Hi Stephen, I would like to understand your table better could you please explain it in a little more detail.

Hi Tony,

I collect all monthly averages from NSIDC and PIOMAS in four individual spreadsheets. Then I create the plots of area, extent, volume and thickness vs. time.

I then select every data row (one for each month) and apply a linear and a logarithmic function for each of these four values (area, extent, volume and thickness) for every month. Then I calculate when these functions reach zero (the x axis, this is my "BOE number"). These values are then summarized in the big colourful table I present here every month. In addition I add the slope of the linear function into that big table. From this you can see that the slope is much steeper in the summer and autumn months than for the rest of the year.

Every month a new set of values is included into the spreadsheets and then I recalculate the BOE number and compare it to the value I had calculated a year ago. These differences are usually very small (we are in the 42

^{nd} year of satellite observation), but they are not negligible.

In the end once volume disappears in the mid 2020s the other values (area, extent and thickness) also tend to zero. This discrepancy (or mismatch) has been widely discussed in this thread about 2 years ago.

I hope this explanation helps a little. If you have further questions, don't hesitate to ask further questions.

kind regards from Germany Stephan

PS: I am well aware that "BOE" is defined as an area of 1 M km² and not 0 M km² of ice.