Exploring Perturbed Physics Ensembles in a Regional Climate Model

AbstractPerturbed physics ensembles (PPEs) have been widely used to assess climate model uncertainties and have provided new estimates of climate sensitivity and parametric uncertainty in state-of-the-art climate models. So far, mainly global climate models were used to generate PPEs, and little work has been conducted with regional climate models. This paper discusses the parameter uncertainty in two PPEs of a regional climate model driven by reanalysis data for the present climate over Europe. The uncertainty is evaluated for the variables of 2-m temperature, precipitation, and total cloud cover, with a focus on the annual cycle, interannual variability, and selected extremes.The authors show that the simulated spread of the PPEs encompasses the observations at a regional scale in terms of the annual cycle and the interannual variability, provided observational uncertainty is taken into account. To rank the PPEs a new skill metric is proposed, which takes into account observational uncertainty and natur...

[1]  Sonia I. Seneviratne,et al.  Observational evidence for soil-moisture impact on hot extremes in southeastern Europe , 2011 .

[2]  Ramón de Elía,et al.  Internal Variability in Regional Climate Downscaling at the Seasonal Scale , 2007 .

[3]  F. Giorgi,et al.  Calculation of average, uncertainty range, and reliability of regional climate changes from AOGCM simulations via the reliability ensemble averaging (REA) method , 2002 .

[4]  Zhiwei Yang,et al.  Tests of a Perturbed Physics Ensemble Approach for Regional Climate Modeling , 2002 .

[5]  D. Lüthi,et al.  The role of increasing temperature variability in European summer heatwaves , 2004, Nature.

[6]  Geert Lenderink,et al.  Exploring metrics of extreme daily precipitation in a large ensemble of regional climate model simulations , 2010 .

[7]  Jonathan Rougier,et al.  Analyzing the Climate Sensitivity of the HadSM3 Climate Model Using Ensembles from Different but Related Experiments , 2009 .

[8]  Reto Knutti,et al.  Challenges in Combining Projections from Multiple Climate Models , 2010 .

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

[10]  E. Fischer,et al.  Soil Moisture–Atmosphere Interactions during the 2003 European Summer Heat Wave , 2007 .

[11]  D. Lüthi,et al.  The Soil-Precipitation Feedback: A Process Study with a Regional Climate Model , 1999 .

[12]  Jouni Räisänen,et al.  Weighting of model results for improving best estimates of climate change , 2010 .

[13]  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 .

[14]  S. Seneviratne,et al.  COSMO-CLM2: a new version of the COSMO-CLM model coupled to the Community Land Model , 2011 .

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

[16]  H. Storch,et al.  Statistical Analysis in Climate Research , 2000 .

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

[18]  D. Jackson,et al.  Trends in Global Cloud Cover in Two Decades of HIRS Observations , 2005 .

[19]  Kevin E. Trenberth,et al.  Conceptual Framework for Changes of Extremes of the Hydrological Cycle with Climate Change , 1999 .

[20]  Hans-Jürgen Panitz,et al.  High-resolution sensitivity studies with the regional climate model COSMO-CLM , 2009 .

[21]  R. Healy,et al.  Quantifying the sensitivity of simulated climate change to model configuration , 2009 .

[22]  F. Giorgi,et al.  An intercomparison of regional climate simulations for Europe: assessing uncertainties in model projections , 2007 .

[23]  G. Meehl,et al.  Constraining Climate Sensitivity from the Seasonal Cycle in Surface Temperature , 2006 .

[24]  J. Christensen,et al.  A summary of the PRUDENCE model projections of changes in European climate by the end of this century , 2007 .

[25]  Andrei P. Sokolov,et al.  Quantifying Uncertainties in Climate System Properties with the Use of Recent Climate Observations , 2002, Science.

[26]  D. Lüthi,et al.  Implementation and evaluation of aerosol and cloud microphysics in a regional climate model , 2011 .

[27]  Jonathan Rougier,et al.  Probabilistic Inference for Future Climate Using an Ensemble of Climate Model Evaluations , 2007 .

[28]  T. D. Mitchell,et al.  An improved method of constructing a database of monthly climate observations and associated high‐resolution grids , 2005 .

[29]  Matthew D. Collins,et al.  UK Climate Projections Science Report: Climate Change Projections , 2009 .

