Atmospheric component of the MPI‐M Earth System Model: ECHAM6

ECHAM6, the sixth generation of the atmospheric general circulation model ECHAM, is described. Major changes with respect to its predecessor affect the representation of shortwave radiative transfer, the height of the model top. Minor changes have been made to model tuning and convective triggering. Several model configurations, differing in horizontal and vertical resolution, are compared. As horizontal resolution is increased beyond T63, the simulated climate improves but changes are incremental; major biases appear to be limited by the parameterization of small‐scale physical processes, such as clouds and convection. Higher vertical resolution in the middle atmosphere leads to a systematic reduction in temperature biases in the upper troposphere, and a better representation of the middle atmosphere and its modes of variability. ECHAM6 represents the present climate as well as, or better than, its predecessor. The most marked improvements are evident in the circulation of the extratropics. ECHAM6 continues to have a good representation of tropical variability. A number of biases, however, remain. These include a poor representation of low‐level clouds, systematic shifts in major precipitation features, biases in the partitioning of precipitation between land and sea (particularly in the tropics), and midlatitude jets that appear to be insufficiently poleward. The response of ECHAM6 to increasing concentrations of greenhouse gases is similar to that of ECHAM5. The equilibrium climate sensitivity of the mixed‐resolution (T63L95) configuration is between 2.9 and 3.4 K and is somewhat larger for the 47 level model. Cloud feedbacks and adjustments contribute positively to warming from increasing greenhouse gases.

[1]  P. Cox,et al.  Evaluating the Land and Ocean Components of the Global Carbon Cycle in the CMIP5 Earth System Models , 2013 .

[2]  B. Stevens,et al.  The Madden-Julian Oscillation in ECHAM6 and the Introduction of an Objective MJO Metric , 2013 .

[3]  Chao Li,et al.  Deep-ocean heat uptake and equilibrium climate response , 2013, Climate Dynamics.

[4]  T. Andrews,et al.  An update on Earth's energy balance in light of the latest global observations , 2012 .

[5]  Stephen E. Schwartz,et al.  Observing and Modeling Earth’s Energy Flows , 2012, Surveys in Geophysics.

[6]  K. Taylor,et al.  Forcing, feedbacks and climate sensitivity in CMIP5 coupled atmosphere‐ocean climate models , 2012 .

[7]  B. Möbis,et al.  Factors controlling the position of the Intertropical Convergence Zone on an aquaplanet , 2012 .

[8]  Karl E. Taylor,et al.  An overview of CMIP5 and the experiment design , 2012 .

[9]  E. Roeckner,et al.  Impact of melt ponds on Arctic sea ice in past and future climates as simulated by MPI‐ESM , 2012 .

[10]  D. Klocke,et al.  Tuning the climate of a global model , 2012 .

[11]  C. Bretherton,et al.  Fast cloud adjustment to increasing CO2 in a superparameterized climate model , 2012 .

[12]  Veronika Eyring,et al.  Ozone database in support of CMIP5 simulations: results and corresponding radiative forcing , 2011 .

[13]  David M. Winker,et al.  Improvements of top-of-atmosphere and surface irradiance computations with CALIPSO-, CloudSat-, and MODIS-derived cloud and aerosol properties , 2011 .

[14]  E. Stehfest,et al.  Harmonization of land-use scenarios for the period 1500–2100: 600 years of global gridded annual land-use transitions, wood harvest, and resulting secondary lands , 2011 .

[15]  John M. Haynes,et al.  COSP: Satellite simulation software for model assessment , 2011 .

[16]  J. Thepaut,et al.  The ERA‐Interim reanalysis: configuration and performance of the data assimilation system , 2011 .

[17]  Heinrich Widmann,et al.  Climate and carbon-cycle variability over the last millennium , 2010 .

[18]  H. Treut,et al.  THE CALIPSO MISSION: A Global 3D View of Aerosols and Clouds , 2010 .

[19]  E. Gerber,et al.  Intermodel variability of the poleward shift of the austral jet stream in the CMIP3 integrations linked to biases in 20th century climatology , 2010 .

