Sentences with phrase «climate over longer timescales»

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

Not exact matches

«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.»

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.

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.

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.

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.

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.

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.

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

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.»

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.

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).

Debates over discounting are longstanding in climate analysis, but as my colleague Jerry Taylor wrote last year, economists who study climate change are inclined to choose lower discount rates because of the inter-generational transfers and long timescales associated with climate change.

Climate is not the «variation» of weather over longer timescales.

Because climate is the variation of weather over longer timescales.

Anonymous said: «Climate is not the «variation» of weather over longer timescales.