Sentences with phrase «coupled nonlinear»

Walking is simply handled by rotating the limbs, but reproducing the wave - like swimming motions requires a system of coupled nonlinear oscillators.

In 2007, WG1.said «we should recognize that we are dealing with a coupled nonlinear chaotic system, and therefore that the long - term prediction of future climate states is not possible.»

I, like you, am very skeptical of any attempt to remove some particular «natural signal» from a coupled nonlinear chaotic system with gazillions of feedbacks known and unknown and (mostly) transient, fluctuations that happened to nucleate at some particular point and grow.

IMO, the standard 1D energy balance model of the Earth's climate system will provide little in the way of further insights; rather we need to bring additional physics and theory (e.g. entropy and the 2nd law) into the simple models, and explore the complexity of coupled nonlinear climate system characterized by spatiotemporal chaos.

«WG1.said «we should recognize that we are dealing with a coupled nonlinear chaotic system, and therefore that the long - term prediction of future climate states is not possible.

The term synchronization as used here describes how two or more coupled nonlinear oscillators adjust their (initially different) natural rhythms to a common frequency and constant relative phase.

Complex nonlinear multivariate systems often exhibit «strange attractors» — local fixed points in a set of coupled nonlinear ordinary differential equations — that function as foci for Poincare cycles in the multivariate phase space.

Nonlinear contraction theory allows surprisingly simple analysis of synchronisation phenomena in distributed networks of coupled nonlinear elements.

``... we should recognise that we are dealing with a coupled nonlinear chaotic system, and therefore that the long - term prediction of future climate states is not possible.»

Climate is a multiply coupled nonlinear system that shifts every few decades as a result of an internal and emergent reorganization of sub-components.

Not exact matches

They converted those relationships into a coupled pair of nonlinear differential equations.

This is equivalent to the coupling of the guitar string to the body although the coupling is nonlinear in the case of the graphene nano resonator.

ARL created a generalized model using an energetic formulation approach, which was key in identifying two important mechanisms for enabling high bending motion in soft biological actuators: (i) tuning physical properties (mechanical and geometric) via exploiting the interplay between the materials and dynamic nonlinearities to augment the motion; and (ii) highlighting the electromechanical coupling between the electrical field and nonlinear structural stiffness through the distributive actuation circuitries.

The framework is based on solving nonlinear coupled ordinary and partial differential equations that model the kinetics of the following phenomena: (1) mass transport in the electrolyte and electrode using the Nernst - Planck equation; (2) electrical potential distribution using the Poisson equation; (3) interfacial reactions that determine the boundary conditions or source terms (using the Butler - Volmer equation or constant - flux conditions); and (4) evolution of the electrode / electrolyte interface using the Allen - Cahn equation within the phase - field modeling (PFM) approach.

We, therefore, conclude that the Indian temperature variability is probably driven by the nonlinear coupling of ENSO and solar activity.

As in his nonlinear bad romance Blue Valentine, Cianfrance looks for tragedy in the discrepancy between a couple's blissful past and its ruined present, but the lack of concrete details about these people abstracts their drama.

Belgium's entry for this year's Academy Awards (and a big winner at both Berlin and Tribeca), Felix Van Groeningen's «The Broken Circle Breakdown» is the nonlinear tale of an unlikely couple and their cancer - stricken daughter in the Flemish countryside.

As synchronized multi-axis control systems are nonlinear, time - variable and easily affected by disturbances, it is difficult to determine reasonable coupling control law and large amount of on - line calculation just through the existing synchronous control strategies for multi-axis system.

Its a coupled implicit nonlinear system, and you have to model it and solve the resulting equations.

Is there a chunk of the climate - change - radar - screen (concerned with nonlinear systems and their interconnections and coupled responses) missing?

In climate — nothing is certain but that the system is multiply coupled and nonlinear.

In the context of a coupled, nonlinear system — the system is sensitive to small changes in power in.

One part of the difficulty is that the Earth is a highly multivariate and chaotic driven / open system with complex nonlinear coupling between all of its many drivers, and with anything but a regular surface.

