Systematic climate model rainfall biases over southern Africa: links to moisture circulation and topography

Journal article

An important challenge for climate science is to understand the regional circulation and rainfall response to global warming. Unfortunately, the climate models used to project future changes struggle to represent present day rainfall and circulation, especially at a regional scale. This is the case in southern Africa, where models from the Coupled Model Intercomparison Project Phase 5 (CMIP5) overestimate summer rainfall by as much as 300% compared to observations and tend to underestimate rainfall in Madagascar and the southwest Indian Ocean. In this paper, we explore the climate processes associated with the rainfall bias; with the aim of assessing the reliability of the CMIP5 ensemble and highlighting important areas for model development. We find that the high precipitation rates in models which are wet over southern Africa are associated with an anomalous northeasterly moisture transport (~10-30 g kg-1 s-1) which penetrates across the high topography of Tanzania and Malawi and into subtropical southern Africa. This transport occurs in preference to a southeasterly recurvature towards Madagascar which is seen in drier models and reanalysis data. We demonstrate that topographically related model biases in low-level flow are important for explaining the intermodel spread in rainfall; wetter models have a reduced tendency to block the oncoming northeasterly flow compared to dry models. The differences in low-level flow amongst models are related to upstream windspeed and model representation of topography, both of which should be foci for model development.

Authors: Munday, C; Washington, R

• Publication status: Published
• Peer review status: Peer reviewed
• Publisher: American Meteorological Society
• Journal: Journal of Climate More from this journal
• Volume: 31
• Pages: 7533-7548
• Publication date: 2018-08-07
• Acceptance date: 2018-06-15
• DOI: 10.1175/JCLI-D-18-0008.1
• EISSN: 1520-0442
• ISSN: 0894-8755
• Keywords: Africa; atmosphere; coupled models; precipitation