Interestingly, many, many lead climate scientists have stated that the Great Pause was, in fact, happening. But, it proves inconvenient for the Cult of Climastrology. Hence, they have come up with well over 70 excuses for it. Now we get this
NOAA challenged the global warming ‘pause.’ Now new research says the agency was right
It may have been the most controversial climate change study in years.
In the summer of 2015, a team of federal scientists at the National Oceanic and Atmospheric Administration published a blockbuster paper in Science that appeared to wipe away one of global warming doubters’ favorite arguments. The skeptics had for years suggested that following the then-record warm year of 1998 and throughout the beginning of the 21st century, global warming had slowed down or “paused.â€Â But the 2015 paper, led by NOAA’s Thomas Karl, employed an update to the agency’s influential temperature dataset, and in particular to its record of the planet’s ocean temperatures, to suggest that really, the recent period was perfectly consistent with the much longer warming trend. (snip)
That controversy is likely to be stirred anew in the wake of a new study, published Wednesday in Science Advances, that finds the NOAA scientists did the right thing in adjusting their dataset. In particular, the new research suggests that the NOAA scientists correctly adjusted their record of ocean temperatures in light of known biases in some observing systems — and indeed, that keepers of other top global temperature datasets should do likewise.
Essentially, what they did was create data out of nowhere adjust the ocean data upwards quite a bit to conform to their preconceived beliefs while leaving the land data alone. In essence, it was the “oceans ate my warming” argument on steroids.
This highly technical switch, in turn, had the effect of increasing the overall warming of the oceans in the new dataset — and helping to wipe out claims that there’d been any recent slowdown in the rate of climate change.
I remember reading about this in grade school science. If the data doesn’t conform to the hypothesis, then the data is wrong, and must be changed.
