Original paper

A simple dynamical model of cumulus convection for data assimilation research

Würsch, Michael; Craig, George C.

Meteorologische Zeitschrift Vol. 23 No. 5 (2014), p. 483 - 490

29 references

published: Dec 11, 2014
published online: Apr 4, 2014
manuscript accepted: Dec 23, 2013
manuscript revision received: Nov 25, 2013
manuscript received: Apr 16, 2013

DOI: 10.1127/0941-2948/2014/0492

BibTeX file


Open Access (paper can be downloaded for free)

Download paper for free


A simplified model for cumulus convection has been developed, with the aim of providing a computationally inexpensive, but physically plausible, environment for developing methods for convective-scale data assimilation. Key processes, including gravity waves, conditional instability and precipitation formation, are represented, and parameter values are chosen to reproduce the most important space and time scales of cumulus clouds. The model is shown to reproduce the classic life cycle of an isolated convective storm. When provided with a low amplitude noise source to trigger convection, the model produces a statistically steady state with cloud size and cloud spacing distributions similar to those found in radiative-convective equilibrium simulations using a cloud resolving model. Results are also shown for convection triggered by flow over an orgraphic obstacle, where depending on the wind speed two regimes are found with convection trapped over the mountain, or propagating downstream. The model features prognostic variables for wind and rain that can be used to compute synthetic observations for data assimilation experiments.


Data AssimilationModellingShallow water dynamics