iii) You need to smooth the solar cycles not just the sunspot numbers but it isn't a long enough period anyway because of the disruptive effects of the lesser solar and oceanic cycles and
natural chaotic variability.
Specifically «While
natural chaotic variability remains a component of mid-latitude atmospheric variability, recent loss of Arctic sea ice, with its signature on mid-latitude atmospheric circulation, may load the dice in favor of snowier conditions in large parts of northern mid-latitudes.»
Not exact matches
But, on the basis of studies of nonlinear
chaotic models with preferred states or «regimes», it has been argued, that the spatial patterns of the response to anthropogenic forcing may in fact project principally onto modes of
natural climate
variability.
Averaging smoothes out day - to - day and year - to - year
natural weather
variability and extremes, removing much of the
chaotic behavior, revealing any underlying long term trends in climate, such as a long term increase or decrease in temperature, or long term shifts in precipitation patterns.
I still do not correctly understand how the calculation of CO2 sensitivity in past or present climates can be independant from the estimation of the other forcings related to temperature trends (and from
natural /
chaotic variability).
variability a reconstruction shows, the higher sensitivity to
natural forcings and / or the higher
natural —
chaotic climate
variability we should expect.
Within the circular logic of
natural variability being internal and
chaotic, yes.
How can you postulate a cause for warming if it isn't known that it is or is not
natural variability or that the recent increase was anything more than a consequence of
chaotic influences?
Natural variability is always present in
chaotic systems and will lead to a «wiggly» path forward, and this the models are always wrong in getting the exact path correct, but we can have a high degree of confidence in the overall dynamics.
The fact that there has on any basis been little further warming over the course of the last 10 to 15 years over and above that which had already occured by the mid / late 19902 suggests that recent extreme weather events are not the consequence of additional warming (there having been all but none these past 15 years) and therefore must be due to
natural variability of weather events in an ever changing and
chaotic world in which we live.
Human CO2 emissions have nothing to do with this extreme
variability - it is a
natural phenomenon that is
chaotic, totally unpredictable and unstoppable.
As where Marcott et al went wrong as climate scientists, when they used paleoclimate data of long millenia time scales in
natural variability, with the short decadal time scale (weather) in
natural variability and claim to predict the future of where the pendulum of climatology will be in the future, when actually showing that they are confused, what they are representing as evidence of the future climate is in fact their total misunderstanding of climatology and the complex
chaotic circumstances that influence the real world.
However since such chaos - based
variability can not be explicitly modeled, one can not be certain that recent warming is
natural -
chaotic however much it might resemble climate behaviour in past times.
In the same way, human evolution, which includes land use and CO2 emission, is inextricably intertwined with the
natural climatic evolution and all of its
chaotic variability.
The climate is
chaotic, nudged over the long - term by specific unique combinations for forcing, with a lot of wiggly
natural variability «noise» over the shorter time frames.
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.
Forced
variability results from boundary conditions, such as sea - surface temperatures, and
natural or internal
variability results from the
chaotic nature of dynamical systems1, 2.