TY - JOUR
T1 - Resolving Uncertainty in the Response of Australia's Terrestrial Carbon Cycle to Projected Climate Change
AU - Teckentrup, Lina
AU - De Kauwe, Martin G.
AU - Pitman, Andy J.
AU - Wårlind, David
AU - Ukkola, Anna M.
AU - Smith, Benjamin
N1 - Publisher Copyright:
© 2024. The Author(s).
PY - 2024/11/28
Y1 - 2024/11/28
N2 - Semi-arid ecosystems, common across the Australian continent, strongly influence the inter-annual variability and trend in the global terrestrial net carbon sink. Here we explore the future Australian terrestrial carbon cycle using the CMIP6 ensemble, and the dynamic global vegetation model LPJ-GUESS. Uncertainty in Australia's carbon storage in vegetation ranged between 6 and 49 PgC at the end of the century and was strongly linked to biases in the meteorological forcing. Using LPJ-GUESS with bias-corrected meteorological forcing reduced uncertainty in the vegetation carbon storage to between 14 and 20 PgC, with the remaining range linked to model sensitivities to rising atmospheric CO2 concentration, temperature, and precipitation variability. Reducing this uncertainty will require improved terrestrial biosphere models, but also major improvements in the simulation of regional precipitation by Global Climate Models.
AB - Semi-arid ecosystems, common across the Australian continent, strongly influence the inter-annual variability and trend in the global terrestrial net carbon sink. Here we explore the future Australian terrestrial carbon cycle using the CMIP6 ensemble, and the dynamic global vegetation model LPJ-GUESS. Uncertainty in Australia's carbon storage in vegetation ranged between 6 and 49 PgC at the end of the century and was strongly linked to biases in the meteorological forcing. Using LPJ-GUESS with bias-corrected meteorological forcing reduced uncertainty in the vegetation carbon storage to between 14 and 20 PgC, with the remaining range linked to model sensitivities to rising atmospheric CO2 concentration, temperature, and precipitation variability. Reducing this uncertainty will require improved terrestrial biosphere models, but also major improvements in the simulation of regional precipitation by Global Climate Models.
UR - http://www.scopus.com/inward/record.url?scp=85209187009&partnerID=8YFLogxK
U2 - 10.1029/2024GL111398
DO - 10.1029/2024GL111398
M3 - Article (Academic Journal)
AN - SCOPUS:85209187009
SN - 0094-8276
VL - 51
JO - Geophysical Research Letters
JF - Geophysical Research Letters
IS - 22
M1 - e2024GL111398
ER -