Page Comparison

...

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. Pre-industrial control experiment to quantify residual drift in climate and biogeochemical cycles
   1. 500–1000 y control, C-driven, constant N-dep, aerosols, CH₄ and other GHGs, no crops or LUC or management (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