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Results:

• 41. VI_2020_008

  2009–2015. ..... 38 Figure 14. Declustering of the first 1,000 days of data for a randomly selected grid-point using a minimum time window of five days. ..................................................................................... 39 Figure 15. Scatterplots comparing return levels of precipitation based on simulations and observations /media/vedurstofan-utgafa-2020/VI_2020_008.pdf

• 42. ved-eng-2010

  measuring 1.0 mm and more was only 109, i.e. 39 days fewer than the average. This is a typical value in this part of the country. In the north and east the number of precipitation days was about 10 below the normal. Snow The snowfall was exceptionally slight in the south and west, the number of days with total snow cover in Reykjavík was only 16, i.e. 39 days below the 1961 to 1990 average /media/vedurstofan/utgafa/skylduskil/ved-eng-2010.pdf

• 43. VI_2015_009

  by rescaling a dimensionless regional flood frequency distribution or growth curve, qR(D;T ), com- mon to all sites of the homogeneous region, with the so-called index flood, µi(D), of the target site: bQi(D;T ) = µi(D)qR(D;T ); (1) where bQi(D;T ) is the estimated flood quantile, i.e. the T -year flood peak discharge averaged over duration D, at site i. The regional growth curve, qR(D;T /media/vedurstofan/utgafa/skyrslur/2015/VI_2015_009.pdf

• 44. Kok_JGEC658_2009

  to be simple and therefore has important drawbacks. Future improvements should be made in the light of applications within a larger toolbox of scenario methods.  2008 Elsevier Ltd. All rights reserved. * Tel.: +31 317 482422; fax: +31 317 419000. E-mail address: kasper.kok@wur.nl. Contents lists available at ScienceDirect Global Environmental Change journa l homepage: www.e lsev ier .com/ locate /media/loftslag/Kok_JGEC658_2009.pdf

• 45. BIGR_windrose_2005-2014

  (°) Wind speed (knots ) 0 5 10 15 20 0 45 90 135 180 225 270 315 360 N E S W N (Number of observations for wind direction) Icelandic Met Office 02. júl. 2015 23 26 34 38 45 25 16 3 4 58 55 4 3 39 28 30 21 9 9 4 8 8 13 8 1 3 34 24 34 9 7 9 4 4 5 3 6 8 25 Wind rose BIGR March 2005−2014 90 80 70 60 50 40 30 2010360350340 330 320 310 300 290 280 270 260 250 240 230 220 210 /media/vedur/BIGR_windrose_2005-2014.pdf

• 46. Statistical Analysis

  by parametric methods. Hydrology Research 39, 425-436. Jónsdóttir, J. F., Uvo, C. B. (2009). Long-term variability in precipitation and streamflow in Iceland and relations to atmospheric circulation. Int. J. Climatol. 29, 425-436. doi: 10.2166/nh.2008.002. Lawrence, D., Haddeland, I. Uncertainty in hydrological modelling of climate change impacts in four Norwegian catchments. Hydrology Research /ces/publications/nr/1943

• 47. Flood from Skaftá

  /about-imo/news/flood-in-estern-skafta

• 48. Flood from Skaftá

  /about-imo/news/flood-in-estern-skafta/

• 49. BIAR_windrose_2005-2014

  W N (Number of observations for wind direction) Icelandic Met Office 02. júl. 2015 451 6 229 2 148 4 76 4 50 4 43 7 45 2 51 1 49 5 54 6 44 5 58 9 97 8 154 6 247 5 349 0 393 8 450 9 582 4 612 7 432 7 184 8 110 7 70 3 52 8 39 0 33 0 34 5 43 9 83 4 167 5 268 1 325 0 435 3 644 0 606 8 Wind rose BIAR January 2005−2014 90 80 70 60 50 40 30 2010360350340 330 320 310 300 290 280 270 /media/vedur/BIAR_windrose_2005-2014.pdf

• 50. esa_flyer_new

  ) will in general be be better and more consistent when using automatic instead of manual calibration. 10 40 70 1 0 0 0 13 26 39 52 Week Res er voir l ev el (% ) 1 All capacities and costs will be updated to the expected system in 2020. Some uncertainty regarding the amount of new renewable generation and/or climate will be analyzed in different cases. We will make a model for Norway, Sweden /media/ces/esa_flyer_new.pdf