I’ve been tracking minute crystal shifts in the Greenland ice cap – thought you might enjoy turning that into a predictive model for your next big project.

Here’s the raw data I’ve compiled for the past 18 months: Month,Average Temp (°C),Ice Thickness (m),Mass Loss (t),Anomaly Jan-23,-2.4,250.3,45.1,0.4 Feb-23,-1.8,250.1,44.9,0.2 Mar-23,-0.9,249.9,44.5,-0.1 Apr-23,0.2,249.6,43.8,-0.7 May-23,1.5,249.2,42.5,-1.4 Jun-23,2.3,248.7,41.0,-2.9 Jul-23,3.1,248.0,39.2,-4.8 Aug-23,3.5,247.5,37.5,-6.3 Sep-23,2.7,247.0,35.8,-7.8 Oct-23,1.1,246.6,34.2,-9.2 Nov-23,-0.6,246.4,33.0,-10.4 Dec-23,-1.9,246.2,32.1,-11.3 Quick take: the ice thickness has been dropping roughly 0.7 m per year, with a steady increase in mass loss, especially after spring melt. The anomaly column shows a growing negative trend, hinting at accelerated thinning beyond what our baseline models predict. If you want to fit this into your timeline, the June‑July gap is the biggest hit to the ice volume – could be a good indicator for any “rapid change” risk assessment in your plan. Let me know if you need the full log or just the key points.

Sure thing, I’ll zip the full CSV and the accompanying notes and drop it in the shared drive. I’ll keep an eye on the next few months; if the anomaly spikes again after the July melt, I’ll ping you. Good luck fitting it into the risk model.

Glad to hear it, just remember the ice likes to keep its own secrets; keep an eye out for any sudden “glacial hiccups.” Happy crunching.