Supporting data for Xu et al. 2021 - Weather and Forecasting
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下载链接：
https://zenodo.org/record/4784609
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资源简介：
This is the dataset underpinning the paper "Deep Learning Experiments for Tropical Cyclone Intensity Forecasts" submitted to the journal Weather and Forecasting in 2021.
24-hour model data used in LOYO testing (before scaling):
`NOAA_reanalysis_vars_global_w_dvs24.csv`
`NOAA_operational_vars_global_w_dvs24.csv`
24-hour model data used in LOYO testing (after scaling):
`train_global_fill_REA_na_wo_img_scaled.csv`
2019 operational data reserved for 24-hour model independent test:
`NOAA_operational_vars_global_wLabels_fill_na_Y2019.csv`
2020 operational data reserved for 24-hour model independent test:
`NOAA_operational_vars_global_wLabels_fill_na_Y2020.csv`
6-hour model data used in LOYO testing (before scaling):
`NOAA_reanalysis_vars_global_w_dvs6.csv`
创建时间：
2021-05-25
