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.»
The challenges are significant, but the record of progress suggests that within the next decade the scientific community will develop fully
coupled dynamical (prognostic) models of the full Earth
system (e.g., the
coupled physical climate, biogeochemical, human sub-systems) that can be employed on multi-decadal time - scales and at spatial scales relevant to strategic impact assessment.
Ian Renfrew investigates
dynamical and physical processes with the
coupled climate
system.
James Hurrell and colleagues in an article in the Bulletin of the American Meteorological Society stated that the «global
coupled atmosphere — ocean — land — cryosphere
system exhibits a wide range of physical and
dynamical phenomena with associated physical, biological, and chemical feedbacks that collectively result in a continuum of temporal and spatial variability.
T he global
coupled atmosphere — ocean — land — cryosphere
system exhibits a wide range of physical and
dynamical phenomena with associated physical, biological, and chemical feedbacks that collectively result in a continuum of temporal and spatial variability.
The theoretical underpinnings of the study of the
dynamical behavior of open
systems — which are in contact with their surroundings and thus may exhibit time dependence in their forcing or coefficients — were laid within the last
couple of decades by L. Arnold, G. Sell, and L. - S.
We examined the potential skill of decadal predictions using the newly developed Decadal Climate Prediction
System (DePreSys), based on the Hadley Centre
Coupled Model, version 3 (HadCM3)(17), a
dynamical global climate model (GCM).