Articles | Volume 8, issue 12
https://doi.org/10.5194/gmd-8-3801-2015
https://doi.org/10.5194/gmd-8-3801-2015
Development and technical paper
 | 
01 Dec 2015
Development and technical paper |  | 01 Dec 2015

A unified parameterization of clouds and turbulence using CLUBB and subcolumns in the Community Atmosphere Model

K. Thayer-Calder, A. Gettelman, C. Craig, S. Goldhaber, P. A. Bogenschutz, C.-C. Chen, H. Morrison, J. Höft, E. Raut, B. M. Griffin, J. K. Weber, V. E. Larson, M. C. Wyant, M. Wang, Z. Guo, and S. J. Ghan

Related authors

An extensible perturbed parameter ensemble for the Community Atmosphere Model version 6
Trude Eidhammer, Andrew Gettelman, Katherine Thayer-Calder, Duncan Watson-Parris, Gregory Elsaesser, Hugh Morrison, Marcus van Lier-Walqui, Ci Song, and Daniel McCoy
Geosci. Model Dev., 17, 7835–7853, https://doi.org/10.5194/gmd-17-7835-2024,https://doi.org/10.5194/gmd-17-7835-2024, 2024
Short summary
Effect of elevation feedbacks and climate mitigation on future Greenland ice sheet melt
Thirza Feenstra, Miren Vizcaino, Bert Wouters, Michele Petrini, Raymond Sellevold, and Katherine Thayer-Calder
EGUsphere, https://doi.org/10.5194/egusphere-2024-1126,https://doi.org/10.5194/egusphere-2024-1126, 2024
Short summary
Importance of ice nucleation and precipitation on climate with the Parameterization of Unified Microphysics Across Scales version 1 (PUMASv1)
Andrew Gettelman, Hugh Morrison, Trude Eidhammer, Katherine Thayer-Calder, Jian Sun, Richard Forbes, Zachary McGraw, Jiang Zhu, Trude Storelvmo, and John Dennis
Geosci. Model Dev., 16, 1735–1754, https://doi.org/10.5194/gmd-16-1735-2023,https://doi.org/10.5194/gmd-16-1735-2023, 2023
Short summary

Related subject area

Atmospheric sciences
LIMA (v2.0): A full two-moment cloud microphysical scheme for the mesoscale non-hydrostatic model Meso-NH v5-6
Marie Taufour, Jean-Pierre Pinty, Christelle Barthe, Benoît Vié, and Chien Wang
Geosci. Model Dev., 17, 8773–8798, https://doi.org/10.5194/gmd-17-8773-2024,https://doi.org/10.5194/gmd-17-8773-2024, 2024
Short summary
SLUCM+BEM (v1.0): a simple parameterisation for dynamic anthropogenic heat and electricity consumption in WRF-Urban (v4.3.2)
Yuya Takane, Yukihiro Kikegawa, Ko Nakajima, and Hiroyuki Kusaka
Geosci. Model Dev., 17, 8639–8664, https://doi.org/10.5194/gmd-17-8639-2024,https://doi.org/10.5194/gmd-17-8639-2024, 2024
Short summary
NAQPMS-PDAF v2.0: a novel hybrid nonlinear data assimilation system for improved simulation of PM2.5 chemical components
Hongyi Li, Ting Yang, Lars Nerger, Dawei Zhang, Di Zhang, Guigang Tang, Haibo Wang, Yele Sun, Pingqing Fu, Hang Su, and Zifa Wang
Geosci. Model Dev., 17, 8495–8519, https://doi.org/10.5194/gmd-17-8495-2024,https://doi.org/10.5194/gmd-17-8495-2024, 2024
Short summary
Source-specific bias correction of US background and anthropogenic ozone modeled in CMAQ
T. Nash Skipper, Christian Hogrefe, Barron H. Henderson, Rohit Mathur, Kristen M. Foley, and Armistead G. Russell
Geosci. Model Dev., 17, 8373–8397, https://doi.org/10.5194/gmd-17-8373-2024,https://doi.org/10.5194/gmd-17-8373-2024, 2024
Short summary
Observational operator for fair model evaluation with ground NO2 measurements
Li Fang, Jianbing Jin, Arjo Segers, Ke Li, Ji Xia, Wei Han, Baojie Li, Hai Xiang Lin, Lei Zhu, Song Liu, and Hong Liao
Geosci. Model Dev., 17, 8267–8282, https://doi.org/10.5194/gmd-17-8267-2024,https://doi.org/10.5194/gmd-17-8267-2024, 2024
Short summary

Cited articles

Barker, H. W., Pincus, R., and Morcrette, J.-J.: The M}onte Carlo Independent Column Approximation: Application within large-scale models, in: Proceedings of the {GCSS workshop, Kananaskis, Alberta, Canada, Am. Meteorol. Soc., 2002.
Barker, H. W., Cole, J. N. S., Morcrette, J.-J., Pincus, R., Räisänen, P., von Salzen, K., and Vaillancourt, P. A.: The Monte Carlo Independent Column Approximation: An Assessment using Several Global Atmospheric Models, Q. J. Roy. Meteor. Soc., 134, 1463–1478, 2008.
Benedict, J. J. and Randall, D. A.: Observed characteristics of the MJO relative to maximum rainfall, J. Atmos. Sci., 64, 2332–2354, 2007.
Benedict, J. J. and Randall, D. A.: Structure of the Madden-J}ulian oscillation in the superparameterized {CAM, J. Atmos. Sci., 66, 3277–3296, 2009.
Bladé, I. and Hartmann, D. L.: Tropical intraseasonal oscillations in a simple nonlinear model, J. Atmos. Sci., 50, 2922–2939, 1993.
Download
Short summary
This study evaluates a unified cloud parameterization and a Monte Carlo microphysics interface that is implemented in CAM v5.3. We show mean climate and tropical variability results from global simulations. The model has a degradation in precipitation skill but improvements in shortwave cloud forcing, liquid water path, long-wave cloud forcing, precipitable water, and tropical wave simulation. We also show estimation of computational expense and sensitivity to number of subcolumns.