Stochastic Averaging of Idealized Climate Models

Averaging and Climate Models

Stochastic Climate Models

The field of climate physics is devoted to the study of the climate system as a dynamical system, that is, to the study of its spatial and temporal variability. By climate system, we refer to that tightly-coupled collection of subsystems composed of the atmosphere, the ocean, the cryosphere (icy regions), the lithosphere (land), and the biosphere (life). This system is not closed: external forc...

Models for stochastic climate prediction.

There has been a recent burst of activity in the atmosphere/ocean sciences community in utilizing stable linear Langevin stochastic models for the unresolved degree of freedom in stochastic climate prediction. Here several idealized models for stochastic climate modeling are introduced and analyzed through unambiguous mathematical theory. This analysis demonstrates the potential need for more s...

GFDL’s CM2 Global Coupled Climate Models. Part IV: Idealized Climate Response

The climate response to idealized changes in the atmospheric CO2 concentration by the new GFDL climate model (CM2) is documented. This new model is very different from earlier GFDL models in its parameterizations of subgrid-scale physical processes, numerical algorithms, and resolution. The model was constructed to be useful for both seasonal-to-interannual predictions and climate change resear...

Normal forms for reduced stochastic climate models.

The systematic development of reduced low-dimensional stochastic climate models from observations or comprehensive high-dimensional climate models is an important topic for atmospheric low-frequency variability, climate sensitivity, and improved extended range forecasting. Here techniques from applied mathematics are utilized to systematically derive normal forms for reduced stochastic climate ...