A local numerical weather prediction product revision method based on depth learning
A numerical weather forecast and deep learning technology, applied in the field of meteorology, can solve problems such as high labor consumption and inability to achieve correction, and achieve the effect of reducing labor consumption
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[0035] In order to make the objectives, technical solutions, and advantages of the present invention clearer, the disclosed embodiments of the present invention will be described in further detail below in conjunction with the accompanying drawings.
[0036] Reference figure 1 , Shows a flow chart of a method for correcting a local numerical weather forecast product based on deep learning in an embodiment of the present invention. In this embodiment, the method for correcting local numerical weather forecast products based on deep learning includes:
[0037] Step 101: Construct a training data set based on historical numerical weather forecast products and corresponding historical site observation data.
[0038] In this embodiment, the training data set can be established and constructed through the following steps:
[0039] Sub-step 1.1, select the specific meteorological element E, the level l, and the area a to be corrected contained in the specific numerical weather forecast prod...
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