Do GCMs predict the climate ... or macroweather

Abstract. We are used to the weather–climate dichotomy, yet the great majority of the spectral variance of atmospheric fields is in the continuous "background" and this defines instead a trichotomy with a "macroweather" regime in the intermediate range from ≈10 days to 10–30 yr (≈100 yr in the preindustrial period). In the weather, macroweather and climate regimes, exponents characterize the type of variability over the entire regime and it is natural to identify them with qualitatively different synergies of nonlinear dynamical mechanisms that repeat scale after scale. Since climate models are essentially meteorological models (although with extra couplings) it is thus important to determine whether they currently model all three regimes. Using last millennium simulations from four GCMs (global circulation models), we show that control runs only reproduce macroweather. When various (reconstructed) climate forcings are included, in the recent (industrial) period they show global fluctuations strongly increasing at scales > ≈10–30 yr, which is quite close to the observations. However, in the preindustrial period we find that the multicentennial variabilities are too weak and by analysing the scale dependence of solar and volcanic forcings, we argue that these forcings are unlikely to be sufficiently strong to account for the multicentennial and longer-scale temperature variability. A likely explanation is that the models lack important slow "climate" processes such as land ice or various biogeochemical processes.

[1]  Crowley,et al.  Atmospheric science: Methane rises from wetlands , 2011, Nature.

[2]  Shaun Lovejoy,et al.  Haar wavelets, fluctuations and structure functions: convenient choices for geophysics , 2012 .

[3]  D. Schertzer,et al.  What Is Climate , 2013 .

[4]  M. Maqueda,et al.  Sensitivity of a global sea ice model to the treatment of ice thermodynamics and dynamics , 1997 .

[5]  Klaus Fraedrich,et al.  Continuum climate variability: long-term memory, scaling, and 1/F-noise , 2009 .

[6]  S. P. Harrison,et al.  Using paleo-climate comparisons to constrain future projections in CMIP5 , 2013 .

[7]  Eduardo Zorita,et al.  Reconstructing Past Climate from Noisy Data , 2004, Science.

[8]  Peter Huybers,et al.  Links between annual, Milankovitch and continuum temperature variability , 2005, Nature.

[9]  D. Schertzer,et al.  Physical modeling and analysis of rain and clouds by anisotropic scaling multiplicative processes , 1987 .

[10]  J. Kennedy,et al.  Improved Analyses of Changes and Uncertainties in Sea Surface Temperature Measured In Situ since the Mid-Nineteenth Century: The HadSST2 Dataset , 2006 .

[11]  Caspar M. Ammann,et al.  Climate forcing reconstructions for use in PMIP simulations of the last millennium (v1.0) , 2011 .

[12]  Hans von Storch,et al.  Long‐term memory in 1000‐year simulated temperature records , 2008 .

[13]  E. Maier‐Reimer,et al.  The Hamburg Ocean primitive equation model - HOPE , 1996 .

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

[15]  Christian L. E. Franzke,et al.  Long-Range Dependence and Climate Noise Characteristics of Antarctic Temperature Data , 2010 .

[16]  Michael Botzet,et al.  Ocean Circulation and Tropical Variability in the Coupled Model ECHAM5/MPI-OM , 2006 .

[17]  Klaus Fraedrich,et al.  Millennial climate variability: GCM‐simulation and Greenland ice cores , 2006 .

[18]  Shaun Lovejoy,et al.  Multifractal Cascade Dynamics and Turbulent Intermittency , 1997 .

[19]  P. Jones,et al.  The Twentieth Century Reanalysis Project , 2009 .

[20]  Shaun Lovejoy,et al.  Multifractal analysis of the Greenland Ice‐Core Project climate data , 1995 .

[21]  E. Rozanov,et al.  A new approach to the long-term reconstruction of the solar irradiance leads to large historical solar forcing , 2011, 1102.4763.

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

[23]  A. Timmermann,et al.  Using palaeo-climate comparisons to constrain future projections in CMIP5 , 2013 .

[24]  S. Bony,et al.  The LMDZ4 general circulation model: climate performance and sensitivity to parametrized physics with emphasis on tropical convection , 2006 .

[25]  K. Holmgren,et al.  Highly variable Northern Hemisphere temperatures reconstructed from low- and high-resolution proxy data , 2005, Nature.

[26]  A. Bunde,et al.  Trend evaluation in records with long‐term memory: Application to global warming , 2009 .

[27]  S. Raper,et al.  Simulated climate change during the last 1,000 years: comparing the ECHO-G general circulation model with the MAGICC simple climate model , 2006 .

[28]  A. Robock,et al.  Volcanic forcing of climate over the past 1500 years: An improved ice core-based index for climate models , 2006 .

[29]  P. Delecluse,et al.  OPA 8.1 Ocean General Circulation Model reference manual , 1998 .

[30]  Jörg Franke,et al.  Spectral biases in tree-ring climate proxies , 2013 .

