Large-Eddy Simulations of a Drizzling, Stratocumulus-Topped Marine Boundary Layer

Author:

Ackerman Andrew S.1,vanZanten Margreet C.2,Stevens Bjorn3,Savic-Jovcic Verica3,Bretherton Christopher S.4,Chlond Andreas5,Golaz Jean-Christophe6,Jiang Hongli7,Khairoutdinov Marat8,Krueger Steven K.9,Lewellen David C.10,Lock Adrian11,Moeng Chin-Hoh12,Nakamura Kozo13,Petters Markus D.14,Snider Jefferson R.15,Weinbrecht Sonja16,Zulauf Mike9

Affiliation:

1. NASA Goddard Institute for Space Studies, New York, New York

2. Royal Netherlands Meteorological Institute, De Bilt, Netherlands

3. Department of Atmospheric and Oceanic Sciences, University of California, Los Angeles, Los Angeles, California

4. Department of Atmospheric Sciences, University of Washington, Seattle, Washington

5. Max Planck Institute for Meteorology, Hamburg, Germany

6. UCAR Visiting Scientist Program, NOAA/Geophysical Fluid Dynamics Laboratory, Princeton, New Jersey

7. NOAA/Earth System Research Laboratory, Boulder, Colorado

8. School of Marine and Atmospheric Sciences, Stony Brook University, Stony Brook, New York

9. Department of Meteorology, University of Utah, Salt Lake City, Utah

10. MAE Department, West Virginia University, Morgantown, West Virginia

11. Met Office, Exeter, United Kingdom

12. National Center for Atmospheric Research, Boulder, Colorado

13. Frontier Research Center for Global Change, Japan Agency for Marine–Earth Science and Technology, Yokahama, Japan

14. Department of Atmospheric Science, Colorado State University, Fort Collins, Colorado

15. Department of Atmospheric Science, University of Wyoming, Laramie, Wyoming

16. Department of Meteorology, University of Reading, Reading, United Kingdom

Abstract

Abstract Cloud water sedimentation and drizzle in a stratocumulus-topped boundary layer are the focus of an intercomparison of large-eddy simulations. The context is an idealized case study of nocturnal stratocumulus under a dry inversion, with embedded pockets of heavily drizzling open cellular convection. Results from 11 groups are used. Two models resolve the size distributions of cloud particles, and the others parameterize cloud water sedimentation and drizzle. For the ensemble of simulations with drizzle and cloud water sedimentation, the mean liquid water path (LWP) is remarkably steady and consistent with the measurements, the mean entrainment rate is at the low end of the measured range, and the ensemble-average maximum vertical wind variance is roughly half that measured. On average, precipitation at the surface and at cloud base is smaller, and the rate of precipitation evaporation greater, than measured. Including drizzle in the simulations reduces convective intensity, increases boundary layer stratification, and decreases LWP for nearly all models. Including cloud water sedimentation substantially decreases entrainment, decreases convective intensity, and increases LWP for most models. In nearly all cases, LWP responds more strongly to cloud water sedimentation than to drizzle. The omission of cloud water sedimentation in simulations is strongly discouraged, regardless of whether or not precipitation is present below cloud base.

Publisher

American Meteorological Society

Subject

Atmospheric Science

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