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Results:

• 11. 47th Nordic Seismology Seminar

  /norsem/norsem2016/transportation/

• 12. VI_2015_009

  corresponds to the IFM-based distribution assuming that the target site is ungauged (bµ(D) = q0(AP)q1). Blue solid line corresponds to the IFM-based distribution assuming that the target site is gauged (i.e. when µ(D) is estimated by the arithmetic mean of the observed AMF sample). Coloured dashed lines correspond to the IFM-based 95% CI (See Crochet, 2012a). 20 l llllllllllll llllllll lll l l l l l /media/vedurstofan/utgafa/skyrslur/2015/VI_2015_009.pdf

• 13. esa_flyer_new

  that is simulated. In particular, we will study renewable electricity production’s variability and sensitivity for climate changes. We will also study energy balances and the vulnerability of the system, e.g. the probability for very high power prices or curtailment that may occur in the case of two subsequent very dry years. Future development of the electricity system the next 20-30 years will also be outlined /media/ces/esa_flyer_new.pdf

• 14. IMO_AnnualReport2014

  kg/s. Plume compo- sition measurements were made by FTIR, MultiGAS and DOAS dur- ing multiple campaigns early in the eruption. IMO is collecting precipitation samples at ~20 meteorological observation sites. IMO performs the estimation of pH and amount of sulphates and other pollutants (HF, HCl) to identify potential are- as a?ected by acid rain. These samples are then analysed in cooper /media/vedurstofan/utgafa/skyrslur/2015/IMO_AnnualReport2014.pdf

• 15. ces-glacier-scaling-memo2009-01

  and ice caps may be derived from data about the area distribution of ice bodies in the drainage basin. Since the exponents g in the volume–area scalings v = csg for both ice caps and glaciers TóJ 3 5.12.2009 Memo Area (km2) Volume (km 3 ) 50 100 50 100 150 200 250 50 100 150 200 250 a71 a71a71 a71 a71 10 50 500 500020 1000 1 5 10 0 100 0 2 2 0 20 0 200 0 100 10000 Icelandic ice /media/ces/ces-glacier-scaling-memo2009-01.pdf

• 16. Alam_Ashraful_CES_2010

  Time Main assortments l l d Energy biomassSaw ogs Pu pwoo Small trees Residues Stumps 5 Use of biomass based energy in Finland Pellets 1% (0.5 Mm3) S d tForest residues and small trees used as chips 9% (3.4 Mm3) aw us 9% (3.4 Mm3) Black liquorTraditional Energy biomass 46 TWh (55%) qu45% (18 Mm3)firewood 15% (6 Mm3) Bark 21% (8.4 Mm3) Energy biomass: 20% of the primary energy production /media/ces/Alam_Ashraful_CES_2010.pdf

• 17. Kjellstrom_Erik_CES_2010

  ANN−10 −5 0 5 10 15 20 delta w (% ) 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17C h a n g e i n g e o s t r o p h i c w i n d s p e e d ( % ) Change in wind over the Baltic Sea in 70 years time at the time of CO2-doubling Chen and Aschberger, 2006 17 CM IP G CM s A need for regional ensemble simulations head2right Changes are uncertain head2right Size and sometimes even sign /media/ces/Kjellstrom_Erik_CES_2010.pdf

• 18. Tornado_Impacts_-_FMI_Presentation

  fatalities occurred in mobile homes, although only 7.6% of U.S. housing units in 2000. • A one standard deviation in the proportion of mobile homes in housing stock (8.3 percentage points) increases fatalities by 36% and injuries by 18%. The Mobile Home Problem 50 60 70 80 90 P e r c e n t a g e o f C a t e g o r y F a t a l i t i e s Mobile Homes 0 10 20 30 40 F0 F1 F2 F3 F4 F5 F /media/loftslag/Tornado_Impacts_-_FMI_Presentation.pdf

• 19. Public-Choice-2012---Teyssier---Inequity-and-risk-aversion-in-sequential-public-good-games

  + x−k) (1) Public Choice (2012) 151:91–119 95 with k = 1,2, and −k = 1 if k = 2, −k = 2 if k = 1. The variables xik and x−k are the contributions to the public good of subject i as mover k and mover −k, respectively. The contribution of the first mover is an integer x1 ∈ [0,10] and that of the second mover takes one of the two values x2 ∈ {0, x1}. 2.2 Theoretical predictions As noted /media/loftslag/Public-Choice-2012---Teyssier---Inequity-and-risk-aversion-in-sequential-public-good-games.pdf

• 20. Kok_JGEC658_2009

  after 20–30 iterations, although total stabilisation can take more than 100 iterations. Fig. 2 shows two directed graphs of the Fuzzy Cognitive Map and the development of the values of state vector A for the first 30 iterations. The right-hand side graph has one additional relationship e23 = 0.5. 2.5. Interpretation of Fuzzy Cognitive Maps All input and output of a Fuzzy Cognitive Map is semi /media/loftslag/Kok_JGEC658_2009.pdf