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

Zhao, Ming; Golaz, J. -C.; Held, I. M.; Guo, H.; Balaji, V.; Benson, R.; Chen, J. -H.; Chen, X.; Donner, L. J.; Dunne, J. P.; Dunne, K.; Durachta, J.; Fan, S. -M.; Freidenreich, S. M.; Garner, S. T.; Ginoux, P.; Harris, L. M.; Horowitz, L. W.; Krasting, J. P.; Langenhorst, A. R.; Liang, Z.; Lin, P.; Lin, S. -J.; Malyshev, S. L.; Mason, E.; Milly, P. C. D.; Ming, Y.; Naik, V.; Paulot, F.; Paynter, D.; Phillipps, P.; Radhakrishnan, A.; Ramaswamy, V.; Robinson, T.; Schwarzkopf, D.; Seman, C. J.; Shevliakova, E.; Shen, Z.; Shin, H.; Silvers, L. G.; Wilson, J. R.; Winton, M.; Wittenberg, A. T.; Wyman, B.; Xiang, B.

doi:10.1002/2017MS001208

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

Journal Article · Mon Feb 19 00:00:00 EST 2018 · Journal of Advances in Modeling Earth Systems

DOI:https://doi.org/10.1002/2017MS001208· OSTI ID:1438743

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GFDL/NOAA, Princeton, NJ (United States)
GFDL/NOAA, Princeton, NJ (United States); Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
UCAR/GFDL, Princeton, NJ (United States)
Princeton Univ., Princeton, NJ (United States)
U.S. Geological Survey, Princeton, NJ (United States)
Engility Corporation/GFDL, Princeton, NJ (United States)
GFDL/NOAA, Princeton, NJ (United States); U. S. Geological Survey, Princeton, NJ (United States)
NASA Ames Research Center, Moffett Field, CA (United States)

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. Here, 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.

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Research Organization:: Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)

Sponsoring Organization:: USDOE

Grant/Contract Number:: AC52-07NA27344

OSTI ID:: 1438743

Report Number(s):: LLNL-JRNL-736689

Journal Information:: Journal of Advances in Modeling Earth Systems, Vol. 10, Issue 3; ISSN 1942-2466

Publisher:: American Geophysical Union (AGU)Copyright Statement

Country of Publication:: United States

Language:: English

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Cited by: 154 works

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Impact of preindustrial to present-day changes in short-lived pollutant emissions on atmospheric composition and climate forcing: IMPACT OF SHORT-LIVED POLLUTANT EMISSION Naik, Vaishali; Horowitz, Larry W.; Fiore, Arlene M. Journal of Geophysical Research: Atmospheres, Vol. 118, Issue 14 https://doi.org/10.1002/jgrd.50608	journal	July 2013

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Climate variability over South America‐regional and large scale features simulated by the Brazilian Atmospheric Model (BAM‐v0) Cavalcanti, Iracema F. A.; Silveira, Virginia P.; Figueroa, Silvio N. International Journal of Climatology, Vol. 40, Issue 5 https://doi.org/10.1002/joc.6370	journal	April 2020
Subseasonal Week 3–5 Surface Air Temperature Prediction During Boreal Wintertime in a GFDL Model Xiang, Baoqiang; Lin, Shian‐Jiann; Zhao, Ming Geophysical Research Letters, Vol. 46, Issue 1 https://doi.org/10.1029/2018gl081314	journal	January 2019
Investigation of the global methane budget over 1980–2017 using GFDL-AM4.1 He, Jian; Naik, Vaishali; Horowitz, Larry W. Atmospheric Chemistry and Physics, Vol. 20, Issue 2 https://doi.org/10.5194/acp-20-805-2020	journal	January 2020
Theories for Past and Future Monsoon Rainfall Changes Hill, Spencer A. Current Climate Change Reports, Vol. 5, Issue 3 https://doi.org/10.1007/s40641-019-00137-8	journal	June 2019
Sensitivity of Ozone Dry Deposition to Ecosystem‐Atmosphere Interactions: A Critical Appraisal of Observations and Simulations Lin, Meiyun; Malyshev, Sergey; Shevliakova, Elena Global Biogeochemical Cycles, Vol. 33, Issue 10 https://doi.org/10.1029/2018gb006157	journal	October 2019
Explicit Prediction of Continental Convection in a Skillful Variable‐Resolution Global Model Harris, Lucas M.; Rees, Shannon L.; Morin, Matthew Journal of Advances in Modeling Earth Systems, Vol. 11, Issue 6 https://doi.org/10.1029/2018ms001542	journal	June 2019
Sensitivity of Radiative‐Convection Equilibrium to Divergence Damping in GFDL‐FV3‐Based Cloud‐Resolving Model Simulations Anber, Usama M.; Jeevanjee, Nadir; Harris, Lucas M. Journal of Advances in Modeling Earth Systems, Vol. 10, Issue 7 https://doi.org/10.1029/2017ms001225	journal	July 2018
Improved Surface Layer Simulation Using Refined Vertical Resolution in the GFDL Atmospheric General Circulation Model Shin, Hyeyum Hailey; Ming, Yi; Zhao, Ming Journal of Advances in Modeling Earth Systems, Vol. 11, Issue 4 https://doi.org/10.1029/2018ms001437	journal	April 2019
Exploring the relationship between surface PM_2.5 and meteorology in Northern India Schnell, Jordan L.; Naik, Vaishali; Horowitz, Larry W. Atmospheric Chemistry and Physics, Vol. 18, Issue 14 https://doi.org/10.5194/acp-18-10157-2018	journal	January 2018
Retrieving the global distribution of the threshold of wind erosion from satellite data and implementing it into the Geophysical Fluid Dynamics Laboratory land–atmosphere model (GFDL AM4.0/LM4.0) Pu, Bing; Ginoux, Paul; Guo, Huan Atmospheric Chemistry and Physics, Vol. 20, Issue 1 https://doi.org/10.5194/acp-20-55-2020	journal	January 2020
Quantifying the Drivers of the Clear Sky Greenhouse Effect, 2000–2016 Raghuraman, Shiv Priyam; Paynter, David; Ramaswamy, V. Journal of Geophysical Research: Atmospheres, Vol. 124, Issue 21 https://doi.org/10.1029/2019jd031017	journal	November 2019

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