Traditional Culture Encyclopedia - Weather forecast - How are you, Earth? 400 words.
How are you, Earth? 400 words.
Students, let's take action at once! Mother Earth has nurtured mankind for millions of years, and we should give her a good reward.
The Mystery of the Earth is about six strange phenomena on the earth that have not been solved so far. One of them talked about two ancient wells that can predict the weather.
The article said: "In Xia Long Village, Anyuan County, Jiangxi Province, there are two ancient wells that can forecast the weather. The weather methods of the two wells are completely opposite. The sunny days are: village head: turbid; Village end: Clear the field. Rainy days are the opposite of sunny days. " Everyone in the village thinks that the weather forecast of these two ancient wells is more accurate than that of the meteorological station.
At present, the weather forecast of the meteorological observatory, one is to observe the ground atmospheric data many times a day through the ground meteorological observation station; The second is to observe more than ten levels of atmospheric data at high altitude. Design atmospheric motion equation, analyze atmospheric data, and calculate future weather changes by computer.
Why is the weather forecast of the meteorological station inaccurate? In my opinion, the problem may be that the data collected is not enough. We only collected more than ten levels of atmospheric data and a certain amount of ground atmospheric data. The data is not comprehensive enough and the coverage is not wide enough, so it needs to be enriched. In addition, the calculation method of computer design is not accurate enough and needs further study.
But do well water forecast weather have to be so accurate? If these two wells show rain, how many days will it rain? What is the rainfall? Perhaps through further observation, we can find a way to express the rainfall of two wells.
Perhaps scientific analysis after long-term observation can really improve the accuracy of weather forecast by meteorological stations.
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