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Results:

• 31. 2012-Refsgaard_etal-uncertainty_climate-change-adaptation-MITI343

  e in relatio n to climat echang eadapt ation .X ,X X ,XX X is a ge n era lguid eo n th e relativ e imp ortanc e leve lo fth e sourc es , alth oug h it mus tb e em phasise d tha tth e imp ortanc e o fth e indi vidua lsou rce s o fun certaint y is co n tex tspe cifi c St ep si n cl im at e ch an ge ad ap tat io n an al ys es (ch ain in u n ce rta in ty ca sc ad e, Fi g. 2) So ur ce s o fu n ce rta /media/loftslag/2012-Refsgaard_etal-uncertainty_climate-change-adaptation-MITI343.pdf

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

  individuals act like homo-œconomicus agents (see for example Andreoni 1988; Berg et al. 1995; Camerer 2003; Forsythe et al. 1994; Isaac et al. 1984). Recent developments in public-choice theory have taken a behavioral approach to broaden the analysis of collective action. The introduction of social preferences, such as altruism, inequity aversion or trust, may mean that optimal collective choices /media/loftslag/Public-Choice-2012---Teyssier---Inequity-and-risk-aversion-in-sequential-public-good-games.pdf

• 33. Kok_et_al._TFSC_published_2011

  ]. There is ample experience with backcasting, and consequently much has been said about the underlying principles (e.g. [20]), the methodological 838 K. Kok et al. / Technological Forecasting & Social Change 78 (2011) 835–851 Author's personal copy framework (e.g. [8,30–32]), and practical applications (e.g. [33–35]). Also the combination between backcasting and other types of scenarios has been /media/loftslag/Kok_et_al._TFSC_published_2011.pdf

• 34. Refsgaard_etal-2007-Uncertainty-EMS

  The advantage of Monte Carlo analysis is its general appli- cability and that it does not impose many assumptions on prob- ability distributions and correlations and that it can be linked to any model code. The key limitation is the large run times for computationally intensive models and the huge amount of outputs that are not always straightforward to analyse. 4.8. Multiple model simulation Multiple model /media/loftslag/Refsgaard_etal-2007-Uncertainty-EMS.pdf

• 35. VI_Arsskyrsla_2018_vef

  - politan area to raise the awareness of climate change impacts on local scale. Agreements regarding long-term high-quality operations of weather stations have been made. Tailored services as input into the daily decision making and operations of local governments are also being discussed. IMO is undertaking broad evaluation and gap analysis of the different networks used in monitoring /media/vedurstofan/utgafa/arsskyrslur/VI_Arsskyrsla_2018_vef.pdf

• 36. 2013_001_Nawri_et_al

  and a pressure of 1013.25 hPa. In the case of Iceland, the climate deviates significantly from these standard atmospheric conditions. Additionally, terrain elevation varies considerably across the island. Therefore, seasonal and annual differences in air density from the standard value, as well as spatial variability, need to be taken into account. Approximate air density can be calculated by assuming /media/vedurstofan/utgafa/skyrslur/2013/2013_001_Nawri_et_al.pdf

• 37. VI_2009_006_tt

  lake in a volcanic caldera in the interior of the Vatnajökull ice cap (Björns- son, 1988). Jökulhlaups from Grímsvötn have been known since at least the fourteenth century (Þórarinsson, 1939, 1974). In the beginning of the twentieth century there were about ten years between outbursts but the floods diminished with time and became more frequent. After a catastrophic, rapidly rising flood caused /media/vedurstofan/utgafa/skyrslur/2009/VI_2009_006_tt.pdf

• 38. VI_2020_004

  vedur@vedur.is Veðurstofa Íslands Bústaðavegur 7–9 108 Reykjavík Sara Barsotti, Veðurstofa Íslands Sigrún Karlsdóttir, Veðursstofa Íslands Anna María Ágústsdóttir, Landgræðslan Björn Oddsson, Almannavarnadeild Ríkislögreglustjóra Íris Marelsdóttir, Embætti landlæknis Þorvaldur Þórðarson, Jarðvísindastofnun H áskólans Þórólfur Guðnason, Embætti landlæknis Bogi B. Björnsson, Veðurstofa Íslands /media/vedurstofan-utgafa-2020/VI_2020_004.pdf

• 39. vanRoosmalen_etal-2009-WRR_2007WR006760

  and Irrigationa Scenario Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Current 101 85 59 13
  6
  4
  1 6 39 79 84 97 A2 145 132 73 10
  10
  7
  6
  8 4 75 92 123 B2 137 119 75 16
  6
  6
  6
  5 21 74 110 141 aValues are in millimeters. 10 of 18 W00A15 VAN ROOSMALEN ET AL.: CLIMATE AND LAND USE CHANGE W00A15 time and larger area where groundwater levels rise above the drain levels. Table 6 shows the mean discharges /media/loftslag/vanRoosmalen_etal-2009-WRR_2007WR006760.pdf

• 40. 2010_003rs

  ................ 91 Figure B.5. Rake distribution for mapped faults/clusters in boxes E and F, Brennisteinsfjöll-Bláfjöll. ................................................................................. 92 Figure B.6. Rake distribution for mapped faults/clusters in box G, Ölfus. ......................... 93 Figure B.7. Rake distribution for mapped faults/clusters in box H, Hengill, active between January /media/vedurstofan/utgafa/skyrslur/2010/2010_003rs.pdf