Deep learning approach for detecting tropical cyclones and their precursors in the simulation by a cloud-resolving global nonhydrostatic atmospheric model
We propose a deep learning approach for identifying tropical cyclones (TCs) and their precursors. Twenty year simulated outgoing longwave radiation (OLR) calculated using a cloud-resolving global atmospheric s...
![](https://static-content.springer.com/image/art%3A10.1186%2Fs40645-018-0245-y/MediaObjects/40645_2018_245_Figa_HTML.png)