Erroneous Relationships among Humidity and Cloud Forcing Variables in Three Global Climate Models

Florian Bennhold Department of Geology and Geophysics, Yale University, New Haven, Connecticut

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Steven Sherwood Department of Geology and Geophysics, Yale University, New Haven, Connecticut

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Abstract

Links are examined between time-averaged cloud radiative properties, particularly the longwave and shortwave components of cloud radiative forcing (CRF), and properties of the long-term averages of atmospheric soundings, in particular upper-tropospheric humidity (UTH), lower-tropospheric precipitable water (PW), and static stability (SS). The joint distributions of moisture measures and the composite or conditional mean CRF for different moisture and stability combinations are computed. This expands on previous studies that have examined cloud properties versus vertical velocity and surface temperature. These computations are done for satellite observations and for three representative coupled climate models from major modeling centers.

Aside from mean biases reported previously, several departures are identified between the modeled and observed joint distributions that are qualitative and significant. Namely, the joint distribution of PW and UTH is very compact in observations but less so in models, cloud forcings are tightly related to PW in the data but to UTH in the models, and strong negative net CRF in marine stratocumulus regions occurs only for high SS and low UTH in the data but violates one or both of these restrictions in each of the models.

All three errors are preliminarily interpreted as symptoms of inadequate dependence of model convective development on ambient humidity above the boundary layer. In any case, the character of the errors suggests utility for model testing and future development. A set of scalar metrics for quantifying some of the problems is presented; these metrics can be easily applied to standard model output.

Finally, an examination of doubled-CO2 simulations suggests that the errors noted here are significantly affecting cloud feedback in at least some models. For example, in one model a strong negative feedback is found from clouds forming in model conditions that never occur in the observations.

Corresponding author address: S. Sherwood, Dept. of Geology and Geophysics, Yale University, P.O. Box 208109, New Haven, CT 6520-8109. Email: Steven.Sherwood@yale.edu

Abstract

Links are examined between time-averaged cloud radiative properties, particularly the longwave and shortwave components of cloud radiative forcing (CRF), and properties of the long-term averages of atmospheric soundings, in particular upper-tropospheric humidity (UTH), lower-tropospheric precipitable water (PW), and static stability (SS). The joint distributions of moisture measures and the composite or conditional mean CRF for different moisture and stability combinations are computed. This expands on previous studies that have examined cloud properties versus vertical velocity and surface temperature. These computations are done for satellite observations and for three representative coupled climate models from major modeling centers.

Aside from mean biases reported previously, several departures are identified between the modeled and observed joint distributions that are qualitative and significant. Namely, the joint distribution of PW and UTH is very compact in observations but less so in models, cloud forcings are tightly related to PW in the data but to UTH in the models, and strong negative net CRF in marine stratocumulus regions occurs only for high SS and low UTH in the data but violates one or both of these restrictions in each of the models.

All three errors are preliminarily interpreted as symptoms of inadequate dependence of model convective development on ambient humidity above the boundary layer. In any case, the character of the errors suggests utility for model testing and future development. A set of scalar metrics for quantifying some of the problems is presented; these metrics can be easily applied to standard model output.

Finally, an examination of doubled-CO2 simulations suggests that the errors noted here are significantly affecting cloud feedback in at least some models. For example, in one model a strong negative feedback is found from clouds forming in model conditions that never occur in the observations.

Corresponding author address: S. Sherwood, Dept. of Geology and Geophysics, Yale University, P.O. Box 208109, New Haven, CT 6520-8109. Email: Steven.Sherwood@yale.edu

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  • Arakawa, A., 2004: The cumulus parameterization problem: Past, present, and future. J. Climate, 17 , 24932525.

  • Barkstrom, B. R., 1984: The Earth Radiation Budget Experiment (ERBE). Bull. Amer. Meteor. Soc., 65 , 11701185.

  • Bates, J. J., D. L. Jackson, F-M. Bréon, and Z. D. Bergen, 2001: Variability of tropical upper tropospheric humidity 1979–1998. J. Geophys. Res., 106 , 3227132282.

    • Search Google Scholar
    • Export Citation
  • Boer, G. J., and B. Yu, 2003: Climate sensitivity and climate state. Climate Dyn., 21 , 167176. doi:10.1007/s00382-003-0323-7.

