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Results:

• 11. VI_2009_006_tt

  to theoretical framework. I do also want to thank him for an enjoyable time during this work, both in the office and in the field. This work was carried out as a part of the Skaftá cauldrons research project which was funded and supported by the Icelandic Centre For Research (RANNÍS), Kvískerja- sjóður, the NASA Astrobiology Institute, Landsvirkjun (the National Power Com- pany), the National Energy /media/vedurstofan/utgafa/skyrslur/2009/VI_2009_006_tt.pdf

• 12. 2010_005_

  which are significantly lower com- pared with similar beginning and end years. Consequently, for the 2004–50 period, the average RCM warming rates of 0.29 K per decade over the ocean, and 0.35 K per decade over the land are somewhat larger than for the reduced IPCC ensemble mean. Additionally, the tabulated values of SAT differences between the 1961–90 control period and either the 2021–50 /media/ces/2010_005_.pdf

• 13. VI_2015_005

  This is also the case with cyclones in all three sectors. Cyclones in the eastern or western sector are also strongly affected by the presence of central cyclones. In both sectors, cyclones tend to move east, unless there are cyclones in the neighbouring sector, in which case pressure tendencies are reversed. 21 Figure 10. Composite mean temporal MSLP tendencies, for different MSLP modes. Com- posite mean /media/vedurstofan/utgafa/skyrslur/2015/VI_2015_005.pdf

• 14. 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

• 15. 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

• 16. VI_2016_006_rs

  Such landslides fall from a comparatively high elevation, cause extensive disruption and upheaval of loose materials and soils in their way, and can travel considerable distances uphill against opposing slopes. Secondly, there are medium-sized or large, rapid debris flows that are released from com- paratively high elevations and are confined to gullies as they travel down the mountain- side, similar /media/vedurstofan-utgafa-2016/VI_2016_006_rs.pdf

• 17. VI_2013_008

  systematically underestimated. The bias is not as pronounced for the non glacial rivers. Com- bining synoptic-scale and basin-scale predictors (method 3) leads to a substantial improvement compared to the use of MSLP fields alone (method 1). Analogue forecasts become similar or better than persistence, depending on catchment and lead time. Usually, persistence performs better for T=1 day and then method 3 /media/vedurstofan/utgafa/skyrslur/2013/VI_2013_008.pdf

• 18. VI_2014_006

  the com- plexity of the hydrological processes through modelling, but its application is usually limited to the short-range. Although the results demonstrated a great potential for this method, its success- ful application in real-time will strongly depend on the quality and availability of streamflow observations, which can be poor or simply missing during periods of variable durations, e.g /media/vedurstofan/utgafa/skyrslur/2014/VI_2014_006.pdf

• 19. VanderKeur_etal-2008-Uncertainty_IWRM-WARM

  tg ui da n ce fo rt ra ns bo un da ry w at er s, pr ep ar ed an d P. van der Keur et al. (floo dmanag ement )an d wat er qualit y ag re ed u po n in co m m o n u n de rs ta nd in g, creat ed th e bas is fo rth e formul atio n o f joi nt m ea su re s (Fr ijte rs an d Le en tv aa r 200 3) Mo del s (na tural ,te chnica l an d so ci al sy ste m s): Uncert aint y ha s to be incorp orated : 1: Ep ist /media/loftslag/VanderKeur_etal-2008-Uncertainty_IWRM-WARM.pdf

• 20. Refsgaard_2-uncertainty

  Delta Change Method (correction of observed precipitation) Transformation of precipitation cont fut obsfut M M PP = Observeret n dbør 0 5 10 15 20 25 30 1-12-99 11-12-99 21-12-99 31-12-99 Dato N ed bø r (m m /d ag ) Observeret Skal ring af e 5 10 15 20 25 30 35 4 - - - - t N ed bø r (m m /d ag ) Observeret D lta Change Critical assumption: Future dynamics = present dynamics No change in number /media/loftslag/Refsgaard_2-uncertainty.pdf