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Results:

• 11. ces-oslo2010_proceedings

  ............................................................................................................... 8 PAST AND PRESENT CHANGES IN CLIMATE AND HYDROLOGY Dyrrdal, A.V., Vikhamar-Schuler, D., Stranden, H.B. and Skaugen, T. Analysis of past snow conditions in Norway – Time periods 1931-60, 1961-90 and 1979-08 ............................. 10 Crochet, P. Impacts of historic climate variations on streamflow characteristics in Icelandic rivers /media/ces/ces-oslo2010_proceedings.pdf

• 12. Hare-2011-ParticipatoryModelling

  Gov. (2011) DOI: 10.1002/eet 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 Exampl e nam e Purpos e Actor s involve d Participator y modellin g stag e Ty pe of m od el Pa rt ici pa to ry purpos e Dat a D en iti on Co n st ru ct ion Ve ri cation / Va lid a tio n Us e FAB E Grampia n /media/loftslag/Hare-2011-ParticipatoryModelling.pdf

• 13. IPPC-2007-ar4_syr

  Assessment Re- port (AR4). Topic 1 summarises observed changes in climate and their ef- fects on natural and human systems, regardless of their causes, while Topic 2 assesses the causes of the observed changes. Topic 3 pre- sents projections of future climate change and related impacts un- der different scenarios. Topic 4 discusses adaptation and mitigation options over the next few decades /media/loftslag/IPPC-2007-ar4_syr.pdf

• 14. Staff members

  Staff members Sibylle von Löwis of Menar Job title: Coordinator - Weather observation /about-imo/employees/persona/100/fyrirtaeki/2

• 15. VI_2014_001

  W aSiM 95?bh heM Annual max. Q : GEV Distributions for vhm52 Index flood model no. 6 Figure 7. Region 1: Empirical and modeled daily flood frequency distributions (Q(D,T)) at gauged sites vhm51 (top) and vhm52 (bottom). The solid black line corresponds to the reference GEV distribution derived from the observed AMF series. The solid blue line corresponds to the GEV distribution derived from /media/vedurstofan/utgafa/skyrslur/2014/VI_2014_001.pdf

• 16. vonKorff_etal-2010

  Copyright © 2010 by the author(s). Published here under license by the Resilience Alliance. Von Korff, Y., P. d'Aquino, K. A. Daniell, and R. Bijlsma. 2010. Designing participation processes for water management and beyond. Ecology and Society 15(3): 1. [online] URL: http://www. ecologyandsociety.org/vol15/iss3/art1/ Synthesis, part of a Special Feature on Implementing Participatory Water /media/loftslag/vonKorff_etal-2010.pdf

• 17. VI_2015_009

  Figure 5. AMF frequency distributions (Q(D;T ) vs. T ) at target sites treated as ungauged, using best overall index flood model (bµ(D) = q0(AP)q1): vhm59 (top-left), vhm64 (top- right), vhm66 (bottom-left), vhm102 (bottom-right). Solid black line corresponds to the reference GEV distribution fitted to the observed AMF sample. Grey shaded region corre- sponds to the reference 95% CI. Red solid line /media/vedurstofan/utgafa/skyrslur/2015/VI_2015_009.pdf

• 18. Refsgaard_2-uncertainty

  Geological Survey of Denmark and Greenland Ministry of Climate and Energy NONAM PhD course, Copenhagen, August 22-26, 2011 Uncertainty – terminology, concepts, tools and importance in climate change adaptation Jens Christian Refsgaard Acknowledgements • Torben O. Sonnenborg, GEUS • Hans Jørgen Henriksen, GEUS • Anker Lajer Højberg, GEUS • Peter van der Keur, GEUS • Lieke van Roosmalen, Flinders /media/loftslag/Refsgaard_2-uncertainty.pdf

• 19. VI_2017_009

  temperature changes, there will be a clear trend towards warming in the north of Iceland. Snow No glacier model is included in CORDEX and that excludes us from analysing the melting of the glaciers in Iceland. We do, however, have means to estimate snow accumulation and in this section we look into snow cover thickness on top of high mountains in summer. The RCA4 seems to model highly /media/vedurstofan-utgafa-2017/VI_2017_009.pdf

• 20. VI_2015_007

  using best index flood model for each set: µi(D = 0) vs. bµi(D = 0). Solid red line corresponds to the 1:1 line. Top-left: IFM-CLU with model no. 11. Top-right: IFM-ROI with model no. 5. Bottom-left: IFM-WaSiM with model no. 4. 27 4.3.2 Flood quantiles estimation The different variations of the IFM proposed in this study, i.e. IFM-CLU, IFM-ROI and IFM- WaSiM, developed with twelve index flood /media/vedurstofan/utgafa/skyrslur/2015/VI_2015_007.pdf