[20]  S. Bony,et al.  The GCM‐Oriented CALIPSO Cloud Product (CALIPSO‐GOCCP) , 2010 .

[21]  K. Trenberth,et al.  Simulation of Present-Day and Twenty-First-Century Energy Budgets of the Southern Oceans , 2010 .

[22]  B. Stevens,et al.  Untangling aerosol effects on clouds and precipitation in a buffered system , 2009, Nature.

[23]  Bin Wang,et al.  MJO Simulation Diagnostics , 2009 .

[24]  Victor Brovkin,et al.  Global biogeophysical interactions between forest and climate , 2009 .

[25]  J. Neelin,et al.  Evaluating the “Rich-Get-Richer” Mechanism in Tropical Precipitation Change under Global Warming , 2009 .

[26]  Thomas Raddatz,et al.  A reconstruction of global agricultural areas and land cover for the last millennium , 2008 .

[27]  S. Warren,et al.  Optical constants of ice from the ultraviolet to the microwave: A revised compilation , 2008 .

[28]  W. Collins,et al.  Radiative forcing by long‐lived greenhouse gases: Calculations with the AER radiative transfer models , 2008 .

[29]  M. Schultz,et al.  Trace gas and aerosol interactions in the fully coupled model of aerosol-chemistry-climate ECHAM5-HAMMOZ: 1. Model description and insights from the spring 2001 TRACE-P experiment , 2008 .

[30]  T. Reichler,et al.  How Well Do Coupled Models Simulate Today's Climate? , 2008 .

[31]  U. Lohmann,et al.  Cloud microphysics and aerosol indirect effects in the global climate model ECHAM5-HAM , 2007 .

[32]  Jens Kattge,et al.  Will the tropical land biosphere dominate the climate–carbon cycle feedback during the twenty-first century? , 2007 .

[33]  Lennart Bengtsson,et al.  How may tropical cyclones change in a warmer climate? , 2007 .

[34]  S. Solomon The Physical Science Basis : Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change , 2007 .

[35]  B. Soden,et al.  Robust Responses of the Hydrological Cycle to Global Warming , 2006 .

[36]  Lennart Bengtsson,et al.  Climatology and Forcing of the Quasi-Biennial Oscillation in the MAECHAM5 Model , 2006 .

[37]  T. Diehl,et al.  The HAMMONIA Chemistry Climate Model: Sensitivity of the Mesopause Region to the 11-Year Solar Cycle and CO2 Doubling , 2006 .

[38]  S. Bony,et al.  Comparing clouds and their seasonal variations in 10 atmospheric general circulation models with satellite measurements , 2005 .

[39]  S. Gualdi,et al.  The Madden–Julian oscillation in ECHAM4 coupled and uncoupled general circulation models , 2005 .

[40]  E. Roeckner,et al.  The influence of sea surface temperatures on the northern winter stratosphere : Ensemble simulations with the MAECHAM5 model , 2006 .

[41]  O. Boucher,et al.  The aerosol-climate model ECHAM5-HAM , 2004 .

[42]  J. Neelin,et al.  Mechanisms of global warming impacts on regional Tropical precipitation , 2004 .

[43]  K. Arpe,et al.  The intraseasonal oscillation in ECHAM4 Part I: coupled to a comprehensive ocean model , 2004 .

[44]  Jonathan M. Gregory,et al.  A new method for diagnosing radiative forcing and climate sensitivity , 2004 .

[45]  J. Janowiak,et al.  The Version 2 Global Precipitation Climatology Project (GPCP) Monthly Precipitation Analysis (1979-Present) , 2003 .

[46]  Luca Bonaventura,et al.  The atmospheric general circulation model ECHAM 5. PART I: Model description , 2003 .

[47]  Mojib Latif,et al.  The Max-Planck-Institute global ocean/sea ice model with orthogonal curvilinear coordinates , 2003 .

[48]  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 .

[49]  Stefan Hagemann,et al.  An improved land surface parameter dataset for global and regional climate models , 2002 .

[50]  C. Timmreck,et al.  Three-dimensional simulation of stratospheric background aerosol: First results of a multiannual general circulation model simulation , 2001 .

