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Goals of KT Theme

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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  1. 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

  2. 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

  3. 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

  4. 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

  5. Mean and Variability Diagnostics CCSM AMWG Meeting NCAR, 12-14 Feb. 2008

  6. 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

  7. 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

  8. 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

  9. 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

  10. 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

  11. 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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