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PIK Biennial Report 2000-2001 - Potsdam Institute for Climate ...

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MODULARITY<br />

The different modules are exchangeable with different<br />

versions coming from different sources. The modules<br />

can be written in different programming languages.<br />

Figure 2 shows an example based on different versions<br />

<strong>for</strong> modelling the climate system, the biosphere, and the<br />

global economy.<br />

STANDARDIZATION OF INTERFACES<br />

In order to integrate different modules, the interfaces<br />

between them must be well-defined. Every research<br />

group must comply to these interface definitions, but is<br />

free to design the internal structure of the module<br />

according to their specific modelling approach.<br />

MODE OF INTERACTION<br />

The modules are integrated by an object-oriented plat<strong>for</strong>m<br />

which can operate both in simulation mode and in<br />

optimization mode.<br />

EXPLORING UNCERTAINTY<br />

The PIAM concept allows us to explore uncertainties<br />

about the structure of its individual modules and helps<br />

us to assess parametric uncertainties in a standardized<br />

way.<br />

Some of the modules are based on existing programs<br />

modified so as to fit the modular structure. Other, new<br />

modules are developed in cooperation with various<br />

<strong>PIK</strong> projects. As a rule, PIAM puts a strong emphasis on<br />

decision-making in the face of climatic risks.<br />

GloGov<br />

Global Governance<br />

Project speaker: Frank Biermann<br />

<strong>PIK</strong> project members: Bernd Siebenhüner (deputy project<br />

leader), Aarti Gupta (visiting fellow, <strong>2000</strong>/1), Lilibeth<br />

Acosta-Michlik, Torsten Grothmann, Richard Klein,<br />

Gerhard Petschel-Held.<br />

External collaborators: Columbia University’s Center <strong>for</strong><br />

Science, Policy and Outcomes; Environmental Policy<br />

Research Unit of Free University of Berlin (Germany);<br />

<strong>Institute</strong> <strong>for</strong> Economic Research; Joint Global Change<br />

Research <strong>Institute</strong> of the Pacific, Northwest National<br />

Laboratory and the University of Maryland; Harrison<br />

Program on the Future Global Agenda of the University<br />

Fig. 2: Modularity represents the basic strategy of PIAM. By<br />

implementing an interface standard, it becomes possible to<br />

integrate modules <strong>for</strong> a specific context or policy question.<br />

of Maryland at College Park; Harvard University;<br />

Oldenburg University.<br />

Research Tasks<br />

The Global Governance Project analyses international<br />

institutions, organizations, actors and political processes<br />

that influence the emerging system of global environmental<br />

governance. The focus is on questions of institutional<br />

and organizational effectiveness, learning processes<br />

in environmental policy, inter-linkages, and equity.<br />

Analytical tools are qualitative social science methods,<br />

like structured case studies, as well as legal analysis.<br />

43

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