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

[52]  Mark Lawrence,et al.  On a fundamental problem in implementing flux‐form advection schemes for tracer transport in 3‐dimensional general circulation and chemistry transport models , 2001 .

[53]  K. Arpe,et al.  The Madden-Julian Oscillation in the ECHAM4 / OPYC3 CGCM , 2001 .

[54]  N. Ramankutty,et al.  Estimating historical changes in global land cover: Croplands from 1700 to 1992 , 1999 .

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

[56]  F. Lott Alleviation of Stationary Biases in a GCM through a Mountain Drag Parameterization Scheme and a Simple Representation of Mountain Lift Forces , 1999 .

[57]  Larry W. Thomason,et al.  Radiative forcing from the 1991 Mount Pinatubo volcanic eruption , 1998 .

[58]  N. McFarlane,et al.  Impact of the Doppler spread parameterization on the simulation of the middle atmosphere circulation using the MA/ECHAM4 general circulation model , 1997 .

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

[60]  C. O. Hines,et al.  Doppler-spread parameterization of gravity-wave momentum deposition in the middle atmosphere. Part 2: Broad and quasi monochromatic spectra, and implementation , 1997 .

[61]  C. Hines,et al.  Doppler-spread parameterization of gravity-wave momentum deposition in the middle atmosphere. Part 1: Basic formulation , 1997 .

[62]  Shian‐Jiann Lin,et al.  Multidimensional Flux-Form Semi-Lagrangian Transport Schemes , 1996 .

[63]  Ulrike Lohmann,et al.  Design and performance of a new cloud microphysics scheme developed for the ECHAM general circulation model , 1996 .

[64]  R. Sausen,et al.  Climate simulations with the global coupled atmosphere-ocean model ECHAM2/OPYC , 1996 .

[65]  R. Sausen,et al.  Climate simulations with the global coupled atmosphere-ocean model ECHAM2/OPYC Part I: present-day climate and ENSO events , 1996 .

[66]  M. Claussen,et al.  The atmospheric general circulation model ECHAM-4: Model description and simulation of present-day climate , 1996 .

[67]  E. Roeckner,et al.  Sensitivity of a general circulation model to parameterizations of cloud–turbulence interactions in the atmospheric boundary layer , 1995 .

[68]  L. Bengtsson,et al.  Stratospheric climate and variability from a general circulation model and observations , 1996 .

[69]  Klaus Hasselmann,et al.  Mean Circulation of the Hamburg LSG OGCM and Its Sensitivity to the Thermohaline Surface Forcing , 1993 .

[70]  J. Curry,et al.  A parameterization of ice cloud optical properties for climate models , 1992 .

[71]  Robert Sausen,et al.  Simulation of the present-day climate with the ECHAM model: Impact of model physics and resolution , 1992 .

[72]  Kuan-Man Xu,et al.  Evaluation of cloudiness parameterizations using a cumulus ensemble model , 1991 .

[73]  A. Simmons,et al.  The calculation of geopotential and the pressure gradient in the ECMWF atmospheric model: Influence on the simulation of the polar atmosphere and on temperature analyses , 1991 .

[74]  M. Tiedtke A Comprehensive Mass Flux Scheme for Cumulus Parameterization in Large-Scale Models , 1989 .

[75]  J. Kristjánsson,et al.  Condensation and Cloud Parameterization Studies with a Mesoscale Numerical Weather Prediction Model , 1989 .

[76]  A. Simmons,et al.  The ECMWF medium-range prediction models development of the numerical formulations and the impact of increased resolution , 1989 .

[77]  T. Palmer,et al.  Parametrization and influence of subgridscale orography in general circulation and numerical weather prediction models , 1989 .

[78]  T. Palmer,et al.  Alleviation of a systematic westerly bias in general circulation and numerical weather prediction models through an orographic gravity wave drag parametrization , 1986 .

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

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

[81]  G. M. Hale,et al.  Optical Constants of Water in the 200-nm to 200-microm Wavelength Region. , 1973, Applied optics.

[82]  J. Dave,et al.  Scattering of visible light by large water spheres. , 1969, Applied optics.