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August 2025 Apply now Machine Learning models are increasingly important in the atmospheric sciences. After training, they can emulate model outcomes at a fraction of the computational cost of traditional
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redistribute rainfall across the Amazon and thereby affect its internal forest-rainfall feedback. Conversely, changes in forest cover distributions would affect the energy and water balances in the Amazon, which
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