Articles | Volume 13, issue 11
https://doi.org/10.5194/gmd-13-5401-2020
© Author(s) 2020. 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-13-5401-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model description paper
| 
10 Nov 2020
Model description paper |
| 10 Nov 2020
| 10 Nov 2020
Modeling the impacts of diffuse light fraction on photosynthesis in ORCHIDEE (v5453) land surface model
Laboratoire de Météorologie Dynamique, IPSL, Sorbonne
Université/CNRS, Paris, France
Laboratoire des Sciences du Climat et de l'Environnement (LSCE), IPSL, CEA/CNRS/UVSQ, Gif sur Yvette, France
Ana Bastos
Department of Biogeochemical Integration, Max Planck Institute for Biogeochemistry, Jena, Germany
Fabienne Maignan
Laboratoire des Sciences du Climat et de l'Environnement (LSCE), IPSL, CEA/CNRS/UVSQ, Gif sur Yvette, France
Daniel Goll
Laboratoire des Sciences du Climat et de l'Environnement (LSCE), IPSL, CEA/CNRS/UVSQ, Gif sur Yvette, France
Department of Geography, University of Augsburg, Augsburg, Germany
Olivier Boucher
Institut Pierre-Simon Laplace, CNRS/Sorbonne Université, Paris, France
Laurent Li
Laboratoire de Météorologie Dynamique, IPSL, Sorbonne
Université/CNRS, Paris, France
Alessandro Cescatti
European Commission, Joint Research Centre (JRC), Ispra, Italy
Nicolas Vuichard
Laboratoire des Sciences du Climat et de l'Environnement (LSCE), IPSL, CEA/CNRS/UVSQ, Gif sur Yvette, France
Xiuzhi Chen
Guangdong Province Key Laboratory for Climate Change and Natural
Disaster Studies, School of Atmospheric Sciences, Sun Yat-sen University,
Guangzhou, China
Christof Ammann
Climate and Agriculture Group, Agroscope, Zurich,
Switzerland
M. Altaf Arain
School of Earth, Environment and Society, and McMaster Centre for Climate Change, McMaster University, Hamilton, ON, Canada
T. Andrew Black
Faculty of Land and Food Systems, University of British Columbia,
Vancouver, BC, Canada
Bogdan Chojnicki
Laboratory of Bioclimatology, Department of Ecology and Environmental Protection, Poznań University of Life Sciences, Poznań, Poland
Tomomichi Kato
Research Faculty of Agriculture, Hokkaido University, Sapporo, Japan
Global Institution for Collaborative Research and Education, Hokkaido University, Sapporo, Japan
Ivan Mammarella
Institute for Atmospheric and Earth System Research/Physics, Faculty of Sciences, University of Helsinki, Finland
Leonardo Montagnani
Forest Services, Autonomous Province of Bolzano, Bolzano, Italy
Faculty of Science and Technology, Free University of Bolzano, Bolzano, Italy
Olivier Roupsard
CIRAD, UMR Eco&Sols, Dakar, Senegal
Eco&Sols, Université de Montpellier, CIRAD, INRAE, IRD, Montpellier
SupAgro, Montpellier, France
LMI IESOL, Centre IRD-ISRA de Bel Air, Dakar, Senegal
Maria J. Sanz
Basque Centre for Climate Change, Sede Building 1, Scientific Campus of the University of the Basque Country, Leioa, Spain
Ikerbasque, Basque Foundation for Science, Bilbao, Spain
Lukas Siebicke
Bioclimatology, Georg August University of Göttingen,
Göttingen, Germany
Marek Urbaniak
Laboratory of Meteorology, Department of Construction and Geoengineering, Poznań University of Life Sciences, Poznań, Poland
Francesco Primo Vaccari
Institute of BioEconomy, National Research Council, Florence, Italy
Georg Wohlfahrt
Department of Ecology, University of Innsbruck, Innsbruck, Austria
Will Woodgate
CSIRO Land and Water, Canberra, 2601 ACT, Australia
School of Earth and Environmental Sciences, University of Queensland, St Lucia, 4067 QLD, Australia
Philippe Ciais
Laboratoire des Sciences du Climat et de l'Environnement (LSCE), IPSL, CEA/CNRS/UVSQ, Gif sur Yvette, France
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- Solar-induced chlorophyll fluorescence tracks canopy photosynthesis under dry conditions in a semi-arid grassland Y. Wu et al. 10.1016/j.agrformet.2024.110174
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- Assimilating Sentinel-2 data in a modified vegetation photosynthesis and respiration model (VPRM) to improve the simulation of croplands CO2 fluxes in Europe H. Bazzi et al. 10.1016/j.jag.2024.103666
- Clouds and plant ecophysiology: missing links for understanding climate change impacts N. Hughes et al. 10.3389/ffgc.2024.1330561
- Environmental factors modulate the diffuse fertilization effect on gross primary productivity across Chinese ecosystems X. Gui et al. 10.1016/j.scitotenv.2021.148443
- Satellite-observed vegetation responses to aerosols variability Z. Zhang et al. 10.1016/j.agrformet.2022.109278
- Significant changes in global maize yield sensitivity to vapor pressure deficit during 1983–2010 L. Han & G. Leng 10.1016/j.agwat.2024.109107
- Narrow but robust advantages in two-big-leaf light use efficiency models over big-leaf light use efficiency models at ecosystem level S. Bao et al. 10.1016/j.agrformet.2022.109185
- Global Spectrum of Vegetation Light‐Use Efficiency M. He et al. 10.1029/2022GL099550
- Disentangling the Impacts of Anthropogenic Aerosols on Terrestrial Carbon Cycle During 1850–2014 Y. Zhang et al. 10.1029/2021EF002035
- The Effect of Diffuse Radiation on Ecosystem Carbon Fluxes Across China From FLUXNET Forest Observations X. Deng et al. 10.3389/feart.2022.906408
- Diffuse sunlight and cosmic rays: Missing pieces of the forest growth change attribution puzzle? J. Bontemps & H. Svensmark 10.1016/j.scitotenv.2021.150469
Latest update: 23 Nov 2024
Short summary
We improved the ORCHIDEE LSM by distinguishing diffuse and direct light in canopy and evaluated the new model with observations from 159 sites. Compared with the old model, the new model has better sunny GPP and reproduced the diffuse light fertilization effect observed at flux sites. Our simulations also indicate different mechanisms causing the observed GPP enhancement under cloudy conditions at different times. The new model has the potential to study large-scale impacts of aerosol changes.
We improved the ORCHIDEE LSM by distinguishing diffuse and direct light in canopy and evaluated...
