Scientists, including Indrani Roy from University of Exeter, in the UK studied 23 different mathematical models designed to predict information about the climate.
They compared them with human observations about the climate and found that models are able to make accurate predictions about the monsoon rain in Central North East India.
They found that data from tropical Pacific Ocean could help them predict the behaviour of the Summer Monsoon in Central North East India. The models did not allow researchers to make the same predictions for other regions in India.
"Our findings will improve prediction skills which will contribute to better business performance, economic prosperity and wealth creation. It can directly affect the ability of the sub-continent to anticipate and adapt to changes," she said.
The Indian Summer Monsoon has a major impact on agriculture, and therefore the economy, in India, and is responsible for 80 per cent of the country's annual rainfall. Farmers rely on this seasonal rain to grow essential crops.
Having more accurate forecasts means farmers can choose the crops and plans which are likely to be most successful. It can also help farmers and policymakers plan how to store the excess water.
The Indian Summer Monsoon is influenced by the El Nino Southern Oscillation (ENSO), which causes extreme weather in different parts of the world, researchers said.
The ENSO is mainly caused by fluctuations in sea surface temperature around central to east tropical Pacific Ocean. There are two opposite phases, El Nino and La Nina.
The findings could allow government and policymakers to make more informed decisions which will give better protection to communities, farmers and businesses.
It will enable them to make policy which will mitigate the impact of extreme and unusual weather, researchers said.
The findings were published in the International Journal of Climatology.
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