The Sea Ice Index relies on NASA - developed methods to
estimate sea ice conditions using passive - microwave data from the Defense Meteorological Satellite Program (DMSP) the Special Sensor Microwave Imager / Sounder (SSMIS).
Not exact matches
I've noted his work before, but it never hurts to repeat that Andy Lee Robinson has been creating effective animated graphs of
estimated sea ice volume (as distinct from area or extent) that provide a long view of shifting
conditions.
In our 2010 SIO
estimate, it was found that the CFSv2
sea ice extent seemed too excessive (due to too thick
ice in the initial
condition), and the extent confined within 60 cm of
ice thickness matches the real time observation.
The initial
conditions were modified from real time CFSv2 initial
conditions by thinning the
ice pack, similar to what we did in making our 2011 and 2012
sea ice outlook (SIO)
estimate.
Arbetter, 4.7, Statistical A statistical model using regional observations of
sea ice area and global NCEP air temperature,
sea level pressure, and freezing degree day
estimates continues the trend of projecting below - average summer
sea ice conditions for the Arctic.
We interpret the split of 2013 Outlooks above and below the 4.1 level to different interpretations of the guiding physics: those who considered that observed
sea ice extent in 2012 being well below the 4.1 level indicates a shift in arctic
conditions, especially with regard to reduced
sea ice thickness and increased
sea ice mobility; and those who have
estimates above 4.1 who support a return to the longer - term downward trend line (1979 - 2007).
We interpret the split of 2013 Outlooks above and below the 4.1 median to different interpretations of the guiding physics: those who considered that observed
sea ice extent in 2012 being well below the 4.1 level indicates a shift in arctic
conditions, especially with regard to reduced
sea ice thickness and increased
sea ice mobility; and those with
estimates above 4.1 who support a return to the longer - term downward trend line (1979 - 2007).
Sea -
ice age
estimates in spring, showing
conditions during the last week of April in 2009 (upper image) and 2010 (lower image).
Rigor et al. (Polar Science Center, University of Washington); 5.4 Million Square Kilometers; Heuristic This
estimate is based on the prior winter Arctic Oscillation (AO)
conditions, and the spatial distribution of the
sea ice of different ages as
estimated from a Drift - age Model (DM), which combines buoy drift and retrievals of
sea ice drift from satellites (Rigor and Wallace, 2004, updated).
This is substantially lower than the earlier
estimates, reflecting both lower than average
sea ice extent used as initial
conditions this summer and a persistent downward trend in
sea ice extent over the past decade (and longer).
• How can improved
estimates of
sea ice thickness help improve seasonal predictions of
sea ice conditions?
The coupling of IP25 with phytoplankton biomarkers such as brassicasterol or dinosterol proves to be a viable approach to determine (spring / summer)
sea ice conditions as is demonstrated by the good alignment of the PIP25 - based
estimate of the recent
sea ice coverage with satellite observations38.
The second method uses a optimal filtering based statistical model, and the third
estimate is based on regression models relating September
sea ice extent to spring atmospheric and oceanic
conditions.
However, scientists have used historical records of
sea ice conditions to
estimate sea ice extent before 1979.
While several August Outlooks did not change from the July Outlook, forecasts using statistical techniques together with end of July
sea ice conditions tended to show slightly lower
estimates for the September minimum compared to the previous outlook (e.g. Meier et al.; Beitsch et al.; Lukovich et al.; Randles).