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CGILS: Results from the first phase of an international project to understand the physical mechanisms of low cloud feedbacks in single column models

  • Minghua Zhang
  • , Christopher S. Bretherton
  • , Peter N. Blossey
  • , Phillip H. Austin
  • , Julio T. Bacmeister
  • , Sandrine Bony
  • , Florent Brient
  • , Suvarchal K. Cheedela
  • , Anning Cheng
  • , Anthony D. Del Genio
  • , Stephan R. De Roode
  • , Satoshi Endo
  • , Charmaine N. Franklin
  • , Jean Christophe Golaz
  • , Cecile Hannay
  • , Thijs Heus
  • , Francesco Alessandro Isotta
  • , Jean Louis Dufresne
  • , In Sik Kang
  • , Hideaki Kawai
  • Martin Köhler, Vincent E. Larson, Yangang Liu, Adrian P. Lock, Ulrike Lohmann, Marat F. Khairoutdinov, Andrea M. Molod, Roel A.J. Neggers, Philip Rasch, Irina Sandu, Ryan Senkbeil, A. Pier Siebesma, Colombe Siegenthaler-Le Drian, Bjorn Stevens, Max J. Suarez, Kuan Man Xu, Knut von Salzen, Mark J. Webb, Audrey Wolf, Ming Zhao
  • Stony Brook University
  • University of Washington
  • University of British Columbia
  • Ecole Polytechnique
  • Max Planck Institute for Meteorology
  • NASA Langley Research Center
  • NASA Goddard Institute for Space Studies
  • Delft University of Technology
  • Brookhaven National Laboratory
  • CSIRO
  • National Oceanic and Atmospheric Administration
  • Swiss Federal Institute of Technology Zurich
  • Seoul National University
  • Japan Meteorological Agency
  • European Centre for Medium-Range Weather Forecasts
  • University of Wisconsin-Milwaukee
  • Met Office
  • NASA Goddard Space Flight Center
  • Royal Netherlands Meteorological Institute
  • Pacific Northwest National Laboratory
  • Université Laval and Environment and Climate Change Canada
  • Columbia University

Research output: Contribution to journalArticlepeer-review

135 Scopus citations

Abstract

CGILS-the CFMIP-GASS Intercomparison of Large Eddy Models (LESs) and single column models (SCMs)-investigates the mechanisms of cloud feedback in SCMs and LESs under idealized climate change perturbation. This paper describes the CGILS results from 15 SCMs and 8 LES models. Three cloud regimes over the subtropical oceans are studied: shallow cumulus, cumulus under stratocumulus, and well-mixed coastal stratus/stratocumulus. In the stratocumulus and coastal stratus regimes, SCMs without activated shallow convection generally simulated negative cloud feedbacks, while models with active shallow convection generally simulated positive cloud feedbacks. In the shallow cumulus alone regime, this relationship is less clear, likely due to the changes in cloud depth, lateral mixing, and precipitation or a combination of them. The majority of LES models simulated negative cloud feedback in the well-mixed coastal stratus/stratocumulus regime, and positive feedback in the shallow cumulus and stratocumulus regime. A general framework is provided to interpret SCM results: in a warmer climate, the moistening rate of the cloudy layer associated with the surface-based turbulence parameterization is enhanced; together with weaker large-scale subsidence, it causes negative cloud feedback. In contrast, in the warmer climate, the drying rate associated with the shallow convection scheme is enhanced. This causes positive cloud feedback. These mechanisms are summarized as the "NESTS" negative cloud feedback and the "SCOPE" positive cloud feedback (Negative feedback from Surface Turbulence under weaker Subsidence-Shallow Convection PositivE feedback) with the net cloud feedback depending on how the two opposing effects counteract each other. The LES results are consistent with these interpretations.

Original languageEnglish
Pages (from-to)826-842
Number of pages17
JournalJournal of Advances in Modeling Earth Systems
Volume5
Issue number4
DOIs
StatePublished - Dec 1 2013

Keywords

  • CGILS
  • Large eddy models
  • Low cloud feedbacks
  • Single column models

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