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Results:

• 11. Kok_JGEC658_2009

  it will be one of the main aspects of this paper. 2.3. Properties The elements of a Fuzzy Cognitive Map are as follows:  Concepts: C1, C2, . . ., Cn. These represent the drivers and constraints that are considered of importance to the issue under consideration.  State vector: A = (a1, a2, . . ., an), where ai denotes the state of the node Ci. The state vector represents the value of the concepts /media/loftslag/Kok_JGEC658_2009.pdf

• 12. VI_2013_008

  [Q(t);Q(t 1);Q(t 2)] E[Q(ui);Q(ui 1);Q(ui 2)] , ai = Qb(t) Qb(ui) , bi = Q(t) Qb(t) Q(ui) Qb(ui) , and Qb(t) and Qb(ui) are baseflows calculated using the UKIH baseflow separation method (Piggott et al., 2005). All rescaling coefficients were limited to a minimum value of 0.25 and a maximum value of 5. 4.5 Deterministic prediction A deterministic forecast was derived from the ensemble by taking /media/vedurstofan/utgafa/skyrslur/2013/VI_2013_008.pdf

• 13. Refsgaard_1-Welcome

  Sweden • Matt Hare, Germany / Mexico • Jens Christian Refsgaard, Geological Survey of Denmark and Greenland, GEUS • Hans Jørgen Henriksen, GEUS • Adriaan Perrels, FMI • Sigrún Karlsdóttir, IMO Week programme - format • Lectures • Study groups – Work with concepts and tools – Supervision by lecturers – Present findings Friday • brief report (few pages written note) • ppt presenation in plenary • Two /media/loftslag/Refsgaard_1-Welcome.pdf