Sentences with phrase «climate over large regions»

Nevertheless, as pieces of evidence accumulated, a growing number of scientists found it plausible that the climate over large regions, if not the entire world, had sometimes changed markedly in a thousand years or even less.

Not exact matches

Examining future climate projections over a large area, they can identify regions where such conditions are likely to arise, drawing the species to them as they do so.

It's nothing a person would notice — a reduction barely more than one - tenth of one mile per hour — but on a large scale over an entire region, such a seemingly minor change has a profound effect on climate and air quality.

Over this 100 - year period, O'Gorman found that average snowfall decreased substantially in many Northern Hemisphere regions in warm - climate scenarios compared with the milder control climates, but that snowfall amounts in the largest snowstorms did not decrease to the same extent.

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.

In other words, it is possible that the the climate system does exhibit some kind of long - term chaos in some circumstances, but that the forcing is strong enough to wipe out any significant uncertainty due to initial conditions — at least if one is content to forecast statistical quantities such as, for example, decadal mean January temperatures in some suitably large region, or perhaps temperature variances or quartiles taken over a similar period.

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An accurate prediction of the AO could lead to improved seasonal temperature forecasts over the major population centers in eastern North America and Europe as it explains the largest fraction of temperature variance of any other climate mode over these regions.

Attribution of the observed warming to anthropogenic forcing is easier at larger scales because averaging over larger regions reduces the natural variability more, making it easier to distinguish between changes expected from different external forcings, or between external forcing and climate variability.

The results also highlight coastal regions that are well - represented in current generation climate models (and those that are not) and the time periods over which coastal sea level may be used as a proxy for the large - scale ocean circulation.

A simple rule of thumb is that one can expect downscaling to higher resolution to improve the simulation of regional climate in locations that include coastlines and / or mountain ranges (particularly where the range is too small to be well resolved by the GCM but large enough to be well resolved at the higher resolution) while not making much difference over large homogeneous, relatively flat regions (deserts, oceans,...).

Assuming a good bit of this was added after the natural warming cycle was started we are probably looking at closer to 1200 ppm over the next century or two before C02 levels begin to decrease again as this natural green house locks up carbon primarily in phytoplankton blooms caused by fertilization from the new large desert regions near the equator and excessive erosion from very intense storm systems the develop in such a hot house climate.

To a large extent the probability forecasts in Figure 11 resemble the surface air temperature anomaly of the last two months in Figure 7 in the high latitudes, illustrating the persistence of weak climate anomalies over the sea ice and ocean covered regions throughout the summer months.

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.

What we — and other competent researchers — have all found is that the warmth was far more regional than modern warmth, with some large regions, like the tropical Pacific, having been unusually * cold * at the time, and when you average over the globe, the warmth of the medieval warm period / medieval climate anomaly simply doesn't reach modern warmth.

These range from simple averaging of regional data and scaling of the resulting series so that its mean and standard deviation match those of the observed record over some period of overlap (Jones et al., 1998; Crowley and Lowery, 2000), to complex climate field reconstruction, where large - scale modes of spatial climate variability are linked to patterns of variability in the proxy network via a multivariate transfer function that explicitly provides estimates of the spatio - temporal changes in past temperatures, and from which large - scale average temperature changes are derived by averaging the climate estimates across the required region (Mann et al., 1998; Rutherford et al., 2003, 2005).