Soil temperature is a critical parameter that influences agricultural productivity, hydrological processes and ecosystem dynamics. Recent advances in machine learning have enabled more accurate and ...
Data is fundamental to hydrological modeling and water resource management; however, it remains a major challenge in many ...
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Machine learning weather models are transforming climate forecasting across Africa
The Writer As climate extremes intensify across Africa, the need for accurate and timely weather prediction has become increasingly urgent.Floods, heatwaves, droughts, and air pollution events are ...
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