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VQLTI: Long-Term Tropical Cyclone Intensity Forecasting with Physical Constraints

Data Processing

You can download the datasets and models related to this experiment through the following link.

ERA5 dataset: https://www.ecmwf.int/en/forecasts/dataset/ecmwf-reanalysis-v5

FengWu Model: GitHub - OpenEarthLab/FengWu

IBTrACS dataset (best): International Best Track Archive for Climate Stewardship (IBTrACS) | National Centers for Environmental Information (NCEI)

Potential Intensity: GitHub - dgilford/tcpyPI: tcpyPI, aka "pyPI": Tropical Cyclone Potential Intensity Calculations in Python

We have made available the test data and pre-trained models. Additionally, we have packaged an onnx model that enables real-time forecasting testing, which you can download through the provided link.

link: VQLTI_datasets_and_onnx.zip

The model can be configured by modifying the yaml file. The code has provided the corresponding default yaml parameter values.

Train

bash train_bash.sh

Test

bash inference_bash.sh

Case

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