The summer solstice has arrived. The heatwave last summer still lingers in many people's memories, as it was the hottest summer in China since 1961. Nowadays, the frequent occurrence of extreme weather such as high temperature rainstorm around the country makes people worry: will this summer be hotter than last year? From a data perspective, the trend of global temperature rise is quite obvious. Although the La Niña phenomenon in the previous three years has temporarily "braked" the global temperature, the past eight years are still the hottest eight years on record. Among them, 2016 was the hottest year on record globally. Currently, multiple institutions predict that 2023 or 2024 is highly likely to surpass 2016, setting a new global record for the warmest. How should humans respond to climate change? Some scientists are counting on the current popularity of artificial intelligence. To cope with climate change, the first step is to "identify symptoms" and have the ability to accurately analyze and predict weather. But this is not an easy task, and artificial intelligence can precisely showcase its skills in the field of meteorological prediction. In April of this year, China released the artificial intelligence model "Fengwu", which achieved effective prediction of core atmospheric variables for over 10 days at high resolution for the first time. From the perspective of prediction accuracy, compared to traditional physical models, the 10 day prediction error of "Fengwu" has decreased by 19.4%; From the perspective of prediction efficiency, the best physical model HRES globally has a maximum effective prediction duration of 8.5 days, while the "Fengwu" model has reached 10.75 days; From the perspective of Resource efficiency, the existing physical models often need to be run on supercomputers, while the "Fengwu" large model can be run only with GPU, and the global high-precision forecast results for the next 10 days can be generated in 30 seconds. It can be seen from the practice of "Fengwu" that the application of artificial intelligence in the meteorological field and the mining of laws from Big data can complement the traditional mathematical equations and provide more accurate and practical weather forecasts for production and life. Climate change will make extreme weather more frequent, and artificial intelligence can be used to improve meteorological disaster warning systems, achieve early and accurate warning, and play a greater role in disaster prevention and reduction. To address climate change, in the long run, it is also necessary to "root out", that is, take various mitigation measures to address the causes of climate change. Many scientists believe that climate change is closely related to the greenhouse effect brought about by carbon emissions. As long as fossil fuel consumption in human society does not decrease, the trend of climate change will not stop. Strengthening the application of artificial intelligence can achieve more precise, stable, and effective emission reduction. Artificial intelligence, as an important auxiliary tool for energy transformation, is increasingly integrated into energy management in industrial systems and home life, improving energy efficiency, reducing peak demand, and maximizing the use of renewable energy. In addition, in the fields of Nuclear fusion, new energy materials, carbon capture, storage and utilization, AI can also accelerate the research and development of these green technologies by giving play to the advantages of data analysis, modeling and prediction. The Boston Consulting Group (BCG) once predicted in its research report that if the goal of limiting global average temperature rise to 1.5 ℃ proposed in the Paris Agreement is to be achieved, countries must reduce carbon emissions by 50% by 2030. Using labor