  • Bony, S., and J. L. Dufresne, 2005: Marine boundary layer clouds at the heart of tropical cloud feedback uncertainties in climate models. Geophys. Res. Lett., 32 .L20806, doi:10.1029/2005GL023851.

    • Search Google Scholar
    • Export Citation
  • Bony, S., J-L. Dufresne, H. Le Treut, J-J. Morcrette, and C. Senior, 2004: On dynamic and thermodynamic components of cloud changes. Climate Dyn., 22 , 7186. doi:10.1007/s00382-003-0369-6.

    • Search Google Scholar
    • Export Citation
  • Bony, S., and Coauthors, 2006: How well do we understand and evaluate climate change feedback processes? J. Climate, 19 , 34453482.

  • Cess, R. D., and Coauthors, 1996: Cloud feedback in atmospheric general circulation models: An update. J. Geophys. Res., 101 , 1279112794.

    • Search Google Scholar
    • Export Citation
  • Chen, C. T., E. Roeckner, and B. J. Soden, 1996: A comparison of satellite observations and model simulations of column-integrated moisture and upper-tropospheric humidity. J. Climate, 9 , 15611585.

    • Search Google Scholar
    • Export Citation
  • Christy, J. R., R. W. Spencer, W. B. Norris, W. D. Braswell, and D. E. Parker, 2003: Error estimates of version 5.0 of MSUAMSU bulk atmospheric temperatures. J. Atmos. Oceanic Technol., 20 , 613629.

    • Search Google Scholar
    • Export Citation
  • Collins, W. D., and Coauthors, 2006: The Community Climate System Model: CCSM3. J. Climate, 19 , 21222143.

  • Colman, R., 2003: A comparison of climate feedbacks in general circulation models. Climate Dyn., 20 , 865873. doi:10.1007/s00382-003-0310-z.

    • Search Google Scholar
    • Export Citation
  • Eliseev, A. V., H. Le Treut, I. I. Mokhov, M. Doutriaux-Boucher, and A. V. Chernokulsky, 2003: Validation of TOA radiation and clouds simulated by different versions of the LMD general circulation model in comparison to satellite and ground-based data. Izv. Atmos. Oceanic Phys., 39 , S15S26.

    • Search Google Scholar
    • Export Citation
  • Emanuel, K. A., J. D. Neelin, and C. S. Bretherton, 1994: On large-scale circulations in convecting atmospheres. Quart. J. Roy. Meteor. Soc., 120 , 11111143.

    • Search Google Scholar
    • Export Citation
  • Flato, G. M., and G. J. Boer, 2001: Warming asymmetry in climate change simulations. Geophys. Res. Lett., 28 , 195198.

  • Gettelman, A., W. D. Collins, E. J. Fetzer, A. Eldering, F. W. Irion, P. B. Duffy, and G. Bala, 2006: Climatology of upper-tropospheric relative humidity from the Atmospheric Infrared Sounder and implications for climate. J. Climate, 19 , 61046121.

    • Search Google Scholar
    • Export Citation
  • Gordon, C., C. Cooper, C. A. Senior, H. Banks, J. M. Gregory, T. C. Johns, J. F. B. Mitchell, and R. A. Wood, 2000: The simulation of SST, sea ice extents and ocean heat transports in a version of the Hadley Centre coupled model without flux adjustments. Climate Dyn., 16 , 147168.

    • Search Google Scholar
    • Export Citation
  • Grabowski, W. W., and M. W. Moncrieff, 2004: Moisture–convection feedback in the tropics. Quart. J. Roy. Meteor. Soc., 130 , 30813104.

    • Search Google Scholar
    • Export Citation
  • Hanson, H. P., 1991: Marine stratocumulus climatologies. Int. J. Climatol., 11 , 147161.

  • Iacono, M. J., J. S. Delamere, E. J. Mlawer, and S. A. Clough, 2003: Evaluation of upper tropospheric water vapor in the NCAR Community Climate Model (CCM3) using modeled and observed HIRS radiances. J. Geophys. Res., 108 .4037, doi:10.1029/2002JD002539.

    • Search Google Scholar
    • Export Citation
  • Jackson, D. L., and J. J. Bates, 2001: Upper tropospheric humidity algorithm assessment. J. Geophys. Res., 106 , 3225932270.

  • Jensen, M. P., and A. D. Del Genio, 2006: Factors limiting convective cloud-top height at the ARM Nauru Island climate research facility. J. Climate, 19 , 21052117.

