Reducing Uncertainties in projected Gross Primary Production using Gradient Boosted Regression Trees

Schlund, Manuel and Eyring, Veronika and Camps-Valls, Gustau and Friedlingstein, Pierre and Gentine, Pierre and Reichstein, Markus (2019) Reducing Uncertainties in projected Gross Primary Production using Gradient Boosted Regression Trees. H2020 Project CRESCENDO General Assembly, 2019-10-01 - 2019-10-03, Paris, Frankreich.

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Item URL in elib:

https://elib.dlr.de/138675/

Document Type:

Conference or Workshop Item (Poster)

Title:

Reducing Uncertainties in projected Gross Primary Production using Gradient Boosted Regression Trees

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:

October 2019

Refereed publication:

Open Access:

Gold Open Access:

In SCOPUS:

In ISI Web of Science:

Status:

Published

Keywords:

Earth System Models, Gross Primary Production, Future Climate Projections, CMIP

Event Title:

H2020 Project CRESCENDO General Assembly

Event Location:

Paris, Frankreich

Event Type:

international Conference

Event Start Date:

1 October 2019

Event End Date:

3 October 2019

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:

30 Nov 2020 10:22

Last Modified:

24 Apr 2024 20:40

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