[30]  Richard L. Smith,et al.  Quantifying Uncertainty in Projections of Regional Climate Change: A Bayesian Approach to the Analysis of Multimodel Ensembles , 2005 .

[31]  Reto Knutti,et al.  Constraints on radiative forcing and future climate change from observations and climate model ensembles , 2002, Nature.

[32]  J. Steppeler,et al.  Meso-gamma scale forecasts using the nonhydrostatic model LM , 2003 .

[33]  A. OHagan,et al.  Bayesian analysis of computer code outputs: A tutorial , 2006, Reliab. Eng. Syst. Saf..

[34]  John F. B. Mitchell,et al.  THE WCRP CMIP3 Multimodel Dataset: A New Era in Climate Change Research , 2007 .

[35]  A. Bott.  A positive definite advection scheme obtained by nonlinear renormalization of the advective fluxes , 1989 .

[36]  Benjamin M. Sanderson,et al.  A Multimodel Study of Parametric Uncertainty in Predictions of Climate Response to Rising Greenhouse Gas Concentrations , 2011 .

[37]  F. Giorgi,et al.  The Effects of Domain Choice on Summer Precipitation Simulation and Sensitivity in a Regional Climate Model , 1998 .

[38]  Louis J. Wicker,et al.  Time-Splitting Methods for Elastic Models Using Forward Time Schemes , 2002 .

[39]  Hans von Storch,et al.  Dynamical downscaling: Assessment of model system dependent retained and added variability for two different regional climate models , 2008 .

[40]  Jesper Heile Christensen,et al.  Daily precipitation statistics in regional climate models: Evaluation and intercomparison for the European Alps , 2003 .

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

[42]  A. Simmons,et al.  The ECMWF operational implementation of four‐dimensional variational assimilation. I: Experimental results with simplified physics , 2007 .

[43]  F. Giorgi.  Simulation of Regional Climate Using a Limited Area Model Nested in a General Circulation Model , 1990 .

[44]  C. Frei,et al.  Future change of precipitation extremes in Europe: Intercomparison of scenarios from regional climate models , 2006 .

[45]  E. Fischer,et al.  Consistent geographical patterns of changes in high-impact European heatwaves , 2010 .

[46]  M. Webb,et al.  Quantification of modelling uncertainties in a large ensemble of climate change simulations , 2004, Nature.

[47]  B. Ritter,et al.  A comprehensive radiation scheme for numerical weather prediction models with potential applications in climate simulations , 1992 .

[48]  C. Schär,et al.  Towards climate simulations at cloud-resolving scales , 2008 .

[49]  Reto Knutti,et al.  Risks of Model Weighting in Multimodel Climate Projections , 2010 .

[50]  P. Jones,et al.  A European daily high-resolution gridded data set of surface temperature and precipitation for 1950-2006 , 2008 .

[51]  D. Lüthi,et al.  European summer climate variability in a heterogeneous multi-model ensemble , 2007 .

[52]  H. Künsch,et al.  Bayesian multi-model projection of climate: bias assumptions and interannual variability , 2009 .

[53]  D. Jacob,et al.  Error characteristics of high resolution regional climate models over the Alpine area , 2011 .

[54]  Robert Pincus,et al.  On Constraining Estimates of Climate Sensitivity with Present-Day Observations through Model Weighting , 2011 .

[55]  Tim N. Palmer,et al.  Using numerical weather prediction to assess climate models , 2007 .

[56]  F. Giorgi,et al.  Weight assignment in regional climate models , 2010 .

[57]  J. Klemp,et al.  The Simulation of Three-Dimensional Convective Storm Dynamics , 1978 .

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

[59]  Jeremy S. Pal,et al.  Mean, interannual variability and trends in a regional climate change experiment over Europe. II: climate change scenarios (2071–2100) , 2004 .

[60]  James C McWilliams,et al.  Considerations for parameter optimization and sensitivity in climate models , 2010, Proceedings of the National Academy of Sciences.

[61]  Mark New,et al.  Testing E-OBS European high-resolution gridded data set of daily precipitation and surface temperature , 2009 .

[62]  D. Durran.  Numerical methods for wave equations in geophysical fluid dynamics , 1999 .

[63]  A. H. Murphy,et al.  Skill Scores Based on the Mean Square Error and Their Relationships to the Correlation Coefficient , 1988 .