10A.4A Why Do Global Climate Models Struggle to Represent Low-Level Clouds in the West African Summer Monsoon?

Wednesday, 10 January 2018: 11:15 AM
616 AB (Hilton) (Austin, Texas)
Andreas H. Fink, Karlsruhe Institute of Technology, Karlsruhe, Germany; and P. Knippertz, A. Kniffka, G. Pante, and L. Hannak

Climate models struggle to realistically represent the West African monsoon (WAM), which hinders reliable

future projections and the development of adequate adaption measures. Low-level clouds over

southern West Africa (5°–10°N, 8°W–8°E) during July–September are an integral part of the WAM through

their effect on the surface energy balance and precipitation, but their representation in climate models has

received little attention. Here 30 (20) years of output from 18 (8) models participating in phase 5 of the

Coupled Model Intercomparison Project (Year of Tropical Convection) are used to identify cloud biases and

their causes. Compared to ERA-Interim reanalyses, many models show large biases in low-level cloudiness of

both signs and a tendency to too high elevation and too weak diurnal cycles. At the same time, these models

tend to have too strong low-level jets, the impact of which is unclear because of concomitant effects on

temperature and moisture advection as well as turbulent mixing. Part of the differences between the models

and ERA-Interim appear to be related to the different subgrid cloud schemes used. While nighttime tendencies

in temperature and humidity are broadly realistic in most models, daytime tendencies show large

problems with the vertical transport of heat and moisture. Many models simulate too low near-surface relative

humidities, leading to insufficient low cloud cover and abundant solar radiation, and thus a too large diurnal

cycle in temperature and relative humidity. In the future, targeted model sensitivity experiments will be

needed to test possible feedback mechanisms between low clouds, radiation, boundary layer dynamics,

precipitation, and the WAM circulation.

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