caa a22 4500 467903433 CHVBK 20180406152826.0 cr unu---uuuuu 170328e20060801xx s 000 0 eng 10.1007/s10661-005-9040-5 doi (NATIONALLICENCE)springer-10.1007/s10661-005-9040-5 Gabbert Silke Department of Environmental Sciences, Environmental Systems Analysis Group, Wageningen University, Wageningen, The Netherlands aut Improving Efficiency Of Uncertainty Analysis In Complex Integrated Assessment Models: The Case Of The Rains Emission Module [Elektronische Daten] [Silke Gabbert] Abstact: Ever since the Regional Acidification Information and Simulation Model (RAINS) has been constructed, the treatment of uncertainty has remained an issue of major interest. In a recent review of the model performed for the Clean Air for Europe (CAFE) programme of the European Commission, a more systematic and structured uncertainty analysis has been recommended. This paper aims at contributing to the scientific debate how this can be achieved. Because of its complex structure on the one hand and limited research resources (time, computational capacities) on the other hand a full-blown uncertainty analysis in RAINS is hardly feasible. Therefore, all types of uncertainty require more efficient ways for uncertainty analysis. With respect to parameter uncertainty, we propose to focus research efforts for uncertainty analysis on key parameters. Among different approaches to select key parameters that have been discussed in the literature screening methods seem to be particularly appropriate for complex, deterministic Integrated Assessment models such as RAINS. Surprisingly, in Integrated Assessment modelling for air pollution problems of screening design have not been taken up so far. As a case study we consider the emission module of RAINS. We show that its structure allows for a straightforward and effective screening procedure Springer Science+Business Media, Inc., 2006 air pollution modelling nationallicence parameter uncertainty nationallicence RAINS nationallicence screening methods nationallicence Environmental Monitoring and Assessment Kluwer Academic Publishers 119/1-3(2006-08-01), 507-526 0167-6369 119:1-3<507 2006 119 10661 https://doi.org/10.1007/s10661-005-9040-5 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s10661-005-9040-5 text/html Onlinezugriff via DOI NATIONALLICENCE 100 1- Gabbert Silke Department of Environmental Sciences, Environmental Systems Analysis Group, Wageningen University, Wageningen, The Netherlands aut NATIONALLICENCE 773 0- Environmental Monitoring and Assessment Kluwer Academic Publishers 119/1-3(2006-08-01), 507-526 0167-6369 119:1-3<507 2006 119 10661 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer