2024
DOI: 10.21203/rs.3.rs-5574842/v1
|View full text |Cite
Preprint
|
Sign up to set email alerts
|

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

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

0
0
0

Publication Types

Select...

Relationship

0
0

Authors

Journals

citations
Cited by 0 publications
references
References 77 publications
0
0
0
Order By: Relevance

No citations

Set email alert for when this publication receives citations?