I don't care about your incredibly ignorant views on why you think a data set that ended in 2015 is 'more accurate'.
simply because you do not understand the significance / important of independently verified data
it is really too bad for you that you dropped out of high school.
independent verification is scientific confirmation that the satellite data is accurate
You are still acting like a dishonest dipshit.
the are few words to describe your behaviour. none of them are complementary
Find projections for change in the troposphere if that's your metric.
how many times to you need to told?
our climate system is far too complex to predict with any significant degree of confidence
Stop being an asswipe by trying to compare surface temperature projections to troposphere readings.
so use the accurate satellite data set and stop using the inaccurate mess that is the surface data set
Its really stupid and really dishonest.
the greenhouse effect occurs almost entirely in the troposphere
it makes perfect sense to view tropospheric temperature anomaly's
what is very dishonest is insisting on using surface temperature data that you know is
filled with errors
contaminated by the urban island heat effect
incomplete
has been fiddled with
you insist on using flawed data in order to maintain your false narrative and evil propaganda
that is as dishonest as it gets
now learn something from you favourite country Norway
https://www.ssb.no/natur-og-miljo/forurensning-og-klima/artikler/i-hvilken-grad-endrer-temperaturnivaet-seg-pa-grunn-av-klimagassutslipp/_/attachment/inline/5a3f4a9b-3bc3-4988-9579-9fea82944264:f63064594b9225f9d7dc458b0b70a646baec3339/DP1007.pdf
The GCMs have various limitations. First, the effect of increasing CO2 emissions on the climate cannot be evaluated precisely on time scales that are of the order of less than or equal to 100 years. Second, there is a lack of knowledge of the uncertainty which is partly due to the choice of the subscale models and the parameterization and calibration of these, as well as insufficient data. Third, according to some evaluations, GCMs are not sufficiently reliable to distinguish between natural and man-made causes of the temperature increase in the 20th century
GCMs are typically evaluated applying the same observations used to calibrate the model parameters. In an article in Science, Voosen (2016) writes; “Indeed, whether climate scientists like to admit it or not, nearly every model has been calibrated precisely to the 20th century climate records – otherwise it would have ended up in the trash”. Unfortunately, models that match 20th century data as a result of calibration using the same 20th century data are of dubious quality for determining the causes of the 20th century temperature variability.
i.e. climate models are shite
we have summarized recent work on statistical analyses on the ability of the GCMs to track historical temperature data. These studies have demonstrated that the time series of the difference between the global temperature and the corresponding hindcast from the GCMs is non-stationary. Thus, these studies raise serious doubts about whether the GCMs are able to distinguish natural variations in temperatures from variations caused by man-made emissions of CO2.
i.e. climate models are still shite
In other words, our analysis indicates that with the current level of knowledge, it seems impossible to determine how much of the temperature increase is due to emissions of CO2.
the climate models do not stand up to
INDEPENDANT statistical analysis, nor do they represent the atmospheric physics