The BRIDGE HadCM 3 family of climate models : HadCM 3 @ Bristol v 1 . 0

Understanding natural and anthropogenic climate change processes involves using computational models that represent the main components of the Earth system: the atmosphere, ocean, sea ice, and land surface. These models have become increasingly computationally expensive as resolution is increased and more complex process representations are included. However, to gain robust insight into how climate may respond to a given forcing, and to meaningfully quantify the associated uncertainty, it is often required to use either or both ensemble approaches and very long integrations. For this reason, more computationally efficient models can be very valuable tools. Here we provide a comprehensive overview of the suite of climate models based around the HadCM3 coupled general circulation model. This model was developed at the UK Met Office and has been heavily used during the last 15 years for a range of future (and past) climate change studies, but has now been largely superseded for many scientific studies by more recently developed models. However, it continues to be extensively used by various institutions, including the BRIDGE (Bristol Research Initiative for the Dynamic Global Environment) research group at the University of Bristol, who have made modest adaptations to the base HadCM3 model over time. These adaptations mean that the original documentation is not entirely representative, and several other relatively undocumented configurations are in use. We therefore describe the key features of a number of configurations of the HadCM3 climate model family, which together make up HadCM3@Bristol version 1.0. In order to differentiate variants that have undergone development at BRIDGE, we have introduced the letter B into the model nomenclature. We include descriptions of the atmosphere-only model (HadAM3B), the coupled model with a low-resolution ocean (HadCM3BL), the high-resolution atmosphere-only model (HadAM3BH), and the regional model (HadRM3B). These also include three versions of the land surface scheme. By comparing with Published by Copernicus Publications on behalf of the European Geosciences Union. 3716 P. J. Valdes et al.: HadCM3@Bristol v1.0 observational datasets, we show that these models produce a good representation of many aspects of the climate system, including the land and sea surface temperatures, precipitation, ocean circulation, and vegetation. This evaluation, combined with the relatively fast computational speed (up to 1000 times faster than some CMIP6 models), motivates continued development and scientific use of the HadCM3B family of coupled climate models, predominantly for quantifying uncertainty and for long multi-millennial-scale simulations.

[1]  Richard G. Jones,et al.  Human influence on climate in the 2014 southern England winter floods and their impacts , 2016 .

[2]  Paul J. Valdes,et al.  Green Mountains and White Plains: The Effect of Northern Hemisphere Ice Sheets on the Global Energy Budget , 2016 .

[3]  J. Singarayer,et al.  The Role of CO2 and Dynamic Vegetation on the Impact of Temperate Land-Use Change in the HadCM3 Coupled Climate Model , 2016 .

[4]  Bengamin I. Moat,et al.  Atlantic meridional overturning circulation observed by the RAPID-MOCHA-WBTS (RAPID-Meridional Overturning Circulation and Heatflux Array-Western Boundary Time Series) array at 26N from 2004 to 2015 , 2016 .

[5]  P. Valdes,et al.  The Role of CO 2 and Dynamic Vegetation on the Impact of Temperate Land-Use Change in the HadCM3 Coupled Climate Model , 2016 .

[6]  Norman G. Loeb,et al.  Observational constraints on atmospheric and oceanic cross-equatorial heat transports: revisiting the precipitation asymmetry problem in climate models , 2015, Climate Dynamics.

[7]  Daniel J. Lunt,et al.  Palaeogeographic controls on climate and proxy interpretation , 2015 .

[8]  Veronika Eyring,et al.  Overview of the Coupled Model Intercomparison Project Phase 6 (CMIP6) experimental design and organization , 2015 .

[9]  D. Lunt,et al.  Atmospheric and oceanic impacts of Antarctic glaciation across the Eocene–Oligocene transition , 2015, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.

[10]  Rachel Flecker,et al.  Orbital control on late Miocene climate and the North African monsoon: Insight from an ensemble of sub-precessional simulations , 2015 .

[11]  Simon Read,et al.  ESMValTool (v1.0) – a community diagnostic and performance metrics tool for routine evaluation of Earth system models in CMIP , 2015 .

[12]  D. N. Walters,et al.  The Met Office Global Coupled model 2.0 (GC2) configuration , 2015 .

[13]  Steven J. Pickering,et al.  Modelling the enigmatic Late Pliocene Glacial Event — Marine Isotope Stage M2 , 2015 .

[14]  Stuart A. Cunningham,et al.  The North Atlantic subpolar circulation in an eddy-resolving global ocean model , 2015 .

[15]  Rachel Flecker,et al.  Disentangling the roles of late Miocene palaeogeography and vegetation – Implications for climate sensitivity , 2015 .

