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Article Type:
Research Article

Simulations of the Tropical General Circulation with a Multiscale Global Model

David Randall1, Charlotte DeMott1, Cristiana Stan2, Marat Khairoutdinov3, James Benedict4, Rachel McCrary5, Katherine Thayer-Calder6, and Mark Branson1
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  • 1 * Colorado State University, Fort Collins, Colorado
  • | 2 George Mason University, Fairfax, Virginia
  • | 3 Stony Brook University, Stony Brook, New York
  • | 4 Lawrence Berkeley National Laboratory, Berkeley, California
  • | 5 ** NCAR, Boulder, Colorado
  • | 6 University of Wisconsin–Milwaukee, Milwaukee, Wisconsin
Print Publication:
01 Apr 2016
DOI:
https://doi.org/10.1175/AMSMONOGRAPHS-D-15-0016.1
Page(s):
15.1–15.15
Restricted access

Abstract

Cloud processes play a central role in the dynamics of the tropical atmosphere, but for many years the shortcomings of cloud parameterizations have limited our ability to simulate and understand important tropical weather systems such as the Madden–Julian oscillation. Since about 2001, “superparameterization” has emerged as a new path forward, complementing but not replacing studies based on conventional parameterizations. This chapter provides an overview of work with superparameterization, including a discussion of the method itself and a summary of key results.

Current affiliation: Rosenstiel School of Marine & Atmospheric Science, University of Miami

Current affiliation: NCAR

Corresponding author address: David Randall, Atmospheric Science, Colorado State University, 200 W. Lake St., Fort Collins, CO 80523. E-mail: randall@atmos.colostate.edu

Abstract

Cloud processes play a central role in the dynamics of the tropical atmosphere, but for many years the shortcomings of cloud parameterizations have limited our ability to simulate and understand important tropical weather systems such as the Madden–Julian oscillation. Since about 2001, “superparameterization” has emerged as a new path forward, complementing but not replacing studies based on conventional parameterizations. This chapter provides an overview of work with superparameterization, including a discussion of the method itself and a summary of key results.

Current affiliation: Rosenstiel School of Marine & Atmospheric Science, University of Miami

Current affiliation: NCAR

Corresponding author address: David Randall, Atmospheric Science, Colorado State University, 200 W. Lake St., Fort Collins, CO 80523. E-mail: randall@atmos.colostate.edu
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