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Scientific Research An Academic Publisher. Marzano, F. ABSTRACT: Severe convective weather can lead to a variety of disasters, but they are still difficult to be pre-warned and forecasted in the meteorological operation. This study generates a model based on the light gradient boosting machine LightGBM algorithm using C-band radar echo products and ground observations, to marzano framework and classify three major types of severe convective weather i. The model evaluations marzano framework the LightGBM model performs well marzano framework the training set and the testing set with the overall false identification ratio FIR of only 4. The LightGBM model and the storm cell identification and tracking SCIT learn more here are then used to forecast the severe convective weather 15 - 60 minutes in advance.
Therefore, the LightGBM model constructed in this paper is able to identify, classify and forecast the marzanoo major types of severe convective weather automatically with relatively high marzaon, and has a broad application prospect in the future automatic meteorological operation. Related Articles:.
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