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The GFDL Global Atmosphere and Land Model AM4.0/LM4.0: 2. Model Description, Sensitivity Studies, and Tuning Strategies

  • M. Zhao
  • , J. C. Golaz
  • , I. M. Held
  • , H. Guo
  • , V. Balaji
  • , R. Benson
  • , J. H. Chen
  • , X. Chen
  • , L. J. Donner
  • , J. P. Dunne
  • , K. Dunne
  • , J. Durachta
  • , S. M. Fan
  • , S. M. Freidenreich
  • , S. T. Garner
  • , P. Ginoux
  • , L. M. Harris
  • , L. W. Horowitz
  • , J. P. Krasting
  • , A. R. Langenhorst
  • Z. Liang, P. Lin, S. J. Lin, S. L. Malyshev, E. Mason, P. C.D. Milly, Y. Ming, V. Naik, F. Paulot, D. Paynter, P. Phillipps, A. Radhakrishnan, V. Ramaswamy, T. Robinson, D. Schwarzkopf, C. J. Seman, E. Shevliakova, Z. Shen, H. Shin, L. G. Silvers, J. R. Wilson, M. Winton, A. T. Wittenberg, B. Wyman, B. Xiang
    • National Oceanic and Atmospheric Administration
    • Lawrence Livermore Natl. Laboratory
    • UCAR/GFDL
    • Princeton University
    • United States Geological Survey
    • Engility Corporation/GFDL
    • NASA Ames Research Center

    Research output: Contribution to journalArticlepeer-review

    304 Scopus citations

    Abstract

    In Part 2 of this two-part paper, documentation is provided of key aspects of a version of the AM4.0/LM4.0 atmosphere/land model that will serve as a base for a new set of climate and Earth system models (CM4 and ESM4) under development at NOAA's Geophysical Fluid Dynamics Laboratory (GFDL). The quality of the simulation in AMIP (Atmospheric Model Intercomparison Project) mode has been provided in Part 1. Part 2 provides documentation of key components and some sensitivities to choices of model formulation and values of parameters, highlighting the convection parameterization and orographic gravity wave drag. The approach taken to tune the model's clouds to observations is a particular focal point. Care is taken to describe the extent to which aerosol effective forcing and Cess sensitivity have been tuned through the model development process, both of which are relevant to the ability of the model to simulate the evolution of temperatures over the last century when coupled to an ocean model.

    Original languageEnglish
    Pages (from-to)735-769
    Number of pages35
    JournalJournal of Advances in Modeling Earth Systems
    Volume10
    Issue number3
    DOIs
    StatePublished - Mar 2018

    Keywords

    • atmospheric variability
    • climate simulation
    • cloud and aerosol effect
    • convection and clouds
    • global atmospheric model
    • global climate model development

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