Prediction of global methane oxidation rates using a random regression forest (RRF) machine-learning method
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Combining our measured methane oxidation rates with previously published data (a total of 427 datapoints) in diffusion-driven coastal waters, we generated predictions of global MOx rates in shallow waters (0-50m) based on published methane, salinity, temperature, and depth data using a random regression forest (RRF) machine-learning method.
创建时间：
2022-11-01
