The purpose of this review-and-research paper is twofold: (i) to review the
role played in climate dynamics by fluid-dynamical models; and (ii) to
contribute to the understanding and reduction of the uncertainties in future
climate-change projections. To illustrate the first point, we focus on the
large-scale, wind-driven flow of the mid-latitude oceans which contribute in a
crucial way to Earth's climate, and to changes therein.
This paper is concerned with the integrodifferential equation $$\partial_t
u-\Delta u -\int_0^\infty \kappa(s)\Delta u(t-s)\,\d s + \varphi(u)=f$$ arising
in the Coleman-Gurtin's theory of heat conduction with hereditary memory, in
presence of a nonlinearity $\varphi$ of critical growth. Rephrasing the
equation within the history space framework, we prove the existence of global
and exponential attractors of optimal regularity and finite fractal dimension
for the related solution semigroup, acting both on the basic weak-energy space
and on a more regular phase space.
We study a spatially explicit harvesting model in periodic or bounded
environments. The model is governed by a parabolic equation with a spatially
dependent nonlinearity of Kolmogorov--Petrovsky--Piskunov type, and a negative
external forcing term $-\delta$. Using sub- and supersolution methods and the
characterization of the first eigenvalue of some linear elliptic operators, we
obtain existence and nonexistence results as well as results on the number of
stationary solutions.
In this Note, we describe the stationary equilibria and the asymptotic
behaviour of an heterogeneous logistic reaction-diffusion equation under the
influence of autonomous or time-periodic forcing terms. We show that the study
of the asymptotic behaviour in the time-periodic forcing case can be reduced to
the autonomous one, the last one being described in function of the "size" of
the external perturbation. Our results can be interpreted in terms of maximal
sustainable yields from populations. We briefly discuss this last aspect
through a numerical computation.