Page Comparison

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• Point simulations

• Representative sites

• Super sites

• Fluxnet sites

• Manipulation experiments

• Litter addition

• Fertilization experiments

• FACE

• Warming experiments

• Partially coupled global simulations

• Fully coupled regional simulations

• Fully Coupled global simulations

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• idealized experiments to separate and quantify the sensitivity of land (and ocean) carbon cycle to changes in climate and atmospheric CO₂,
• historical experiments to evaluate model performance and investigate the potential for observational constraints on future projects,
• future scenario experiments to quantify future changes in carbon storage and hence the atmospheric CO₂ concentration and related climate change for given CO₂ emissions trajectories.

Proposed coupled experiments for the high-throughput model include:

1. Idealized experiments designed to quantify carbon cycle feedback sensitivities
   
   1. Idealized 1% per year CO₂, BGC coupling, C-driven, constant N-dep, aerosols, CH₄ and other GHGs, no crops or LUC or management (140 y)
   2. Idealized 1% per year CO₂, RAD coupling, C-driven, constant N-dep, aerosols, CH₄ and other GHGs, no crops or LUC or management (140 y)
   3. Idealized 1% per year CO₂, FULL coupling, C-driven, constant N-dep, aerosols, CH₄ and other GHGs, no crops or LUC or management (140 y)
2. Idealized experiments designed to quantify the influence of nutrient cycles on carbon cycle feedback sensitivities
   1. Idealized 1% per year CO₂, BGC coupling, C-driven, increasing N-dep, aerosols, CH₄ and other GHGs, no crops or LUC or management (140 y)
   2. Idealized 1% per year CO₂, RAD coupling, C-driven, increasing N-dep, aerosols, CH₄ and other GHGs, no crops or LUC or management (140 y)
   3. Idealized 1% per year CO₂, FULL coupling, C-driven, increasing N-dep, aerosols, CH₄ and other GHGs, no crops or LUC or management (140 y)
3. Preindustrial Pre-industrial control experiment to quantify residual drift in climate and biogeochemical cycles
   1. 300–1000 500–1000 y control, C-driven, constant N-dep, aerosols, CH₄ and other GHGs, no crops or LUC or management (300–1000 500–1000 y)
4. Historical experiments designed to evaluate model performance and investigate emergent constraints
   1. Historical CO₂, BGC coupling, C-driven, increasing N-dep, aerosols, CH₄ and other GHGs, dynamic crops and LUC and management (165 y)
   2. Historical CO₂, RAD coupling, C-driven, increasing N-dep, aerosols, CH₄ and other GHGs, dynamic crops and LUC and management (165 y)
   3. Historical CO₂, FULL coupling, C-driven, increasing N-dep, aerosols, CH₄ and other GHGs, dynamic crops and LUC and management (165 y)
   4. Historical CO₂, BGC coupling, E-driven, increasing N-dep, aerosols, CH₄ and other GHGs, dynamic crops and LUC and management (165 y)
   5. Historical CO₂, RAD coupling, E-driven, increasing N-dep, aerosols, CH₄ and other GHGs, dynamic crops and LUC and management (165 y)
   6. Historical CO₂, FULL coupling, E-driven, increasing N-dep, aerosols, CH₄ and other GHGs, dynamic crops and LUC and management (165 y)
5. Future scenario experiments to quantify future changes in carbon cycle storage for given CO₂ emission trajectories
   1. SSP5-8.5 to 2100, BGC coupling, C-driven, increasing N-dep, aerosols, CH₄ and other GHGs, dynamic crops and LUC and management (85 y)
   2. SSP5-8.5 to 2100, RAD coupling, C-driven, increasing N-dep, aerosols, CH₄ and other GHGs, dynamic crops and LUC and management (85 y)
   3. SSP5-8.5 to 2100, FULL coupling, C-driven, increasing N-dep, aerosols, CH₄ and other GHGs, dynamic crops and LUC and management (85 y)
   4. SSP5-8.5 to 2100, BGC coupling, E-driven, increasing N-dep, aerosols, CH₄ and other GHGs, dynamic crops and LUC and management (85 y)
   5. SSP5-8.5 to 2100, RAD coupling, E-driven, increasing N-dep, aerosols, CH₄ and other GHGs, dynamic crops and LUC and management (85 y)
   6. SSP5-8.5 to 2100, FULL coupling, E-driven, increasing N-dep, aerosols, CH₄ and other GHGs, dynamic crops and LUC and management (85 y)
6. Extension of future scenario experiments to quantify non-linear carbon cycle feedbacks, strengthening of biogeophysical & biogeochemical feedbacks, and shifting strength of ocean and land feedbacks
   1. SSP-8.5 to 2300, BGC coupling, C-driven, increasing N-dep, aerosols, CH₄ and other GHGs, dynamic crops and LUC and management (200 y)
   2. SSP-8.5 to 2300, RAD coupling, C-driven, increasing N-dep, aerosols, CH₄ and other GHGs, dynamic crops and LUC and management (200 y)
   3. SSP-8.5 to 2300, FULL coupling, C-driven, increasing N-dep, aerosols, CH₄ and other GHGs, dynamic crops and LUC and management (200 y)

Water Cycle Experiments

Cryosphere Experiments

To continue to explore the role of processes and parameterizations influencing river flow and fresh water supply, we will systematically explore the sensitivity of atmospheric and surface water budgets simulated in river basins to improvements in the ACME model by isolating the effects of

• resolution
• treatments of clouds and aerosols,
• subgrid orographic effects,
• surface/subsurface hydrology,
• human activities (including water management), and
• ocean–atmosphere interactions.

For V2, the focus will be on investigating subgrid orographic effects, riverine biogeochemistry (including outflow to the oceans), lateral subsurface hydrology, human water management.

Cryosphere Experiments