The climate is a forced and dissipative nonlinear system featuring nontrivial dynamics on a
vast range of spatial and temporal scales. The understanding of the climate's structural and …

Stochastic Parameterization: Toward a New View of Weather and Climate Models in:
Bulletin of the American Meteorological Society Volume 98 Issue 3 (2017) Jump to Content …

The sensitivity of climate models to increasing CO 2 concentration and the climate response
at decadal time-scales are still major factors of uncertainty for the assessment of the long …

Using straightforward linear algebra we derive response operators describing the impact of
small perturbations to finite state Markov processes. The results can be used for studying …

A stochastic subgrid‐scale parametrization based on the Ruelle's response theory and
proposed by Wouters and Lucarini is tested in the context of a low‐order coupled ocean …

The thermal response of nonequilibrium systems requires the knowledge of concepts that go
beyond entropy production. This is showed for systems obeying overdamped Langevin …

Predicting the response of a system to perturbations is a key challenge in mathematical and
natural sciences. Under suitable conditions on the nature of the system, of the perturbation …

The fluctuation–dissipation theorem (FDT) has been proposed as a method of calculating
the mean response of the atmosphere to small external perturbations. This paper explores …

In this computational paper, we perform sensitivity analysis of long-time (or ensemble)
averages in the chaotic regime using the shadowing algorithm. We introduce automatic …

A new framework is proposed for the evaluation of stochastic subgrid-scale
parameterizations in the context of the Modular Arbitrary-Order Ocean-Atmosphere Model …