Sentences with phrase «climate over a timescale»

-- simulating the events from 1900 up to now — simulating the events from 100.000 years ago up to the start of the industrial revolution — simulating the climate over a timescale of several hundred million years

All of the ocean oscillations (ENSO, AMO, PDO, etc) have a big impact on climate over timescales that range from a year to a few decades.

Not exact matches

«Untangling the role of climate on sediment and reef evolution over millennial timescales: Great Barrier Reef case study estimates evolution over the past 14,000 years.»

This means that the ratio between the extremes in the climate over different time periods behaves like the ratio between the more normal ratios of different timescales,» explains Peter Ditlevsen

«Additionally, over a longer timescale, by keeping close connection between astrophysicists and climate researchers, this programme will aid in the understanding of our own changing climate.»

«Different gases have widely different lifetimes in the atmosphere after emission and affect the climate in different ways over widely different timescales,» said co-author Michael Oppenheimer, the Albert G. Milbank Professor of Geosciences and International Affairs, Woodrow Wilson School of Public and International Affairs and the Department of Geosciences at Princeton University.

«It helps us understand spatial patterns of climate change and the timescales over which these consequences are relevant.»

Ice core records are rich archives of the climate history during glacial - interglacial cycles over timescales of up to ~ 800 kyr before the current age.

This is due to the fact that it has the strongest potential to warm the globe in the long - run based on its long lifetime in the atmosphere (ranging from decades to centuries, and a tail end that extends to millennia, and with many climate impacts occurring over these slow timescales).

Climate scientists would say in response that changes in ocean circulation can't sustain a net change in global temperature over such a long period (ENSO for example might raise or lower global temperature on a timescale of one or two years, but over decades there would be roughly zero net change).

Climate impacts research is in its infancy compared to science on the physical climate, for a number of reasons: attributing cause and effect isn't easy; neither is collecting data over timescales and regions long and large enough such that it's possible to draw any meaningful trends from their anClimate impacts research is in its infancy compared to science on the physical climate, for a number of reasons: attributing cause and effect isn't easy; neither is collecting data over timescales and regions long and large enough such that it's possible to draw any meaningful trends from their anclimate, for a number of reasons: attributing cause and effect isn't easy; neither is collecting data over timescales and regions long and large enough such that it's possible to draw any meaningful trends from their analysis.

Physical geography should concentrate on geological timescales and plate tectonics and the change in climate over the years, from the Ice Age to the present day.

For the most part, I've not seen much evidence to suggest that internal variations alone can bring the climate to a new state on decadal timescales, even if the internal fluctuations do not completely average out over decades (e.g.,, the PDO being in a positive phase more than a negative phase during the timescale of consideration).

(I take comfort in the fact that no one else can either) Even if I understood completely and could hypothesise the effect of the huge number of factors and correlations and feedback mechanisms that drive the climate I would not have accurate measurements over any significant timescale to prove this.

Re # 8, any changes in climate over glacial - interglacial timescales have to take into account an additional component: the biogeochemical cycling of atmospheric gases.

This is something seen in many observations and over many timescales, and is not something to climate models.

In all of the fevered recent discussions over next steps for climate legislation, I haven't heard anyone put forward a template for a bill that would lock in a carbon pricing path coming anywhere close to $ 60 to $ 95 a ton on a timescale that would make the technology globally competitive in time to blunt the burst of emissions coming by 2030 in China and India.

It appears that Ghil, and others specifically warn against the use of MEM and temperature data: «Instrumental temperature data over the last few centuries do not seem, for instance, to determine sufficiently well the behavior of global or local temperatures to permit a reliable climate forecast on the decadal timescale by this SSA - MEM method.»

Again, it is one event because we call it so, but now it is stretching into a timescale over which climate is measured.

Over very long time periods such that the carbon cycle is in equilibrium with the climate, one gets a sensitivity to global temperature of about 20 ppm CO2 / deg C, or 75 ppb CH4 / deg C. On shorter timescales, the sensitivity for CO2 must be less (since there is no time for the deep ocean to come into balance), and variations over the last 1000 years or so (which are less than 10 ppm), indicate that even if Moberg is correct, the maximum sensitivity is around 15 ppm CO2 / deg C. CH4 reacts faster, but even for short term excursions (such as the 8.2 kyr event) has a similar sensitivOver very long time periods such that the carbon cycle is in equilibrium with the climate, one gets a sensitivity to global temperature of about 20 ppm CO2 / deg C, or 75 ppb CH4 / deg C. On shorter timescales, the sensitivity for CO2 must be less (since there is no time for the deep ocean to come into balance), and variations over the last 1000 years or so (which are less than 10 ppm), indicate that even if Moberg is correct, the maximum sensitivity is around 15 ppm CO2 / deg C. CH4 reacts faster, but even for short term excursions (such as the 8.2 kyr event) has a similar sensitivover the last 1000 years or so (which are less than 10 ppm), indicate that even if Moberg is correct, the maximum sensitivity is around 15 ppm CO2 / deg C. CH4 reacts faster, but even for short term excursions (such as the 8.2 kyr event) has a similar sensitivity.

These trends are expected to continue over climate timescales.

The release of carbon dioxide and methane from the Arctic will provide a positive feedback to climate change which will be more important over longer timescales — millennia and longer.

The U.S. military seems interested in climate variations / change on timescales from seasonal to scales out to about 30 years, a period over which natural climate variability could very well swamp anthropogenically forced climate change.

