Sentences with phrase «regional modes of variability»

Not exact matches

«There is high confidence that the El Niño - Southern Oscillation (ENSO) will remain the dominant mode of natural climate variability in the 21st century with global influences in the 21st century, and that regional rainfall variability it induces likely intensifies.

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.

The authors conclude that the there is a higher retreat - rate for marine terminating glaciers in the recent warm period; in the 1930s when there is a natural mode of variability active that caused regional temperatures around Greenland to be anomalously warm, there was a higher retreat rate for land - terminating glaciers (the lower retreat rate today is in part because they are currently smaller).

In addition to regional climate change being strongly affected by natural modes of variability, geographic differences in climate change are related to the uneven spatial distribution of aerosols and tropospheric ozone.

Part of this is a resolution issue, but the more important issue is the modes of natural internal variability, which the climate models do a so - so job on in a large - scale sense, but not in translating the impacts to a regional level.

«A climate pattern may come in the form of a regular cycle, like the diurnal cycle or the seasonal cycle; a quasi periodic event, like El Niño; or a highly irregular event, such as a volcanic winter... A mode of variability is a climate pattern with identifiable characteristics, specific regional effects, and often oscillatory behavior... the mode of variability with the greatest effect on climates worldwide is the seasonal cycle, followed by El Niño - Southern Oscillation, followed by thermohaline circulation.»

Original study: Messié, M. and F.P. Chavez, 2011: Global modes of sea surface temperature variability in relation to regional climate indices.

«The authors write that North Pacific Decadal Variability (NPDV) «is a key component in predictability studies of both regional and global climate change,»... they emphasize that given the links between both the PDO and the NPGO with global climate, the accurate characterization and the degree of predictability of these two modes in coupled climate models is an important «open question in climate dynamics» that needs to be addressed... report that model - derived «temporal and spatial statistics of the North Pacific Ocean modes exhibit significant discrepancies from observations in their twentieth - century climate... conclude that «for implications on future climate change, the coupled climate models show no consensus on projected future changes in frequency of either the first or second leading pattern of North Pacific SST anomalies,» and they say that «the lack of a consensus in changes in either mode also affects confidence in projected changes in the overlying atmospheric circulation.»»

In view of the multiple modes and periods of internal variability in the ocean, it is likely that we have not detected the full scale of internal variability effects on regional and global sea level change.

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).

My favorite quote from that paper is: «Because ENSO is the dominant mode of climate variability at interannual time scales, the lack of consistency in the model predictions of the response of ENSO to global warming currently limits our confidence in using these predictions to address adaptive societal concerns, such as regional impacts or extremes (Joseph and Nigam 2006; Power et al. 2006).»