By leveraging data from these satellites and applying AI algorithms to analyze and interpret the information collected, meteorologists can improve the accuracy and reliability of weather forecasts, ultimately helping to mitigate the impacts of climate change.

Dr Wandile Nhlapho thank you for your contribution to the discussion

AI is becoming a game-changer in weather forecasting by:

• Finding hidden patterns: AI can analyze massive datasets of weather data, including historical records, real-time observations, and satellite imagery. This allows it to identify complex patterns and relationships between different weather phenomena that might be missed by traditional methods.
• Faster and cheaper predictions: AI models can run on less powerful computers compared to complex physics-based models. This translates to faster forecasts and lower computational costs. For instance, Google DeepMind's GraphCast model can make 10-day predictions in under a minute on a single computer [AI can now outperform conventional weather forecasting – in under a minute, too].
• Improved nowcasting: AI excels at short-term predictions (nowcasting) for the next few hours. This can be crucial for issuing timely warnings about sudden weather events like thunderstorms.

Here's how AI aids in tackling climate change:

• Better predictions of extreme events: AI can improve the prediction of floods, droughts, heatwaves, and cyclones. This allows for better preparedness and mitigation strategies, reducing risks and saving lives.
• Climate modeling: AI can be used to analyze climate models and improve their accuracy in predicting future climate scenarios. This can inform policy decisions for reducing greenhouse gas emissions.

Artificial satellites for weather prediction:

Several types of satellites play a vital role in weather forecasting:

• Geostationary satellites: These satellites stay fixed above a specific point on Earth's equator, continuously monitoring weather patterns and cloud cover.
• Polar-orbiting satellites: These satellites circle the Earth in a polar orbit, providing high-resolution images of the entire planet's atmosphere, including temperature, moisture levels, and wind speeds.
• Environmental satellites: These satellites carry specialized instruments to measure atmospheric gases, precipitation, and other environmental factors that influence weather patterns.

By combining data from AI and these satellites, meteorologists can create a more comprehensive picture of the current and future weather conditions.

Dr Murtadha Shukur thank you for your contribution to the discussion

I don't believe that AI tools might help a lot weather forecasting, a large collective effort is required

https://www.academia.edu/105224705/LearningforAll_1_

AI can make weather forecasts more accurate by analyzing large datasets and identifying patterns that humans might miss. AI models can learn from past weather data to predict future conditions more precisely.

Satellites play a crucial role in weather prediction. They provide a global view of the atmosphere and monitor things like cloud cover, temperature, and wind patterns.

Different types of satellites, such as weather satellites and Earth observation satellites, collect data that can be used in weather forecasting models to give more accurate predictions.

Overall, the combination of AI's data analysis capabilities and the wealth of information from satellites allows for more reliable and detailed weather forecasts. This can help us better prepare for and respond to extreme weather events driven by climate change.

Dr Jean D' Amour Hagabimana thank you for your contribution to the discussion

The AI can identify patterns in the data that are not easy to see in equations. It can then use these findings to improve the accuracy of weather forecasts. Graph Cast is also about 1,000 times cheaper in terms of energy efficiency than conventional weather forecasting methods. By analyzing vast amounts of climate data, it assists governments and farmers in making informed decisions, potentially mitigating the impacts of climate-related events. A major benefit of AI in climate change mitigation is its potential to help reduce carbon footprints across various industries. AI algorithms help in designing energy-efficient buildings, planning low-emission transportation routes, and even in carbon capture technologies. A major benefit of AI in climate change mitigation is its potential to help reduce carbon footprints across various industries. AI algorithms help in designing energy-efficient buildings, planning low-emission transportation routes, and even in carbon capture technologies.The use of artificial intelligence (AI) can contribute to the fight against climate change. Existing AI systems include tools that predict weather, track icebergs and identify pollution. AI can also be used to improve agriculture and reduce its environmental impact. Polar-orbiting satellites orbit at low-altitude around the North or South Pole and monitor the entire planet over the course of 10 days to 1 month. The information and data from these satellites are used in weather forecasting. A weather satellite or meteorological satellite is a type of Earth observation satellite that is primarily used to monitor the weather and climate of the Earth. Satellites can be polar orbiting (covering the entire Earth asynchronously), or geostationary (hovering over the same spot on the equator). Geostationary satellites provide the images used to identify current weather patterns and carry out shorter- term forecasts.