Sentences with phrase «sensitive dependence»

The winter / summer point is that the climate is clearly not wildly unstable, in the sense of sensitive dependence on initial conditions, the way weather is.

The multiple simulations are conducted to account for the two usual sources of uncertainty in forecast models: (1) the errors introduced by the use of imperfect initial conditions, amplified by the chaotic nature of the evolution equations of the atmosphere, this is often referred to as sensitive dependence on the initial conditions; and (2) errors introduced because of imperfections in the model formulation, such as the approximate mathematical methods to solve the equations.

Optimizing how well an ESM simulates climate statistics targets success metrics that are directly relevant for climate projections, and it avoids difficulties caused by sensitive dependences on atmospheric initial conditions and small - scale roughness that otherwise complicate data assimilation at high resolution.

The multiple non-unique solutions arise from sensitive dependence to initial conditions — the chaotic core of climate models.

British environmental photographer Kelly Hill uses the term Sensitive Dependence to describe the theme that inspires her beautiful work; namely the delicate, but fundamental relationship between our children and our planet.

How to Save the Climate with a Click More Nature Photography Climate Change Photography Shapes Debate Nature's Wonders: Gorgeous Landscape Photography Image 1 of 9 Stunning Photographs Illustrate Sensitive Dependence Between Children + Planet

A phenomenon known as sensitive dependence to initial conditions since Edward Lorenz's work on convection models in the 1960's.

The signature of chaos is the sensitive dependence on initial conditions.

This so - called Fisher information, named after geneticist and statistician Ronald A. Fisher, explicitly and universally quantifies the sensitive dependence of a given quantum mechanical state on the metrologically relevant parameters.

The butterfly effect is a phrase that encapsulates the more technical notion of sensitive dependence on initial conditions in chaos theory.

Model differences are another source of sensitive dependence.

Sensitive dependence and structural instability result in multiple feasible solutions within a range that is known as model irreducible imprecision.

James McWilliams, of the Department of Atmospheric and Oceanic Sciences at the University of California Los Angeles, says that «sensitive dependence and structural instability are humbling twin properties for chaotic dynamical systems, indicating limits about which kinds of questions are theoretically answerable.»

One of the defining traits of a chaotic system is «sensitive dependence to initial conditions».

From there it is a modest step to the idea of sensitive dependence — perfectly deterministic but seemingly random regime shift in the words of Julia Slingo and Tim Palmer.