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Fourth Study Conference on BALTEX Scala Cinema Gudhjem

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- 88 -<br />

A 10 Years Simulati<strong>on</strong>s of the Baltic Sea Hydrography With Special<br />

Attenti<strong>on</strong> to the Sea Level Fluctuati<strong>on</strong>s<br />

Kai Myrberg 1 , Oleg Andrejev 1 and Björn Sjöberg 2<br />

1 Finnish Institute of Marine Research, P.O. Box 33, 00931 Helsinki, Finland. myrberg@fimr.fi<br />

2 Swedish Meteorological and Hydrological Institute, Nya Varvet 31, 426 71, Västra Frölunda, Sweden.<br />

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

Many modeling studies have been devoted during the last<br />

years to study l<strong>on</strong>g-term energy and water balance of the<br />

Baltic with various aspects under the <strong>BALTEX</strong>programme<br />

and also in different other projects (see. e.g.<br />

Lehmann and Hinrichnsen, 2000, Meier, 2002, Omstedt<br />

and Axell, 2003). In this study a three-dimensi<strong>on</strong>al<br />

baroclinic prognostic model of the Baltic Sea (Andrejev<br />

and Sokolov, 1989, Myrberg and Andrejev 2003,<br />

Andrejev et al. 2004a, Andrejev et al. 2004b) is applied<br />

to study the sea-level variability in the Baltic Sea. The<br />

model results are compared with observed sea-levels at<br />

numerous stati<strong>on</strong>s. The model results for salinity and<br />

temperature are also compared with the observati<strong>on</strong>s of a<br />

few Baltic m<strong>on</strong>itoring stati<strong>on</strong>s. Also the results of salinity<br />

and sea-level simulati<strong>on</strong>s during major inflow in 1993<br />

are shortly discussed.<br />

2. The model simulati<strong>on</strong>s<br />

A baroclinic prognostic model of the Baltic Sea<br />

(Andrejev and Sokolov, 1989, Myrberg and Andrejev<br />

2003, Andrejev et al. 2004a, Andrejev et al. 2004b) with<br />

a horiz<strong>on</strong>tal resoluti<strong>on</strong> of 2 nautical miles and 40 vertical<br />

levels was used to simulate the hydrography of the Baltic<br />

for a 10-years period (1991-2000). The open boundary of<br />

the model is placed across the northern Kattegat where<br />

sea-levels observed in Göteborg and Fredrikshamn are<br />

given at 3h hour intervals. The model is forced by the<br />

SMHI meteorological data with a spatial resoluti<strong>on</strong> of<br />

1*1 degree. The m<strong>on</strong>thly mean values of river discharges<br />

for 1970-1990 (Bergström and Carlss<strong>on</strong>, 1994) were<br />

used. The initial temperature and salinity fields were<br />

assembled using a data assimilati<strong>on</strong> system due to<br />

Sokolov et al. (1997) which in turn is coupled to a Baltic<br />

envir<strong>on</strong>ment database (Wulff and Rahm, 1991). The spinup<br />

period of the model was from 1 June 1990 to<br />

December 31, 1990.<br />

3. Main results<br />

At first the results of the simulati<strong>on</strong>s were compared with<br />

the observati<strong>on</strong>s of a few Baltic m<strong>on</strong>itoring stati<strong>on</strong>s (BY-<br />

5, BY-15, BY-31 and NB1). The comparis<strong>on</strong>s showed<br />

that the model can well reproduce the l<strong>on</strong>g-term main<br />

changes of temperature and salinity but some problems<br />

are found which might be coupled with inaccuracies in<br />

the meteorological forcing, parameterizati<strong>on</strong> of the<br />

vertical turbulence etc.<br />

Special attenti<strong>on</strong> is given to the comparis<strong>on</strong> of calculated<br />

and observed sea-levels (see Fig.1). Observati<strong>on</strong>s from<br />

many stati<strong>on</strong>s al<strong>on</strong>g the Baltic coast were chosen for this<br />

purpose. The model reproduced the sea-level fluctuati<strong>on</strong><br />

with relatively good accuracy. Nevertheless periods of<br />

disagreement between the calculated and observed sea<br />

level occur sometimes. Such factors as the<br />

parameterizati<strong>on</strong> of the water exchange between the<br />

Baltic and the North seas (including that the resoluti<strong>on</strong> of<br />

the model 2 nm is most probably not high enough) and<br />

the accuracy of the meteorological forcing play an<br />

important role in the accuracy of the results. A statistical<br />

analysis is shown to explain the discrepancies between<br />

the observati<strong>on</strong>s and the model results in detail.<br />

A special simulati<strong>on</strong> was carried out to study the Baltic<br />

major inflow in 1993. In the presentati<strong>on</strong> it will be shown<br />

(see also Fig.2.) that the model reproduce well the inflow<br />

event and related changes in sea-levels and salinity as<br />

well as the penetrati<strong>on</strong> of the saline water into the Baltic<br />

Sea. A total volume of about 295-340 km 3 of inflowing<br />

water could be estimated by the model being close to the<br />

observed values.<br />

Figure 1. Time-evoluti<strong>on</strong> (days) of the sea-level at<br />

Helsinki stati<strong>on</strong> during January 1- April, 30 1992. The<br />

observati<strong>on</strong>s are marked with a blue line whereas the<br />

model results are marked with a red line.<br />

Figure 2. The sea-level in Landsort for the period<br />

December 1, 1992 to January 31, 1993.

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