Weather: New tropical cyclone model could 'save lives', can forecast up to four months before the season

The model was published on Wednesday.
The model was published on Wednesday. Photo credit: Getty

Tropical cyclones in the Pacific can now be forecast up to four months before the season starts. 

A new free online model published on Wednesday has been touted to help Pacific nations better prepare for future damage. 

It was developed by scientists from NIWA in New Zealand and the University of Newcastle in Australia.

Dr Andrew Magee, from the University of Newcastle's centre for water, climate, and land, says the model can look ahead from July.

The model looks at interactions between oceans and atmospheres, Dr Magee said.

"The provision of accurate and timely seasonal tropical cyclone outlooks is essential for informed decision making, and if we can just make small incremental steps in reducing disaster risk and informing the population of the risks associated with the coming cyclone season, then it has the potential to save lives.

Dr Andrew Magee.
Dr Andrew Magee. Photo credit: University of Newcastle

"Our tailored and bespoke tropical cyclone guidance for Pacific Island nations and territories will improve early warnings and support preparations ahead of the tropical cyclone season."

Tropical cyclones account for 76 percent of disasters across the Southwest Pacific. Dr Magee said cyclones are expected to get worse with climate change.

"Rising sea levels and changes to tropical cyclone related exposure and vulnerability will amplify future tropical cyclone related impacts for Pacific Island nations and territories," he said. "Our new outlook plays an important role in building a more resilient future for Pacific Island communities."

While the model won't replace advice from local meteorological services, Dr Magee said it will allow Government and aid agencies to prepare enough supplies for the season ahead.

"Tropical cyclones are major catastrophes and anything we can do to improve our understanding of what the upcoming season will look like is really beneficial."

The model was published in the Scientific Reports journal.