“The fact is that we can’t account for the lack of warming at the moment and it is a travesty that we can’t”
– Kevin Trenberth NCAR 2009
In 2015, satellites showed that the world had cooled since the beginning of the century.
This didn’t suit the agenda, so government scientists declared the “pause” to be invalid.
And Carl Mears at RSS complied by turning the cooling trend into a warming trend.
Rather than changing the data, Carl Mears changed the interpretation of the data. After 2016 he removed the blue error range and used the upper bounds of the error rather than midrange of the error.
Note that after 1998, the observations are likely to be below the simulated values, indicating that the simulation as a whole are predicting too much warming.
He also changed the wording and misspelled satellite.
“Note that after 1998, the observations are likely to be in the lower part of the model distribution, indicating that there is a small discrepancy between the model predictions and the satelllite observations”
I predicted this would happen on March 27, 2015.
Look for the satellite data to be adjusted to bring it into compliance with the fully fraudulent surface temperatures. The Guardian is now working to discredit UAH, so it seems likely that RSS will soon be making big changes – to match the needs of the climate mafia. Bookmark this post.
I made this prediction because Ted Cruz used an RSS graph in a Senate hearing in March of 2015. Carl Mears at RSS then came under intense pressure to make his data match the surface temperature data.
My particular dataset (RSS tropospheric temperatures from MSU/AMSU satellites) show less warming than would be expected when compared to the surface temperatures. All datasets contain errors. In this case, I would trust the surface data a little more because the difference between the long term trends in the various surface datasets (NOAA, NASA GISS, HADCRUT, Berkeley etc) are closer to each other than the long term trends from the different satellite datasets. This suggests that the satellite datasets contain more “structural uncertainty” than the surface dataset.
Roy Spencer at UAH made the same prediction on January 9, 2017
“I expect there will soon be a revised TLT product from RSS which shows enhanced warming, too.
Here’s what I’m predicting:
1) neither John Christy nor I will be asked to review the paper
2) it will quickly sail through peer review (our UAH V6 paper is still not in print nearly 1 year after submission)
3) it will have many authors, including climate model people and the usual model pundits (e.g. Santer), which will supposedly lend legitimacy to the new data adjustments.
Let’s see how many of my 3 predictions come true.