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Results:

• 11. Milly_etal-2008-Stationarity-dead-Science

  ), S. Solomon et al., Eds. (Cambridge Univ. Press, New York, 2007), pp. 1–18; www.ipcc.ch/press/index.htm. 5. IPCC, in Climate Change 2007: Climate Change Impacts, Adaptation and Vulnerability, Contribution of WG2 to AR4, M. L. Parry et al., Eds. (Cambridge Univ. Press, New York, 2007), pp. 1–16. 6. I. M. Held, B. J. Soden, J. Clim. 19, 5686 (2006). 7. T. P. Barnett, J. C. Adam, D. P. Lettenmaier /media/loftslag/Milly_etal-2008-Stationarity-dead-Science.pdf

• 12. Statistical Analysis

  401-412. doi: 10.2166/nh2007.020. Shkolnik I.M., E.K.Molkentin, E.D.Nadezhina, E.I.Khlebnikova, & I.A. Sall. (2008). Temperature extremes and wildfires in Siberia in the 21st century: MGO regional climate model simulation. Russ. Meteorol. Hydrol., 3, pp.5-15. Tallaksen, L.M., Hisdal, H. & van Lanen, H.A.J. (2009). Space-time modelling of catchment scale drought characteristics. Journal /ces/publications/nr/1943

• 13. vanRoosmalen_etal-2009-WRR_2007WR006760

  Impact of climate and land use change on the hydrology of a large-scale agricultural catchment Lieke van Roosmalen,1 Torben O. Sonnenborg,2 and Karsten H. Jensen1 Received 5 December 2007; revised 21 November 2008; accepted 19 January 2009; published 18 March 2009. [1] This paper presents a quantitative comparison of plausible climate and land use change impacts on the hydrology of a large-scale /media/loftslag/vanRoosmalen_etal-2009-WRR_2007WR006760.pdf

• 14. Journal_of_Hydrology_Veijalainen_etal

  annual temperature varied from 5 C to 2 C and precipitation from 450 mm to 700 mm (Drebs et al., 2002). Finland is a long country and the temperature gradient is strong especially in winter (Fig. 1a), which affects the accumula- tion and melting of snow. In south-western Finland the thermal winter lasts on average for 100 days whereas in northern Finland this season is about 100 days longer /media/ces/Journal_of_Hydrology_Veijalainen_etal.pdf

• 15. Outline_for_the_case_Road_maintenance_in_a_changing_climate

  of incremental risks due to climate change effects should factor in the effects of changes in society (e.g. like an ageing population, urban sprawl, etc.) and in technology (such as smart highways and smart cars). NONAM PhD course – Adaptive management in relation to climate change – Copenhagen 21-26/8/2011 …………………………………………………………………………………………………………………………………………………………………… 5 3.Accounting /media/loftslag/Outline_for_the_case_Road_maintenance_in_a_changing_climate.pdf

• 16. vonKorff_etal-2010

  of involvement; and the issues to be addressed. 5. PP 5: Write the participation plan. Convert the previous planning into a coherent written plan explaining the political context, the participation activities that will take place, the sequence of the activities and their interrelationships, and the rationale of the planned decision-making process. The ways in which adaptations to the plan may occur should /media/loftslag/vonKorff_etal-2010.pdf

• 17. Eriksson_Garvill_Nordlund_2006

  freedom to choose travel mode yourself?’ r against INFO/TAX/PUB?’ mildly agree, 5 ¼ strongly agree). ¼ very fair). 0% and 100% meant to cease using the car entirely. degree, 0 ¼ my freedom to choose is not affected, 2 ¼ my freedom to choose is r against, 2 ¼ completely in favor). Table 1 An overview of the measures of attitudinal variables General environmental beliefsa Pro-environmental /media/loftslag/Eriksson_Garvill_Nordlund_2006.pdf

• 18. CES_D2_2_poster_3x3

  CMIP3 Multimodel Dataset: A New Era in Climate Change Research. Bulletin of the Americal Meteorological Society, 88, 1383-1394. Naki enovi , N. and R. Swart (Eds.) 2000: Emission Scenarios. A Special Report of Working Group III of the Intergovernmental Panel on Climate Change. Cambridge University Press, 599 pp. Räisänen, J. and L. Ruokolainen 2006: Probabilistic forecasts of near-term climate /media/ces/CES_D2_2_poster_3x3.pdf

• 19. 2010_005_

  Temperature . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17 4.2 Total Precipitation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19 5 Seasonal Differences in Climate Trends 20 6 Conclusions 21 5 List of Figures 1 Mean annual surface air temperature during the 1961–90 control period, differ- ences in degrees between the control period and the 2021–50 reference /media/ces/2010_005_.pdf

• 20. CES_D2.4_solar_CMIP3

  (an average of 18 mod- els) is depicted in Figs. 3 (in percentage terms) and 4 (in absolute terms). In the relative sense, largest changes occur in winter in central Scandinavia and southern Finland, where more than 5% of incident radiation would be lost (Fig. 3(a)). According to the t test, the signal is statistically significant at the 1% level. Over the Barents Sea, the decline is even larger /media/ces/CES_D2.4_solar_CMIP3.pdf