The weather forecast is sometimes accurate and sometimes inaccurate! Why is this?

Do I have to post it three times? The first two people asked the candidate the best answer, but they were all too emotional, too emotional, hahaha, here is my answer to you.

The weather process is a chaotic process, and it is necessary to solve nonlinear differential equations, and the relationship between the solutions of nonlinear differential equations and the initial values is particularly great. If the initial value has a small deviation, the solution may be 108 thousand miles away. The process of weather forecasting is equivalent to collecting data first, and then predicting the future weather through calculation. There are always errors in data acquisition, so the solution of the equation may change greatly.

At present, the weather forecast is accurate for up to 48 hours.

This has a lot to do with data acquisition and computer technology.

In fact, if the linear equation is approximate, there are errors or the model is not good, the deviation of the results will not be great. The key is to use nonlinear differential equations, that is, chaos theory, that is, butterfly effect in popular science.