[16]  P. Valdes,et al.  Topography's crucial role in Heinrich Events , 2014, Proceedings of the National Academy of Sciences.

[17]  C. Jones,et al.  Sensitivity of a coupled climate model to canopy interception capacity , 2014, Climate Dynamics.

[18]  Zhengyu Liu,et al.  Why is the AMOC Monostable in Coupled General Circulation Models , 2014 .

[19]  Paul J. Valdes,et al.  Numerical simulations of oceanic oxygen cycling in the FAMOUS Earth-System model : FAMOUS-ES , version 1 . 0 , 2014 .

[20]  Paul Berrisford,et al.  The role of horizontal resolution in simulating drivers of the global hydrological cycle , 2014, Climate Dynamics.

[21]  Kevin E. Trenberth,et al.  An apparent hiatus in global warming? , 2013 .

[22]  W. Collins,et al.  Evaluation of climate models , 2013 .

[23]  C. D. Roberts,et al.  A Multimodel Study of Sea Surface Temperature and Subsurface Density Fingerprints of the Atlantic Meridional Overturning Circulation , 2013 .

[24]  Liping Zhang,et al.  Multidecadal North Atlantic sea surface temperature and Atlantic meridional overturning circulation variability in CMIP5 historical simulations , 2013 .

[25]  Paul J. Valdes,et al.  The Greenland Ice Sheet's surface mass balance in a seasonally sea ice‐free Arctic , 2013 .

[26]  Daniel J. Lunt,et al.  Investigating vegetation–climate feedbacks during the early Eocene , 2013 .

[27]  Paul J. Valdes,et al.  Limited response of peatland CH 4 emissions to abrupt Atlantic Ocean circulation changes in glacial climates , 2013 .

[28]  William E. Johns,et al.  The atlantic meridional heat transport at 26.5°N and its relationship with the MOC in the RAPID array and the GFDL and NCAR coupled models , 2013 .

[29]  Michael Vellinga,et al.  Multidecadal to Centennial Variability of the AMOC: HadCM3 and a Perturbed Physics Ensemble , 2013 .

[30]  C. J. Morcrette,et al.  The Met Office Unified Model Global Atmosphere 4 . 0 and JULES Global Land 4 . 0 configurations , 2013 .

[31]  Kaoru Tachiiri,et al.  Stability of the Atlantic meridional overturning circulation: A model intercomparison , 2012 .

[32]  William E. Johns,et al.  Observed interannual variability of the Atlantic meridional overturning circulation at 26.5°N , 2012 .

[33]  Jonathan M. Gregory,et al.  Modelling large-scale ice-sheet-climate interactions following glacial inception , 2012 .

[34]  Annette Osprey,et al.  Optimising the FAMOUS climate model: inclusion of global carbon cycling , 2012 .

[35]  Daniel J. Lunt,et al.  Mid-Pliocene Climate Modelled Using the UK Hadley Centre Model: PlioMIP Experiments 1 and 2 , 2012 .

[36]  R. Betts,et al.  High sensitivity of future global warming to land carbon cycle processes , 2012 .

[37]  John W. Day,et al.  The impact of a seasonally ice free Arctic Ocean on the temperature, precipitation and surface mass balance of Svalbard , 2012 .

[38]  W. Sijp,et al.  Characterising meridional overturning bistability using a minimal set of state variables , 2012, Climate Dynamics.

[39]  C. Jones,et al.  Development and evaluation of an Earth-System model - HadGEM2 , 2011 .

[40]  Robin S. Smith,et al.  The FAMOUS climate model (versions XFXWB and XFHCC): description update to version XDBUA , 2011 .

[41]  C. Jones,et al.  The HadGEM2 family of Met Office Unified Model climate configurations , 2011 .

[42]  P. Cox,et al.  The Joint UK Land Environment Simulator (JULES), model description – Part 2: Carbon fluxes and vegetation dynamics , 2011 .

[43]  P. Cox,et al.  The Joint UK Land Environment Simulator (JULES), model description – Part 1: Energy and water fluxes , 2011 .

[44]  Neil R. Edwards,et al.  High frequency variability of the Atlantic meridional overturning circulation , 2011 .

[45]  P. Valdes,et al.  Enhanced chemistry-climate feedbacks in past greenhouse worlds , 2011, Proceedings of the National Academy of Sciences.

[46]  Ed Hawkins,et al.  Bistability of the Atlantic overturning circulation in a global climate model and links to ocean freshwater transport , 2011 .

