Improved Quantification of Ocean Carbon Uptake by Using Machine Learning to Merge Global Models and pCO2 Data

Improved Quantification of Ocean Carbon Uptake by Using Machine Learning to Merge Global Models and pCO2 Data

Abstract The ocean plays a critical role in modulating climate change by sequestering CO2 from the atmosphere. Quantifying the CO2 flux across the air‐sea interface requires time‐dependent maps of surface ocean partial pressure of CO2 (pCO2), which can be estimated using global ocean biogeochemical...

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Bibliographic Details
Main Authors: L. Gloege, M. Yan, T. Zheng, G. A. McKinley
Format: Article
Language:English
Published: American Geophysical Union (AGU) 2022-02-01
Series:Journal of Advances in Modeling Earth Systems
Subjects:
ocean
pCO2
machine learning
xgboost
carbon flux
global carbon budget
Online Access:https://doi.org/10.1029/2021MS002620

Internet

https://doi.org/10.1029/2021MS002620

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