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 object, technical solution and advantages of the present invention clearer, the embodiments disclosed in the present invention will be further described in detail below in conjunction with the accompanying drawings.
[0036] refer to figure 1 , shows a flow chart of steps of a method for correcting local numerical weather forecast products 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 according to historical numerical weather prediction 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 to be corrected, level l, and area a to be corrected included in the specific numerica...
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