[47]  Adam A. Scaife,et al.  Skilful multi-year predictions of Atlantic hurricane frequency , 2010 .

[48]  Benoît Tartinville,et al.  Description of the Earth system model of intermediate complexity LOVECLIM version 1.2 , 2010 .

[49]  Andy Ridgwell,et al.  Assessing the regional disparities in geoengineering impacts , 2010 .

[50]  Paul J. Valdes,et al.  High-latitude climate sensitivity to ice-sheet forcing over the last 120 kyr , 2010 .

[51]  O. Browne Modelling large-scale ice-sheet–climate interactions at the last glacial inception , 2010 .

[52]  L. Aragão,et al.  Exploring the likelihood and mechanism of a climate-change-induced dieback of the Amazon rainforest , 2009, Proceedings of the National Academy of Sciences.

[53]  Andy Ridgwell,et al.  Assessing the benefits of crop albedo bio-geoengineering , 2009 .

[54]  Hartmut Peters,et al.  Improving Oceanic Overflow Representation in Climate Models: The Gravity Current Entrainment Climate Process Team , 2009 .

[55]  Paul J. Valdes,et al.  Tackling Regional Climate Change By Leaf Albedo Bio-geoengineering , 2009, Current Biology.

[56]  Annette Osprey,et al.  A description of the FAMOUS (version XDBUA) climate model and control run , 2008 .

[57]  I. C. Prentice,et al.  Evaluation of the terrestrial carbon cycle, future plant geography and climate‐carbon cycle feedbacks using five Dynamic Global Vegetation Models (DGVMs) , 2008 .

[58]  Paul J. Valdes,et al.  “Sunshade World”: A fully coupled GCM evaluation of the climatic impacts of geoengineering , 2008 .

[59]  Matthew D. Collins,et al.  The variation of ENSO characteristics associated with atmospheric parameter perturbations in a coupled model , 2008 .

[60]  Charles Doutriaux,et al.  Performance metrics for climate models , 2008 .

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

[62]  J. Murphy,et al.  A methodology for probabilistic predictions of regional climate change from perturbed physics ensembles , 2007, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.

[63]  Stephen Cusack,et al.  Improved Surface Temperature Prediction for the Coming Decade from a Global Climate Model , 2007, Science.

[64]  Yan Zhao,et al.  Results of PMIP2 coupled simulations of the Mid-Holocene and Last Glacial Maximum - Part 1: experiments and large-scale features , 2007 .

[65]  Rowan Sutton,et al.  El Niño in a Coupled Climate Model: Sensitivity to Changes in Mean State Induced by Heat Flux and Wind Stress Corrections , 2007 .

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

[67]  Stefano Schiavon,et al.  Climate Change 2007: The Physical Science Basis. , 2007 .

[68]  Paul J. Valdes,et al.  Dynamics of a global-scale vegetation model , 2006 .

[69]  Jonathan M. Gregory,et al.  The impact of natural and anthropogenic forcings on climate and hydrology since 1550 , 2006 .

[70]  Eric F. Wood,et al.  Correction of Global Precipitation Products for Orographic Effects , 2006 .

[71]  Jonathan M. Gregory,et al.  Elimination of the Greenland ice sheet in a high-CO2 climate , 2005 .

[72]  James M. Murphy,et al.  Systematic optimisation and climate simulation of FAMOUS, a fast version of HadCM3 , 2005 .

[73]  Leonard A. Smith,et al.  Uncertainty in predictions of the climate response to rising levels of greenhouse gases , 2005, Nature.

[74]  Paul J. Valdes,et al.  The ice age methane budget , 2005 .

[75]  Paul J. Valdes,et al.  Cretaceous (Wealden) climates: a modelling perspective , 2004 .

[76]  R. Betts,et al.  The role of ecosystem-atmosphere interactions in simulated Amazonian precipitation decrease and forest dieback under global climate warming , 2004 .

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

[78]  Chris T. Jones A Fast Ocean GCM without Flux Adjustments , 2003 .

[79]  Nigel W. Arnell,et al.  Climate change scenarios from a regional climate model: Estimating change in runoff in southern Africa , 2003 .

[80]  Richard Essery,et al.  Explicit representation of subgrid heterogeneity in a GCM land surface scheme , 2003 .

[81]  Jonathan M. Gregory,et al.  Freshwater transports in HadCM3 , 2003 .

[82]  John F. B. Mitchell,et al.  Anthropogenic climate change for 1860 to 2100 simulated with the HadCM3 model under updated emissions scenarios , 2003 .