    • Search Google Scholar
    • Export Citation
  • John, V. O., and B. J. Soden, 2006: Does convectively-detrained cloud ice enhance water vapor feedback? Geophys. Res. Lett., 33 .L20701, doi:10.1029/2006GL027260.

    • Search Google Scholar
    • Export Citation
  • Kim, S-J., G. M. Flato, and G. J. Boer, 2002: A coupled climate model simulation of the Last Glacial Maximum, Part 2: Approach to equilibrium. Climate Dyn., 20 , 635661. doi:10.1007/s00382-002-0292-2.

    • Search Google Scholar
    • Export Citation
  • Klein, S. A., and D. L. Hartmann, 1993: The seasonal cycle of low stratiform clouds. J. Climate, 6 , 15871606.

  • Lanzante, J. R., and G. E. Gahrs, 2000: The “clear-sky bias” of TOVS upper-tropospheric humidity. J. Climate, 13 , 40344041.

  • Miller, R. L., 1997: Tropical thermostats and low cloud cover. J. Climate, 10 , 409440.

  • Newman, M., P. D. Sardeshmukh, and J. W. Bergman, 2000: An assessment of the NCEP, NASA, and ECMWF reanalyses over the tropical west Pacific warm pool. Bull. Amer. Meteor. Soc., 81 , 4148.

    • Search Google Scholar
    • Export Citation
  • Norris, J. R., and C. P. Weaver, 2001: Improved techniques for evaluating GCM cloudiness applied to the NCAR CCM3. J. Climate, 14 , 25402550.

    • Search Google Scholar
    • Export Citation
  • Norris, J. R., and S. F. Iacobellis, 2005: North Pacific cloud feedbacks inferred from synoptic-scale dynamic and thermodynamic relationships. J. Climate, 18 , 48624878.

    • Search Google Scholar
    • Export Citation
  • Ramanathan, V., 1987: The role of earth radiation budget studies in climate and general. J. Geophys. Res., 92 , 40754096.

  • Ramanathan, V., R. D. Cess, E. F. Harrison, P. Minnis, B. R. Barkstrom, E. Ahmad, and D. Hartmann, 1989: Cloud–radiative forcing and climate: Results from the Earth Radiation Budget Experiment. Science, 243 , 5763.

    • Search Google Scholar
    • Export Citation
  • Randel, D. L., T. J. Greenwald, T. H. Vonder Haar, G. L. Stephens, M. A. Ringerud, and C. L. Combs, 1996: A new global water vapor dataset. Bull. Amer. Meteor. Soc., 77 , 12331254.

    • Search Google Scholar
    • Export Citation
  • Reynolds, R. W., N. A. Rayner, T. M. Smith, D. C. Stokes, and W. Wang, 2002: An improved in situ and satellite SST analysis for climate. J. Climate, 15 , 16091625.

    • Search Google Scholar
    • Export Citation
  • Ringer, M. A., and R. P. Allan, 2004: Evaluating climate model simulations of tropical cloud. Tellus, 56A , 308327.

  • Salathe, E. P., and D. Chesters, 1995: Variability of moisture in the upper troposphere as inferred from TOVS satellite observations and the ECMWF model analyses in 1989. J. Climate, 8 , 120132.

    • Search Google Scholar
    • Export Citation
  • Sherwood, S. C., 1999: Convective precursors and predictability in the tropical western Pacific. Mon. Wea. Rev., 127 , 29772991.

  • Sherwood, S. C., P. Minnis, M. McGill, and J. Chae, 2004: Underestimation of deep convective cloud tops by thermal imagery. Geophys. Res. Lett., 31 .L11102, doi:10.1029/2004GL019699.

    • Search Google Scholar
    • Export Citation
  • Soden, B. J., and F. P. Bretherton, 1993: Upper tropospheric relative humidity from the GOES 6.7 μm channel: Method and climatology for July 1987. J. Geophys. Res., 98 , 1666916688.

    • Search Google Scholar
    • Export Citation
  • Soden, B. J., and F. P. Bretherton, 1996: Interpretation of TOVS water vapor radiances in terms of layer-average relative humidities: Method and climatology for the upper, middle, and lower troposphere. J. Geophys. Res., 101 , 93339344.