[31]  C. Wunsch The spectral description of climate change including the 100 ky energy , 2003 .

[32]  C. Peng,et al.  Mosaic organization of DNA nucleotides. , 1994, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.

[33]  J. Whitaker,et al.  The Twentieth Century Reanalysis Project 3 , 2011 .

[34]  H. Stanley,et al.  Multifractal Detrended Fluctuation Analysis of Nonstationary Time Series , 2002, physics/0202070.

[35]  R. Blender,et al.  Variability regimes of simulated Atlantic MOC , 2006 .

[36]  V. Cuomo,et al.  Discriminating low frequency components from long range persistent fluctuations in daily atmospheric temperature variability , 2009 .

[37]  A Bunde,et al.  Power-law persistence and trends in the atmosphere: a detailed study of long temperature records. , 2003, Physical review. E, Statistical, nonlinear, and soft matter physics.

[38]  Shaopeng Huang Merging information from different resources for new insights into climate change in the past and future , 2004 .

[39]  J. Lean,et al.  Modeling the Sun’s Magnetic Field and Irradiance since 1713 , 2005 .

[40]  V. Canuto,et al.  Present-Day Atmospheric Simulations Using GISS ModelE: Comparison to In Situ, Satellite, and Reanalysis Data , 2006 .

[41]  S. Solanki,et al.  Models of solar irradiance variations: Current status , 2008 .

[42]  Judith Lean,et al.  Evolution of the Sun's Spectral Irradiance Since the Maunder Minimum , 2000 .

[43]  C. Fröhlich,et al.  Total solar irradiance during the Holocene , 2009 .

[44]  D. Schertzer,et al.  Stochastic and scaling climate sensitivities: Solar, volcanic and orbital forcings , 2012 .

[45]  Reid A. Bryson,et al.  The Paradigm of Climatology: An Essay , 1997 .

[46]  Hans von Storch,et al.  Long‐term persistence in climate and the detection problem , 2006 .

[47]  Shaun Lovejoy,et al.  Scaling fluctuation analysis and statistical hypothesis testing of anthropogenic warming , 2014, Climate Dynamics.

[48]  I. C. Prentice,et al.  A dynamic global vegetation model for studies of the coupled atmosphere‐biosphere system , 2005 .

[49]  Shaun Lovejoy,et al.  The Weather and Climate: Emergent Laws and Multifractal Cascades: The climate , 2013 .

[50]  Christian Franzke,et al.  Nonlinear Trends, Long-Range Dependence, and Climate Noise Properties of Surface Temperature , 2012 .

[51]  S. Solanki,et al.  Evolution of the solar irradiance during the Holocene , 2011, 1103.4958.

[52]  Klaus Fraedrich,et al.  Scaling of atmosphere and ocean temperature correlations in observations and climate models. , 2003, Physical review letters.

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

[54]  J. Pelletier The power spectral density of atmospheric temperature from time scales of 10−2 to 106 yr , 1998 .

[55]  Shaopeng Huang,et al.  Temperature trends over the past five centuries reconstructed from borehole temperatures , 2000, Nature.

[56]  Mark A. Cane,et al.  Volcanic and Solar Forcing of the Tropical Pacific over the Past 1000 Years , 2005 .

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

[58]  S. Solanki,et al.  Reconstruction of solar total irradiance since 1700 from the surface magnetic flux , 2007 .

[59]  H. L. Miller,et al.  Climate Change 2007: The Physical Science Basis , 2007 .

[60]  Shaun Lovejoy,et al.  Multifractals, Generalized Scale Invariance and Complexity in Geophysics , 2011, International Journal of Bifurcation and Chaos in Applied Sciences and Engineering.

[61]  Roberto A. Monetti,et al.  Long-term persistence in the sea surface temperature fluctuations , 2003 .

[62]  Shaun Lovejoy,et al.  The Weather and Climate: Emergent Laws and Multifractal Cascades , 2013 .

[63]  Shlomo Havlin,et al.  Volcanic forcing improves Atmosphere‐Ocean Coupled General Circulation Model scaling performance , 2004, physics/0401143.

[64]  F. Ljungqvist A new reconstruction of temperature variability in the extra‐tropical northern hemisphere during the last two millennia , 2010 .

[65]  Shaun Lovejoy,et al.  Towards a new synthesis for atmospheric dynamics: Space–time cascades , 2010 .

[66]  Michael Botzet,et al.  Effects of Ocean Biology on the Penetrative Radiation in a Coupled Climate Model , 2006 .

[67]  J. Pongratz,et al.  Climate forcing reconstructions for use in PMIP simulations of the last millennium (v1.0) , 2011 .

[68]  Shaun Lovejoy,et al.  Low‐Frequency Weather and the Emergence of the Climate , 2013 .

[69]  T. Crowley,et al.  Volcanism and the Little Ice Age , 2008 .