Quantifying Global Wetland Methane Emissions With In Situ Methane Flux Data and Machine Learning Approaches
Abstract Wetland methane (CH4) emissions have a significant impact on the global climate system. However, the current estimation of wetland CH4 emissions at the global scale still has large uncertainties. Here we developed six distinct bottom‐up machine learning (ML) models using in situ CH4 fluxes...
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| Main Authors: | Shuo Chen, Licheng Liu, Yuchi Ma, Qianlai Zhuang, Narasinha J. Shurpali |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2024-11-01
|
| Series: | Earth's Future |
| Online Access: | https://doi.org/10.1029/2023EF004330 |
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