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RegCM3_25RegCM3_10 Driving FieldECHAM5Nested from 25km Number of grid points192 x 108128x 144 Number of vertical levels18 Integration timeJan 1, 1950 -

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Presentation on theme: "RegCM3_25RegCM3_10 Driving FieldECHAM5Nested from 25km Number of grid points192 x 108128x 144 Number of vertical levels18 Integration timeJan 1, 1950 -"— Presentation transcript:

1 RegCM3_25RegCM3_10 Driving FieldECHAM5Nested from 25km Number of grid points192 x 108128x 144 Number of vertical levels18 Integration timeJan 1, 1950 - Dec 31, 2000 Time step60 sec30 sec Terrain and landuse resolution10 min3 min Cumulus SchemeGrellMIT-Emanuel Convective Closure SchemeFritsch & Chappell- Planetary Boundary Layer SchemeHoltslag Acknowledgments: This research has been co-financed by the European Union (European Social Fund– ESF) and Greek national funds through the Operational Program "Education and Lifelong Learning" of the National Strategic Reference Framework (NSRF) - Research Funding Program: Thalis. Investing in knowledge society through the European Social Fun “CCSEAWAVS: Estimating the effects of Climate Change on SEA level and WAve climate of the Greek seas, coastal Vulnerability and Safety of coastal and marine structures” www.thalis-ccseawavs.web.auth.gr Climate Model The model used for the regional climate simulations in this work is RegCM3. RegCM was originally developed at the National Center for Atmospheric Research (NCAR) and has been mostly applied to studies of regional climate and seasonal predictability around the world. Two long term regional climate simulations were carried out, one over Europe (25x25km resolution) and one over the Greek Area (10x10km resolution). The model domains can be seen in Figure 1 and 2 and the model setup is presented in Table 1. Table 1: Model Setup Discussion The RegCM3_10, as well as RegCM3_25 produce realistic monthly wind direction patterns (Wind Roses). The partitioning of the total variance of wind speed among different wind direction, separated in classes of 22.5 degree, are generally reproduced by the models while the mean wind speed is systematically overestimated for the majority of the wind directions. The RegCM3 projections show an overall agreement to extreme wind speed. The high-resolution simulations (RegCM3_10) of the 75 th, 90 th and 95 th percentile of max and mean wind speed present the best results (Figure 4) and the higher R 2 values. Extreme values Fig. 4a: Model vs Observation percentiles (75 th - red, 90 th - blue, 95 th - green) for max wind speed Fig. 4b: Model vs Observation percentiles (75 th - red, 90 th - blue, 95 th - green) for mean wind speed Aristotle University of Thessaloniki, Dept. of Meteorology and Climatology, Thessaloniki, Greece Effects of regional climate model spatial resolution on 10m wind field over the Aegean Sea I. Tegoulias, Ch. Anagnostopoulou, K. Tolika, K. Velikou, and Ch. Vagenas 13th EMS Annual Meeting & 11th European Conference on Applications of Meteorology (ECAM) | 09 – 13 September 2013 | Reading, United Kingdom Percentage (%) of Wind Direction Mean Speed of Wind Directions In order to evaluate RegCM3 and analyze the advantages of high resolution simulations over the Aegean Sea, the simulated values of 10 meter u and v components of wind speed are compared to the respective observed values at 15 Greek meteorological stations from the network of the Hellenic National Meteorological Service (Fig. 3). Fig. 2: Simulation domain (10x10km) Fig. 1: Simulation domain (25x25km) Fig. 3: Location of the meteorological stations MODELS vs OBSERVATION R 2 MAX WIND SPEED JANMARJUNSEP PercentileMod10Mod25Mod10Mod25Mod10Mod25Mod10Mod25 75th0.300.150.300.150.370.220.580.28 90th0.140.050.310.170.360.220.560.24 95th0.090.050.200.100.280.170.560.24 MODELS vs OBSERVATION R 2 MEAN WIND SPEED JANMARJUNSEP PercentileMod10Mod25Mod10Mod25Mod10Mod25Mod10Mod25 75th0.290.280.550.440.680.550.760.55 90th0.240.170.520.370.670.590.790.53 95th0.170.140.420.270.630.510.820.53


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