Articles | Volume 12, issue 4
https://doi.org/10.5194/esd-12-1191-2021
https://doi.org/10.5194/esd-12-1191-2021
Research article
 | 
23 Nov 2021
Research article |  | 23 Nov 2021

Parameter uncertainty dominates C-cycle forecast errors over most of Brazil for the 21st century

Thomas Luke Smallman, David Thomas Milodowski, Eráclito Sousa Neto, Gerbrand Koren, Jean Ometto, and Mathew Williams

Data sets

CARDAMOM Brazil C-cycle multi-DALEC, multi-CMIP6 scenarios (1x1 degree; monthly; 2001-2017) Thomas Luke Smallman and Mathew Williams https://doi.org/10.7488/ds/3000

Model code and software

CARDAMOM Thomas Luke Smallman, Mathew Williams https://github.com/GCEL

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Short summary
Our study provides a novel assessment of model parameter, structure and climate change scenario uncertainty contribution to future predictions of the Brazilian terrestrial carbon stocks to 2100. We calibrated (2001–2017) five models of the terrestrial C cycle of varied structure. The calibrated models were then projected to 2100 under multiple climate change scenarios. Parameter uncertainty dominates overall uncertainty, being ~ 40 times that of either model structure or climate change scenario.
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