Australian experts find formula to predict rain (Release at 2100 GMT Wednesday, Nov 20) LONDON, Nov 20 (Reuter) - Australian climate experts said on Wednesday they had found a simple formula for predicting long-term rainfall around the world, based on the Pacific Ocean's El Nino current. The current, which appears in varying strengths and patterns off the western coast of South America, has been blamed for causing weather disruptions from storms to droughts. Roger Stone and colleagues at the government's Agriculture Production Systems research Unit in Toowoomba, Queensland said they had devised a calculation using the current. "The system provides rainfall probability distributions three to six months in advance for regions worldwide, and is simple enough to be incorporated into management systems now," they wrote in a report in the science journal Nature. The El Nino/Southern Oscillation is the name given to a clear variation in rainfall and ocean currents in the southern hemisphere. Stone's group used it and the Southern Oscillation Index, a calculation based on the differences in atmospheric pressure between Tahiti and Darwin, Australia. They analyzed this index back over 120 years and compared it to rainfall records. "The maps show some remarkable features," they wrote in a report in the science journal Nature. For example, a certain "negative" phase of the index in June and July correlates with a low chance over the next three months of unusually high rainfall in many regions, including eastern Australia, Indonesia, the Caribbean, India, Vietnam, northern Russia and western Africa. "Conversely, many world regions such as southwestern and north-central United States, Iran, central Asia and parts of South America have relatively high probabilities of exceeding their respective climatological median rainfalls," they added. They said their formula could have wide uses. "These simple "forecast' maps may have direct relevance to many aspects of human endeavour such as food production and commodity marketing; they may be readily applied to agriculture," they wrote. They said it had already been used to help Australian wheat farmers plan their risks and had increased profits for some.