Machine learning methods suggest that large regional changes in phytoplankton biomass produced by Earth System Models do not reflect realistic responses to changing climate

Surface phytoplankton biomass (measured in mol C m-3) represents a critical parameter within the Earth System that is measured from space and simulated in Earth System Models. Under climate change, the current generation of Earth System Models agree t

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Publication Details

Published
2025-08-25
DOI
https://doi.org/10.22541/essoar.175611473.34025468/v1
Primary Topic
Atmospheric and Environmental Gas Dynamics
Type
article
Field-Weighted Citation Impact
0.00

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article

Machine learning methods suggest that large regional changes in phytoplankton biomass produced by Earth System Models do not reflect realistic responses to changing climate

Anand Gnanadesikan, J.M. Qian, S. P. S. Dutta, Brandon Feole et al.
Atmospheric and Environmental Gas Dynamics
article

Machine learning methods suggest that large regional changes in phytoplankton biomass produced by Earth System Models do not reflect realistic responses to changing climate

Anand Gnanadesikan, J.M. Qian, S. P. S. Dutta, Brandon Feole, Faith McCarthy, Jingwen Liu
article en

Abstract

Surface phytoplankton biomass (measured in mol C m-3) represents a critical parameter within the Earth System that is measured from space and simulated in Earth System Models. Under climate change, the current generation of Earth System Models agree t

Johns Hopkins University (US), Stony Brook University (US)
U.S. Department of Energy, National Oceanic and Atmospheric Administration
Climate action
Openalex Percentile: Top 79%
Atmospheric and Environmental Gas Dynamics
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