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Constraining Uncertainty in Projected Gross Primary Production With Machine Learning

Schlund, Manuel and Eyring, Veronika and Camps-Valls, Gustau and Friedlingstein, Pierre and Gentine, Pierre and Reichstein, Markus (2020) Constraining Uncertainty in Projected Gross Primary Production With Machine Learning. JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES, 125 (11), pp. 1-22. Wiley. doi: 10.1029/2019JG005619. ISSN 2169-8953.

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Official URL: https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2019JG005619

Abstract

The terrestrial biosphere is currently slowing down global warming by absorbing about 30% of human emissions of carbon dioxide (CO2). The largest flux of the terrestrial carbon uptake is gross primary production (GPP) defined as the production of carbohydrates by photosynthesis. Elevated atmospheric CO2 concentration is expected to increase GPP (“CO2 fertilization effect”). However, Earth system models (ESMs) exhibit a large range in simulated GPP projections. In this study, we combine an existing emergent constraint on CO2 fertilization with a machine learning approach to constrain the spatial variations of multimodel GPP projections.

Item URL in elib:https://elib.dlr.de/138040/
Document Type:Article
Title:Constraining Uncertainty in Projected Gross Primary Production With Machine Learning
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Schlund, ManuelDLR, IPAhttps://orcid.org/0000-0001-5251-0158
Eyring, VeronikaDLR, IPAhttps://orcid.org/0000-0002-6887-4885
Camps-Valls, GustauImage Processing Laboratory (IPL), Universitat de València, València, Spainhttps://orcid.org/0000-0003-1683-2138
Friedlingstein, PierreCollege of Engineering, Mathematics and Physical Sciences, University of Exeter, Devon, UKUNSPECIFIED
Gentine, PierreDepartment of Earth and Environmental Engineering, Columbia University, New York, USAhttps://orcid.org/0000-0002-0845-8345
Reichstein, MarkusMax-Planck-Institute for Biogeochemistry, Jena, Germanyhttps://orcid.org/0000-0001-5736-1112
Date:27 October 2020
Journal or Publication Title:JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:Yes
Volume:125
DOI :10.1029/2019JG005619
Page Range:pp. 1-22
Publisher:Wiley
ISSN:2169-8953
Status:Published
Keywords:Earth System Models, Gross Primary Production, Future Climate Projections, CMIP
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Earth Observation
DLR - Research theme (Project):R - Atmospheric and climate research
Location: Oberpfaffenhofen
Institutes and Institutions:Institute of Atmospheric Physics > Earth System Model Evaluation and Analysis
Deposited By: Schlund, Manuel
Deposited On:24 Nov 2020 11:17
Last Modified:25 Nov 2020 08:34

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