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DTM (cf. Leverington et al. 2002 ) . There are two main techniques available for
water-level surface interpolation. The first uses the geostatistical correlation of
coastal landform elevations of the same age (Saarse et al. 2003 , Rosentau et al. 2007 ,
Jakobsson et al. 2007 ) , whereas the second technique utilizes interpolated shore dis-
placement curve data (Harff et al. 2005 , PĂ„sse and Andersson 2005 , Rosentau et al.
2007 ) . The advantage of geostatistical correlation is the generally good spatial cov-
erage of the surface with proxy data, and the major shortcoming is the small number
of available time slices. The problem mainly appears in subsidence and near-zero
uplift areas where older coastal landforms are destroyed or buried under younger
transgressive sediments. The interpolated shore displacement technique allows more
detailed time resolution and thus a better interpolation, but does not commonly have
as large a spatial data set.
This study examines the possibilities of combining these two techniques in order
to create a spatial and temporal water-level change model of the SW Estonian coast
of the Baltic Sea (Fig. 8.1 ) . For the modelling exercise, the interpolated Baltic Sea
Fig. 8.1 Overview map with apparent land uplift isobases (mm/a; Ekman 1996 ) and main late
glacial ice marginal positions with ages (cal. kyears BP) according to Kalm ( 2006 ) , Lundqvist and
Wohlfarth ( 2001 ) and Saarnisto and Saarinen ( 2001 ) . The study area is marked with square
 
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