SCIENCE OF SEASONAL CLIMATE PREDICTION
Climate change and seasonal predictions
by Ian Smith, CSIRO Marine and Atmospheric Research, Water for a Healthy Country Flagship Program
Dr Ian Smith is a Principal Research Scientist within the CSIRO Climate, Weather and Ocean Prediction Theme. His research includes modelling and diagnostic studies of Australian climate drivers, seasonal and multi-seasonal forecasting using a variety of methods, and the assessment of skill and value of forecasts. He is a coordinator of CSIRO’s contribution to the Indian Ocean Climate Initiative (IOCI) research program, coordinator of the South East Australian Climate Initiative (SEACI) program on seasonal predictions, contributor to the Antarctic Climate and Ecosystems Cooperative Research Centre and an Honorary Research Fellow with The University of Melbourne.
The main source of seasonal predictability in the Australian region is related to variability
associated with ENSO (El Niño Southern Oscillation) events. Climate change may affect these
events in terms of frequency, duration, amplitude, phase locking to the seasonal cycle and the
response of the hydrological cycle (Smith et al. 1997). A brief overview is presented of recent
studies (eg. Cane, 2005) which address this issue. These studies also indicate deficiencies in our
understanding and ability to model ENSO events and point to priority research areas that need
attention. Finally, the existence of significant trends in Australian seasonal rainfall over recent
years (Smith, 2004) suggests that current baselines are likely to be inappropriate. An example is
presented which indicates how this could affect current seasonal
rainfall outlooks.
References
Mark A Cane, M A (2005). The evolution of El Niño, past and future. Earth and Planetary Science Letters 164 (2004) 1–10.
Smith, I N (2004). Trends in Australian rainfall - are they unusual? Australian Meteorological Magazine, 53(3), 163–173. Smith, I N, Dix, M and, Allan R J (1997). The effect of greenhouse SSTs on ENSO simulations with an AGCM. Journal of Climate, 10, 342–352.



