A GCM Simulation of Heat Waves, Dry Spells, and Their Relationships to Circulation

Heat waves and dry spells are analyzed (i) at eightstations in south Moravia (Czech Republic), (ii) inthe control ECHAM3 GCM run at the gridpoint closest tothe study area, and (iii) in the ECHAM3 GCM run fordoubled CO2 concentrations (scenario A) at thesame gridpoint (heat waves only). The GCM outputs arevalidated both against individual station data andareally representative values. In the control run, theheat waves are too long, appear later in the year,peak at higher temperatures and their numbers areunder- (over-) estimated in June and July (in August).The simulated dry spells are too long, and the annualcycle of their occurrence is distorted.Mid-tropospheric circulation, and heat waves and dryspells are linked much less tightly in the controlclimate than in the observed. Since mid-troposphericcirculation is simulated fairly successfully, wesuggest the hypothesis that either the air-masstransformation and local processes are too strong inthe model or the simulated advection is too weak. Inthe scenario A climate, the heat waves become a commonphenomenon: warming of 4.5 °C in summer(difference between scenario A and control climates)induces a five-fold increase in the frequency oftropical days and an immense enhancement of extremityof heat waves. The results of the study underline theneed for (i) a proper validation of the GCM outputbefore a climate impact study is conducted and (ii)translation of large-scale information from GCMs intolocal scales using downscaling and stochasticmodelling techniques in order to reduce GCMs' biases.

[1]  W. Thatcher.  Effects of Season, Climate, and Temperature on Reproduction and Lactation , 1974 .

[2]  N. Lau,et al.  Regional Characteristics of the Northern Hemisphere Wintertime Circulation: A Comparison of the Simulation of a GFDL General Circulation Model with Observations , 1980 .

[3]  J. W. Fuquay.  Heat stress as it affects animal production. , 1981, Journal of animal science.

[4]  R. Foote,et al.  Effect of season and high environmental temperature on fertility of Holstein cattle. , 1985, Journal of dairy science.

[5]  D. Reed.  Simulation of time series of temperature and precipitation over Eastern England by an atmospheric general circulation model , 1986 .

[6]  H. Storch.  Inconsistencies at the interface of climate impact studies and global climate research , 1992 .

[7]  R. Katz,et al.  Extreme events in a changing climate: Variability is more important than averages , 1992 .

[8]  Comparison of General Circulation Model and Observed Regional Climates: Daily and Seasonal Variability , 1992 .

[9]  Jackknife Tests for Differences in Autocorrelation between Climate Time Series , 1993 .

[10]  J. Mackenbach,et al.  Outdoor air temperature and mortality in The Netherlands: a time-series analysis. , 1993, American journal of epidemiology.

[11]  Comparisons of modelled and observed climate for impact assessments , 1993 .

[12]  M. Hulme,et al.  Evaluating climate model simulations of precipitation: methods, problems and performance , 1995 .

[13]  Linda O. Mearns,et al.  Analysis of daily variability of precipitation in a nested regional climate model: comparison with observations and doubled CO2 results , 1995 .

[14]  K. Hennessy,et al.  Greenhouse warming and threshold temperature events in Victoria, Australia , 1995 .

[15]  C. Rosenzweig,et al.  Agriculture in a changing climate: impacts and adaptation , 1996 .

[16]  S. Mason,et al.  DROUGHTS OVER SOUTHERN AFRICA IN A DOUBLED‐CO2 CLIMATE , 1996 .

[17]  Mark Rounsevell,et al.  Ecophysiological, ecological, and soil processes in terrestrial ecosystems: a primer on general concepts and relationships , 1996 .

[18]  Beth C. Reinke,et al.  Impacts and Responses to the 1995 Heat Wave: A Call to Action , 1996 .

[19]  P. Stone,et al.  A Case Study of the Adequacy of GCM Simulations for Input to Regional Climate Change Assessments. , 1996 .

[20]  Ann Henderson-Sellers,et al.  GRID BOX OR GRID POINT: WHAT TYPE OF DATA DO GCMs DELIVER TO CLIMATE IMPACTS RESEARCHERS? , 1996 .

[21]  M. Semenov,et al.  USE OF A STOCHASTIC WEATHER GENERATOR IN THE DEVELOPMENT OF CLIMATE CHANGE SCENARIOS , 1997 .

[22]  J. Kalvová,et al.  On the Validity of ECHAM-Simulated Daily Extreme Temperatures , 1997 .

[23]  Radan Huth,et al.  Potential of continental-scale circulation for the determination of local daily surface variables , 1997 .

[24]  J. Gregory,et al.  Summer Drought in Northern Midlatitudes in a Time-Dependent CO2 Climate Experiment , 1997 .

[25]  Joel B. Smith,et al.  REGIONAL CLIMATE CHANGE SCENARIOS FOR VULNERABILITY AND ADAPTATION ASSESSMENTS , 1997 .

[26]  The Simulation of Daily Temperature Time Series from GCM Output. Part I: Comparison of Model Data with Observations , 1997 .

[27]  Thomas R. Karl,et al.  The 1995 Chicago Heat Wave: How Likely Is a Recurrence? , 1997 .

[28]  John F. B. Mitchell,et al.  Changes in daily precipitation under enhanced greenhouse conditions , 1997 .

[29]  J. Kalvová,et al.  PROJECTIONS OF CLIMATE CHANGE FOR THE CZECH REPUBLIC , 1997 .

[30]  M. Dubrovský.  Creating daily weather series with use of the weather generator , 1997 .

[31]  S. Mason,et al.  SIMULATED CHANGES IN EXTREME RAINFALL OVER SOUTHERN AFRICA , 1997 .

[32]  R. Huth.  Continental-Scale Circulation in the UKHI GCM , 1997 .

[33]  Jaroslava Kalvová,et al.  Estimating Autocorrelations of Daily Extreme Temperatures in Observed and Simulated Climates , 1998 .

[34]  S. Schubert.  Downscaling local extreme temperature changes in south-eastern Australia from the CSIRO Mark2 GCM , 1998 .

[35]  M. Hulme,et al.  Evaluation of the European daily precipitation characteristics from the atmospheric model intercomparison project , 1998 .

[36]  F. Zwiers,et al.  Changes in the Extremes of the Climate Simulated by CCC GCM2 under CO2 Doubling , 1998 .

[37]  Climate Change Projections Based on GCM-Simulated Daily Data , 1999 .

[38]  Martin Dubrovský,et al.  Sensitivity of Ceres-Maize Yields to Statistical Structure of Daily Weather Series , 2000 .

[39]  Jan Kyselý,et al.  Constructing Site-Specific Climate Change Scenarios on a Monthly Scale Using Statistical Downscaling , 2000 .

[40]  Modeling Approaches for Predicting Crop Ecosystem Responses to Climate Change , 2015 .