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Simulation Experiments

  • Point simulations

    • Representative sites

    • Super sites

    • Fluxnet sites

  • Manipulation experiments

    • Litter addition

    • Fertilization experiments

    • FACE

    • Warming experiments

  • Fully coupled regional simulations

  • Fully Coupled global simulations

Experimental Design

  • Focus of experiments should be to:
    1. diagnose/quantify the strength and distribution of model biases,
    2. improve answers to the v1 questions, and
    3. investigate new science questions or hypotheses.
  • Model experiments should be designed to highlight/test/exercise new V2 features:
    • Demonstrate utility of topographic downscaling
    • Explore lateral subsurface processes
    • Test new hydrological processes with thermal physics and transport
    • Test explicit microbial model, wetland hydrology & biogeochemistry, nutrient storage and transport, alternative nutrient cycling approaches, and dynamic vegetation
    • Investigate agricultural impacts on different crop types
    • Address land use change questions through scenario testing
  • We should establish a plan and a schedule to assure we can accomplish all of the experiments we would like to do.
  • For V1 BGC experiments, we borrowed the Historical + RCP 8.5 simulation protocol with alternative atmospheric CO2 coupling (RAD, BGC, FULL) from CMIP5.
  • For V1 Water Cycle experiment, we eliminated experiments for topographic downscaling, which was not fully implemented in v1.

 Biogeochemistry Experiments

The primary focus is to understand and quantify future century-scale changes in land (and ocean) carbon storage and fluxes. Simulations that would achieve this goal could be:

  • 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 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 (140 y)
    2. Idealized 1% per year CO2, RAD coupling, C-driven, constant N-dep, aerosols, CH4 and other GHGs, no crops or LUC (140 y)
    3. Idealized 1% per year CO2, FULL coupling, C-driven, constant N-dep, aerosols, CH4 and other GHGs, no crops or LUC (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 (140 y)
    2. Idealized 1% per year CO2, RAD coupling, C-driven, increasing N-dep, aerosols, CH4 and other GHGs, no crops or LUC (140 y)
    3. Idealized 1% per year CO2, FULL coupling, C-driven, increasing N-dep, aerosols, CH4 and other GHGs, no crops or LUC (140 y)
  3. Preindustrial control experiment to quantify residual drift in climate and biogeochemical cycles
    1. 300–1000 y control, C-driven, constant N-dep, aerosols, CH4 and other GHGs, no crops or LUC (300–1000 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 (165 y)
    2. Historical CO2, RAD coupling, C-driven, increasing N-dep, aerosols, CH4 and other GHGs, dynamic crops and LUC (165 y)
    3. Historical CO2, FULL coupling, C-driven, increasing N-dep, aerosols, CH4 and other GHGs, dynamic crops and LUC (165 y)
    4. Historical CO2, BGC coupling, E-driven, increasing N-dep, aerosols, CH4 and other GHGs, dynamic crops and LUC (165 y)
    5. Historical CO2, RAD coupling, E-driven, increasing N-dep, aerosols, CH4 and other GHGs, dynamic crops and LUC (165 y)
    6. Historical CO2, FULL coupling, E-driven, increasing N-dep, aerosols, CH4 and other GHGs, dynamic crops and LUC (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 (85 y)
    2. SSP5-8.5 to 2100, RAD coupling, C-driven, increasing N-dep, aerosols, CH4 and other GHGs, dynamic crops and LUC (85 y)
    3. SSP5-8.5 to 2100, FULL coupling, C-driven, increasing N-dep, aerosols, CH4 and other GHGs, dynamic crops and LUC (85 y)
    4. SSP5-8.5 to 2100, BGC coupling, E-driven, increasing N-dep, aerosols, CH4 and other GHGs, dynamic crops and LUC (85 y)
    5. SSP5-8.5 to 2100, RAD coupling, E-driven, increasing N-dep, aerosols, CH4 and other GHGs, dynamic crops and LUC (85 y)
    6. SSP5-8.5 to 2100, FULL coupling, E-driven, increasing N-dep, aerosols, CH4 and other GHGs, dynamic crops and LUC (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 (200 y)
    2. SSP-8.5 to 2300, RAD coupling, C-driven, increasing N-dep, aerosols, CH4 and other GHGs, dynamic crops and LUC (200 y)
    3. SSP-8.5 to 2300, FULL coupling, C-driven, increasing N-dep, aerosols, CH4 and other GHGs, dynamic crops and LUC (200 y)

Water Cycle Experiments

 

Cryosphere Experiments

 

 

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