COMPARISON OF THE STATISTICAL CHARACTERISTICS OF THE EXTREME TEMPERATURE AND PRECIPITATION TOTALS FOR BIG RUSSIAN CITIES ACCORDING TO OBSERVED DATA AND.

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Presentation transcript:

COMPARISON OF THE STATISTICAL CHARACTERISTICS OF THE EXTREME TEMPERATURE AND PRECIPITATION TOTALS FOR BIG RUSSIAN CITIES ACCORDING TO OBSERVED DATA AND MODEL SIMULATED RESULTS IN XIX-th - XXI-th CENTURIES. A A. Liakhov, Hydrometeorological Bureau of Moscow and Moscow region; V. V. Oganesyan, Long-range forecasting Department, Hydrometcenter of Russia, K. G. Rubinstein, Long-range forecasting Department, Hydrometcenter of Russia,

TIME DEPENDENCE OF THE MAXIMUM TEMPERATURE ANNUAL EXTREMES Moscow: 55.8N 37.6E, h=156m St-Petersburg: 60.0N 30.3E, h=6m Yekaterinburg : 56.8N 60.6E, h=283m Rostov: 47.3N 39.8E, h=75mTomsk: 56.4N 85.0E, h=173 Moscow St-Petersburg – 0.02 Yekaterinburg – 0.03 Rostov – 0.03 Tomsk – 0.00

TIME DEPENDENCE OF THE MINIMUM TEMPERATURE ANNUAL EXTREMES Moscow: 55.8N 37.6E, h=156mSt-Petersburg: 60.0N 30.3E, h=6m Yekaterinburg: 56.8N 60.6E, h=283m Rostov: 47.3N 39.8E, h=75mTomsk: 56.4N 85.0E, h=173 Moscow – 0.07 St-Petersburg – 0.00 Yekaterinburg – 0.05 Rostov – 0.04 Tomsk – 0.04

TIME DEPENDENCE OF THE ANNUAL MAXIMUM DAILY PRECIPITATION TOTALS Moscow: 55.8N 37.6E, h=156mSt-Petersburg: 60.0N 30.3E, h=6mYekaterinburg: 56.8N 60.6E, h=283m Rostov: 47.3N 39.8E, h=75m Tomsk: 56.4N 85.0E, h=173 Moscow – 0.07 St-Petersburg – 0.00 Yekaterinburg – 0.08 Rostov Tomsk – 0.00

TIME DEPENDENCE OF THE ANNUAL AMPLITUDES OF THE TEMPERATURE EXTREMES Moscow: 55.8N 37.6E, h=156mSt-Petersburg: 60.0N 30.3E, h=6mYekaterinburg: 56.8N 60.6E, h=283m Rostov: 47.3N 39.8E, h=75mTomsk: 56.4N 85.0E, h=173 Moscow St-Petersburg – 0.00 Yekaterinburg – 0.00 Rostov – 0.00 Tomsk

EMPIRICAL AND MODEL SIMULATED DISTRIBUTIONS OF THE DAILY PRECIPITATION TOTALS AND VALUES OF THE TEMPERATURE FOR PERIOD SIMULATED PRECIPITATIONS EMPIRICAL PRECIPITATIONS SIMULATED TEMPERATURE EMPIRICAL TEMPERATURE

EMPIRICAL AND SIMULATED MAXIMUM TEMPERATURE EXTREMES FOR PERIOD Moscow: 55.8N 37.6E, h=156mSt-Petersburg: 60.0N 30.3E, h=6mYekaterinburg: 56.8N 60.6E, h=283m Rostov: 47.3N 39.8E, h=75mTomsk: 56.4N 85.0E, h=173 Emp Mod Moscow St-Petersburg Yekaterinburg Rostov Tomsk

EMPIRICAL AND SIMULATED MINIMUM TEMPERATURE EXTREMES FOR PERIOD Moscow: 55.8N 37.6E, h=156mSt-Petersburg: 60.0N 30.3E, h=6mYekaterinburg: 56.8N 60.6E, h=283m Rostov: 47.3N 39.8E, h=75mTomsk: 56.4N 85.0E, h=173 Emp Mod Moscow St-Petersburg Yekaterinburg Rostov Tomsk

EMPIRICAL AND SIMULATED DAILY PRECIPITATION TOTALS EXTREMES FOR PERIOD Moscow: 55.8N 37.6E, h=156mSt-Petersburg: 60.0N 30.3E, h=6mYekaterinburg: 56.8N 60.6E, h=283m Rostov: 47.3N 39.8E, h=75mTomsk: 56.4N 85.0E, h=173 Emp Mod Moscow St-Petersburg Yekaterinburg Rostov Tomsk

ANGLE COEFFICIENTS FOR DISCOVERED TRENDS FOR EMPIRICAL AND SIMULATED DATA OF TEMPERATURES AND PRECIPITATION ANNUAL EXTREMES CityElementEmp initial rowEmp Sim Moscow Tmin Tmax Precipitation St-Petersburg Tmin Tmax Precipitation Yekaterinburg Tmin Tmax Precipitation Rostov Tmin Tmax Precipitation Tomsk Tmin Tmax Precipitation

Summary and conclusions Climate changes are more significant for extremes of the minimum of the daily temperature (increase °C per year) than for extremes of the maximum of the daily temperature (increase °C per year). Variability (dispersion) of the values of the minimum of the daily temperature approximately twice as many as variability (dispersion) of the values of the maximum of the daily temperature for the all cities. Frequency of the extremes of the minimum and maximum of the daily temperature for the all seasons as whole for the XX-th-XXI centuries has decreased, but intensity of the extremes of daily precipitation totals has increased. The comparison of the statistical characteristics of the observed extreme values with model data allowed to determine the differences, first of all in characteristics of the model precipitation. The analyses of the received temporal trends showed, that in the whole, the climate of big cities of Russia for the period under consideration becomes more moderate and damp. This conclusion as a whole confirms the results of modeling.