Articles | Volume 14, issue 4
https://doi.org/10.5194/gmd-14-1987-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-14-1987-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model evaluation paper
| 
14 Apr 2021
Model evaluation paper |
| 14 Apr 2021
| 14 Apr 2021
Global evaluation of the nutrient-enabled version of the land surface model ORCHIDEE-CNP v1.2 (r5986)
Laboratoire des Sciences du Climat et de 1'Environnement/IPSL,
CEA-CNRS-UVSQ, Université Paris-Saclay, Gif sur Yvette, 91191, France
Laboratoire des Sciences du Climat et de 1'Environnement/IPSL,
CEA-CNRS-UVSQ, Université Paris-Saclay, Gif sur Yvette, 91191, France
Department of Geography, University of Augsburg, Augsburg, Germany
Jinfeng Chang
Ecosystems Services and Management Program, International Institute
for Applied Systems Analysis (IIASA), Schlossplatz 1, 2361 Laxenburg,
Austria
Philippe Ciais
Laboratoire des Sciences du Climat et de 1'Environnement/IPSL,
CEA-CNRS-UVSQ, Université Paris-Saclay, Gif sur Yvette, 91191, France
Betrand Guenet
Laboratoire des Sciences du Climat et de 1'Environnement/IPSL,
CEA-CNRS-UVSQ, Université Paris-Saclay, Gif sur Yvette, 91191, France
Laboratoire de Géologie, UMR 8538, Ecole Normale
Supérieure, PSL Research University, CNRS, Paris, France
Julian Helfenstein
Agroecology and Environment, Agroscope, Reckenholzstrasse 191, 8046
Zurich, Switzerland
Yuanyuan Huang
Laboratoire des Sciences du Climat et de 1'Environnement/IPSL,
CEA-CNRS-UVSQ, Université Paris-Saclay, Gif sur Yvette, 91191, France
CSIRO Oceans and Atmosphere, Aspendale 3195, Australia
Ronny Lauerwald
Laboratoire des Sciences du Climat et de 1'Environnement/IPSL,
CEA-CNRS-UVSQ, Université Paris-Saclay, Gif sur Yvette, 91191, France
Department Geoscience, Environment & Society, Universite libre de Bruxelles, 1050 Brussels, Belgium
Fabienne Maignan
Laboratoire des Sciences du Climat et de 1'Environnement/IPSL,
CEA-CNRS-UVSQ, Université Paris-Saclay, Gif sur Yvette, 91191, France
Victoria Naipal
Laboratoire des Sciences du Climat et de 1'Environnement/IPSL,
CEA-CNRS-UVSQ, Université Paris-Saclay, Gif sur Yvette, 91191, France
Department of Geography, Ludwig-Maximilian University, Munich,
Germany
Yilong Wang
Laboratoire des Sciences du Climat et de 1'Environnement/IPSL,
CEA-CNRS-UVSQ, Université Paris-Saclay, Gif sur Yvette, 91191, France
Key Laboratory of Land Surface Pattern and Simulation, Institute of
Geographical Sciences and Natural Resources Research, Chinese Academy of
Sciences, Beijing, China
Hui Yang
Laboratoire des Sciences du Climat et de 1'Environnement/IPSL,
CEA-CNRS-UVSQ, Université Paris-Saclay, Gif sur Yvette, 91191, France
Haicheng Zhang
Laboratoire des Sciences du Climat et de 1'Environnement/IPSL,
CEA-CNRS-UVSQ, Université Paris-Saclay, Gif sur Yvette, 91191, France
Department Geoscience, Environment & Society, Universite libre de Bruxelles, 1050 Brussels, Belgium
Model code and software
ORCHIDEE-CN-P_v1.2_r5986 Daniel S. Goll https://doi.org/10.14768/20200407002.1
Global evaluation of the nutrient enabled version of land surface model ORCHIDEE-CNP (v1.2) Yan Sun https://doi.org/10.17632/f54v9zcgbf.1
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Short summary
We evaluated the performance of the nutrient-enabled version of the land surface model ORCHIDEE-CNP v1.2 against remote sensing, ground-based measurement networks and ecological databases. The simulated carbon, nitrogen and phosphorus fluxes among different spatial scales are generally in good agreement with data-driven estimates. However, the recent carbon sink in the Northern Hemisphere is substantially underestimated. Potential causes and model development priorities are discussed.
We evaluated the performance of the nutrient-enabled version of the land surface model...
