El Niño could cost Hong Kong US$300 billion and shorten life expectancy: study

A joint study by Hong Kong and Singapore universities warns that the El Niño phenomenon could cost Hong Kong up to US$300 billion in economic losses over the 21st century. It also finds that Hongkongers born during the strong El Niño events of 1982-83 and 1997-98 could see their life expectancy reduced by five to seven months. Published in Nature Climate Change, the research describes El Niño—a Pacific Ocean warming pattern—as a “persistent driver of health and economic loss”, beyond a mere short-term weather anomaly.

A study led by Singapore’s Nanyang Technological University, in collaboration with City University of Hong Kong, examined over six decades of mortality records and economic data from 10 high-income Pacific Rim countries and regions. These include Hong Kong, Singapore, Japan, Australia, Canada, South Korea, the United States, Chile, and Taiwan. The research, published in the journal Nature Climate Change, concludes that El Niño—a climate pattern marked by Pacific Ocean warming—is a “persistent driver of health and economic loss”, rather than just a short-term weather anomaly.

For Hong Kong specifically, extreme weather from El Niño could result in losses of up to US$300 billion over the 21st century. On health impacts, the study estimates life expectancy losses of 0.5 years for those born during the 1982-83 El Niño and 0.4 years for the 1997-98 event—equivalent to five to seven months. Across all studied areas, this translates to economic losses of US$2.6 trillion for the 1982-83 cohort and US$4.7 trillion for the 1997-98 group.

Researchers, including Benjamin Horton and Dr Dhrubajyoti Samanta, highlight the need to view El Niño's effects as enduring. The findings underscore the broader implications for Asia and other regions, urging better preparedness against such climate events amid global warming.

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Drought-stricken Andes landscape with forest fires and NOAA El Niño forecast map overlay, illustrating 90% probability warning.
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NOAA raises El Niño probability to 90% for September 2026

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The US National Oceanic and Atmospheric Administration (NOAA) updated its forecasts, estimating a 90% probability of El Niño starting in September 2026 and lasting through the year's final quarter. It raised the May-July projection from 25% in March to 61%. Experts warn of impacts in regions like the Caribbean, Andes, and Orinoquía, including forest fire risks from water deficits and thermal stress.

The Hong Kong Observatory said the developing El Nino could intensify four to seven tropical cyclones into super typhoons this year. It also forecast temperatures in the city could reach 35 degrees Celsius on Friday.

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International weather centers warn of a possible super El Niño between 2026 and 2027. Ideam reports a 61 percent chance the phenomenon will set in between late May and June.

A massive heat wave in the Western US and a potential El Niño event signal concerns for unpredictable extreme weather ahead. Despite 2025 ranking as the third-hottest year on record, it saw fewer climate disasters than expected.

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Jakarta Deputy Governor Rano Karno warned residents of a potential dengue fever (DBD) surge due to the El Nino phenomenon in the second half of 2026. He made the remarks during a simultaneous community cleanup in West Jakarta on Sunday.

James Hansen, a prominent climate scientist at Columbia University, has predicted that 2026 will become the hottest year on record, surpassing 2024 due to accelerating global warming and an impending super El Niño. He argues that current sea surface temperatures support this forecast despite ongoing La Niña cooling. Other experts urge caution amid forecast uncertainties.

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Colombia's thermal power plants are gearing up to boost liquefied natural gas imports ahead of El Niño's expected arrival in August, which could deplete hydroelectric reservoirs. Alejandro Castañeda, director of Andeg, said the Spec terminal will run at full capacity to support the grid. The move aims to prevent blackouts during the dry season.

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