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Tracking Indian Ocean climate patterns could improve early-warning systems for the El Nino phenomenon, helping save lives and billions of dollars lost each year to the severe weather it causes.

In a paper published in Nature Geoscience, researchers in Japan and France said their new forecast model could predict an El Nino 14 months ahead of time, several months earlier than with current methods.

"It is important because ... this helps to improve El Nino forecasts. It can save a lot of money for agriculture," said lead researcher Takeshi Izumo at the Research Institute for Global Change in Yokohama, Japan.

The El Nino phenomenon is a climate pattern that occurs periodically over the Pacific Ocean and is well known for the havoc it wreaks such as floods, droughts and other forms of severe weather.

The weather anomaly whacks countries around the Pacific and affects southern Africa and even Europe.

At present, scientists are unable to give little more than a few months' notice that an El Nino is in the offing, which is often too late for farmers, fishermen and others to prepare for weather disruption.

Developing countries heavily dependent on agriculture and fishing are most badly affected, though the 1997-1998 El Nino cost the US an estimated $25 billion, according to the US National Oceanic and Atmospheric Administration.

Izumo and his colleagues found that the Indian Ocean Dipole (IOD), the equivalent of an El Nino in the Indian Ocean, had a role in causing the phenomenon.

（中國日?qǐng)?bào)網(wǎng)英語點(diǎn)津 Helen 編輯）

About the broadcaster:

Renee Haines is an editor and broadcaster at China Daily. Renee has more than 15 years of experience as a newspaper editor, radio station anchor and news director, news-wire service reporter and bureau chief, magazine writer, book editor and website consultant. She came to China from the United States.