The GFDL Global Atmosphere and Land Model AM4.0/LM4.0: 1. Simulation Characteristics With Prescribed SSTs

By Mingde Zhao, J. Golaz, I. Held, Huan Guo, V. Balaji, R. Benson, Jan‐Huey Chen, Xi Chen, Leo Donner, J. Dunne and 35 more. 2018

244 citations recorded by the source corpus.

In this two‐part paper, a description is provided 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). This version, with roughly 100 km horizontal resolution and 33 levels in the vertical, contains an aerosol model that generates aerosol fields from emissions and a “light” chemistry mechanism designed to support the aerosol model but with prescribed ozone. In Part 1, the quality of the simulation in AMIP (Atmospheric Model Intercomparison Project) mode—with prescribed sea surface temperatures (SSTs) and sea‐ice distribution—is described and compared with previous GFDL models and with the CMIP5 archive of AMIP simulations. The model's Cess sensitivity (response in the top‐of‐atmosphere radiative flux to uniform warming of SSTs) and effective radiative forcing are also presented. In Part 2, the model formulation is described more fully and key sensitivities to aspects of the model formulation are discussed, along with the approach to model tuning.

Subfields: Atmospheric Science, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/4b77ff5529dff24e625b93441bf06e71cfa7126e

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In Atmospheric Science

1. L. Harris
2. Shian‐Jiann Lin
3. I. Held
4. Andrew T. Wittenberg
5. V. Ramaswamy
6. Yi Ming
7. Ming Zhao
8. P. Phillipps

In Global and Planetary Change

1. Shian‐Jiann Lin
2. L. Harris
3. P. Phillipps
4. Yi Ming
5. M. Winton
6. J. Golaz
7. V. Ramaswamy
8. Ming Zhao

Citations in the corpus

• The GFDL Global Atmosphere and Land Model AM4.0/LM4.0: 2. Model Description, Sensitivity Studies, and Tuning Strategies (2018, background): “0 atmosphere/land model has been provided in Zhao et al. (2018) (below referred to as Part 1).”
• Tropospheric ozone in CMIP6 simulations (2020, methodology): “0 (Zhao et al., 2018), with the following updates: (1) ammonium and nitrate aerosols are treated explicitly, with ISORROPIA (Fountoukis and Nenes, 2007) used to simulate the sulfate–nitrate–ammonia thermodynamic equilibrium; (2) oxidation of sulfur dioxide and dimethyl sulfide to produce sulfate…”