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Sweden 
Cold ocean 
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Figure 2: Schematic overview of the European Research End user Consortium (EREC) structure 
> improved methodological approaches of combined remote 
sensing techniques integrated into GIS and validated to the 
specific conditions of the respective European climatic 
regions. 
As schematically shown in Figure 2, the benefits of applied 
remote sensing techniques for improving the parameterization of 
prognostic simulation models will be demonstrated by the fact 
that: 
> each of the main European climatic zones is represented by a 
local Research End User Team (RET) dealing with 
individual water related environmental problems of their 
respective test catchment; 
> all RETs are integrated via common Working Packages 
(WPs) into the project's European Research End User 
Consortium (EREC), thereby generating the projects 
synergism, 
> within the EREC improved insight for integrated 
hydrological systems analyses, water resources management 
and environmental protection is developed; 
> regionalisation is obtained by reflecting the principles of 
interactive process dynamics extracted from this insight 
towards the Idealized European Catchment (IEC). 
Based on this concept, each RET within the EREC is dealing with 
its specific regional environmental problem and model 
parameterization. It is thereby contributing methodologically 
towards an improved understanding of the underlaying process 
dynamics active in the IEC systems structure. The IEC therefore 
can be seen as the conceptualized synergetic pool of the project 
comprising the scientific expertise obtained from the respective 
RETS research work within the EREC. 
3. DESCRIPTION OF CUSTOMERS AND THEIR 
REQUIREMENTS 
The structure of ARSGISIP is schematically shown in Figure 2 
and consists of national Research End User Teams (RETS) 
comprising researcher and end users in an interactively 
collaborating project cell. They in turn are forming the European 
Research End User Consortium (EREC). 
End users listed in Table 3 include partners from various 
organizations, dealing with environmental problems from a range 
of different European climatic regions, such as cold-boreal in 
Scandinavia, moderate-humid in central Europe, and semi-arid 
mediterranean in southern Europe. They already apply physically 
based models in order to simulating "what-if?" scenarios of 
hydrological, eosion and solute transport dynamics for 
prognostive catchment management. Such models make use of 
GIS databases which in turn require a continuous update in time 
and space on different scales which can only be obtained by 
application of EO data. 
116 International Archives of Photogrammetry and Remote Sensing. Vol. XXXII, Part 7, Budapest, 1998 
  
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