Not exact matches
In addition, both
internal variability and aerosol forcing are likely to affect tropical storms in large part though changes in ocean temperature gradients (thereby changing ITCZ position and vertical shear), while greenhouse gases likely exert their
influence by more uniformly changing ocean and tropospheric temperatures, so the physics of the problem may suggest this decomposition as more natural as well.
The IPCC has therefore never tried to predict the climate evolution over 15 years, because that's just too much
influenced by random
internal variability (such as ENSO), which we can not predict (at least as yet).
During a period in which surface warming is stifled
by internal variability the rate of energy accumulation would be
influenced only
by the forcing — there would be no difference between a high - sensitivity model and a zero - feedback model (assuming zero - dimensional models; the reality, with regionally varying temperatures and feedbacks, would be more complex).
We can not rule out the possibility that some of the low - frequency Pacific
variability was a forced response to variable solar intensity and changing teleconnections to higher latitudes that are not simulated
by the models, or that non-climatic processes have
influenced the proxies... the paleodata - model mismatch supports the possibility that unforced, low - frequency
internal climate
variability (that is difficult for models to simulate) was responsible for at least some of the global temperature change of the past millennium.»
«On forced temperature changes,
internal variability, and the AMO» «Tracking the Atlantic Multidecadal Oscillation through the last 8,000 years» «The Atlantic Multidecadal Oscillation as a dominant factor of oceanic
influence on climate» «The role of Atlantic Multi-decadal Oscillation in the global mean temperature
variability» «The North Atlantic Oscillation as a driver of rapid climate change in the Northern Hemisphere» «The Atlanto - Pacific multidecade oscillation and its imprint on the global temperature record» «Imprints of climate forcings in global gridded temperature data» «North Atlantic Multidecadal SST Oscillation: External forcing versus
internal variability» «Forced and
internal twentieth - century SST trends in the North Atlantic» «Interactive comment on «Imprints of climate forcings in global gridded temperature data»
by J. Mikšovský et al.» «Atlantic and Pacific multidecadal oscillations and Northern Hemisphere temperatures»
As you can see, over periods of a few decades, modeled
internal variability does not cause surface temperatures to change
by more than 0.3 °C, and over longer periods, such as the entire 20th Century, its transient warming and cooling
influences tend to average out, and
internal variability does not cause long - term temperature trends.
Due to
internal climate
variability, in any given 15 - year period the observed GMST trend sometimes lies near one end of a model ensemble an effect that is pronounced in Box 9.2, Figure 1a, b since GMST was
influenced by a very strong El Niño event in 1998
Although the PNA pattern is a natural
internal mode of climate
variability, it is also strongly
influenced by the El Niño / Southern Oscillation (ENSO) phenomenon.
«We show that anthropogenic forcing has had a detectable
influence on observed changes in average precipitation within latitudinal bands, and that these changes can not be explained
by internal climate
variability or natural forcing.
Namely whether or not the AO is entirely driven
by internal system
variability or whether there is some solar
influence.
I really want to know if ALL observations can be FULLY accounted for
by internal system
variability with NO
influence from above via solar
variability.
They find large differences between the observed and model correlation structure that can be explained
by accounting for the combined
influences of anthropogenic and solar forcing and
internal variability in the observations.