However distant from smallholders livelihoods (and agricultural research) this priority may appear, abundant literature points to the need to improve the representation of land forcing in climate models, if higher predictability of local and regional climates is to be attained. The implementation of this consensual effort has possibly been delayed by the lack of extensive satellite time series but is quickly picking up as the climate science community now strongly acknowledges the role of 'new and/or better existing observational networks as the drivers of model improvement and thus of improved climate anomaly predictions' (Grassl 2005). Differing results by Wang et al. (2004) and Crucifix et al. (2005) on the impact of vegetation dynamics on rainfall variability ('memory' or 'after-burner' effect) provide encouraging signs that significant progress is underway, with important breakthroughs possible in the coming years.
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