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. 2018 Jan 31;8:1973. doi: 10.1038/s41598-018-20024-w

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© The Author(s) 2018

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

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Global mean annual sum (2007–2011) and spatial distribution of: (a) GOME-2 SIF; (b) JUNG up-scaled FLUXNET data-driven GPP product¹⁸; (c) ORCHIDEE prior GPP; (d) ORCHIDEE posterior GPP; (e) difference in ORCHIDEE simulated GPP (posterior – prior); (f) reduction in GPP uncertainty (1σ). The maps were created from the ORCHIDEE model simulations performed in this study, GOME-2 SIF data, and the JUNG product, using the Python programming language v2.7.13 (Python So ware Foundation – available at http://www.python.org) Matplotlib (v2.0.2) plotting library54 with the Basemap Toolkit (http://matplotlib.org/basemap/). See Section on Data Availability for GOME-2 SIF and JUNG product availability, the ORCHIDEE model licence information and ORCHIDEE code availability.