GLOBAL AND REGIONAL CLIMATE SIMULATIONS · 2010. 2. 8. · B. Rajkovic, V, Djurdjevic, G....
Transcript of GLOBAL AND REGIONAL CLIMATE SIMULATIONS · 2010. 2. 8. · B. Rajkovic, V, Djurdjevic, G....
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GLOBAL AND REGIONAL CLIMATE
SIMULATIONS
DYNAMICAL DOWNSCALING AS A TOOL FOR FOCUSING
GLOBAL RESULTS TO A REGION OR SUB-REGION
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GLOBAL AND REGIONAL CLIMATE SIMULATIONS
Center for environmental modeling and prediction, University of Novi Sad CMEP
South East European Virtual Climate Change Center (hosted by Republic Hydro meteorological Service of Serbia) SEEVCC
● B. Rajkovic, V, Djurdjevic, G. Pejanovic, M. Vujadinovic, A. Krzic. A. Vukovic, S. Nickovic, M. Dacic
Institute for Meteorology, Faculty of Physics, Belgrade University IM
Faculty of Agriculture, Belgrade University FA
Center for Climate Change in the Mediterranean CCMC
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The observed CO2 and the IPCC scenarios
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Results from the global (SINTEX-G) model
• 1870-2000 - 20C simulation• 2001-2100 - A1B scenario simulation
• Time series of the annual mean values of surface temperature averaged over the entire globe.
• The values plotted are the year-to-year deviation with respect to the 1870-1890 mean
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“Standard” Results from the global (SINTEX-G) model
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Dynamical downscaling
Coupled Regional Climate Model EBU-POM(developed at UB and SEE-VCCC)
model results:air temperature and precipitation
● Climate projections
● Application of climate indices in agronomy (viticulture)
calculation of climate indices
present climate(1961-1990)
climate at the end of 21st century(2071-2100)
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Dynamical downscaling
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Model description: EBU - POM
Atmospheric part:
Oceanic part:
Eta/NCEP model (EBU=Eta Belgrade University)
resolution: 0.25˚ (~30km) , 32 vertical levels
POM (Princeton Ocean Model)
resolution: 0.20˚21 vertical levels
horizontaldomain: Euro-Mediterranean region
(center at 15E/41.5N, +/-19.9 W-E, +/-13.0 S-N)
horizontal
domain: Mediterranean Seawithout Black Sea
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Simulations
Initial and boundary conditions:from AOGCM SX-G (global model)EBU-POM simulations:Experiment Time slice20c3m (present climate) 1961-1990
A1B 2001-2030 2071-2100
A2 2071-2100
Model output variables available on every 6 hours !
EP/CRU BIAS MAE RMSE
annual 0.64 1.63 1.87model verificationfor 2m air temp.(present climate)
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Results for Europe
2m air temperatureA2 (2071-2100) vs. (1961-1990)
over 4 degrees
A2 (2071-2100) vs. (1961-1990)
precipitation
brown: decreasegreen: increase } in % comparing
to present climate
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heliothermal, drought and cold night index
Heliothermal Index (HI) /Drought Index (DI) /Cold Night Index (CI)define climate characteristics of vineyard regions (Tonnietto, 2004.)
Application in viticulture
1961 – 1990. 2071 – 2100.
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Growing season (base temperature = 10°C)
● growing degree days (GDD) - sum of daily averaged
temperatures above 10°C
● maximum number of Consecutive Dry Days (CDD)- maximum number of consecutive days with daily prec.< 1mm
June July
A2 (2071-2100) vs. (1961-1990)
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Rest period
● number of days with tmin less than -15°C
● total number of frost days
autumn (SON)
spring (MAM)
A2 (2071-2100) vs. (1961-1990)
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A hydrological application
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Conclusions
● Starting point is a global climate simulation
● Analysis of climate observations and projections can be applied in agricultural as well as in other economy sectors
● It is possible to focus on a region or even very local sub-region using a regional climate model