Publication Abstracts

Su et al. 2013

Su, H., J.H. Jiang, C. Zhai, V. Perun, J.T. Shen, A.D. Del Genio, L.S. Nazarenko, L.J. Donner, L.W. Horowitz, C.J. Seman, C.J. Morcrette, J. Petch, M.A. Ringer, J. Cole, M. dos Santos Mesquita, T. Iversen, J.E. Kristjansson, A. Gettelman, L.D. Rotstayn, S.J. Jeffrey, J.-L. Dufresne, M. Watanabe, H. Kawai, T. Koshiro, T. Wu, E.M. Volodin, T. L'Ecuyer, J. Teixeira, and G.L. Stephens, 2013: Diagnosis of regime-dependent cloud simulation errors in CMIP5 models using "A-Train" satellite observations and reanalysis data. J. Geophys. Res. Atmos., 118, no. 7, 2762-2780, doi:10.1029/2012JD018575.

The vertical distributions of cloud water content (CWC) and cloud fraction (CF) over the tropical oceans, produced by 13 coupled atmosphere-ocean models submitted to the Phase 5 of Coupled Model Intercomparison Project (CMIP5), are evaluated against CloudSat/CALIPSO observations as a function of large-scale parameters. Available CALIPSO simulator CF outputs are also examined. A diagnostic framework is developed to decompose the cloud simulation errors into large-scale errors, cloud parameterization errors and co-variation errors. We find that the cloud parameterization errors contribute predominantly to the total errors for all models. The errors associated with large-scale temperature and moisture structures are relatively greater than those associated with large-scale mid-tropospheric vertical velocity and lower-level divergence. All models capture the separation of deep and shallow clouds in distinct large-scale regimes; however, the vertical structures of high/low clouds and their variations with large-scale parameters differ significantly from the observations. The CWCs associated with deep convective clouds simulated in most models do not reach as high in altitude as observed, and their magnitudes are generally weaker than CloudSat total CWC, which includes the contribution of precipitating condensates, but are close to CloudSat non-precipitating CWC. All models reproduce maximum CF associated with convective detrainment, but CALIPSO simulator CFs generally agree better with CloudSat/CALIPSO combined retrieval than the model CFs, especially in the mid-troposphere. Model simulated low clouds tend to have little variation with large-scale parameters except lower-troposphere stability, while the observed low cloud CWC, CF and cloud top height vary consistently in all large-scale regimes.

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BibTeX Citation

@article{su03100m,
  author={Su, H. and Jiang, J. H. and Zhai, C. and Perun, V. and Shen, J. T. and Del Genio, A. D. and Nazarenko, L. S. and Donner, L. J. and Horowitz, L. W. and Seman, C. J. and Morcrette, C. J. and Petch, J. and Ringer, M. A. and Cole, J. and dos Santos Mesquita, M. and Iversen, T. and Kristjansson, J. E. and Gettelman, A. and Rotstayn, L. D. and Jeffrey, S. J. and Dufresne, J.-L. and Watanabe, M. and Kawai, H. and Koshiro, T. and Wu, T. and Volodin, E. M. and L'Ecuyer, T. and Teixeira, J. and Stephens, G. L.},
  title={Diagnosis of regime-dependent cloud simulation errors in CMIP5 models using "A-Train" satellite observations and reanalysis data},
  year={2013},
  journal={J. Geophys. Res. Atmos.},
  volume={118},
  number={7},
  pages={2762--2780},
  doi={10.1029/2012JD018575},
}

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RIS Citation

TY  - JOUR
ID  - su03100m
AU  - Su, H.
AU  - Jiang, J. H.
AU  - Zhai, C.
AU  - Perun, V.
AU  - Shen, J. T.
AU  - Del Genio, A. D.
AU  - Nazarenko, L. S.
AU  - Donner, L. J.
AU  - Horowitz, L. W.
AU  - Seman, C. J.
AU  - Morcrette, C. J.
AU  - Petch, J.
AU  - Ringer, M. A.
AU  - Cole, J.
AU  - dos Santos Mesquita, M.
AU  - Iversen, T.
AU  - Kristjansson, J. E.
AU  - Gettelman, A.
AU  - Rotstayn, L. D.
AU  - Jeffrey, S. J.
AU  - Dufresne, J.-L.
AU  - Watanabe, M.
AU  - Kawai, H.
AU  - Koshiro, T.
AU  - Wu, T.
AU  - Volodin, E. M.
AU  - L'Ecuyer, T.
AU  - Teixeira, J.
AU  - Stephens, G. L.
PY  - 2013
TI  - Diagnosis of regime-dependent cloud simulation errors in CMIP5 models using "A-Train" satellite observations and reanalysis data
JA  - J. Geophys. Res. Atmos.
VL  - 118
IS  - 7
SP  - 2762
EP  - 2780
DO  - 10.1029/2012JD018575
ER  -

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