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Results:

• 11. Alam_Ashraful_CES_2010

  FOREST BIOMASS FOR ENERGY PRODUCTION – POTENTIALS, MANAGEMENT AND RISKS UNDER CLIMATE CHANGE Ashraful Alam, Antti Kilpeläinen, Seppo Kellomäki School of Forest Sciences, University of Eastern Finland, Joensuu F t Cli t d R bl E I t Ri k d Ad t tiu ure Cl ma e an enewa e nergy – mpac s, s s an ap a on Oslo, Norway 2 June, 2010 Contents • Forestry in Finland • Challenges • Objectives /media/ces/Alam_Ashraful_CES_2010.pdf

• 12. VED_AnnualReport-2013_screen

  and our intention is to run these models dur- ing times of hazardous events and even on a daily basis to further improve monitoring. Avalanche monitoring has progressed. The em- phasis is now on improving our services, especially to the Icelandic Road and Coastal Administration with regard to transport. The reason is that com- munity structure has changed considerably in recent years and the need /media/vedurstofan/utgafa/arsskyrslur/VED_AnnualReport-2013_screen.pdf

• 13. Linnet_Ulfar_CES_2010

  2015, 2025, 2035 and 2050 North (Blanda) East (Karahnjukar) South (Thorisvatn) Change in average inflow to the main storage reservoirs Watershed A v e r a g e i n f l o w [ m 3 / s ] 0 2 0 4 0 6 0 8 0 1 0 0 1 2 0 Last 50 years Last 20 years Last 15 years Last 10 years Last 5 years Temperature corrected Transformation of climate measurements •Change in temperature • 0.75 °C/100y 1950-1975 • 1.55 /media/ces/Linnet_Ulfar_CES_2010.pdf

• 14. IPPC-2007-ar4_syr

  TS.1b, TS.2b} Global anthropogenic GHG emissions F-gases CO2 from fossil fuel use and other sources CH4 from agriculture, waste and energy CO2 from deforestation, decay and peat N2O from agriculture and others GtC O 2-eq / y r 28.7 35.6 39.4 44.7 49.0 The largest growth in GHG emissions between 1970 and 2004 has come from energy supply, transport and industry, while resi- dential and commercial /media/loftslag/IPPC-2007-ar4_syr.pdf

• 15. Publications 2022

  in Iceland: Climate projections and historical changes in precipitation type Andréa-Giorgio R. Massad, Guðrún Nína Petersen, Halldór Björnsson, Matthew J. Roberts & Tinna Þórarinsdóttir99 20,6 /about-imo/publications/2022/

• 16. 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

• 17. Public-Choice-2012---McGuiness-and-Walker---Foundations-of-the-Ostrom-workshop---institutional-analysis,-polycentricity,-and-self-governance-of-the-commons

  & Ostrom, E. (2008). Will lessons from small-scale social dilemmas scale up? In A. Biel, D. Eek, T. Gärling, & M. Gustaffson (Eds.), New issues and paradigms in research on social dilemmas (pp. 189–211). Berlin: Springer. Netting, R. McC. (1981). Balancing on an alp: ecological change and continuity in a Swiss mountain com- munity. New York: Cambridge University Press. Olson, M. (1965). The logic /media/loftslag/Public-Choice-2012---McGuiness-and-Walker---Foundations-of-the-Ostrom-workshop---institutional-analysis,-polycentricity,-and-self-governance-of-the-commons.pdf

• 18. AnneFleig_May2010_CES

  E l b e i n D r e s d e n , A p r i l 2 0 0 7 CES conference, Oslo, Norway, 31 May - 2 June 2010 Typical features • develop slowly, • become severe when they cover a large region and persist for an extended period. E l b e i n D r e s d e n , A p r i l 2 0 0 7 ( s p i e g e l . d e ) Anne K. Fleig et al. “Regional hydrological droughts and weather types in north /media/ces/AnneFleig_May2010_CES.pdf

• 19. Lettenmaier_Dennis_CES_2010pdf

  interpolated to VIC scale Regional Bias: spatial example GSM: NCEP Global Spectral Model obs prcp GSM prcp obs temp GSM temp JULY Verification using NCEP Global Spectral Model (GSM) output Process into the daily VIC-scale input time series Force hydrology model to produce streamflow Ohio R. flow @ Metropolis, IL Start with GSM-scale monthly observed T & P (“unbiased”) time series /media/ces/Lettenmaier_Dennis_CES_2010pdf.pdf

• 20. Dyrrdal_Anita_CES_2010

  Results W i n t e r t e m p e r a t u r e Max snow depth Trend slope Number of snow days Period II P e r i o d I I I Max snow depth Number of snow days Norwegian Meteorological Institute met.no Correlation analysis (1961-08) 138 mutual stations Introduction Data & Methods Results Correlation with winter temperature Correlation with winter precipitation In warmer regions both snow parameters /media/ces/Dyrrdal_Anita_CES_2010.pdf