The UH AMSR2 site provides a very convenient one-click measure of open water in the Arctic Ocean for every day from August 2012 to the present. The first animation below looks at Sept 2012 relative to the minimum (for the month) on Sept 3rd and the melt-season maximum attained on Sept 12th.
The streaming numbers give the percentages of those days relative to those dates, minimum in the middle, maximum on the right. Open water has been mostly shrinking though on some days it increases. Reasons aren't determined by UH but could could include ice compaction, freeze, ridging and so on. The fixed gold line overlay shows the boundary of open water on the 12th.
The second animation takes the difference of each day relative to the 12th. The color scheme goes to 2D as the UH palette consists of 100 blues and whites, so subtraction results in a combinatoric palette, in effect what's called a bivariate chloropleth. Here the fixed open water boundary of the 12th is in light blue. The frame for the 12th is black from subtracting it from itself.
It is slightly more accurate to do the differencing earlier in the pipeline, from grid cells in the netCDF furnished by UH. That can be done in Panoply with the 'Combine Plot' feature that first subtracts the arrays grid cell by grid cell and only then draws the map in the chosen PS projection. (In Gimp, subtraction is done off the final map which is not quite equal area.) A still from grid subtraction is shown at the bottom in a red-blue diverging palette.
The third animation uses ten days of forecast data from RASM-ESRL concerning the
compressive strength of the ice pack. Unsurprisingly, low concentration ice near the periphery is more compressible. While the units of that, newtons per meter, are not so intuitive, they measure how much the ice pack (considered as a viscous plastic) deforms in response to an applied force. These numbers range so widely that a logarithmic scale is more effective as palette animation. An inset shows shape change for the same dates in Hycom.
These animations can be made for any data range by scripting the download of netCDF data from a remote server (Fetch), opening a map in the desired palette and projection and saving out png frames (Panoply JavaScript) and cropping and layering up (Gimp batch). This just pipelines scientific visualization; the actual science went into processing satellite imagery and running the computationally intensive models that end up as the data archives.
The Arctic Ocean alone is the subject of 60-70 daily netCDFs describing the state of various physical parameters. Some of these are redundant, just using different satellites and algorithms for the same basic product, typically on different grids at different resolutions. Others are just input ingredients for models and don't overly concern us at the forums.
Validation of graphical products is complex. The data (like SMOS thin ice) may be more accurate in certain seasons than others; older published validations studies may not be applicable to New Arctic ice. Forecast 'skill' may be higher during stretches of really boring weather (summer 2017?) than during or after major wind events, significant on-edge wave heights, or moisture advection from the sout.
Some products like open water get 'reset' daily by easy-to-interpret satellite data, meaning models can't drift too far away from reality. Others like ice thickness or ice age get only partial resets in the fall as open water freezes to first year ice, allowing errors in older ice to accrue and persist.
Products concerned with long-term consistency and statistical trends are not likely to embrace new satellite technology (eg Sentinels) or integrate new hybrid methods because there's no way to go back to update earlier parts of the satellite record.
Below are three fairly recent studies on Arctic Ocean compressive strength and how it is measured.
Estimating the Sea Ice Compressive Strength from Satellite-Derived Sea Ice Drift and NCEP Reanalysis Data
LB Tremblay et al Nov 2006 free full text
http://journals.ametsoc.org/doi/pdf/10.1175/JPO2954.1+On the mechanical behavior of compacted pack ice : A theoretical and numerical investigation
K Wang dissertation 2007
https://helda.helsinki.fi/handle/10138/23122A younger, thinner Arctic ice cover: Increased potential for rapid, extensive sea-ice loss
JA Maslanik et al Dec 2007 free full text
http://onlinelibrary.wiley.com/doi/10.1029/2007GL032043/full