For example, there is
natural multidecadal variability (which has also been discussed on this blog), which is interpreted as unforced.
Your numerous uncited claims seem to be aimed at someone who disputes the existence of
natural multidecadal variability.
Nonetheless, even if the substantial recent trend in the AO pattern is simply a product of
natural multidecadal variability in North Atlantic climate, it underscores the fact that western and southern Greenland is an extremely poor place to look, from a signal vs. noise point of view, for the large - scale polar amplification signature of anthropogenic surface warming.
Nonetheless, even if the substantial recent trend in the AO pattern is simply a product of
natural multidecadal variability in North Atlantic climate, it underscores the fact that western and southern Greenland is an extremely poor place to look, from a signal vs. noise point of view, for the large - scale polar amplification signature of anthropogenic surface warming.
Not exact matches
If you are trying to attribute warming over a short period, e.g. since 1980, detection requires that you explicitly consider the phasing of
multidecadal natural internal
variability during that period (e.g. AMO, PDO), not just the spectra over a long time period.
It presents a significant reinterpretation of the region's recent climate change origins, showing that atmospheric conditions have changed substantially over the last century, that these changes are not likely related to historical anthropogenic and
natural radiative forcing, and that dynamical mechanisms of interannual and
multidecadal temperature
variability can also apply to observed century - long trends.
Specifically, the claim was made that temperatures in Churchill, Manitoba (close to the center of the Western Hudson Bay population of bears) had not risen, and that instead, any
multidecadal variations in temperatures affecting the bears were related to the Arctic Oscillation (AO), a mode of
natural variability.
This is the type of
variability that comes from
natural interactions between the ocean and the atmosphere (i.e., that due to phenomena like the El - Nino / Southern Oscillation or perhaps the Atlantic
Multidecadal Oscillation).
However, this same models fail to reproduce the
natural cyclical
variability of the climate system at many time scales from the decadal to the
multidecadal, secular and millennial scale.
Multidecadal nad multicentennial
natural variability is not rejected yet, not even close.
They do a poor job at simulating the observed modes of
natural internal climate
variability (e.g. the
multidecadal ocean oscillations).
Our results suggest that the decadal AO and
multidecadal LFO drive large amplitude
natural variability in the Arctic making detection of possible long - term trends induced by greenhouse gas warming most difficult.
Moreover, 370 years of tropical cyclone data from the Lesser Antilles (the eastern Caribbean island chain that bisects the main development region for landfalling U.S. hurricanes) show no long - term trend in either power or frequency but a 50 - to 70 - year wave pattern associated with the Atlantic
Multidecadal Oscillation, a mode of
natural climate
variability.
Now forced to explain the warming hiatus, Trenberth has flipped flopped about the PDO's importance writing «One of the things emerging from several lines is that the IPCC has not paid enough attention to
natural variability, on several time scales,» «especially El Niños and La Niñas, the Pacific Ocean phenomena that are not yet captured by climate models, and the longer term Pacific Decadal Oscillation (PDO) and Atlantic
Multidecadal Oscillation (AMO) which have cycle lengths of about 60 years.»
I like to think of the climate as a metronome; the pivot at bottom of the pendulum is the short
multidecadal time scales scientists measure and at the top the weight attached to the pendulum is the longer millenia time scale, as the pendulum is swinging back and forward, climate scientists take measurements from the pivot and try to predict what direction the pendulum is swinging, as the faster moving pivot is a short
multidecadal time scale, this is considered the
natural variability of weather.
Necessary (but not sufficient) for a credible fingerprinting attribution is to understand the fingerprints associated with
natural internal
variability on
multidecadal and longer timescales, which is essentially ignored.
What was done, was to take a large number of models that could not reasonably simulate known patterns of
natural behaviour (such as ENSO, the Pacific Decadal Oscillation, the Atlantic
Multidecadal Oscillation), claim that such models nonetheless accurately depicted
natural internal climate
variability, and use the fact that these models could not replicate the warming episode from the mid seventies through the mid nineties, to argue that forcing was necessary and that the forcing must have been due to man.
iii) Even limiting any warming effect to the ocean skin and air above, it is utterly insignificant compared to
natural variability from events such as El Nino / La Nina or from
multidecadal variations in the levels of solar activity such as those from MWP to LIA to date.
Current GCMs inadequate for simulating
natural internal
variability on
multidecadal time scales.
The removal of the AMO in the determination of the anthropogenic warming trend is justified if one accepts our previous argument that this
multidecadal variability is mostly
natural.
The modes of
natural internal
variability of greatest relevance are the Atlantic modes (AMO, NAO) and the Pacific models (PDO, often referred to as IPO) of
multidecadal climate
variability, with nominal time scales of 60 - 70 + years.
This interest in
natural variability led to an irony: one of Mann's first papers, a collaboration with Jeffrey Park, provided evidence for the existence of a
natural cycle, the Atlantic
Multidecadal Oscillation, or AMO.
Getting these
multidecadal variations correct in the reconstructions would be very valuable in understanding the modes of
natural internal climate
variability, and to what extent such variations might explain 20th century climate
variability.
While individual papers are cited (e.g Schurr and Hasselman, Min and Hense), there is no evidence that I can see in chapter 9 of a systematic treatment of all the forcing, model, and data uncertainties and also the possibility of strong
multidecadal natural internal
variability.
Whereas each model demonstrates some sort of
multidecadal variability (which may or may not be of a reasonable amplitude or associated with the appropriate mechanisms), the ensemble averaging process filters out the simulated
natural internal
variability since there is no temporal synchronization in the simulated chaotic internal oscillations among the different ensemble members.
That leaves the North Atlantic, but it has another mode of
natural variability called the Atlantic
Multidecadal Oscillation...... which is why it doesn't cool between the strong El Niños.
Never mind the fact that those same models were unable to reproduce large scale
natural climate
variability such as the Pacific Decadal Oscillation, the Atlantic
Multidecadal Oscillation and ENSO.