Application of XGBOOST in Disentangling the Fingerprints of Global Warming and Interdecadal Pacific Oscillation on Seasonal Precipitation Trends in Ohio
Caitlin Wegener,
Chibuike Chiedozie Ibebuchi
Abstract:Global warming is a significant challenge of the 21st century, driving notable changes in weather patterns. On the other hand, the Interdecadal Pacific Oscillation (IPO) is a remarkable climatic mode of variability that impacts interdecadal climate patterns and the rate of global warming. This study introduces the extreme gradient boosting (XGBOOST) feature important metric, to disentangle and rank the fingerprints of global warming and IPO on the seasonal precipitation trends in Ohio, United States, a region … Show more
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