The mathematical hypothesis concerning the external character of perturbations is critically examined in the special case of a climate system model. The importance of embedding such models into a perturbation space with L 1 -structure for the analysis of error and model stability is demonstrated. 1. TOPOLOGICAL EMBEDDING OF MATHEMATICAL MODELS Since there are many real dynamic systems on which controlled experiments cannot be carried out, it is important to construct an appropriate model of a "proxy system" on which such experiments can be conducted. A classic example of such a dynamic system is the atmosphereactive -layers (AAL) system. As a result of increasing computational power of modern computers, improvements in measurin...
The equations of climate are, in principle, known. Why then is it so hard to formulate a biasfree mo...
Purpose. Purpose of this article is to review recent results (over the past three years) obtained at...
Climate modelling plays a crucial role for understanding and addressing the climate challenge, in te...
International audienceIt is a common procedure in climate modelling to specify dynamical system comp...
International audienceThe authors are hosting an AMS sponsored Mathematics Research Community (MRC) ...
The societal need for reliable climate predictions and a proper assessment of their uncertainties is...
In order to investigate whether climate models of different complexity have the potential to simulat...
A philosophy of hierarchical modelling is espoused in which models of intermediate complexity bridge...
Abstract: The atmosphere is known to be forced by a variety of energy sources, including radiation a...
It is now widely recognized that the climate system is governed by nonlinear, multi-scale processes,...
Six strategies to couple the dynamical core with physical parameterizations in atmospheric models ar...
International audiencePioneering work by Lorenz (1965, 1968, 1969) developed a number of methods for...
Numerical weather, climate, or Earth system models involve the coupling of components. At a broad le...
Representing model uncertainty is important for both numerical weather and climate prediction. Stoch...
The multi-physics and multi-scale nature of the atmosphere is efficiently addressed by at- mospheric...
The equations of climate are, in principle, known. Why then is it so hard to formulate a biasfree mo...
Purpose. Purpose of this article is to review recent results (over the past three years) obtained at...
Climate modelling plays a crucial role for understanding and addressing the climate challenge, in te...
International audienceIt is a common procedure in climate modelling to specify dynamical system comp...
International audienceThe authors are hosting an AMS sponsored Mathematics Research Community (MRC) ...
The societal need for reliable climate predictions and a proper assessment of their uncertainties is...
In order to investigate whether climate models of different complexity have the potential to simulat...
A philosophy of hierarchical modelling is espoused in which models of intermediate complexity bridge...
Abstract: The atmosphere is known to be forced by a variety of energy sources, including radiation a...
It is now widely recognized that the climate system is governed by nonlinear, multi-scale processes,...
Six strategies to couple the dynamical core with physical parameterizations in atmospheric models ar...
International audiencePioneering work by Lorenz (1965, 1968, 1969) developed a number of methods for...
Numerical weather, climate, or Earth system models involve the coupling of components. At a broad le...
Representing model uncertainty is important for both numerical weather and climate prediction. Stoch...
The multi-physics and multi-scale nature of the atmosphere is efficiently addressed by at- mospheric...
The equations of climate are, in principle, known. Why then is it so hard to formulate a biasfree mo...
Purpose. Purpose of this article is to review recent results (over the past three years) obtained at...
Climate modelling plays a crucial role for understanding and addressing the climate challenge, in te...