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Results:

• 31. Hare-2011-ParticipatoryModelling

  support ) Improv e mode l (integration) ; socia llea rnin g Farmers ,loca l aut horities , association s NO P IN D Cognitiv e mappin g HE T GM B NO P HE T Simulation - by-han d OT :Researcher s KA F F Iska r (Phas e1 ) Co n ce pt u al m o de l (D is cu ss io n su pp o rt ; Com m unication ) Improv e mode l (integration) ; socia llea rnin g Nationa l poli cy-maker s NO P IN D Cognitiv e mappin g HE /media/loftslag/Hare-2011-ParticipatoryModelling.pdf

• 32. Outline_for_the_case_Road_maintenance_in_a_changing_climate

  NONAM PhD course – Adaptive management in relation to climate change – Copenhagen 21-26/8/2011 …………………………………………………………………………………………………………………………………………………………………… 1 Outline for the case Road maintenance in a changing climate Introduction Roads and transport systems are vulnerable to climate change impacts (VTT 2011; Koetse and Rietveld, 2009; Regmi & Hanaoka, 2011; Road ERA-net 2009 & 2010 /media/loftslag/Outline_for_the_case_Road_maintenance_in_a_changing_climate.pdf

• 33. Perrels-CBA

  operational cost, etc.) and the annual revenues • consider an appropriate discount rate and assess NPV (net present value), IRR (internal rate of return), and net cash flows • rank alternatives by score level • SCBA: social CBA – total benefits -/- total costs for society, in this case benefits and costs often don’t accrue (entirely) to the same organisation due to the public nature of a project /media/loftslag/Perrels-CBA.pdf

• 34. ces_geus_paakitsoq_full_report

  ) is shown. At the margin the grid boxes of the RCAO RCM are visible. The area between Illulisat and Swiss camp is commonly called Paakitsôq. respectively. The Automatic Weather Stations (AWS) Swiss Camp and Crawford are located on the ice sheet and are operated by the Greenland Climate Network (GC-net) (Steffen and Box, 2001). The locations of the stations are indicated in Fig. 1, further details /media/ces/ces_geus_paakitsoq_full_report.pdf

• 35. 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

• 36. 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

• 37. 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

• 38. 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

• 39. 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

• 40. 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