- Thread starter
- #201
Funny thing about this "fingerprint science" for which NO COURSES are taught in universities - it would show only "ice losses" -- but NEVER "ice gains".
See below about gains. As to their being no courses taught: this is fucking brand new research. If it were taught in university, there wouldn't have been much need for the research. I don't know what to say, dude. That's a bit lame.
When, exactly, since the dawn of satellite observations, has Greenland gained ice?So the Greenland ice could LOSE and GAIN every 3rd year -- and it never would be accounted for.
And the idea of fitting ONE (fairly) linear process to another linear process is iffy at best. It's NOT proof of causation. Bet I'll concede that Greenland ice loss HAS raised sea levels and they would REMAIN RAISED even if Greenland doubled in ice next decade.
![arctic.noaa.gov](https://arctic.noaa.gov/wp-content/uploads/2023/04/img-ARC19_Greenland_tedesco_Fig1.png)
Greenland Ice Sheet - NOAA Arctic
The Greenland ice sheet sits atop the largest island in the world and, as the second largest ice sheet on the Earth, contains the equivalent of roughly 7.4 m of global mean sea level rise. While the ice sheet was likely in balance (i.e., ice mass gain was balancing ice mass loss) during the...
![arctic.noaa.gov](https://arctic.noaa.gov/wp-content/uploads/2023/01/NOAA_FavIcon.png)
And where does this study indicate that it would not be able to detect sea level decline had it taken place?
Abstract
Rapid melting of ice sheets and glaciers drives a unique geometry, or fingerprint, of sea level change. However, the detection of individual fingerprints has been challenging because of sparse observations at high latitudes and the difficulty of disentangling ocean dynamic variability from the signal. We predict the fingerprint of Greenland Ice Sheet (GrIS) melt using recent ice mass loss estimates from radar altimetry data and model reconstructions of nearby glaciers and compare this prediction to an independent, altimetry-derived sea surface height trend corrected for ocean dynamic variability in the region adjacent to the ice sheet. A statistically significant correlation between the two fields (P < 0.001) provides an unambiguous observational detection of the near-field sea level fingerprint of recent GrIS melting in our warming world.
Last edited: