Articles | Volume 10, issue 7
https://doi.org/10.5194/gmd-10-2651-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/gmd-10-2651-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Global evaluation of gross primary productivity in the JULES land surface model v3.4.1
School of GeoSciences, The University of Edinburgh, Crew Building, Alexander Crum Brown Road,
Edinburgh, EH9 3FF, UK
Simon F. B. Tett
School of GeoSciences, The University of Edinburgh, Crew Building, Alexander Crum Brown Road,
Edinburgh, EH9 3FF, UK
Jean-François Exbrayat
School of GeoSciences, The University of Edinburgh, Crew Building, Alexander Crum Brown Road,
Edinburgh, EH9 3FF, UK
National Centre for Earth Observation, The University of Edinburgh, Crew Building, Alexander Crum Brown Road, Edinburgh, EH9 3FF, UK
A. Anthony Bloom
School of GeoSciences, The University of Edinburgh, Crew Building, Alexander Crum Brown Road,
Edinburgh, EH9 3FF, UK
National Centre for Earth Observation, The University of Edinburgh, Crew Building, Alexander Crum Brown Road, Edinburgh, EH9 3FF, UK
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA 91109, USA
Mathew Williams
School of GeoSciences, The University of Edinburgh, Crew Building, Alexander Crum Brown Road,
Edinburgh, EH9 3FF, UK
National Centre for Earth Observation, The University of Edinburgh, Crew Building, Alexander Crum Brown Road, Edinburgh, EH9 3FF, UK
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- Global vegetation variability and its response to elevated CO<sub>2</sub>, global warming, and climate variability – a study using the offline SSiB4/TRIFFID model and satellite data Y. Liu et al. 10.5194/esd-10-9-2019
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- Global terrestrial carbon fluxes of 1999–2019 estimated by upscaling eddy covariance data with a random forest J. Zeng et al. 10.1038/s41597-020-00653-5
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- Development of an ecophysiology module in the GEOS-Chem chemical transport model version 12.2.0 to represent biosphere–atmosphere fluxes relevant for ozone air quality J. Lam et al. 10.5194/gmd-16-2323-2023
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