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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, 01.-03. Okt. 2019, 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:
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:October 2019
Refereed publication:No
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
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 Dates:01.-03. Okt. 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:30 Nov 2020 10:22

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