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Results:

• 21. 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

• 22. 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

• 23. 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

• 24. Lorenzoni_Pidgeon_2006

  PUBLIC VIEWS ON CLIMATE CHANGE: EUROPEAN AND USA PERSPECTIVES IRENE LORENZONI and NICK F. PIDGEON∗ Centre for Environmental Risk and Tyndall Centre for Climate Change Research, Zuckerman Institute for Connective Environmental Research, School of Environmental Sciences, University of East Anglia, Norwich NR4 7TJ, UK E-mail: i.lorenzoni@uea.ac.uk Abstract. If uncontrolled, human influences /media/loftslag/Lorenzoni_Pidgeon_2006.pdf

• 25. VI_2015_005

  Franz Josef Land. The western boundary at 71 W excludes Hudson Bay and Foxe Basin, both associated with their own storm climate. Baffin Bay is included in its entirety, since storm activity in that region is closely linked to that over the western North Atlantic (Dacre & Gray, 2009). The eastern boundary at 55 E is chosen to completely include the Barents Sea. This results in an area of 21,625,566 /media/vedurstofan/utgafa/skyrslur/2015/VI_2015_005.pdf

• 26. 2013_001_Nawri_et_al

  is then proportional to the mean cube of wind speed, E = 1 2 r¯ A3G(1+3=k) ; (3) where r¯ is average air density. Wind power density only depends on atmospheric variables, and is therefore most appropriate for turbine-independent evaluations of wind energy potential, such as for wind atlases. To be able to determine the actual power or energy, which can be extracted from the atmosphere, specific information /media/vedurstofan/utgafa/skyrslur/2013/2013_001_Nawri_et_al.pdf

• 27. VI_2016_006_rs

  risk for the purpose of the study of feasible mitigation options presented here. Firstly, there are very large and rapid landslides due to an extensive and deep-seated failure of sediments from a mountainside, similar to landslides that have recently been reported at Stuðlar in Reyðarfjörður, E-Iceland, in November 2002 and in Fagridalur, by Vopnafjörður, E-Iceland in August 2011 /media/vedurstofan-utgafa-2016/VI_2016_006_rs.pdf

• 28. VI_2019_009

  To distinguish between rain and snow, the volume is com- pared to the water equivalent but the volume of snow is ten times larger. Figure 1. How PWD22 determines the type of precipitation. Using the information about the changes of the backscatter signal, water equivalent and temper- ature the Vaisala Present Weather Detector can give information about the type of precipitation. It is also used /media/vedurstofan-utgafa-2019/VI_2019_009.pdf

• 29. VI_2020_004

  /media/vedurstofan-utgafa-2020/VI_2020_004.pdf

• 30. VI_2013_008

  is that it cannot forecast a value lower or larger than recorded in the archive. In order to allow the forecast to exceed these limits, three strategies were tested for rescaling the forecasted streamflow, according to observed streamflow conditions up to current time t: Q(i; t+T ) = liQ(ui+T ) (7) Q(i; t+T ) = giQ(ui+T ) (8) Q(i; t+T ) = aiQb(ui+T )+bi Q(ui+T ) Qb(ui+T ) (9) where li = Q(t) Q(ui) , gi = E /media/vedurstofan/utgafa/skyrslur/2013/VI_2013_008.pdf