Seasonal rainfall forecasting is important for water resources management, agriculture, and
disaster prevention. Our study aims to provide an automated deep learning method for the …

Drought is a slow onset, recurring and inevitable feature of South Africa's climate. This
research deconstructs the meteorological processes underlying drought and its impacts on …

Evidence is provided of the successful application of a single atmospheric model code at
time scales ranging from short-range weather forecasting through to projections of future …

Hydrological extremes occupy a large spatial extent, with a temporal sequence, both of
which can be influenced by a range of climatological and geographical phenomena …

Sugarcane industries worldwide are exposed to uncertainty associated with variable
climate. This variability produces impacts across an integrated value chain comprising of the …

The rainfall mean state and variability of the tropical Southern Hemisphere are strongly
affected by the Tropical Convergence Zones. Unlike the South Pacific and South Atlantic, the …

A study of the skill of the ECHAM version 4 atmospheric general circulation model and two
reanalyses in simulating Indonesian rainfall is presented with comparisons to 30 years of …

Ensemble hydrological predictions are normally obtained by forcing hydrological models
with ensembles of atmospheric forecasts produced by numerical weather prediction models …

The importance of anchoring seasonal climate forecasts to user needs is examined in this
paper. Although it is generally accepted that seasonal climate forecasts have potential …

Daily station rainfall data in South Africa from 1936 to 1999 are combined into
homogeneous rainfall regions using Ward's clustering method. Various rainfall …