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:

Authors	Institution or Email of Authors	Author's ORCID iD	ORCID Put Code
Schlund, Manuel	DLR, IPA	https://orcid.org/0000-0001-5251-0158	UNSPECIFIED
Eyring, Veronika	DLR, IPA	https://orcid.org/0000-0002-6887-4885	UNSPECIFIED
Camps-Valls, Gustau	Image Processing Laboratory (IPL), Universitat de València, València, Spain	https://orcid.org/0000-0003-1683-2138	UNSPECIFIED
Friedlingstein, Pierre	College of Engineering, Mathematics and Physical Sciences, University of Exeter, Devon, UK	UNSPECIFIED	UNSPECIFIED
Gentine, Pierre	Department of Earth and Environmental Engineering, Columbia University, New York, USA	https://orcid.org/0000-0002-0845-8345	UNSPECIFIED
Reichstein, Markus	Max-Planck-Institute for Biogeochemistry, Jena, Germany	https://orcid.org/0000-0001-5736-1112	UNSPECIFIED

Date:

27 October 2020

Journal or Publication Title:

Journal of Geophysical Research: Biogeosciences

Refereed publication:

Yes

Open Access:

Yes

Gold Open Access:

In SCOPUS:

Yes

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:

24 Oct 2023 10:56

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