07.02.2013 Views

Fourth Study Conference on BALTEX Scala Cinema Gudhjem

Fourth Study Conference on BALTEX Scala Cinema Gudhjem

Fourth Study Conference on BALTEX Scala Cinema Gudhjem

SHOW MORE
SHOW LESS

You also want an ePaper? Increase the reach of your titles

YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.

- 118 -<br />

Changes in Lake Võrtsjärv Ice Regime During the Sec<strong>on</strong>d Half of the 20 th<br />

Century Characterized by M<strong>on</strong>thly Z<strong>on</strong>al Circulati<strong>on</strong> Index<br />

Arvo Järvet<br />

Department of Geography, University of Tartu, Vanemuise 46, 51014 Tartu, Est<strong>on</strong>ia, ajarvet@ut.ee<br />

1. Introducti<strong>on</strong><br />

Ice cover is a complex climatic phenomena that is an even<br />

more important factor characterizing ecological c<strong>on</strong>diti<strong>on</strong>s<br />

of lakes in wintertime. Winter is the period with the highest<br />

variati<strong>on</strong> and change in the Northern Hemisphere and has<br />

therefor a potentially high impact <strong>on</strong> the lake ecosystem.<br />

Shift towards earlier spring events in lake ice cover is<br />

observed globally in the Northern hemisphere lakes<br />

(Magnuss<strong>on</strong> et al. 2000). On the global scale, the lake ice<br />

parameters such as thickness, freeze-up and break-up dates,<br />

ice cover durati<strong>on</strong> are good indicators of regi<strong>on</strong>al climate<br />

change in high-latitude regi<strong>on</strong>s. Earlier findings suggested a<br />

substantial impact of the NAO <strong>on</strong> winter ice cover<br />

(Livingst<strong>on</strong>e 1999). Significant temporal variability of<br />

climate seas<strong>on</strong>s in winter period in Est<strong>on</strong>ia was detected. In<br />

particular, trends and fluctuati<strong>on</strong>s are analysed in detail,<br />

searching for possible c<strong>on</strong>necti<strong>on</strong>s with the North Atlantic<br />

Oscillati<strong>on</strong> (NAO).<br />

The use of ice regime of lake as climatic indicators are more<br />

useful than those for rivers because a) human activity <strong>on</strong><br />

lakes is comparatively neglible, and b) the hydrodynamic<br />

c<strong>on</strong>diti<strong>on</strong>s inluence much more ice formati<strong>on</strong> in rivers as in<br />

lakes. The study of dates and durati<strong>on</strong> of ice cover in lakes<br />

provides an interesting assessment of the impact of<br />

interannual ice climate variability <strong>on</strong> the regime of seas<strong>on</strong>al<br />

temperature. In particular, the interannual variability of latewinter<br />

and early-spring temperature in Europe shows<br />

associati<strong>on</strong> with the phases of the NAO. The positive phases<br />

of NAO are associated with warmer and rainy late-winters,<br />

and early-spring in Est<strong>on</strong>ia. The circulati<strong>on</strong> indices for<br />

Est<strong>on</strong>ia calculated by O. Tomingas (2003) were used as a<br />

measure for regi<strong>on</strong>al-scale circulati<strong>on</strong>. The z<strong>on</strong>al circulati<strong>on</strong><br />

index are calculated using daily 5x5 degree gridded sealevel<br />

pressure data. It is difference between standardized<br />

average pressure anomalies at three stati<strong>on</strong>s south (52.5°N)<br />

and north (62.5°N) of Est<strong>on</strong>ia. Positive values of the z<strong>on</strong>al<br />

index represent higher than normal westerly circulati<strong>on</strong>, and<br />

negative values indicate lower than normal westerlies or<br />

even easterly airflow.<br />

In this study we compared the impact of local climate<br />

variability by regi<strong>on</strong>al circulati<strong>on</strong> indices to examine<br />

