009.

The effective resolution of these images is about 5km.  The brightness in the images is related to the measured backscattered signal, which is a function of ice roughness (on a scale of cm to m) and the electrical dielectric constant.  The latter is dominated by wetness.  Dark areas are likely open water2.  To an approximation, brightness is a measure of ice age.  New ice is darker, multi-year ice tends to be brighter.  However, melting ice (or water covered ice) will appear dark despite its age.  Freshly formed ice can sometimes appear bright, but then fade with time.

In the recent (winter 2006) animations, there appear to be episodes of large areas of ice breaking away from fast ice near the Siberian coast (likely wind forcing) and new ice forming in the linearly extended leads.  This behavior has been observed and verified to occur in the Antarctic (David Long, personal communication).  In most cases, the apparent movement of brightness (roughness) features is probably indicative of actual ice movement (if the roughness properties change slowly between images).   An exception to this can be where melting or freezing occurs and there are widespread changes in brightness as compared to that explained by ice movement.   

1The Animations Applet (AniS) used for interactive animations were developed by Tom Whittaker of the Space Science and Engineering Center  SSEC, University of Wisconsin-Madison.  The animations can take a while to load, depending on network speed, computer systems, etc. Also, there can be a problem viewing these on certain machines (Macs).

2Data is unavailable in the area centered on the North Pole which also appears in black.

References:

Long, D.G., and M.R. Drinkwater, 1999. "Cryosphere Applications of NSCAT Data, IEEE Transactions Geoscience and Remote Sensing", 37 (3), 1671-1684. Remund, Q.P., and D.G. Long, 1999 . "Sea Ice Extent Mapping Using Ku-Band Scatterometer Data", Journal of Geophysical Research, 104 (C5), 11515-11527.

J. Haarpainter, R.T. Tonboe, D.G. Long and M. L. VanWoert, "Automatic Detection and Validity of the Sea Ice Edge: An Application of Enhanced Resolution QuikScat/SeaWinds Data," IEEE Transactions on Geoscience and Remote Sensing, Vol. 42, No. 7, pp. 1433-1443, 2004.

Links:

Science grade data is available from: http://www.scp.byu.edu

Operational near real-time images are available from: http://science.natice.noaa.gov/quickstaticemask.htm and http://manati.orbit.nesdis.noaa.gov/cgi-bin/qscat_ice.pl


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 SOME ESTIMATES OF ICE COVER from PASSIVE MICROWAVE INSTRUMENTS

The following maps of sea ice concentration were downloaded from the National Snow and Ice Data Center (NSIDC) in Boulder, Colorado.  Proper credit should be given to the authors listed below when citing these data.  Data is derived from passive microwave instruments (SSM/I) on the polar orbiting DMSP satellites.  These are based on algorithms which relate the measured microwave radiation to coverage of surface ice.  Owing to the limited resolution of the microwave radiometers (as compared to visible or infrared), the resolution of these analyses is on the order of 25-50km.  The advantage of the microwave is that the estimates are available in most cloudy conditions. This is not possible with visible and infrared observations. Note also that no observations are available from these satellites in vicinity of the pole.




Daily Products

Ref:
Cavalieri, D., P. Gloerson, and J. Zwally. 1999, updated daily. Near real-time DMSP SSM/I daily polar gridded sea ice concentrations, January to March 2004. Edited by J. Maslanik and J. Stroeve. Boulder, CO: National Snow and Ice Data Center. Digital media. Click for link

01 July 2004
15 July 2004
01 Aug 2004
15 Aug 2004
01 Sep 2004

Monthly Products

For the Bootstrap algorithm:
Comiso, J. 1990, updated current year. DMSP SSM/I daily polar gridded sea ice concentrations, June to September 2001. Edited by J. Maslanik and J. Stroeve. Boulder, CO: National Snow and Ice Data Center. Digital media.

For the NASA Team algorithm:
Cavalieri, D., P. Gloerson, and J. Zwally. 1990, updated current year. DMSP SSM/I daily polar gridded sea ice concentrations, June to September 2001. Edited by J. Maslanik and J. Stroeve. Boulder, CO: National Snow and Ice Data Center. Digital media. Click for link
Apr 2004
May 2004
Jun 2004

Monthly Means (1979-2002)

Stroeve, J., and W. Meier. 1999, updated current year. Sea Ice Trends and Climatologies from SMMR and SSM/I, June to September 2001. Boulder, CO: National Snow and Ice Data Center. Digital media. Click for link
Apr
May
Jun
Jul
Aug
Sep

 

 







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