Stratospheric temperatures, particularly near the pole are also significantly influenced
by dynamical changes, and in particular, the strength of the More»
Not exact matches
This relates to the sensitive dependence of non-linear systems to the initial values of its
dynamical parameters (often referred as the «butterfly effect,» a phrase coined
by the meteorologist E.N. Lorenz).7 In such a system, even the smallest
change (or uncertainty) of initial values of a non-linear or dynamically coupled system, show long - term divergence of its phase - map trajectories, leading to the formation of a basin of so - called «strange attractors.»
However, the introduction of quantum mechanical principles in the early part of this century brought about a dramatic
change In our notions of causality,
by allowing the concept of non-deterministic evolution of
dynamical systems to gain ground in the natural sciences.
Raymo and Paillard have a good story about the 100KYr cycle arising from the modulation of the precessional cycle
by the
changes in the Earth's orbital eccentricity, coupled with some glacial
dynamical effects which «rectify» the high frequency precessional signal.
The lag between decreases in sea ice extent during late summer and
changes in the mid-latitude atmospheric circulation during other seasons (like autumn and winter, when the recent loss of sea ice is much smaller) have been demonstrated empirically, but have not been captured
by existing
dynamical models.
Hatun et al. examined the possibilities that [i] a
change in rain falling over the ocean (freshens the water) and evaporation (increases the salinity
by removing water and leaving salt behind), [ii] increased salinity in the sub-tropical gyre (in the main part of the North Atlantic), [iii] increased salinity in the sub-polar gyre, or [iv]
dynamical changes in the relative contributions from the two gyres could explain the high salinities in the in - flow regions.
«A
dynamical system such as the climate system, governed
by nonlinear deterministic equations (see Nonlinearity), may exhibit erratic or chaotic behaviour in the sense that very small
changes in the initial state of the system in time lead to large and apparently unpredictable
changes in its temporal evolution.
It is emergent behviour in a complex
dynamical system characterised
by changes in ocean and atmospheric circulation and consequential
changes in cloud radiative forcing.
Abstract The purpose of this review - and - research paper is twofold: (i) to review the role played in climate dynamics
by fluid -
dynamical models; and (ii) to contribute to the understanding and reduction of the uncertainties in future climate -
change projections.
Dynamical effects arising from
changes in atmospheric pressure also play a role in distributing meltwater, as do geostrophic ocean currents that flow along the lines where pressure gradients are counterbalanced
by the Coriolis effect associated with the Earth's rotation.
This is a
dynamical question whose answer can not be given
by the Stefan Boltzmann law but
by Navier Stokes (for convection), the heat equation (for conduction) and the thermodynamics for phase
changes and bio-chemical energy.