El Niño's influence maintains mild rains and temperatures in Vale do Paraíba; forecast for November
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El Niño's influence maintains mild rains and temperatures in Vale do Paraíba; forecast for November

Residents of Vale do Paraíba and surrounding areas should expect to wait longer for the characteristic spring heat. The excess clouds and high frequency of rainfall have kept temperatures moderate in the area, and the projection for November points to a similar scenario, with moments of warming, but without long sequences of hot days.

Meteorologist Josélia Pegorim, from Climatempo, attributes this climatic pattern to changes in wind circulation caused by El Niño, a climate event that affects weather conditions in Brazil. She had anticipated that October would bring excessive cloudiness and precipitation, which would prevent a significant increase in temperatures.

Why is it raining so much and not getting hotter?

As explained by Josélia, the increase in clouds and rain in Vale do Paraíba began to intensify in September, after several cold fronts passed over the coast of São Paulo. Even after these systems passed, the maritime air circulation continues to bring moisture to eastern São Paulo, which facilitates the formation of large amounts of clouds.

The specialist detailed that when a cold front passes, a maritime air circulation enters that injects a lot of humidity into eastern São Paulo state, generating many clouds even after heavy rain stops. In October, besides the cold fronts, other meteorological systems contributed to regional instability. The constant presence of clouds and rain reduces solar incidence and hinders temperature increases.

Josélia emphasized that although a typical October can be hot, the excess clouds and rain, resulting from El Niño, have prevented temperatures from rising too much.

What will the weather be like in November?

The forecast indicates that November will also feature recurring episodes of rain and cloudiness in Vale do Paraíba, which tends to inhibit temperature rises. Although the month is usually hotter than October, the expectation is that periods of heat will be brief. Josélia warned that there will be some heat peaks, but one should not count on prolonged days of sun and heat.

Although the region may record days with higher temperatures, the probability is that these moments will not last long. She mentioned that it would be difficult to have an entire week with heat around 30 degrees in November. The last week of October should also bring climatic changes, as a new cold front is expected to reach São Paulo on November 1st. After the passage of this system, the trend is for more cloudy days and mild temperatures, although in early November temperatures may rise again, keeping the heat period short.

El Niño is expected to continue influencing the climate

According to Josélia Pegorim, the influence of El Niño on the Brazilian climate should persist throughout spring and summer, potentially extending into part of the following autumn. The meteorologist informed that states such as São Paulo, Paraná, and Mato Grosso do Sul are experiencing days of great instability.

She emphasized that the excess cloudiness and rain seen in October constitutes an atypical scenario for the period, but one that aligns with what was predicted for this October. Thus, the expectation for November is a month marked by the alternation between rain, cloudiness, and warmer days, without a lasting predominance of sun and heat.

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Scientists develop method to predict El Niño up to one year in advance
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Scientists develop method to predict El Niño up to one year in advance

Scientists have identified a method capable of determining the reliability of El Niño and La Niña forecasts with a horizon of up to one year. This new discovery has the potential to improve warnings about extreme weather events, granting more time for communities and authorities to prepare against droughts, floods, and other environmental consequences.

The study, published in the scientific journal Science Advances this Friday (23), analyzed a set of over 7,500 historical forecasts generated by climate models from nine countries. The researchers concluded that the conditions observed in the Pacific Ocean at the time a forecast begins significantly affect its accuracy in subsequent months.

The most relevant finding demonstrated that forecasts initiated under La Niña conditions maintained a good level of performance, even when attempting to anticipate the behavior of the climate system for an entire year. In contrast, those forecasts that began under neutral conditions proved considerably less reliable.

El Niño and La Niña represent opposite phases of the phenomenon known as the El Niño-Southern Oscillation (ENSO), a natural climate pattern linked to variations in the sea surface temperatures of the tropical Pacific. These changes impact atmospheric circulation, potentially altering rainfall and temperature patterns in various parts of the globe.

Although these events generally peak around December and can be predicted with certainty about six months in advance, projecting them over longer periods remains a scientific challenge.

The research indicates that monitoring the initial state of the ocean helps distinguish between forecasts with a higher chance of being correct and those that require greater caution. According to Mandy Freund, a co-author of the study and a researcher at the University of Melbourne (Australia), the stable performance of forecasts initiated during La Niña suggests that these circumstances make the tropical Pacific system more predictable over the following year.

The ability to anticipate these phenomena with greater certainty can assist governments, emergency services, and populations in planning preventive actions, organizing resources, and mitigating risks. However, scientists emphasize that there are still steps to complete before this discovery can be directly implemented in daily forecasts, although the study already offers a path to refine alert systems and increase preparation time for seasonal climate changes.

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