CAM Diagnostics for the Super CAM
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CAM Diagnostics for the Super CAM Bill Collins, UCB and LBL Simulation: Marat Khairoutdinov and Dave Randall Analysis: Rodger Ames, Mark Branson, Kelley Wittmeyer. Goals of KT Theme. Improved tools for modeling cloudiness. Climate Centers. Innovative tools for evaluating simulations.

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Goals of KT Theme

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Goals of kt theme

CAM Diagnostics for the Super CAMBill Collins, UCB and LBLSimulation: Marat Khairoutdinov and Dave RandallAnalysis: Rodger Ames, Mark Branson, Kelley Wittmeyer

CCSM AMWG Meeting

NCAR, 12-14 Feb. 2008


Goals of kt theme

Goals of KT Theme

Improved toolsfor modeling cloudiness

Climate Centers

Innovative toolsfor evaluating simulations

NWP Centers

Improved cloudparameterizations

CCSM AMWG Meeting

NCAR, 12-14 Feb. 2008


Recommendations general action items previous stms

Recommendations & General Action Items(Previous STMs)

Near-term Action Items:

  • Develop student/post-doc interactions among CMMAP and modeling centers.

  • Subject MMF to same tests used by climate community.

  • It is vitally important to analyze MMF in frameworks familiar to modeling centers:

    • NCAR diagnostic package

    • GFDL diagnostic package

    • NCEP diagnostic package

  • This will help centers understand the implications of MMF using critical diagnostics for their applications.

  • CCSM AMWG Meeting

    NCAR, 12-14 Feb. 2008


    The amip simulation with super cam

    The AMIP Simulation with Super CAM

    • Simulation:19-year long AMIP style simulation using the 1985-2004 sea surface temperature (SST) and sea ice distributions

    • Manuscript:Evaluation of the simulated interannual and subseasonal variability in an AMIP-style simulation using the CSU Multi-scale Modeling FrameworkMarat Khairoutdinov, Charlotte DeMott, and David Randall In press, J. Climate

    • Websites for diagnostics:CMMAP -> Research -> Themes -> KT to Centers

    CCSM AMWG Meeting

    NCAR, 12-14 Feb. 2008


    Mean and variability diagnostics

    Mean and Variability Diagnostics

    CCSM AMWG Meeting

    NCAR, 12-14 Feb. 2008


    Mjo daily variability

    MJO Daily Variability

    NCEP

    CAM3

    Super CAM

    • As CMMAP has established:

    • CAM’s MJO is weak in all measures.

    • Super CAM has much stronger MJO.

    CCSM AMWG Meeting

    NCAR, 12-14 Feb. 2008


    Cre cancellation over the warm pool

    CRE Cancellation over the Warm Pool?

    • Super CAM reproduces correlation of SW and LW CRE found in observations.

    • Super CAM tends to overestimate SW cloud forcing over the warm pool.

    CCSM AMWG Meeting

    NCAR, 12-14 Feb. 2008


    Surface temperature

    Surface Temperature

    • Super CAM has small mean errors in surface temperature (by design).

    • Super CAM tends to overestimate tropical land surface temperatures.

    • Fidelity of high-latitude land surface temperatures is much better than CAM.

    CCSM AMWG Meeting

    NCAR, 12-14 Feb. 2008


    Surface longwave fluxes

    Surface Longwave Fluxes

    • Downward longwave fluxes agree with observations.

    • Net longwave fluxes are affected by temperature biases.

    CCSM AMWG Meeting

    NCAR, 12-14 Feb. 2008


    Surface radiative clear sky fluxes

    Surface Radiative Clear-Sky Fluxes

    • Largest biases in clear-sky fluxes occur over tropical land.

    • Biases in longwave from temperature; shortwave from ?

    CCSM AMWG Meeting

    NCAR, 12-14 Feb. 2008


    Next steps

    Next steps

    • How do MMF and standard physics differ throughout the life cycle of MJO events?

    • Methodology: run MMF and standard physicsside by side on the same model.

    • Analysis:

      • Composite MJO events (in Lagrangian sense?)

      • Contrast tendencies from MMF and standard physics

    • Experimental design to be done in near future.

    CCSM AMWG Meeting

    NCAR, 12-14 Feb. 2008


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