That the most
complex nonlinear system on the planet has a built - in runaway feedback mechanism based on the common and important molecules of H2O and CO2.
For it was Lovelock's Gaia Hypothesis which first popularised the idea that the biosphere is a massively
complex nonlinear system that works to regulate many different subsystems towards a relatively narrow envelope of values necessary for the continuity of life on the planet through a tangle of negative feedbacks, in much the same way the human body maintains constant internal conditions necessary for life.
• Lack of formal model verification & validation, which is the norm for engineering and regulatory science • Circularity in arguments validating climate models against observations, owing to tuning & prescribed boundary conditions • Concerns about fundamental lack of predictability in
a complex nonlinear system characterized by spatio - temporal chaos with changing boundary conditions • Concerns about the epistemology of models of open, complex systems
Complex nonlinear systems then tend to enter a chaotic transition to a new state.
This is particularly important for
complex nonlinear systems like the AMOC.
Not exact matches
Menczer's work, which is also supported by the military's Defense Advanced Research Projects Agency and by the private James S. McDonnell Foundation, is part of a growing field that examines what are called
complex,
nonlinear feedback
systems.
«To predict the effects this type of deforestation has on the relationship between rain forest and the savanna — and on the local and global climate — it's necessary to understand how the transitional forest evolves in time and reacts to disturbances,» explained Yannick De Decker, associate professor at the Center for
Nonlinear Phenomena and
Complex Systems, as well as the
Nonlinear Physical Chemistry Unit at ULB.
Chaos theory, or
nonlinear dynamics, is a mathematical way of determining the effects of small changes on
systems so
complex they look random.
The program encompasses a wide range of theoretical perspectives, such as symbolic computation, connectionism, ecological,
nonlinear dynamics, and
complex systems, and a variety of methodologies including both experimental studies and modeling.
Today, scientists around the world, including those at the Potsdam Institute for Climate Impact Research that Schellnhuber founded in 1992, are successfully investigating the
nonlinear dynamics of the
complex climate
system, and religious leaders like Pope Francis - whose green Encyclical Schellnhuber had the honor to present to the world in 2015 - joined in the call for avoiding dangerous climate change.
The neural control of the cardiovascular
system exhibits the
complex nonlinear behavior.
Capitalism is a
complex, dynamic, adaptive and
nonlinear system because it has elements or agents that interact in large numbers together forming one or more structures that arise from interactions between such agents.
However, this apparent impulsive behavior explicitly highlights the fact that humanity is poking a
complex,
nonlinear system with GHG forcing — and that there are no guarantees to how the climate may respond.
This revolution has brought new understanding of
nonlinear dynamics,
complex systems, ch...
This revolution has brought new understanding of
nonlinear dynamics,
complex systems, chaos theory, catastrophe theory.
Each component is part of a
complex and
nonlinear mechanism that in concert acts in ways consistent with the behaviour of a broad class of deterministically chaotic
systems.
«Synchronization is a fundamental
nonlinear phenomenon and one basic mechanism of self - organization in
complex systems 14, and synchronization of
nonlinear oscillators to external forcing (see Supplementary Information) is commonly encountered in physics, chemistry, biology, engineering and climatology 13 — 17.
The three - body problem is of course at the center of Chaos theory and climate research has long acknowledged that the climate is a dynamical
system existing on the edge of spatio - temperal chaos and that the complexity of multiple interacting positive and negative feedbacks make it so particularly
complex and
nonlinear.
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.
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.
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.
Both of these graphs support the idea of the climate as a «
Complex nonlinear multivariate
systems... exhibit [ing] «strange attractors»
In a
system such as the climate, we can never include enough variables to describe the actual
system on all relevant length scales (e.g. the butterfly effect — MICROSCOPIC perturbations grow exponentially in time to drive the
system to completely different states over macroscopic time) so the best that we can often do is model it as a
complex nonlinear set of ordinary differential equations with stochastic noise terms — a generalized Langevin equation or generalized Master equation, as it were — and average behaviors over what one hopes is a spanning set of butterfly - wing perturbations to assess whether or not the resulting
system trajectories fill the available phase space uniformly or perhaps are restricted or constrained in some way.
Ken re «an unusually
complex nonlinear dynamical
system... if we hold all other known or estimated forcings constant, (changes) will occur»
This is a property of the broad class of
nonlinear,
complex, dynamic
systems.
«The inconvenient truth remains,» according to Philip Stott, that «climate is the most
complex, coupled,
nonlinear, chaotic
system known.»
The
system could well be a «weakly forced
nonlinear oscillator» in which a range of external forcings (solar, tidal, Milankovich etc.) interact with the
systems own
nonlinear oscillations and resonances to yield the end result of an almost intractably
complex climate