After all, it is Cantonese, carrying everything for all mankind!

【Write in the end】

In the 1960s, Zhen Guo Shulang predicted the relationship between CO2 concentration and global warming through the "atmospheric-ocean-land" coupling cycle model, and predicted that the carbon dioxide concentration doubled, and the global temperature would rise by 2.5 ° C.

In the following decades, Zhen Guo Lang's prediction was unfortunately stated that we watched the world's irreversible warmth.

However, the Hasselman model proposed by Hasselman also gives us a short -term prediction of the weather.

The Hasselman model is also known as the "optimal fingerprint method". This method can use rapidly changing data noise to describe the weather where chaos changes. In popular terms, natural phenomena and human activities are like fingerprints left in the climate. The weather can be predicted through these fingerprints.

Professor Huang Jiping, the Department of Physics of Fudan, once explained the optimal fingerprint with a popular metaphor. It obtained the climate model from noisy data, which is actually the same as walking dogs. People walk with dogs, and the dog runs east and west. Its footprints are unpredictable, but if these footprints are counted, they can predict the trajectory of people walking.

After all, it is not a dog after all, it brings unprecedented natural disasters.

If our attitude towards the environment will not change. Even though we have the ability to predict the climate in the future, we may eventually predict the ending of our destruction.

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