According to this article, analyses of in situ station data and satellite observations of precipitation have identified another problematic trend: main growing-season rainfall receipts have diminished by 15% in food-insecure countries clustered along the western rim of the Indian Ocean. Occurring during the main growing seasons in poor countries that depend on rain-fed agriculture, these declines are societally dangerous.

Malaria is a major public health threat to the African continent. Rainfall and temperature are two of the major factors triggering malaria epidemics in warm semi-arid and high altitude epidemic risk areas. The ability of the mosquitoes to transmit Plasmodium spp. is dependent upon a series of biological features generally referred to as vectorial capacity. In this study, the vectorial capacity model (VCAP) has been expanded to include the influence of rainfall and temperature variables on malaria transmission potential.

This conference paper explores food market vulnerability and security as related to rainfall shocks across Sub-Saharan Africa by applying econometric methods across a wide range of developed and developing countries. The paper is focused on methods of improving access to affordable food supplies for developing countries during times of dire need.

MarkSimGCM is a stochastic weather generating tool, which uses the well-known MarkSim application, a tool that generates simulated daily weather data specifically designed for use in the tropics, including rainfall, maximum and minimum temperatures and solar radiation. It provides files of daily weather data that are completely compatible with the DSSAT (Decision Support System for Agrotechnology Transfer) crop modeling system