Don't forget that there is natural variability in the climate, and the GW signal won't be differentiated from the noise over short timescales.

Models all produce natural variability, many of which show temperature flatlines over decadal timescales, and given the wide importance of natural variability over < 10 year time scales and uncertain forcings, one can absolutely not claim that this is inconsistent with current thinking about climate.

In addition, there are numerous uncertainties in the climate models themselves, due to the challenge of numerically simulating all relevant aspects of the climate system over long timescales of decades to centuries.

``... over glacial — interglacial timescales, climate dynamics are largely driven by internal Earth system mechanisms, inc... twitter.com/i/web/status/9… 1 day ago

«We build on this insight to demonstrate directly from ice - core data that, over glacial — interglacial timescales, climate dynamics are largely driven by internal Earth system mechanisms, including a marked positive feedback effect from temperature variability on greenhouse - gas concentrations.»

It is hard to argue with the evidence — the climate system as a whole is not chaotic, but rather harbors chaotic elements that average out over multidecadal timescales, revealing an underlying temperature trend.

In other words, climate policy risks may be brought down to modest levels compared with other risks if policy is set over a sufficiently long timescale into the future.

It has much potential future utility in narrowing down our understanding of TOA flux imbalances, and perhaps in helping us estimate climate sensitivity, but current and historical measurements limit our current ability to do this — particularly over short timescales.

Accurate forecasts of climate conditions over time periods of weeks to a few years — called intraseasonal to interannual timescales — can help people plan agricultural activities, mitigate drought, and manage energy resources.

Excellent work as usual, Bob, but you won't be surprised that I'm still trying to see how your ENSO material can be worked into the climate cycling from MWP to LIA to date without some other force altering the relative strengths of El Nino and La Nina over longer timescales than the multidecadal.

The researches thus «urge extreme caution in attributing short - term trends (i.e. over many decades and longer) in US tropical cyclone losses to anthropogenic climate change,» stating that «anthropogenic climate change signals are unlikely to emerge in US tropical cyclone losses on timescales of less than a century under the projections examined here.»

Conversely, rural people in many parts of the world have, over long timescales, adapted to climate variability, or at least learned to cope with it.

«Based on the results from this emergence timescale analysis we urge extreme caution in attributing short - term trends (i.e. over many decades and longer) in normalized US tropical cyclone losses to anthropogenic climate change,» says Crompton.

These are not an issue on weather timescales, but accumulate over climate time scales.

The potential change in the radiative restoration strength over longer timescales is also considered, resulting in a likely (67 %) range of 1.5 — 2.9 K for equilibrium climate sensitivity, and a 90 % confidence interval of 1.2 — 5.1 K

«The only way to predict the day - to - day weather and changes to the climate over longer timescales is to use computer models.»

Carvalho 2007 shows in a tale of two islands (UK and NZ) that anti persistence is persistent, in both climate records over a couple of centuries and that the reversibility of regimes on decadal timescales when mapped onto random walks meets the Hurst criteria.

The interplay between predictability and chaos over varying timescales is nicely summed up in these posts at Real Climate:

Only over climate timescales (typically, 30 years or more), do the long - term trends emerge that reflect the influence of changes in atmospheric levels of carbon dioxide.»

Clearly, climate is an average over the whole globe (land / sea / air), with the minimum timescale being a decade.

Because of the time lags involve in the climate system, short - term changes can be very difficult to predict, but over a long enough timescale, these kinds of effects become all but certain.

Assuming a CR - cloud connection exists, there are various factors which could potentially account for a lack of detection of this relationship over both long and short timescales studies, including: uncertainties, artefacts and measurement limitations of the datasets; high noise levels in the data relative to the (likely low) amplitude of any solar - induced changes; the inability of studies to effectively isolate solar parameters; or the inability to isolate solar - induced changes from natural climate oscillations and periodicities.

This problem is also exacerbated by climate oscillations which operate over long timescales, such as the El Niño Southern Oscillation (ENSO), which influences long - term global cloud cover and may interfere with solar - climate analysis studies (Kuang et al. 1998; Farrar 2000; Roy & Haigh 2010; Laken et al. 2012a).

Climate impacts research is in its infancy compared to science on the physical climate, for a number of reasons: attributing cause and effect isn't easy; neither is collecting data over timescales and regions long and large enough such that it's possible to draw any meaningful trends from their anClimate impacts research is in its infancy compared to science on the physical climate, for a number of reasons: attributing cause and effect isn't easy; neither is collecting data over timescales and regions long and large enough such that it's possible to draw any meaningful trends from their anclimate, for a number of reasons: attributing cause and effect isn't easy; neither is collecting data over timescales and regions long and large enough such that it's possible to draw any meaningful trends from their analysis.

Components of the Earth's climate system that vary over long timescales, such as ice sheets and vegetation, could have an important effect on this temperature sensitivity, but have often been neglected.

This illustrates a major limitation of such solar - climate correlation studies: they are subject to influences from internal periodicities and fluctuations operating over similar timescales, such as ENSO, and volcanic eruptions (Farrar 2000; Roy & Haigh 2010; Laken et al. 2012a).

Climate scientists would say in response that changes in ocean circulation can't sustain a net change in global temperature over such a long period (ENSO for example might raise or lower global temperature on a timescale of one or two years, but over decades there would be roughly zero net change).