Sentences with phrase «scale regional temperature changes»

Its primary usefulness is as an indicator of global or large scale regional temperature changes.

Not exact matches

New research published this week in the Journal of Climate reveals that one key measurement — large - scale upper - ocean temperature changes caused by natural cycles of the ocean — is a good indicator of regional coastal sea level changes on these decadal timescales.

The attribution of the term at regional scales is complicated by significant regional variations in temperature changes due to the the influence of modes of climate variability such as the North Atlantic Oscillation and the El Nino / Southern Oscillation.

At the hemispheric - mean scale, the «Little Ice Age» is only a moderate cooling because larger offsetting regional patterns of temperature change (both warm and cold) tend to cancel in a hemispheric or global mean.

The new research is a regional climate study of historical sea level pressures, winds and temperatures over the eastern Pacific Ocean and draws no conclusions about climate change on a global scale.

-- Projected precipitation and temperature changes imply changes in floods, although overall there is low confidence at the global scale regarding climate - driven changes in magnitude or frequency of river - related flooding, due to limited evidence and because the causes of regional changes are complex.

That is, changes to the system are more clearly discerned in the global mean temperature than at a regional level, mainly because the noisy «weather» component increases as you go to smaller scales.

While the anomalous nature of recent trends in global average temperature is often highlighted in discussions of climate change, changes at regional scales have potentially greater societal significance.

They clearly have not «proved» skill at predicting in a hindcast mode, changes in climate statistics on the regional scale, and even in terms of the global average surface temperature trend, in recent years they have overstated the positive trend.

This section documents regional changes and slow fluctuations in atmospheric circulation over past decades, and demonstrates that these are consistent with large - scale changes in other variables, especially temperature and precipitation.

On a regional scale, these parameters strongly impact on weather and climate in Europe, determining precipitation patterns and strengths, as well as changes in temperature and wind patterns.

To have the ability to constrain future climate projections, they would ideally have strong connections with one or several aspects of climate change: climate sensitivity, large - scale patterns of climate change (inter-hemispheric symmetry, polar amplification, vertical patterns of temperature change, land - sea contrasts), regional patterns or transient aspects of climate change.

Lower case a-h refer to how the literature was addressed in terms of up / downscaling (a — clearly defined global impact for a specific ΔT against a specific baseline, upscaling not necessary; b — clearly defined regional impact at a specific regional ΔT where no GCM used; c — clearly defined regional impact as a result of specific GCM scenarios but study only used the regional ΔT; d — as c but impacts also the result of regional precipitation changes; e — as b but impacts also the result of regional precipitation change; f — regional temperature change is off - scale for upscaling with available GCM patterns to 2100, in which case upscaling is, where possible, approximated by using Figures 10.5 and 10.8 from Meehl et al., 2007; g — studies which estimate the range of possible outcomes in a given location or region considering a multi-model ensemble linked to a global temperature change.

Overall, the pattern - scaled temperature changes in the high - end and non-high-end models are similar over much of the globe, but there are some regional differences, indicating that the regional response of the high - end and non-high-end models to climate change is not completely identical.

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).

Furthermore, by homogenizing the entire ocean into a single metric, they miss important nuances of local and regional scale redox changes that might reflect the activity of climatic feedback processes, such as weathering, ocean circulation change, or temperature change.