In recent years, AI has sparked a true revolution in the field of technology. From various industrial sectors to diverse consumer expectations, the availability of AI integration solutions has significantly increased. However, AI’s potential is not limited to the entertainment industry, as many might assume, but extends to far more critical areas, such as climate change. Here, AI climate emerges as a new alternative and an opportunity to explore and implement methods that help preserve nature and reduce environmental damage.

Climate Change Tendencies

Our world is gripped by continuous global warming. Scientists observe that glaciers in Greenland and the Arctic are melting, and the scale of this melting is increasing, posing even greater risks. According to Climate, the warming rate since 1982 has been more than three times faster, and statistics show that the ten hottest years in recorded history occurred in the past decade, i.e., 2014-2024.

It is evident that today there is still a lack of effective and precise tools for predicting future ice melt. Current models remain too slow, complex, and diverse, often yielding vastly different results that hinder the development of measures to address glacier melting.

Meanwhile, AI, which has evolved and significantly advanced over the years with incredible computational power, could serve as an alternative to traditional models. AI climate can process large datasets and derive valuable insights from them.

Ways in Which AI Can Help in Climate Change

AI tools can be applied in various ways to combat climate change, ranging from direct modelling for melting glaciers to tools designed to optimize the productivity of alternative, eco-friendly energy sources:

Climate Forecasting

AI modelling tools monitor vast datasets and provide high-quality, accurate climate forecasts, surpassing traditional methods. These forecasts contribute to better decision-making processes, allowing responsible individuals to develop effective climate action plans. Additionally, new AI models present real-time glacier melting rates, enabling a more accurate assessment of the current situation.

It is important to note that the effectiveness of such models depends on their training and data quality. The more comprehensive and accurate the data, the more precise the forecasts. Therefore, in this field, AI climate serves as a faster alternative but also presents challenges regarding the accuracy of future predictions.

Reducing Carbon Footprint

This is one of AI’s most crucial potentials in the context of climate change. AI algorithms assist in various projects by planning and optimizing energy-efficient construction methods, reducing pollutant emissions from transportation, and even integrating solutions that capture carbon dioxide from the environment.

Renewable Energy Optimization

AI analytical tools can enhance the efficiency of renewable energy sources (wind, solar). By monitoring weather data and analysing potential energy demand, AI can improve the supply of such energy.

Environmental Monitoring

By utilizing satellite data and sensor information, AI climate tools detect and model trends in deforestation, changes in wildlife habitats, and make predictions about natural disasters. AI models operate in real time, allowing for a faster response to many crisis situations.

Waste Recycling

According to the United States Environmental Protection Agency, waste accounts for 16% of global greenhouse gas emissions. AI-driven systems analyse waste processing and recycling facility operations, optimizing the flow of waste into recycling processes.

Final Thoughts

As we can see, AI integration in climate change efforts holds immense potential. It opens up new possibilities not only for addressing the direct consequences of climate change but also for incorporating AI into sustainable solutions. While AI systems bring certain risks and limitations, acknowledging and addressing these challenges makes AI climate a promising tool for creating a cleaner environment and mitigating the effects of climate change.

If you are interested in this topic, we suggest you check our articles:

• AI in Healthcare: 8 Use Cases Making a Positive Impact
• Entertainment Industries Being Revolutionized By AI
• AI in Medical Research: Exploring Its Impact and Innovations

Sources: Climate, Greenly, ScienceNordic, Word Economic Forum