If one tried to actually write «the» partial differential equation for the global climate system, it would be a set of coupled Navier - Stokes equations with unbelievably nasty nonlinear coupling terms — if one can actually include the physics of the water and carbon cycles in the N - S equations at all.

We now recognize more of the natural climatic variations caused by the interaction of five highly nonlinear coupled chaotic processes: earth's atmosphere, oceans, volcanoes, solar weather, and galactic cosmic rays (Curry 2016, Curry 2017).

In principle climate is a coupled, nonlinear, chaotic system — but how recurrent (technically ergodic)-- are these patterns?

Experience with solution algorithms, data assimilation methods and tools, coupling of components and processes, nonlinear and linear solvers, limiters, and / or other numerical issues common with complex codes within earth system models of varying complexity

If «[t] he inconvenient truth remains,» according to Philip Stott, that «climate is the most complex, coupled, nonlinear, chaotic system known,» then like flipping a coin, It will not matter if we devise a mathematical model to combine the data of the last 100 flips with a dataset reflecting the 100 flips before that — even if you consider want to consider how many tails you got on the previous 1,000 flips — the odds for the next flip still will be 50 - 50.

To state the obvious — the planet is a globally coupled, nonlinear fluid flow problem.

Any change in a model can produce divergent solutions that are not predictable beforehand — it is the nature of the nonlinear Navier - Stokes equations — this extends to the range of uncertainty in climate data and to the number and breadth of couplings.

III: Climate shifts hypothesis: 20th century climate variability / change is explained by synchronized chaos arising from nonlinear oscillations of the coupled ocean / atmosphere system plus external forcing (e.g. Tsonis, Douglass).

Climate shifts hypothesis: 20th century climate variability / change is explained by synchronized chaos arising from nonlinear oscillations of the coupled ocean / atmosphere system plus external forcing

It is technically a coupled, nonlinear chaotic system.

The complete set forms a non-Markovian nonlinear, coupled integrodifferential system with timescales stretching from minutes to millions of years.

Both models and climate are coupled, nonlinear chaotic systems — acknowledged in the TAR at least.

We can not solve the many body atomic state problem in quantum theory exactly any more than we can solve the many body problem exactly in classical theory or the set of open, nonlinear, coupled, damped, driven chaotic Navier - Stokes equations in a non-inertial reference frame that represent the climate system.

When all the parameters, their nonlinear interrelating variations and couplings are not all known, and this system is still being scientifically investigated then there is only research.

The study uses an extensive suite of existing simulations with the Variable Infiltration Capacity (VIC) hydrologic model driven by Coupled Model Intercomparison Project Phase 3 (CMIP3) climate simulations to train and evaluate the nonlinear and nonstationary Generalized Extreme Value conditional density network (GEVcdn) model of Fraser River streamflow extremes, and subsequently applies the model to project changes in Fraser River extremes under CMIP5 based climate change scenarios.

«The inconvenient truth remains,» according to Philip Stott, that «climate is the most complex, coupled, nonlinear, chaotic system known.»

In Possible solar origin of the 1,470 - year glacial climate cycle demonstrated in a coupled model, Holger Braun, Marcus Christl, Stefan Rahmstorf, Andrey Ganopolski, Augusto Mangini, Claudia Kubatzki, Kurt Roth & Bernd Kromer postulated that the combination of the 210 year DeVries — Suess and the 87 year Gleissberg cycle could tip nonlinear fresh water influxes and subsequent changes in Thermohaline Circulation triggering Dansgaard - Oeschger events.

the PDO, AMO etc. are natural internal modes, unforced, arising from the nonlinear dynamics of the coupled atmosphere / ocean system (manifestations of the spatio - temporal chaos of the system).

PDO, AMO etc. are natural internal modes, unforced, arising from the nonlinear dynamics of the coupled atmosphere / ocean system (manifestations of the spatio - temporal chaos of the system).

Alex, the PDO, AMO etc. are natural internal modes, unforced, arising from the nonlinear dynamics of the coupled atmosphere / ocean system (manifestations of the spatio - temporal chaos of the system).

Climate is a coupled, nonlinear, chaotic system and this has been understood for a long time.

These nonlinear equations made it possible to simulate a couple's interaction under new conditions and then test these simulations with real experiments.