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Fourth Study Conference on BALTEX Scala Cinema Gudhjem

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- 143 -<br />

An Overview of L<strong>on</strong>g-Term Time Series of Temperature, Salinity and<br />

Oxygen in the Baltic Sea<br />

Karin Wesslander 1 , Philip Axe 2 , Mattias Green 1 , Anders Omstedt 1 and Artur Svanss<strong>on</strong> 1<br />

1 Göteborg University, Department of Earth Sciences: Oceanography. Box 460, SE-405 30 Göteborg Sweden<br />

2 SMHI Oceanographic Unit, Byggnad 31, Nya Varvet, Västra Frölunda SE-426 71, Göteborg, Sweden<br />

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

One of the new objectives within <strong>BALTEX</strong> Phase 2 is to<br />

analyze climate variability and change since 1800. Improved<br />

understanding of the Baltic Sea climate requires a set of<br />

observati<strong>on</strong>s that are of known quality and well distributed<br />

in space and time. Marine data however, are often sampled<br />

irregularly both in space and time, are of variable quality<br />

and thus difficult to interpret. To meet the new <strong>BALTEX</strong><br />

objectives we therefore need to put more efforts in<br />

oceanographic data handling, data correcti<strong>on</strong>, time series<br />

rec<strong>on</strong>structi<strong>on</strong> and data quality assessment. To initiate this<br />

work we summarise here the available salinity, temperature,<br />

and oxygen data from the Baltic Sea. We also discuss efforts<br />

needed for making l<strong>on</strong>g-term data sets available for the<br />

research community with assessments of the data quality.<br />

Finally, we outline a work strategy that could be used within<br />

the <strong>BALTEX</strong> research community.<br />

2. Data sources<br />

Temperature, salinity and oxygen profile data are mainly<br />

collected during research vessel cruises. Data are then stored<br />

at various nati<strong>on</strong>al and internati<strong>on</strong>al centres. These centres<br />

often exchange data between themselves. However, there are<br />

occasi<strong>on</strong>ally time delays and differences in the data stored at<br />

the different data banks.<br />

When using data from the different centres and putting l<strong>on</strong>gterm<br />

data sets together, <strong>on</strong>e has to compare observati<strong>on</strong>s<br />

from different ships and countries, despite the fact that intercalibrati<strong>on</strong>s<br />

are very rare. Different measurement techniques<br />

must be c<strong>on</strong>sidered when assembling l<strong>on</strong>g time series.<br />

Correcti<strong>on</strong> of systematic errors and data homogenizati<strong>on</strong> are<br />

therefore important. Furthermore, the temporal and spatial<br />

resoluti<strong>on</strong> of data should be c<strong>on</strong>sidered.<br />

2.1 Special Cruises and data sets<br />

The very first Swedish research cruise in the Baltic Sea was<br />

c<strong>on</strong>ducted in 1877 by F. L. Ekman. Several secti<strong>on</strong>s of<br />

temperature and salinity were measured in the Skagerrak,<br />

Kattegat and Baltic Sea, Ekman (1893). Instrumental<br />

offshore data before 1877 are thus difficult to obtain. Instead<br />

proxy data need to be used when we are to extend time<br />

series back to 1800.<br />

Björk and Nordberg (2003) present an example of a l<strong>on</strong>g<br />

time series with good data quality. From 1930-1989, daily<br />

hydrographic observati<strong>on</strong>s were made from a suspensi<strong>on</strong><br />

bridge at Bornö Oceanographic Stati<strong>on</strong>, inside Gullmar fjord<br />

<strong>on</strong> the Swedish west coast, resulting in a l<strong>on</strong>g and dense<br />

time series.<br />

2.2 Lightships observati<strong>on</strong>s<br />

Several lightships were in operati<strong>on</strong> in the Baltic Sea during<br />

the 20 th century, although operati<strong>on</strong> ceased during the latter<br />

half of the century. Lightship crews made daily observati<strong>on</strong>s<br />

of meteorology, sea-ice thickness and extent, sea-surface<br />

temperature, current velocity, and at least weekly<br />

observati<strong>on</strong>s of salinity. Most lightship observati<strong>on</strong>s have<br />

been digitized but there is still work to do. Data from<br />

Swedish lightships have been digitized from 1923<br />

<strong>on</strong>wards. Around this time the method for measuring<br />

salinity was changed from areometer to titrati<strong>on</strong>. The<br />

titrati<strong>on</strong> method is c<strong>on</strong>sidered to be more accurate.<br />

2.3 Databases<br />

The Baltic Envir<strong>on</strong>mental Database (BED) is an extensive<br />

database with almost 1.5 milli<strong>on</strong> observati<strong>on</strong>s sampled<br />

between 1900-1995 (Sokolov et al., 1997, see also<br />

http://data.ecology.su.se/models/bed.htm).<br />

The Swedish Ocean Archive SHARK (Svenskt<br />

HavsARKiv) is a database that is run by SMHI (Swedish<br />

Meteorological and Hydrological Institute, www.smhi.se).<br />

This database c<strong>on</strong>tains mainly Swedish, but also<br />

internati<strong>on</strong>al, observati<strong>on</strong>s from the Skagerrak, Kattegat<br />

and Baltic Sea. Data from 1952 <strong>on</strong>wards, from selected<br />

stati<strong>on</strong>s are freely available <strong>on</strong>line at<br />

http://www.smhi.se/sgn0102/nodc/datahost/datahost.html#<br />

Datahost. The Oceanographic Data Centre for <strong>BALTEX</strong> is<br />

located at SMHI.<br />

ICES (Internati<strong>on</strong>al Council for the Explorati<strong>on</strong> of the<br />

Sea) was founded in 1902 and coordinates and promotes<br />

marine research in the North Atlantic. Nineteen member<br />

countries submit data to ICES and oceanographic profile<br />

data from 1900 (and surface data from 1890) are available<br />

<strong>on</strong> their website, www.ices.dk. Data may be retrieved free<br />

of charge either by searching for special cruises, ocean<br />

weather ships or by selecting data in geographical squares.<br />

In additi<strong>on</strong>, through its data centre work, ICES supports<br />

the work of the HELCOM and OSPAR marine<br />

c<strong>on</strong>venti<strong>on</strong>s. These promote, and coordinate, data<br />

collecti<strong>on</strong> in the Baltic, Kattegat and Skagerrak. ICES<br />

fisheries work coordinates the Internati<strong>on</strong>al Bottom Trawl<br />

Survey, which has produced high spatial resoluti<strong>on</strong><br />

hydrographic data annually (every January-February)<br />

since about 1970.<br />

3. Baltic Sea data<br />

When working with l<strong>on</strong>g time series from regi<strong>on</strong>s such as<br />

the Baltic Sea it is important to c<strong>on</strong>sider both temporal and<br />

spatial resoluti<strong>on</strong>. Data are distributed unevenly in both<br />

time and space. When sampling, for example, occurs <strong>on</strong>ly<br />

<strong>on</strong>ce a year it is not obvious that the same m<strong>on</strong>th was used<br />

from year to year. While the sampling frequency increased<br />

enormously from the early 1900s to the present, there are<br />

periods where the number of observati<strong>on</strong>s was<br />

significantly reduced, for example during the two World<br />

Wars.

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