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Zmena klímy – možný dopad (nielen) na obyvateľstvo - Prohuman

Zmena klímy – možný dopad (nielen) na obyvateľstvo - Prohuman

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Communication on Climate Change, 1995). New series of sce<strong>na</strong>rios have been issued<br />

step by step in 1995–2009 (5th Slovak Natio<strong>na</strong>l Communication on Climate<br />

Change, 2009). Outputs from four GCMs (CGCM3.1, ECHAM5, KNMI and MPI) have<br />

been used in the daily data downscaling as new climate change sce<strong>na</strong>rios for Slovakia<br />

since 2011. These models belong to the newest category of so-called coupled<br />

atmosphere-ocean models with detail network of grid points. Now only selected<br />

results from the newest climate change sce<strong>na</strong>rios are presented in Figs. 5, 8 and 9<br />

(Lapin et al., 2012).<br />

All from these model outputs and downscaling methods e<strong>na</strong>ble to prepare also<br />

combined sce<strong>na</strong>rios based on the GCMs and RCMs modified outputs and regression<br />

or physical relations among climatic variables. Potential evapotranspiration<br />

(Eo) monthly sum series can be considered as one of possible combined sce<strong>na</strong>rios.<br />

Importance of Eo sums change can be seen in Table 1, where monthly and annual<br />

30-year average Eo sums for Hurbanovo are shown. More about measured Eo is<br />

published in Hrvoľ et al. (2012). Using simple Zubenok (1976) method the future<br />

Eo sce<strong>na</strong>rios can be calculated just from the saturation deficit monthly averages.<br />

Another combined sce<strong>na</strong>rios are (monthly values): snow cover depth, number<br />

of snow cover days, runoff, soil moisture, occurrence of heat waves, occurrence<br />

of thunderstorms and flash floods etc. (Lapin and Melo, 2004, Lapin et al., 2009).<br />

Table 1. Sce<strong>na</strong>rios of monthly and annual sums of the potential evapotranspiration<br />

Eo (in mm) in 2011–2040 (2025 time frame) and in 2071–2100 (2085 time frame)<br />

by 4 different RCMs and GCMs models for Hurbanovo, HURB 1961–1990 – calculated<br />

according to the measured values, all by the Zubenok method.<br />

I II III IV V VI VII VIII IX X XI XII Year<br />

HURB 1961–1990 11.7 19.1 47.1 84.3 111.7 130.1 133.7 112.4 77.1 46.8 22.8 12.1 808.9<br />

KNMI A1B 2025 12.5 20.6 52.1 92.2 118.3 135.2 141.0 118.1 82.6 49.6 24.4 12.7 859.4<br />

KNMI A1B 2085 14.7 22.3 54.8 93.7 126.5 148.4 156.6 130.6 86.8 52.7 25.9 13.7 926.7<br />

MPI A1B 2025 14.3 20.7 52.2 91.4 111.2 133.4 136.7 122.4 84.4 52.6 25.9 13.9 859.0<br />

MPI A1B 2085 19.1 25.5 54.6 90.3 116.3 141.7 148.0 135.9 95.3 56.2 29.6 17.0 929.6<br />

CGCM3.1 A2 2025 12.7 21.2 48.2 91.4 116.8 137.7 136.0 120.4 85.1 52.6 23.2 12.2 857.5<br />

CGCM3.1 A2 2085 12.4 21.2 49.3 103.7 123.6 141.5 143.0 135.5 96.7 57.8 27.8 14.1 926.6<br />

CGCM3.1 B1 2025 12.3 22.4 48.0 90.0 117.9 135.3 135.5 116.5 80.2 50.4 24.2 12.7 845.3<br />

CGCM3.1 B1 2085 11.8 20.4 45.8 95.9 117.6 138.7 136.7 122.5 84.3 53.3 24.5 13.6 865.1<br />

97

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