Not exact matches
It looks to me like they mistakenly constrained the
models to start in line with the 1990 value of the smoothed series rather than the actual series,
and the smoothed series value
lies below the 1990
observation.
If you are trying to test the hypothesis that climate
models have not predicted the pause since 1998, then you should be comparing trends between
models and observations, rather than seeing if the observed temperature anomalies
lie within a broad envelope of climate
model simulations.
«It is unlikely that coastal cities or low -
lying areas such as Bangladesh, European lowlands,
and large portions of the United States eastern coast
and northeast China plains could be protected against such large sea level rise,» states a report co-authored by Hansen, titled «Ice Melt, Sea Level Rise
and Superstorms: Evidence from Paleoclimate Data, Climate
Modeling,
and Modern
Observations that 2 °C Global Warming is Highly Dangerous».
If a
model ensemble was perfect such that the true observed climatic variable can be regarded as indistinguishable from a sample of the
model ensemble, then the rank of each
observation lies with equal probability anywhere in the
model ensemble,
and thus the rank histogram should have a uniform distribution (subject to sampling noise).