Extreme climate phenomenon could set intensity record between 2026 and 2027

Agências: warn that some scenarios allow temperature anomalies exceeding 3°C to be exceeded, characterizing an extreme climate event unprecedented in modern records.

Dinâmica oceanic driving warming

The phenomenon is driven by a powerful wave of Kelvin, a movement of hot underwater masses moving from the west to the east of the Oceano Pacífico. Desde January, sea surface temperatures in the central and eastern equatorial Pacífico increase rapidly, creating favorable conditions to further intensify development. In May, the temperature anomaly reached levels comparable to the super El Niños of 1997 and 2015, two of the most severe events recorded in decades.

Western tropical Oceano Pacífico warmed more intensely than before previous record episodes. NOAA’s Modelos computations project that the temperature anomaly in eastern Oceano Pacífico could reach +4.5°C by fall 2026. Esse plateau would represent the strongest El Niño since 1877-1878, when modern meteorological records began to be systematically documented. Scientists highlight that western tropical Pacífico presents unprecedented conditions to amplify the phenomenon.

Transformações climate in América of Norte

Climate models already record changes characteristic of El Niño in the North American atmosphere. Meteorologistas predict the formation of a persistent low pressure area over the east of Estados Unidos and Canadá during the summer of 2026, a trend that could result in milder weather in these regions. Simultaneamente, central and western states will face risk of intense heat while southern Estados Unidos will see significant increase in precipitation. The changes in atmospheric circulation caused by El Niño reposition pressure systems, altering humidity patterns and distribution of continental rainfall.

European Padrões with high pressure and regional variations

Para to Europa, forecasts indicate the formation of a high pressure zone over the central and western regions of the continent. Essa configuration will increase the likelihood of hot, dry weather in many European countries during the summer of 2026. Meteorologistas expect the pattern to persist across seasons until El Niño peaks in the fall-winter of 2026-2027.

Paradoxalmente, the western, northwestern and southern regions of the European continent may experience increased precipitation when El Niño reaches its maximum intensity. The climate dynamics of El Niño generate varied and often contradictory regional effects, depending on latitude and local geographic characteristics.

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Cronograma development and expected intensity

The main forecasting centers have established converging schedules for the evolution of the phenomenon over the next few months:

• Desenvolvimento progressive thermal anomalies between January and June 2026.
• Intensificação accelerated between June and September 2026.
• Pico maximum between October 2026 and March 2027.
• Dissipação gradual from April 2027.

Alguns scientific scenarios allow anomalies to exceed +3°C, vastly exceeding the El Niño super threshold. Esses plateaus have rarely been documented in modern historical records, making the event climatically relevant to multiple global socioeconomic sectors.

Precedentes historical and economic impacts

The 1997-1998 super El Niño caused economic losses in excess of $90 billion globally, affecting agriculture, fisheries and infrastructure in dozens of countries. The 2015-2016 event generated similar impacts, with severe droughts in África and Ásia of Sul combined with extreme rainfall in other regions. Current Previsões suggest that the 2026-2027 phenomenon could match or surpass these precedents in magnitude and scope.

Centros meteorologists continue to monitor the evolution of ocean temperatures through real-time data from the satellite and ocean buoys. The global scientific community remains alert to any significant deviation from current projections, as climate anomalies of such magnitude require constant vigilance and frequent updating of predictive models.