Articles | Volume 15, issue 6
Geosci. Model Dev., 15, 2599–2617, 2022
https://doi.org/10.5194/gmd-15-2599-2022
Geosci. Model Dev., 15, 2599–2617, 2022
https://doi.org/10.5194/gmd-15-2599-2022
Methods for assessment of models
30 Mar 2022
Methods for assessment of models | 30 Mar 2022

Constraining a land cover map with satellite-based aboveground biomass estimates over Africa

Guillaume Marie et al.

Data sets

R-script_African_biomass: R scipt + ORCHIDEE Guillaume Marie, B. Sebastiaan Luyssaert, Cecile Dardel, Thuy Le Toan, Alexandre Bouvet, Stéphane Mermoz, Ludovic Villard, Vladislav Bastrikov, and Philippe Peylin https://doi.org/10.5281/zenodo.4785328

Model code and software

R-script_African_biomass: R scipt + ORCHIDEE Guillaume Marie, B. Sebastiaan Luyssaert, Cecile Dardel, Thuy Le Toan, Alexandre Bouvet, Stéphane Mermoz, Ludovic Villard, Vladislav Bastrikov, and Philippe Peylin https://doi.org/10.5281/zenodo.4785328

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Short summary
Most Earth system models make use of vegetation maps to initialize a simulation at global scale. Satellite-based biomass map estimates for Africa were used to estimate cover fractions for the 15 land cover classes. This study successfully demonstrates that satellite-based biomass maps can be used to better constrain vegetation maps. Applying this approach at the global scale would increase confidence in assessments of present-day biomass stocks.