The new GFDL global atmosphere and land model AM2-LM2: Evaluation with prescribed SST simulations

The configuration and performance of a new global atmosphere and land model for climate research developed at the Geophysical Fluid Dynamics Laboratory (GFDL) are presented. The atmosphere model, known as AM2, includes a new gridpoint dynamical core, a prognostic cloud scheme, and a multispecies aerosol climatology, as well as components from previous models used at GFDL. The land model, known as LM2, includes soil sensible and latent heat storage, groundwater storage, and stomatal resistance. The performance of the coupled model AM2‐LM2 is evaluated with a series of prescribed sea surface temperature (SST) simulations. Particular

[1]  A. Lacis,et al.  Calculation of radiative fluxes from the surface to top of atmosphere based on ISCCP and other global data sets: Refinements of the radiative transfer model and the input data , 2004 .

[2]  A. P. Siebesma,et al.  Cloud representation in general‐circulation models over the northern Pacific Ocean: A EUROCS intercomparison study , 2004 .

[3]  Shian‐Jiann Lin.  A “Vertically Lagrangian” Finite-Volume Dynamical Core for Global Models , 2004 .

[4]  Laurence S. Rothman,et al.  The HITRAN molecular spectroscopic database: edition of 2000 including updates through 2001 , 2003 .

[5]  A. P. Siebesma,et al.  A Large Eddy Simulation Intercomparison Study of Shallow Cumulus Convection , 2003 .

[6]  J. Morcrette,et al.  A fast, flexible, approximate technique for computing radiative transfer in inhomogeneous cloud fields , 2003 .

[7]  C. Wunsch,et al.  Large-Scale Ocean Heat and Freshwater Transports during the World Ocean Circulation Experiment , 2003 .

[8]  V. Ramaswamy,et al.  Effects of ozone and well‐mixed gases on annual‐mean stratospheric temperature trends , 2002 .

[9]  Keith W. Dixon,et al.  Review of simulations of climate variability and change with the GFDL R30 coupled climate model , 2002 .

[10]  John E. Walsh,et al.  Comparison of Arctic Climate Simulations by Uncoupled and Coupled Global Models , 2002 .

[11]  A. Tompkins.  A Prognostic Parameterization for the Subgrid-Scale Variability of Water Vapor and Clouds in Large-Scale Models and Its Use to Diagnose Cloud Cover , 2002 .

[12]  P. Milly,et al.  Global Modeling of Land Water and Energy Balances. Part I: The Land Dynamics (LaD) Model , 2002 .

[13]  F. Vitart,et al.  Seasonal Forecasting of Tropical Storms Using Coupled GCM Integrations , 2001 .

[14]  S. Bony,et al.  Combining ERBE and ISCCP data to assess clouds in the Hadley Centre, ECMWF and LMD atmospheric climate models , 2001 .

[15]  Leo J. Donner,et al.  A Cumulus Parameterization Including Mass Fluxes, Convective Vertical Velocities, and Mesoscale Effects: Thermodynamic and Hydrological Aspects in a General Circulation Model , 2001 .

[16]  K. Trenberth,et al.  Estimates of Meridional Atmosphere and Ocean Heat Transports , 2001 .

[17]  A. Lock.  The Numerical Representation of Entrainment in Parameterizations of Boundary Layer Turbulent Mixing , 2001 .

[18]  J. Lamarque,et al.  A global simulation of tropospheric ozone and related tracers: Description and evaluation of MOZART, version 2 , 2001 .

[19]  K. Taylor.  Summarizing multiple aspects of model performance in a single diagram , 2001 .

[20]  Christopher S. Bretherton,et al.  A Moist PBL Parameterization for Large-Scale Models and Its Application to Subtropical Cloud-Topped Marine Boundary Layers , 2001 .

[21]  Xiaoqing Wu,et al.  NOTES AND CORRESPONDENCE Convective Eddy Momentum Tendencies in Long Cloud-Resolving Model Simulations , 2001 .

[22]  Ngar-Cheung Lau,et al.  Impact of ENSO on the Variability of the Asian–Australian Monsoons as Simulated in GCM Experiments , 2000 .

