AI Framework Sharpens Satellite Rainfall Maps Over the Remote Tibetan Plateau
Researchers have developed a hybrid CNN-XGBoost machine learning framework that sharply improves satellite rainfall estimates over the data-sparse interior of ...
Researchers have developed a hybrid CNN-XGBoost machine learning framework that sharply improves satellite rainfall estimates over the data-sparse interior of ...
A bias-corrected CMIP6 ensemble projects that extreme heat days in Ethiopia's Omo-Kuraz Watershed could rise by over 440 percent by ...
A new study validates NASA POWER satellite-derived weather data against 40 ground stations in the US and Türkiye, finding strong ...
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© 2025 Scienmag - Science Magazine