[83]  M. Hulme,et al.  A high-resolution data set of surface climate over global land areas , 2002 .

[84]  P. Stott,et al.  Origins and estimates of uncertainty in predictions of twenty-first century temperature rise , 2002, Nature.

[85]  Frank Lunkeit,et al.  Earth system models of intermediate complexity: closing the gap in the spectrum of climate system models , 2002 .

[86]  Anthony J. Broccoli,et al.  A coupled model study of the Last Glacial Maximum: Was part of the North Atlantic relatively warm? , 2001 .

[87]  J. Gregory,et al.  A comparison of extreme European daily precipitation simulated by a global and a regional climate model for present and future climates , 2001 .

[88]  Peter M. Cox,et al.  Description of the "TRIFFID" Dynamic Global Vegetation Model , 2001 .

[89]  M. Collins,et al.  The internal climate variability of HadCM3, a version of the Hadley Centre coupled model without flux adjustments , 2001 .

[90]  P. Stott,et al.  External control of 20th century temperature by natural and anthropogenic forcings. , 2000, Science.

[91]  R. Betts,et al.  Acceleration of global warming due to carbon-cycle feedbacks in a coupled climate model , 2000, Nature.

[92]  Yuri M. Svirezhev,et al.  Thermodynamics and ecology , 2000 .

[93]  John F. B. Mitchell,et al.  The simulation of SST, sea ice extents and ocean heat transports in a version of the Hadley Centre coupled model without flux adjustments , 2000 .

[94]  V. Pope,et al.  The impact of new physical parametrizations in the Hadley Centre climate model: HadAM3 , 2000 .

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

[96]  R. Betts,et al.  The impact of new land surface physics on the GCM simulation of climate and climate sensitivity , 1999 .

[97]  Richard Harding,et al.  A canopy conductance and photosynthesis model for use in a GCM land surface scheme , 1998 .

[98]  Martin Wild,et al.  The radiative impact of a simple aerosol climatology on the Hadley Centre atmospheric GCM , 1998 .

[99]  John K. Dukowicz,et al.  Isoneutral Diffusion in a z-Coordinate Ocean Model , 1998 .

[100]  G. J. Shutts,et al.  A new gravity‐wave‐drag scheme incorporating anisotropic orography and low‐level wave breaking: Impact upon the climate of the UK Meteorological Office Unified Model , 1998 .

[101]  A. Belward,et al.  The IGBP-DIS global 1km land cover data set, DISCover: First results , 1997 .

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

[103]  M. Spall,et al.  Specification of eddy transfer coefficients in coarse resolution ocean circulation models , 1997 .

[104]  Thomas R. Loveland,et al.  The IGBP-DIS global 1 km land cover data set , 1997 .

[105]  Richard G. Jones,et al.  Simulations of the Indian summer monsoon using a nested regional climate model: domain size experiments , 1996 .

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

[107]  Richard G. Jones,et al.  Simulation of climate change over europe using a nested regional‐climate model. I: Assessment of control climate, including sensitivity to location of lateral boundaries , 1995 .

[108]  A. White,et al.  Dynamically consistent, quasi-hydrostatic equations for global models with a complete representation of the Coriolis force , 1995 .

[109]  W. Large,et al.  Oceanic vertical mixing: a review and a model with a nonlocal boundary layer parameterization , 1994 .

[110]  P. Gent,et al.  Isopycnal mixing in ocean circulation models , 1990 .

[111]  Yale Mintz,et al.  Climatology of the terrestrial seasonal water cycle , 1985 .

[112]  A. Henderson‐sellers,et al.  A global archive of land cover and soils data for use in general circulation climate models , 1985 .

[113]  M. Cox A primitive equation, 3-dimensional model of the ocean , 1984 .

[114]  Adrian Simmons,et al.  Numerical forecasts of stratospheric warming events using a model with a hybrid vertical coordinate , 1983 .

[115]  M. Redi Oceanic Isopycnal Mixing by Coordinate Rotation , 1982 .

[116]  R. Pacanowski,et al.  Parameterization of Vertical Mixing in Numerical Models of Tropical Oceans , 1981 .

[117]  W. Hibler A Dynamic Thermodynamic Sea Ice Model , 1979 .

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

[119]  K. Bryan,et al.  An Approximate Equation of State for Numerical Models of Ocean Circulation , 1972 .

[120]  J. Turner,et al.  A one‐dimensional model of the seasonal thermocline II. The general theory and its consequences , 1967 .

[121]  R. H. Brooks,et al.  Hydraulic properties of porous media , 1963 .

[122]  The Meteorological Office , 1940, Nature.