[23]  S. Klein,et al.  Unresolved spatial variability and microphysical process rates in large‐scale models , 2000 .

[24]  V. Ramaswamy,et al.  Radiative impact of the Mount Pinatubo volcanic eruption: Lower stratospheric response , 2000 .

[25]  S. Derbyshire,et al.  The numerical stability of a parametrization of convective momentum transport , 2000 .

[26]  Robin J. Hogan,et al.  Deriving cloud overlap statistics from radar , 2000 .

[27]  G. Martin,et al.  A New Boundary Layer Mixing Scheme. Part I: Scheme Description and Single-Column Model Tests , 2000 .

[28]  Stephen A. Klein,et al.  A parametrization of the effects of cloud and precipitation overlap for use in general‐circulation models , 2000 .

[29]  Leon D. Rotstayn,et al.  On the “tuning” of autoconversion parameterizations in climate models , 2000 .

[30]  J. Katzfey,et al.  A Scheme for Calculation of the Liquid Fraction in Mixed-Phase Stratiform Clouds in Large-Scale Models , 2000 .

[31]  J. Wallace,et al.  Annular Modes in the Extratropical Circulation. Part I: Month-to-Month Variability* , 2000 .

[32]  V. Ramaswamy,et al.  A new multiple‐band solar radiative parameterization for general circulation models , 1999 .

[33]  T. Dunkerton,et al.  A spectral parameterization of mean-flow forcing due to breaking gravity waves , 1999 .

[34]  W. Rossow,et al.  Advances in understanding clouds from ISCCP , 1999 .

[35]  S. Klein,et al.  Validation and Sensitivities of Frontal Clouds Simulated by the ECMWF Model , 1999 .

[36]  Y. Sud,et al.  Microphysics of Clouds with the Relaxed Arakawa–Schubert Scheme (McRAS). Part I: Design and Evaluation with GATE Phase III Data , 1999 .

[37]  Gary G. Gibson,et al.  A Climatology of Surface Radiation Budget Derived from Satellite Data , 1999 .

[38]  Rajagopalan,et al.  On the weakening relationship between the indian monsoon and ENSO , 1999, Science.

[39]  V. Ramaswamy,et al.  Radiative effects of CH4, N2O, halocarbons and the foreign‐broadened H2O continuum: A GCM experiment , 1999 .

[40]  P. Jones,et al.  Representing Twentieth-Century Space–Time Climate Variability. Part I: Development of a 1961–90 Mean Monthly Terrestrial Climatology , 1999 .

[41]  Ramaswamy,et al.  Tropospheric Aerosol Climate Forcing in Clear-Sky Satellite Observations over the Oceans. , 1999, Science.

[42]  S. Derbyshire.  Boundary-Layer Decoupling over Cold Surfaces as a Physical Boundary-Instability , 1999 .

[43]  H. Kelder,et al.  An ozone climatology based on ozonesonde and satellite measurements , 1998 .

[44]  A. Macdonald.  The global ocean circulation: a hydrographic estimate and regional analysis , 1998 .

[45]  J. Wallace,et al.  The Arctic oscillation signature in the wintertime geopotential height and temperature fields , 1998 .

[46]  Kevin E. Trenberth,et al.  The Definition of El Niño. , 1997 .

[47]  P. Xie,et al.  Global Precipitation: A 17-Year Monthly Analysis Based on Gauge Observations, Satellite Estimates, and Numerical Model Outputs , 1997 .

[48]  B. Soden,et al.  Large-scale ice clouds in the GFDL SKYHI general circulation model , 1997 .

[49]  Leon D. Rotstayn,et al.  A physically based scheme for the treatment of stratiform clouds and precipitation in large‐scale models. I: Description and evaluation of the microphysical processes , 1997 .

[50]  Shian-Jiann Lin,et al.  A finite‐volume integration method for computing pressure gradient force in general vertical coordinates , 1997 .

[51]  D. Gregory,et al.  Parametrization of momentum transport by convection. II: Tests in single‐column and general circulation models , 1997 .