    • Search Google Scholar
    • Export Citation
  • Spencer, R. W., and J. R. Christy, 1992: Precision and radiosonde validation of satellite gridpoint temperature anomalies. Part II: A tropospheric retrieval and trends during 1979–90. J. Climate, 5 , 858866.

    • Search Google Scholar
    • Export Citation
  • Stephens, G. L., 2005: Cloud feedbacks in the climate system: A critical review. J. Climate, 18 , 237273.

  • Stephens, G. L., D. L. Jackson, and I. Wittmeyer, 1996: Global observations of upper-tropospheric water vapor derived from TOVS radiance data. J. Climate, 9 , 305326.

    • Search Google Scholar
    • Export Citation
  • Stowasser, M., and K. Hamilton, 2006: Relationship between shortwave cloud radiative forcing and local meteorological variables compared in observations and several global climate models. J. Climate, 19 , 43444359.

    • Search Google Scholar
    • Export Citation
  • Stubenrauch, C. J., V. Briand, and W. B. Rossow, 2002: The role of clear-sky identification in the study of cloud radiative effects: Combined analysis from ISCCP and the scanner of radiation budget. J. Appl. Meteor., 41 , 396412.

    • Search Google Scholar
    • Export Citation
  • Su, H., D. E. Waliser, J. H. Jiang, J. L. Li, W. G. Read, J. W. Waters, and A. M. Tompkins, 2006: Relationships of upper tropospheric water vapor, clouds and SST: MLS observations, ECMWF analyses and GCM simulations. Geophys. Res. Lett., 33 .L22802, doi:10.1029/2006GL027582.

    • Search Google Scholar
    • Export Citation
  • Trenberth, K. E., J. Fasullo, and L. Smith, 2005: Trends and variability in column-integrated atmospheric water vapor. Climate Dyn., 24 , 741758. doi:10.1007/s00382-005-0017-4.

    • Search Google Scholar
    • Export Citation
  • Weaver, C. P., 1999: The interactions among cyclone dynamics, vertical thermodynamic structure, and cloud radiative forcing in the North Atlantic summertime storm track. J. Climate, 12 , 26252642.

    • Search Google Scholar
    • Export Citation
  • Weaver, C. P., and V. Ramanathan, 1997: Relationships between large-scale vertical velocity, static stability, and cloud radiative forcing over Northern Hemisphere extratropical oceans. J. Climate, 10 , 28712887.

    • Search Google Scholar
    • Export Citation
  • Webb, M. J., and Coauthors, 2006: On the contribution of local feedback mechanisms to the range of climate sensitivity in two GCM ensembles. Climate Dyn., 27 , 1738.

    • Search Google Scholar
    • Export Citation
  • Williams, K. D., and G. Tselioudis, 2007: GCM intercomparison of global cloud regimes: Present-day evaluation and climate change response. Climate Dyn., 29 , 231250. doi:10.1007/s00382-007-0232-2.

    • Search Google Scholar
    • Export Citation
  • Williams, K. D., M. A. Ringer, and C. A. Senior, 2003: Evaluating the cloud response to climate change and current climate variability. Climate Dyn., 20 , 705721. doi:10.1007/s00382-002-0303-3.

    • Search Google Scholar
    • Export Citation
  • Williams, K. D., and Coauthors, 2006: Evaluation of a component of the cloud response to climate change in an intercomparison of climate models. Climate Dyn., 26 , 145165. doi:10.1007/s00382-005-0067-7.

    • Search Google Scholar
    • Export Citation
  • Wood, R., and C. S. Bretherton, 2006: On the relationship between stratiform low cloud cover and lower-tropospheric stability. J. Climate, 19 , 64256432.

    • Search Google Scholar
    • Export Citation
  • Wyant, M. C., C. S. Bretherton, J. T. Bacmeister, J. T. Kiehl, I. M. Held, M. Zhao, S. A. Klein, and B. J. Soden, 2006: A comparison of low-latitude cloud properties and their response to climate change in three AGCMs sorted into regimes using mid-tropospheric vertical velocity. Climate Dyn., 27 , 261279.

    • Search Google Scholar
    • Export Citation
  • Zhang, M. H., and Coauthors, 2005: Comparing clouds and their seasonal variations in 10 atmospheric general circulation models with satellite measurements. J. Geophys. Res., 110 .D15S02, doi:10.1029/2004JD005021.

    • Search Google Scholar
    • Export Citation
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