juin 8, 2025
Home » The weather events in the ocean can be estimated 5 months in advance – Cyprus Newspaper

The weather events in the ocean can be estimated 5 months in advance – Cyprus Newspaper

The weather events in the ocean can be estimated 5 months in advance – Cyprus Newspaper


The artificial intelligence -backed system developed by scientists will be able to predict when the Atlantic Nino and Benguela Nino Nino Nino Nino, which caused negative consequences on the Atlantic Ocean, will be able to predict 5 months ago.

El Nino and La Nina, which occurred in the Pacific Ocean, on the climate, while the impact of the weather events increases every year, the effects of the weather events in different parts of the world are increasingly important due to changing climatic conditions.

At the beginning of these weather events, which affect a smaller region than El Nino and La Nina, the Atlantic Nino and Benguela Nino in the Atlantic Ocean are.

According to the American National Ocean and Atmospheric Department (Noaa), the Atlantic Nino, called El Nino’s younger brother, is influential in the northeast of the West African coast and northeast of South America, especially in the northeast of Brazil.

Another similar air event in the Atlantic Ocean is called Benguela Nino, and especially in Africa, Angola and Namibia. These two air events play a negative role on the economy of the region by affecting the climatic conditions on the shores of the Atlantic Ocean.

These regions, which host some of the richest sea ecosystems in the world, are facing increasing threats due to climate extremes such as Atlantic Nino and Benguela Nino. Abnormal warming or cooling events in the ocean waters can seriously disrupt sea life, fishing efficiency and precipitation.

Thanks to a study conducted by various universities and research centers in Europe and Africa, when the Atlantic Nino and Benguela Nino in the Atlantic Ocean will occur until 5 months ago thanks to artificial intelligence practices.

Early Warning Platform will be developed

One of the next steps of the research, which has been created a deep learning -based artificial intelligence model by using 90 -year ocean temperature data, will develop an internet -based platform where predictions will be shared. Thus, fishermen, regional authorities and coastal planners will easily access early warnings of such events.

Marie-Lou Bacherery, a researcher of the Euro-Mediterranean Center on Climate Change), Marie-Lou Bacherery, explained the details of the study.

Bachelery stated that Atlantic Nino and Benguela Nino has a significant effects on the movement, atmospheric arrangements and precipitation regimes in the Atlantic Ocean, and usually warms the ocean surface and ocean water to a certain depth. he said.

Bacherery said that after such weather events along the West African coasts, the heating in the oceans negatively affected the living conditions of the fish and thus fishing activities.

Bachelery underlined that fishing in West Africa has a great place in the economy.

Climate Change Effect

Bachelery mentioned the impact of climate change on these weather events, “These events occur naturally, but climate change can affect the severity and frequency of these events. Most likely, a decrease in the number of such events is expected to be a decrease in the tropical Atlantic, but there may be a exact situation for the Benguela region.” he said.

Bachelery said the following about the benefits of being able to predict these weather events about 5 months in advance:

« Let’s say that the fishing season began and everyone was fishing intensively. Then the Atlantic Nino Ocean incident developed and the remaining fish died because of this event. In this case, the next year, the new fish population does not occur and the ecosystem will be damaged. Here is the purpose of these estimation systems, the event is developing in advance, » maybe this year, « maybe this year. »

Contribution of artificial intelligence

Bachelery, who first explained that they are working on climatic models in traditional ways for the project, said that they decided to benefit from artificial intelligence on the insufficiency of these models in the analysis of complex data.

Bachelery completed his words as follows:

“Artificial intelligence made things very easy. One of the most important reasons for this is that deep learning can perceive complex, non -linear relationships between systems and weather events. Traditional models can not reflect such complex connections sufficiently. Deep learning can achieve this. Artificial intelligence is now increasingly successful in climatic science because it gives successful results in many different fields.”



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