Statistical Model


Main Page

About Me

Research

Links

Contacts

Statistical Models of Cloud Regimes

This section provides a brief outline of my work into the spatiotemporal coherence of tropical convection in the observation and in statistical models. This is still work in progress.

Snapshots of the regime field from a statistical model
Figure 1: Snapshots at different timesteps of the regime field in a statistical model.

In global-scale climate models, convection within a grid box cannot be resolved and thus have to be represented through convective parametrisation schemes. Most schemes, however, are diagnostic and deterministic. 'Diagnostic' means that convection in a grid box is a function of the large-scale variables within that grid box only, without any time memory or spatial coherence explicitly encoded. It is assumed that coherence in convection is achieved through the coherence in large-scale variables. 'Deterministic' means a one-to-one relationship between convection and the large-scale variables.

Our analysis into the properties of tropical convection suggests that, at the scales typical of global climate models, the relationship between convection and large-scale variables has a stochastic element to it, as opposed to being purely-deterministic. Furthermore, the lack of time memory and spatial dependence is recognised as a problem in convective parametrisation (Yano et al. 2012; Moncrieff et al. 2012), with biases such as in precipitation distributions and intraseasonal variability possibly associated with it.

Here, we briefly investigate the diagnostic assumption through a simple Markov chain model, which models a regime field through transition probabilities conditioned upon the large-scale variables. This model uses the IR-only regimes at 3-hour timesteps, and reduce the regimes into three groups: G1 (CD), G2 (CC + IM), and G3 (S*).

Figure 1 shows one realisation of the statistical model. While the statistical model is able to capture the geographical distribution of the regime groups, it produces a regime field that is too noisy. There is an absence of spatial organisation in the modelled convection. This brings into question whether a purely-diagnostic convective parametrisation as is employed by most global-scale climate models are capable of adequately representing convection.

Various aspects of different models are being studied to further investigate this question.

Last updated: 19/09/14