I've already clearly explained above that one can not diagnose the «AMO» signal directly from the observational record because any attempt to do from
actual surface observations suffers from the trend contamination problem.
Not exact matches
According to that chart of
actual satellite and
surface temperature
observations vs. what was predicted by 90 different climate models, 95 percent of models overestimated... C3: Climate Model — Charts / Graphs C3 Headlines» climate - model - chartsgraphs
When the strength of the additional mechanism is fixed by the requirement that the
surface temperature much end up close to the
actual observations they may end up in adding a strong enough additional forcing to really change the behavior of the Earth system.
Since then there are a number of papers published on why the warming was statistically insignificant including a recent one by Richardson et al. 2016 which tries to explain that the models were projecting a global tas (temperature air
surface) but the
actual observations are a combination of tas (land) and SST oceans, meaning projected warming shouldn't be as much as projected.
Despite being forced to drop their medium assessment down to a a rather low +1.7 °C per century trend, the
actual empirical evidence, from both the land / sea
surface and satellite atmospheric
observations, indicates that the IPCC will again be forced in the future to lower their predictions projections even further.
«The envisaged process includes as its first necessary step the creation, for the first time, of a single comprehensive international databank of the
actual surface meteorological
observations taken globally at monthly, daily and sub-daily resolutions.
Girma is showing you
actual physical
observations (warts and all) of the globally and annually average land and sea
surface temperature anomaly over time.
Since the scaling factor used is based purely on simulations by CMIP5 models, rather than on
observations, the estimate is only valid if those simulations realistically reproduce the spatiotemporal pattern of
actual warming for both SST and near -
surface air temperature (tas), and changes in sea - ice cover.
These
surface networks have had so many changes over time that the number of stations that have been moved, had their time of
observation changed, had equipment changes, maintenance issues, or have been encroached upon by micro site biases and / or UHI using the raw data for all stations on a national scale or even a global scale gives you a result that is no longer representative of the
actual measurements, there is simply too much polluted data.
The process includes as its first necessary step the creation of a single consolidated international databank of the
actual surface meteorological
observations taken globally at monthly, daily and sub-daily resolutions.