[52]  Fuzhong Weng,et al.  Cloud Liquid Water Climatology from the Special Sensor Microwave/Imager , 1997 .

[53]  Jeffrey L. Anderson,et al.  Simulation of Interannual Variability of Tropical Storm Frequency in an Ensemble of GCM Integrations. , 1997 .

[54]  K. Trenberth,et al.  Earth's annual global mean energy budget , 1997 .

[55]  C. Lindberg,et al.  Representation of topography in spectral climate models and its effect on simulated precipitation , 1996 .

[56]  G. Stephens,et al.  A new global water vapor dataset , 1996 .

[57]  A. Slingo,et al.  Studies with a flexible new radiation code. I: Choosing a configuration for a large-scale model , 1996 .

[58]  Jonathan P. Taylor,et al.  Studies with a flexible new radiation code. II: Comparisons with aircraft short‐wave observations , 1996 .

[59]  K. Miyakoda,et al.  Feasibility of Seasonal Forecasts Inferred from Multiple GCM Simulations , 1995 .

[60]  L. Bengtsson,et al.  Hurricane-type vortices in a general circulation model , 1995 .

[61]  P. Jones,et al.  Hemispheric Surface Air Temperature Variations: A Reanalysis and an Update to 1993. , 1994 .

[62]  V. Ramaswamy,et al.  Effect of changes in radiatively active species upon the lower stratospheric temperatures , 1994 .

[63]  Robert F. Cahalan,et al.  The albedo of fractal stratocumulus clouds , 1994 .

[64]  Shian-Jiann Lin,et al.  A Class of the van Leer-type Transport Schemes and Its Application to the Moisture Transport in a General Circulation Model , 1994 .

[65]  Isaac M. Held,et al.  Radiative-convective equilibrium with explicit two-dimensional moist convection , 1993 .

[66]  M. Tiedtke,et al.  Representation of Clouds in Large-Scale Models , 1993 .

[67]  Darren L. Jackson,et al.  A physical retrieval of cloud liquid water over the global oceans using special sensor microwave/imager (SSM/I) observations , 1993 .

[68]  N. Wood,et al.  The Pressure force induced by neutral, turbulent flow over hills , 1993 .

[69]  F. Bretherton,et al.  Upper tropospheric relative humidity from the GOES 6.7 μm channel: method and climatology for July 1987 , 1993 .

[70]  Q. Fu,et al.  Parameterization of the Radiative Properties of Cirrus Clouds , 1993 .

[71]  W. L. Darnell,et al.  A parameterization for longwave surface radiation from satellite data - Recent improvements , 1992 .

[72]  M. Iacono,et al.  Line-by-Line Calculations of Atmospheric Fluxes and Cooling Rates: Application to Water Vapor , 1992 .

[73]  S. Moorthi,et al.  Relaxed Arakawa-Schubert - A parameterization of moist convection for general circulation models , 1992 .

[74]  D. Hartmann,et al.  On the net radiative effectiveness of clouds , 1991 .

[75]  B. Barkstrom,et al.  Seasonal variation of cloud radiative forcing derived from the Earth Radiation Budget Experiment , 1990 .

[76]  Edwin F. Harrison,et al.  Earth Radiation Budget Experiment (ERBE) archival and April 1985 results , 1989 .

[77]  A. Slingo.  A GCM Parameterization for the Shortwave Radiative Properties of Water Clouds , 1989 .

[78]  R. Chervin,et al.  Global distribution of total cloud cover and cloud type amounts over the ocean , 1988 .

[79]  W. L. Darnell,et al.  Estimation of surface insolation using sun-synchronous satellite data , 1988 .

[80]  Slobodan Nickovic,et al.  The Step-Mountain Coordinate: Model Description and Performance for Cases of Alpine Lee Cyclogenesis and for a Case of an Appalachian Redevelopment , 1988 .

[81]  Ralph J. Slutz,et al.  A Comprehensive Ocean-Atmosphere Data Set , 1987 .

[82]  C. Ropelewski,et al.  Global and Regional Scale Precipitation Patterns Associated with the El Niño/Southern Oscillation , 1987 .

