Sentences with phrase «more decadal scale»

2) Most work since 1998 shows more decadal scale variance but is broadly in line with Mann et al. (see above)

Not exact matches

So apparently you're suggesting that decadal - scale precipitation patterns (more, less rainfall) and temperature changes are better explained by atmospheric CO2 concentrations.

Ice - sheet responses to decadal - scale ocean forcing appear to be less important, possibly indicating that the future response of the Antarctic Ice Sheet will be governed more by long - term anthropogenic warming combined with multi-centennial natural variability than by annual or decadal climate oscillations.»

# 8220; This multi-year Pacific Decadal Oscillation «cool» trend can intensify La Niña or diminish El Niño impacts around the Pacific basin,» said Bill Patzert, an oceanographer and climatologist at NASA's Jet Propulsion Laboratory, Pasadena, Calif. «The persistence of this large - scale pattern [in 2008] tells us there is much more than an isolated La Niña occurring in the Pacific Ocean.»

At the same time they are real at least in as much as they are measurable by wide scale (beyond the local), sustained (more than decadal) physical, economic and social yardsticks (real people suffered due to the LIA).

Risk: E.g., if SL rises on a 5 - year doubling as has been hypothesized by Hansen, et al. as possible, and reinforced by the recent SLR analysis of corals off the Texas coast where SLR rose 1.5 or more meters on decadal scales...?

As we get better models, the realism and structure of those wiggles will likely become more realistic — but in the end they define the limits to what we will be able to predict at regional / decadal scales.

This is important because * if * resources were more abundant and * if * climate change were happening more slowly and * if * climate could not possibly change multiple degrees and multiple meters of SLR on decadal time scales, my solution set would be vastly different.

Concerning climate - change forecasting, we can not expect that increased computer power and improved climate models will in the future «give more precise probability distributions of outcomes at the regional and decadal scales».

``... My comments quoted above refer very specifically to the potential for global models to give more precise probability distributions of outcomes at the regional and decadal scales which are dominated by intrinsic interannual and interdecadal variability.»

However, my comments quoted above refer very specifically to the potential for global models to give more precise probability distributions of outcomes at the regional and decadal scales which are dominated by intrinsic interannual and interdecadal variability.

So if there were, say, a decadal - scale 1 % -2 % reduction in cloud cover that allowed more SW radiation to penetrate into the ocean (as has been observed since the 1980s), do you think this would have an impact of greater magnitude on the heat in the oceans than a change of, say, +10 ppm (0.00001) in the atmospheric CO2 concentration?

There has been a recent emphasis in decadal - scale prediction, and also creating a marriage between climate and fields such as synoptic - dynamic meteorology... something relatively new (and a different sort of problem, than say, estimating the boundary condition change in a 2xCO2 world); as Susan Solomon mentioned in her writing, a lot of people have become much more focused on the nature of the «noise» inherent within the climate system, something which also relates to Kevin Trenberth's remarks about tracking Earth's energy budget carefully.

Decadal - scale variations are much more prominent for the European than for the global domain.

The influence of large - scale climate modes of variability (the Pacific Decadal Oscillation (PDO) and the El Niño - Southern Oscillation (ENSO)-RRB- on APF magnitude is also assessed, and placed in context with these more localized controls.

Also notice that far more conspicuous rises and falls in temperatures in decadal and centennial scale occurred during the Holocene than now.

Spectral analysis shows the below - average epochs are associated with enhanced ENSO - like variability around 2 — 5 yr, while the above - average epoch is associated more with variability around 6 — 7 yr... While the correlation displays decadal - scale variability similar to changes in the interdecadal Pacific oscillation...» Vance et al 2012

In terms of longer timescales (decadal to century), once the focus becomes regional rather than global, historical and paleo data becomes more useful than global climate model simulations (no matter what type of «right - scaling» methods are attempted).

Testing an astronomically based decadal - scale empirical harmonic climate model versus the IPCC (2007) general circulation climate models, 12/2011; read more here.

The time lag of 20, 30, or more years includes many more complex physics, as you point out, but the salient point is that there is a decadal - scale time lag between what we do and when when see the effect, and for my intented audience, that is already news.

To say it is foolish to think ACO2 dominates the climate on decadal scales is more correct IMO than to think foolish on the centennial.

I will also add this that looks at seasonal temperatures on a more fine - grained decadal scale than the one you linked.

The Arctic Oscillation was fairly stable until about 1970, but then varied on more or less decadal time scales, with signs of an underlying upward trend, until the late 1990s, when it again stabilized.

The CET data for the period indicate a distinct climate shift of some 0.35 degrees centigrade on a 50 year basis, but rather more on a decadal basis, so that well documented era can usefully be our benchmark for temperature comparisons, whilst demonstrating the usefulness of a decadal time scale in determining a change in the climate that is «noticeable» and has an impact on humans and nature.

Different approaches have been used to compute the mean rate of 20th century global mean sea level (GMSL) rise from the available tide gauge data: computing average rates from only very long, nearly continuous records; using more numerous but shorter records and filters to separate nonlinear trends from decadal - scale quasi-periodic variability; neural network methods; computing regional sea level for specific basins then averaging; or projecting tide gauge records onto empirical orthogonal functions (EOFs) computed from modern altimetry or EOFs from ocean models.

What is more, she is trying to claim the models are wrong period by using data on a decadal time frame (full well knowing that they struggle on such time scales), but at the same time is informing CFAN clients that they can provide forecasts on a decadal time scale.

We also find that H is predicted with significantly more skill by DePreSys than by NoAssim (Fig. 1B), and we conclude that the improvement of DePreSys over NoAssim in predicting Ts on interannual - to - decadal time scales results mainly from initializing upper ocean heat content.