Sentences with phrase «driving decadal variability»

The role of the Indian Ocean, the stationarity of teleconnections, the determination of the leader ocean basin in driving decadal variability, the anthropogenic role, the reduction of the model rainfall spread, and the improvement of some model components are among the most important remaining questions that continue to be the focus of current international projects.

Not exact matches

On decadal time scales, annual streamflow variation and precipitation are driven by large - scale patterns of climate variability, such as the Pacific Decadal Oscillation (see teleconnections description in Climate chapter)(Pederson et al. 2011a; Seager and Hoerlingdecadal time scales, annual streamflow variation and precipitation are driven by large - scale patterns of climate variability, such as the Pacific Decadal Oscillation (see teleconnections description in Climate chapter)(Pederson et al. 2011a; Seager and HoerlingDecadal Oscillation (see teleconnections description in Climate chapter)(Pederson et al. 2011a; Seager and Hoerling 2014).

Large interannual variability in snowpack can be nested within Pacific Decadal Oscillation (and Pacific North American) driven patterns (e.g., see the high snow years of 1996 and 1997 that occurred during a 25 - year period of below average snowpack).

It is important to note that any potential effects will be spatially and temporally variable, depending on current forest conditions, local site characteristics, environmental influences, and annual and decadal patterns of climate variability, such as the El Niño - Southern Oscillation cycle, which can drive regional weather and climate conditions.

Either there's a large decadal - scale internal variability driving it, such as a large pseudo-cyclical increase in deepwater formation, or the Arctic Ocean is near marginal stability under perturbation.

These factors driving the present changes of the NHSM system are instrumental for understanding and predicting future decadal changes and determining the proportions of climate change that are attributable to anthropogenic effects and long - term internal variability in the complex climate system.

«Antarctic Sea - Ice Expansion between 2000 and 2014 Driven by Tropical Pacific Decadal Climate Variability.»

Antarctic sea - ice expansion between 2000 and 2014 driven by tropical Pacific decadal climate variability.

Roemmich et al (2007) suggest that mid-latitude gyres in all of the oceans are influenced by decadal variability in the Southern and Northern Annular Modes (SAM and NAM respectively) as wind driven currents in baroclinic oceans (Sverdrup, 1947).

Our results suggest that the decadal AO and multidecadal LFO drive large amplitude natural variability in the Arctic making detection of possible long - term trends induced by greenhouse gas warming most difficult.

Furthermore the tropical Pacific decadal variability driven by NPO interacts with ENSO and modulates its amplitude through meridional displacement of the mean intertropical convergence zone (ITCZ).

The PSA variability, on the other hand, appears to drive ENSO - like decadal variability associated with the Pacific Decadal Oscillation (PDO), affecting precipitation in the South Pacific convergence zone decadal variability associated with the Pacific Decadal Oscillation (PDO), affecting precipitation in the South Pacific convergence zone Decadal Oscillation (PDO), affecting precipitation in the South Pacific convergence zone (SPCZ).

It is hypothesized that the low frequency components of stochastic atmospheric variability in the North and South Pacific, namely, the North Pacific Oscillation (NPO) and Pacific - South American (PSA) variability, independently drive tropical Pacific decadal variability.

On decadal timescales, AMOC variability involves a complex interplay between wind - driven and thermohaline (buoyancy - driven) processes.

The Pacific sst drive most decadal to cenntennial variability in climate.

However, detecting acceleration is difficult because of (i) interannual variability in GMSL largely driven by changes in terrestrial water storage (TWS)(7 ⇓ — 9), (ii) decadal variability in TWS (10), thermosteric sea level, and ice sheet mass loss (11) that might masquerade as a long - term acceleration over a 25 - y record, (iii) episodic variability driven by large volcanic eruptions (12), and (iv) errors in the altimeter data, in particular, potential drifts in the instruments over time (13).

Of course, decadal variability in clouds can only be a response to decadal variability in the surface conditions or atmospheric circulation that drive cloud formation, because the lifetime of cloud systems is days rather than decades.

Ghan's assertion is false that decadal variability in clouds can «only» be a response to decadal variability in the surface conditions or atmospheric circulation that drive cloud formation.