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El Nino 'wrecking ball' could cause record Pacific temperature rise, UN says
- On Wednesday, the World Meteorological Organization warned of an unprecedented El Niño event, predicting central Pacific temperatures will rise 3.8 degrees Celsius above normal between November and January, peaking around December.
- WMO Secretary-General Celeste Saulo noted the event surpasses previous records of around 3 degrees Celsius, describing the weather pattern as a 'wrecking ball' that will cause floods and severe droughts worldwide.
- United Nations Under-Secretary-General for Humanitarian Affairs and Emergency Relief Coordinator Tom Fletcher warned that 50 million people could face increased hunger across Latin America, Africa, and Asia due to extreme weather impacts.
- Disruptions to rainfall patterns will trigger severe drought in Southeast Asia and Southern Africa starting in November, while the WMO projects increased rainfall and flooding risks for Latin America.
- While El Niño is a natural climate cycle, global warming can intensify these events; Kelvin waves have already battered Long Beach, California, in recent weeks, signaling the pattern's real-world reach.
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260 Articles
260 Articles
World Meteorological Organization says extreme weather need not become humanitarian emergency; UN aid chief warns El Nino is 'behemoth', 'wrecking ball'
·Ankara, Türkiye
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El Niño is a natural phenomenon that returns every two to seven years.
·Warsaw, Poland
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The agency warned about the risk of droughts, floods and extreme heat episodes in different regions of the planet.
·Las Condes, Chile
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The UN warns that El Niño will have no intensity seen for 40 years; it will pay to the emergency fund.
The Pacific threatens to become as hot as never before, which has an impact on the global weather. The United Nations now strongly warns of the consequences of the so-called El Niño and speaks of further conflicts, displacements and migration.
Coverage Details
Total News Sources260
Leaning Left25Leaning Right39Center42Last UpdatedBias Distribution40% Center
Bias Distribution
- 40% of the sources are Center
40% Center
L 23%
C 40%
R 37%
Factuality
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