官方服务：
资源简介：
⁉️ Guessing Kuwait's Cloud Type with Machine Learning 🤖
利用机器学习推测科威特云型 🤖
应用场景：
创建时间：
2024-08-18
相关数据集
Applying satellite observations of tropical cyclone internal structures to rapid intensification forecast with machine learning
Tropical cyclone (TC) intensity change is controlled by both environmental conditions and internal storm processes. We show that TC 24-hour subsequent intensity change (DV24) is linearly correlated wi
DataCite Commons2023-09-15 更新110
Incorporating Hourly Convective Cloud data into Tropical Cyclone Rapid Intensification Forecasting with Machine Learning
These models were developed to predict both the probability of RI and the binary RI classification for tropical cyclones. They are a weighted average of probabilities derived from logistic regression,
NIAID Data Ecosystem60
Basic metrics for evaluating regression models.
This study develops the LGBM-3SC-CF product, a machine learning framework that integrates multi-source data (Himawari-8, ERA5, ASTERDEM, and rain gauge) to significantly improve rainfall classificatio
Figshare2026-02-13 更新30
Evaluating machine learning-based probabilistic convective hazard forecasts...
The High-Resolution Rapid Refresh (HRRR) model provides hourly updating forecasts of convective-scale phenomena, which can be used to infer the potential for convective hazards...
University Corporation for Atmospheric Research70
GPC/m: Global Precipitation Climatology by Machine Learning; Quasi-global, Daily, and One Degree Spatial Resolution
A precipitation dataset, Global Precipitation Climatology by Machine Learning (ML), GPC/m, is released. This new precipitation dataset has been produced by machine learning, which is daily from 1979
NIAID Data Ecosystem40