[83]  L. Jenne,et al.  Global distribution of total cloud cover and cloud type amounts over land , 1986 .

[84]  P. Woodward,et al.  The Piecewise Parabolic Method (PPM) for Gas Dynamical Simulations , 1984 .

[85]  E. Matthews.  Global Vegetation and Land Use: New High-Resolution Data Bases for Climate Studies , 1983 .

[86]  G. Mellor,et al.  Development of a turbulence closure model for geophysical fluid problems , 1982 .

[87]  A. Simmons,et al.  An Energy and Angular-Momentum Conserving Vertical Finite-Difference Scheme and Hybrid Vertical Coordinates , 1981 .

[88]  John M. Wallace,et al.  Planetary-Scale Atmospheric Phenomena Associated with the Southern Oscillation , 1981 .

[89]  A. Arakawa,et al.  Interaction of a Cumulus Cloud Ensemble with the Large-Scale Environment. Part II , 1980 .

[90]  J. Louis.  A parametric model of vertical eddy fluxes in the atmosphere , 1979 .

[91]  A. J. Gadd.  A split explicit integration scheme for numerical weather prediction , 1978 .

[92]  G. Tripoli,et al.  An Iterative Time Integration Scheme Designed to Preserve a Low-Frequency Wave , 1976 .

[93]  M. Budyko,et al.  Climate and life , 1975 .

[94]  A. Arakawa,et al.  Interaction of a Cumulus Cloud Ensemble with the Large-Scale Environment, Part I , 1974 .

[95]  P. R. Julian,et al.  Description of Global-Scale Circulation Cells in the Tropics with a 40–50 Day Period , 1972 .

[96]  Ralph Shapiro,et al.  Smoothing, filtering, and boundary effects , 1970 .

[97]  J. Gillis,et al.  Methods in Computational Physics , 1964 .

[98]  Ecmwf Newsletter,et al.  EUROPEAN CENTRE FOR MEDIUM-RANGE WEATHER FORECASTS , 2004 .

[99]  Duane E. Waliser,et al.  Potential Predictability of the Madden–Julian Oscillation , 2003 .

[100]  S. Garner.  A TOPOGRAPHIC DRAG CLOSURE WITH ANALYTICAL BASE FLUX , 2003 .

[101]  S. Moorthi,et al.  Documentation of version 2 of Relaxed Arakawa-Schubert cumulus paramerterization with convective downdrafts , 1999 .

[102]  S. M. Marlais,et al.  An Overview of the Results of the Atmospheric Model Intercomparison Project (AMIP I) , 1999 .

[103]  P. Jones,et al.  REPRESENTING TWENTIETH CENTURY SPACE-TIME CLIMATE VARIABILITY. , 1998 .

[104]  J. Janowiak,et al.  The Global Precipitation Climatology Project (GPCP) combined precipitation dataset , 1997 .

[105]  B. Wyman.  A Step-Mountain Coordinate General Circulation Model: Description and Validation of Medium-Range Forecasts , 1996 .

[106]  A. Beljaars.  The parametrization of surface fluxes in large-scale models under free convection , 1995 .

[107]  R. Wilson,et al.  Climatology of the SKYHI Troposphere–Stratosphere–Mesosphere General Circulation Model , 1995 .

[108]  L. Bengtsson,et al.  Hurricane-type vortices in a general circulation , 1995 .

[109]  A. Kitoh,et al.  The equatorial 30-60 day oscillation and the Arakawa-Schubert penetrative cumulus parameterization , 1988 .

[110]  C. J. Neumann.  Tropical cyclones of the North Atlantic Ocean, 1871-1986. , 1987 .

[111]  Stephen J. Lord,et al.  Interaction of a Cumulus Cloud Ensemble with the Large-Scale Environment. Part III: Semi-Prognostic Test of the Arakawa-Schubert Cumulus Parameterization , 1982 .

[112]  Akio Arakawa,et al.  Computational Design of the Basic Dynamical Processes of the UCLA General Circulation Model , 1977 .