Publication Abstracts

Jiang et al. 2015

Jiang, J.H., H. Su, C. Zhai, T.J. Shen, T. Wu, J. Zhang, J.N.S. Cole, K. von Salzen, L.J. Donner, C. Seman, A. Del Genio, L.S. Nazarenko, J.-L. Dufresne, M. Watanabe, C. Morcrette, T. Koshiro, H. Kawai, A. Gettelman, L. Millán, W.G. Read, N.J. Livesey, Y. Kasai, and M. Shiotani, 2015: Evaluating the diurnal cycle of upper-tropospheric ice clouds in climate models using SMILES observations. J. Atmos. Sci., 72, no. 3, 1022-1044, doi:10.1175/JAS-D-14-0124.1.

Upper-tropospheric ice cloud measurements from the Superconducting Submillimeter Limb Emission Sounder (SMILES) on the International Space Station (ISS) are used to study the diurnal cycle of upper-tropospheric ice cloud in the tropics and midlatitudes (40°S-40°N) and to quantitatively evaluate ice cloud diurnal variability simulated by 10 climate models. Over land, the SMILES-observed diurnal cycle has a maximum around 1800 local solar time (LST), while the model-simulated diurnal cycles have phases differing from the observed cycle by ?4 to 12 h. Over ocean, the observations show much smaller diurnal cycle amplitudes than over land with a peak at 1200 LST, while the modeled diurnal cycle phases are widely distributed throughout the 24-h period. Most models show smaller diurnal cycle amplitudes over ocean than over land, which is in agreement with the observations. However, there is a large spread of modeled diurnal cycle amplitudes ranging from 20% to more than 300% of the observed over both land and ocean. Empirical orthogonal function (EOF) analysis on the observed and model-simulated variations of ice clouds finds that the first EOF modes over land from both observation and model simulations explain more than 70% of the ice cloud diurnal variations and they have similar spatial and temporal patterns. Over ocean, the first EOF from observation explains 26.4% of the variance, while the first EOF from most models explains more than 70%. The modeled spatial and temporal patterns of the leading EOFs over ocean show large differences from observations, indicating that the physical mechanisms governing the diurnal cycle of oceanic ice clouds are more complicated and not well simulated by the current climate models.

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BibTeX Citation

  author={Jiang, J. H. and Su, H. and Zhai, C. and Shen, T. J. and Wu, T. and Zhang, J. and Cole, J. N. S. and von Salzen, K. and Donner, L. J. and Seman, C. and Del Genio, A. and Nazarenko, L. S. and Dufresne, J.-L. and Watanabe, M. and Morcrette, C. and Koshiro, T. and Kawai, H. and Gettelman, A. and Millán, L. and Read, W. G. and Livesey, N. J. and Kasai, Y. and Shiotani, M.},
  title={Evaluating the diurnal cycle of upper-tropospheric ice clouds in climate models using SMILES observations},
  journal={J. Atmos. Sci.},

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RIS Citation

ID  - ji01100l
AU  - Jiang, J. H.
AU  - Su, H.
AU  - Zhai, C.
AU  - Shen, T. J.
AU  - Wu, T.
AU  - Zhang, J.
AU  - Cole, J. N. S.
AU  - von Salzen, K.
AU  - Donner, L. J.
AU  - Seman, C.
AU  - Del Genio, A.
AU  - Nazarenko, L. S.
AU  - Dufresne, J.-L.
AU  - Watanabe, M.
AU  - Morcrette, C.
AU  - Koshiro, T.
AU  - Kawai, H.
AU  - Gettelman, A.
AU  - Millán, L.
AU  - Read, W. G.
AU  - Livesey, N. J.
AU  - Kasai, Y.
AU  - Shiotani, M.
PY  - 2015
TI  - Evaluating the diurnal cycle of upper-tropospheric ice clouds in climate models using SMILES observations
JA  - J. Atmos. Sci.
VL  - 72
IS  - 3
SP  - 1022
EP  - 1044
DO  - 10.1175/JAS-D-14-0124.1
ER  -

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