Computational science is crucial for delivering reliable weather and climate predictions.
However, despite decades of high-performance computing experience, there is serious …

Physics–Dynamics Coupling in Weather, Climate, and Earth System Models: Challenges and
Recent Progress in: Monthly Weather Review Volume 146 Issue 11 (2018) Jump to Content …

The trajectory of a chaotic dynamical system is sensitive to the initial condition, while its
statistics normally do not have sensitive dependence on small disturbances. Such a kind of …

We investigate the large-scale influence of numerical noises as tiny artificial stochastic
disturbances on a sustained turbulence. Using two-dimensional (2-D) turbulent Rayleigh …

Errors caused by discrete time stepping may be an important component of total model error
in contemporary atmospheric and oceanic simulations. To reduce time-stepping errors in …

The famous three-body problem can be traced back to Newton in 1687, but quite few
families of periodic orbits were found in 300 years thereafter. In this paper, we propose an …

This paper reports the existence of more than one pseudo-orbit when simulating continuous
nonlinear systems using a digital computer in a set-up different from the ones normally seen …

Abstract Using 1200 CPUs of the National Supercomputer TH-A1 and a parallel integral
algorithm based on the 3500th-order Taylor expansion and the 4180-digit multiple precision …

Stochastic Nature of Physical Parameterizations in Ensemble Prediction: A Stochastic
Convection Approach in: Monthly Weather Review Volume 136 Issue 2 (2008) Jump to …

In this paper, it is found numerically that the previously found hidden chaotic attractors of the
Rabinovich–Fabrikant system actually present the characteristics of strange nonchaotic …