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New Evidence on the Importance of Cloud Representations for Climate Simulations

New Evidence on the Importance of Cloud Representations for Climate Simulations. Cristina Stan Center for Ocean-Land-Atmosphere Studies, COLA. Acknowledgement Marat Khairoutdinov, Stony Brook University Charlotte DeMott, Colorado State University V. Krishnamurthy, COLA/GMU.

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New Evidence on the Importance of Cloud Representations for Climate Simulations

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  1. New Evidence on the Importance of Cloud Representations for Climate Simulations Cristina Stan Center for Ocean-Land-Atmosphere Studies, COLA Acknowledgement Marat Khairoutdinov, Stony Brook University Charlotte DeMott, Colorado State University V. Krishnamurthy, COLA/GMU

  2. Common biases in the current generation of CGCMs • Second spurious Inter-Tropical Convergence Zone (ITCZ) south of the equator in the eastern Pacific • Errors in the precipitation distribution over the Indo-Pacific Warm Pool with • An excess of precipitation over the western Indian Ocean and Maritime Continent • Dry biases over Bay of Bengal • Misrepresentation of the MJO • Does not occur often enough • Underestimation of the strength and coherence of convection and wind variability • Life cycle • ENSO with • Unrealistic amplitude • Period that is too long or too short • Symmetric structure of the warm-cold events • Weak ENSO-monsoon teleconnection

  3. Models Configuration

  4. Precipitation Simulation Winter Climatology SPCCSM OBS CCSM SPCAM

  5. Precipitation Simulation Summer Climatology SPCCSM OBS CCSM SPCAM

  6. CCSM SP-CCSM OBS

  7. MJO Simulation(Summer, 20-100 bandpass ) SP-CCSM CCSM OBS

  8. MJO Simulation(Winter, 20-100 bandpass ) CCSM SP-CCSM OBS

  9. ENSO SimulationNiño 3.4 (5S-5N,170W-120W) OBS SP-CCSM CCSM

  10. ENSO SimulationNiño 3.4 (5S-5N,170W-120W) OBS 48 months 30 months 24 months

  11. SSTA Regression with Niño3.4 OBS SP-CCSM CCSM

  12. ENSO-Monsoon RelationshipIMR (JJA), SSTA(DJF-1) SP-CCSM OBS CCSM

  13. Annual Implied Northward Ocean Heat Transport OBS SP-CCSM CCSM

  14. Conclusions • On interannual time-scales, SP-CCSM produces an improved ENSO with irregular frequency of events; • On seasonal time-scales, SP-CCSM simulates a realistic relationship between the Indian summer monsoon and the sea surface temperature (SST) anomaly during the winter season following the monsoon especially for the eastern Pacific. In the western Pacific, SP-CCSM shows a reversed correlation between the SST anomaly and monsoon. • On intraseasonal time-scales, SP-CCSM captures the 20-100 day bandpass variability of precipitation and atmospheric circulation. Compared to the control simulation, the SP-CCSM produces a much more robust and realistic Madden-Julian Oscillation (MJO).

  15. Future Work • Use SP-CCSM as prediction tool • Couple the new version of SP-CAM with an ocean with higher resolution.

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