Because
this large multidecadal variability is not random, but likely recurrent based on its past behavior, it has predictive value.
Not exact matches
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.
Furthermore, since the end of the 19th century, we find an increasing variance in
multidecadal hydroclimatic winter and spring, and this coincides with an increase in the
multidecadal North Atlantic Oscillation (NAO)
variability, suggesting a significant influence of
large - scale atmospheric circulation patterns.
In their paper Decadal Variations in the Global Atmospheric Land Temperatures, they find that the
largest contributor to global average temperature
variability on short (2 - 5 year) timescales in not the El Nino - Southern Oscillation (ENSO)(as everyone else believes), but is actually the Atlantic
Multidecadal Oscillation (AMO).
The AWP
multidecadal variability coincides with the signal of the AMO; that is, the warm (cool) phases of the AMO are characterized by repeated
large (small) AWPs.
Patterns of
variability that don't match the predicted fingerprints from the examined drivers (the «residuals») can be
large — especially on short - time scales, and look in most cases like the modes of internal
variability that we've been used to; ENSO / PDO, the North Atlantic
multidecadal oscillation etc..
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.
In panel - b the magnitude of unforced
variability is
large (wide range between the blue lines) and thus changes in the
multidecadal rate of warming could come about due to unforced
variability.
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.
The results obtained from the five Coupled Global Climate Model, version 3, (CGCM3)- driven CRCM runs are similar, suggesting that the
multidecadal internal
variability is not a
large source of uncertainty for the Peace River basin.
Multi-decadal oscillations plus trend hypothesis: 20th century climate
variability / change is explained by the
large multidecadal oscillations (e.g NAO, PDO, AMO) with a superimposed trend of external forcing (AGW warming).
Decadal
variability is described via
large - scale patterns found in the atmosphere and ocean, which oscillate at decadal timescales and are concentrated in specific regions (e.g., Pacific Decadal Oscillation, Atlantic
Multidecadal Oscillation, Arctic and Antarctic Oscillations).
Given that the past 30 — 50 years is a relatively short period for evaluating long - term trends, the SST trends themselves could be viewed as a manifestation of
large - scale modes of
multidecadal Pacific
variability (e.g. Zhang et al. 1997; Deser et al. 2004) or as part of the century scale positive SST trends associated with climate change (e.g. Deser et al. 2010); it is likely that both
multidecadal climate
variability and climate change have contributed to the SST trend pattern evident in Fig. 9 and used to force the model.
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.
Analyses of global climate from measurements dating back to the nineteenth century show an «Atlantic
Multidecadal Oscillation» (AMO) as a leading large - scale pattern of multidecadal variability in surface
Multidecadal Oscillation» (AMO) as a leading
large - scale pattern of
multidecadal variability in surface
multidecadal variability in surface temperature.
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.