atmospheric circulati<strong>on</strong> influence <strong>on</strong> a Lake Võrtsjärv ice<br />

regime. Lake Võrtsjärv is a naturally eutrophic lake in<br />

southern Est<strong>on</strong>ia at 34 m above sea level with a surface area<br />

of 270 km 2 , a maximum depth of 6 m, a mean depth of 2.8<br />

m and a turnover time of 1 year. The lake is always icecovered<br />

in winter and the ice break-up, registered since<br />

1924, occurs in general between mid of March and the mid<br />

of April. Shallowness of the lake causes the winter ice cover<br />

great importance for its ecosystem. The ice thickness affects<br />

the active water volume and the ice period durati<strong>on</strong> affects<br />

the annual cycle of primary producti<strong>on</strong>, especially in<br />

shallow lakes (Järvet 1999).<br />

2. Data<br />

The observati<strong>on</strong> data from the Est<strong>on</strong>ian Meteorological and<br />

Hydrological Institute (EMHI) of ice regime in the 78-year<br />

period of 1923–2000 were used. The observati<strong>on</strong><br />

programme included informati<strong>on</strong> about the date of the first<br />

freezing, the formati<strong>on</strong> and the end of the permanent ice<br />

cover, the final disappearance of the ice and the thickness<br />

of the ice cover. Ice thickness is measured 100 m from<br />

coast in stati<strong>on</strong>s after every fifth day. The collected data<br />

materials were published in hydrological yearbooks and<br />

preserved to the present day in the archive of EMHI. The<br />

circulati<strong>on</strong> indices related to ice cover characteristics<br />

analyzed. Regressi<strong>on</strong> analysis was employed to establish<br />

relati<strong>on</strong>ships between any variables of interest.<br />

3. Results and discussi<strong>on</strong><br />

The ice thickness typically increases until late February –<br />

early March, and maximum mean thickness is 53±13 cm<br />

in an average, ranging 50-60 cm in normal winters and<br />

over 80 cm even in the sec<strong>on</strong>d half of March in a harsh<br />

winter (Fig. 1). The thickest ice cover in Lake Võrtsjärv –<br />

98 cm – was measured in 1942 (Table 1).<br />

Table 1. Statistics of temporal variability for start date of<br />

ice periods Lake Võrtsjärv by linear trend line in 1924–<br />

2000.<br />

Statistics Beginning<br />

of ice<br />

phenomena<br />

Beginning<br />

of ice<br />

cover<br />

End of End of ice<br />

ice cover phenomena<br />

Mean 14. nov. 28. nov. 07. apr. 20. apr.<br />

St. Dev 13,9 14,7 14,0 11,8<br />

Earliest 15. oct. 03. nov. 14.feb 21.march<br />

Year 1976 1940 1989 1990<br />

Latest 24. dec. 03. jan. 03. may 12. may<br />

Year 1929 1933 1955 1956<br />

Slope -0,158 -0,109 -0,058 0,063<br />

in 1924 20. nov. 02. dec 09. apr. 17. apr.<br />

in 2000 08. nov. 24. nov. 05. apr. 21. apr.<br />

Change -12 -8 -4 5<br />

p-value 0,029 0,159 0,442 0,323<br />

Ice thickness, cm<br />

100<br />

90<br />

80<br />

70<br />

60<br />

50<br />

40<br />

30<br />

20<br />

10<br />

0<br />

1925 1935 1945 1955 1965 1975 1985 1995<br />

Figure 1. L<strong>on</strong>g-period change of annual maximum ice<br />

thickness in 1925–2000.<br />

Results of linear regressi<strong>on</strong> analysis of l<strong>on</strong>g-term ice<br />

observati<strong>on</strong> series indicate the presence of some l<strong>on</strong>g-term<br />

changes in the beginning dates of ice periods. The most<br />

important of them is the shortening of ice cover period and<br />

the shifting earlier of the ice break-up date in spring. The

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!