This was one of the earliest transient climate model experiments and so rightly gets a fair bit of attention when
the reliability of model projections are discussed.
Not exact matches
The recent slowdown in global warming has brought into question the
reliability of climate
model projections of future temperature change and has led to a vigorous debate over whether this slowdown is the result
of naturally occurring, internal variability or forcing external to Earth's climate system.
These results provide quantitative evidence
of the
reliability of water vapor feedback in current climate
models, which is crucial to their use for global warming
projections.
A number
of different observationally based metrics have been used to weight the
reliability of contributing
models when making probabilistic
projections (see Section 10.5.4).
For going on two years now, I've been trying to publish a manuscript that critically assesses the
reliability of climate
model projections.
The fact that the Coupled
Model Intercomparison Project Phase 5 (CMIP5) ensemble mean accurately represents observed global OHC changes [Cheng et al., 2016] is critical for establishing the
reliability of climate
models for long - term climate change
projections.
Here we assess the
reliability of AW in the 21st century climate
projections by 20 climate
models from phase 5
of the Coupled
Model Intercomparison Project (CMIP5).
Moral: The
reliability of computer
model projections are inversely proportional to a.) political pressure and b.) number
of adjustable variables.
It's me needing a better understanding
of hindcasting, but I see that as taking a
model that we point towards the future and use the results from the same
model by pointing it back in history (where we have observable evidence) and use the quality
of hindcasting results to support the presumed
reliability for the forward
projections.
[55] According to the World Climate Report, «Dr. MIchaels» general message was that the recent behavior
of global temperatures is starting to push the (lower) bounds
of climate
models» expectations
of such behavior and that if the current slowdown in the rate
of global warming continues for much longer, we must start to question the
reliability of climate
projections of the future state
of our climate.»
Such solecisms throughout the IPCC's assessment reports (including the insertion, after the scientists had completed their final draft,
of a table in which four decimal points had been right - shifted so as to multiply tenfold the observed contribution
of ice - sheets and glaciers to sea - level rise), combined with a heavy reliance upon computer
models unskilled even in short - term
projection, with initial values
of key variables unmeasurable and unknown, with advancement
of multiple, untestable, non-Popper-falsifiable theories, with a quantitative assignment
of unduly high statistical confidence levels to non-quantitative statements that are ineluctably subject to very large uncertainties, and, above all, with the now - prolonged failure
of TS to rise as predicted (Figures 1, 2), raise questions about the
reliability and hence policy - relevance
of the IPCC's central
projections.