Machine learning models inaccurately predict current and future high-latitude C balances

Machine learning models inaccurately predict current and future high-latitude C balances

The high-latitude carbon (C) cycle is a key feedback to the global climate system, yet because of system complexity and data limitations, there is currently disagreement over whether the region is a source or sink of C. Recent advances in big data analytics and computing power have popularized the u...

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Bibliographic Details
Main Authors: Ian A Shirley, Zelalem A Mekonnen, Robert F Grant, Baptiste Dafflon, William J Riley
Format: Article
Language:English
Published: IOP Publishing 2023-01-01
Series:Environmental Research Letters
Subjects:
machine learning
upscaling
forecasting
independent evaluation
carbon cycle
high-latitudes
Online Access:https://doi.org/10.1088/1748-9326/acacb2

Internet

https://doi.org/10.1088/1748-9326/acacb2

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