87 results were found for l 인덕원건마ш“macho2.com〉✮인덕원안마 인덕원업소❆인덕원마사지✴인덕원룸 인덕원건마.

Results:

• 71. ces_flyer_glacierssnowandice

  )  Measured  1997  and  1999  ice  surfaces  of  Lang‐ jökull  and  Hofsjökull,  respectively.  c)  Steady‐state  glacier  geometries after a  few hundred year  spin‐up with  constant  mass balance forcing. Figure 3: Simulated response of Langjökull (L), Hofsjökull (H)  and southern Vatnajökull (V) to climate change. The inset  numbers are projected volumes relative to the initial stable  ice geometries /media/ces/ces_flyer_glacierssnowandice.pdf

• 72. Refsgaard_etal-2007-Uncertainty-EMS

  - - by - . d - al- ral l on on, the l to in r so ip- de- of ) pollution sources and climate data.  Model structure uncertainty is the conceptual uncertainty due to incomplete understanding and simplified descrip- tions of modelled processes as compared to reality.  Parameter uncertainty, i.e. the uncertainties related to pa- rameter values.  Model technical uncertainty is the uncertainty arising /media/loftslag/Refsgaard_etal-2007-Uncertainty-EMS.pdf

• 73. Moellenkampetal_etal-2010

  /media/loftslag/Moellenkampetal_etal-2010.pdf

• 74. Hydropower, Hydrology

  management, XXVI Nordic hydrological conference, Riga, Latvia August 9-11 2010. Nordic hydrological programme report No. 51. p138-139. Kurpniece. L., Lizuma, L., Timuhins, A., KolcovaT., Kukuls, I. (2010). Climate Change Impacts on Hydrological Regime in Latvia. Conference on Future Climate and Renewable Energy, Oslo, May 31-June 2, 2010. Meilutytė-Barauskienė D., Kriaučiūnienė J. & Kovalenkovienė M /ces/publications/nr/1938

• 75. Kjellstrom_Erik_CES_2010

  to c. 10% increase Uncertainty related to choice of GCM • Changing seasonality (2021-2050 vs 1961-1990) in Sweden T2m Precipitation Wind speed Colored lines represent averages over RCMs forced by the same GCM Gray field is max/min of all RCM simulations An example of CC in the next few decades 2011-2040 vs 1961-1990 Why are differences between ensemble members so large? Winter (DJF) M S L P T 2 /media/ces/Kjellstrom_Erik_CES_2010.pdf

• 76. RaisanenJouni_CES_2010

  not representative of present or future climate conditions? Winter mean T in Helsinki (1961-2008) 1961- 20081961- 1990 Temperature (°C) P r o b a b i l i t y d e n s i t y -12 4 Simplest case: change in mean climate, with no change in the magnitude of variability If variability changes as well, the two tails of the distribution (e.g., warm and cold) will be affected differently. IPCC (2001 /media/ces/RaisanenJouni_CES_2010.pdf

• 77. Case_B___Road_transport_operation_and_infrastructure_planning

  variability Models Emission scenarios 2000 2100 LEVEL OF UNCERTAINTY Near future End of the century Natural climate variability + + Climate model sensitivity (+) ++ Emission scenarios ++ Source: J. Räisänen (Univ. of Helsinki) Probabilistic forecasts of temperature change in southern Finland (1971-2000 barb2right 2011-2020) Temperature change (ºC) P r o b a b i l i t y d e n s i t y ( 1 / º C /media/loftslag/Case_B___Road_transport_operation_and_infrastructure_planning.pdf

• 78. Group3-The-future-of-the-Finnish-national-road-network

  The future of the Finnish national road network under changing climate Erik Schou Gudina L. Feyisa Karoliina Pilli-Sihvola NONAM summer school 26.8.2011 Copenhagen Fuzzy cognitive map -1 -0,5 0 0,5 1 1,5 1 3 5 7 9 11 13 15 17 19 21 Traffic Costs Policy CC Policy Traffic Research Tech Strat Nat.feat Costs 1 2 3 4 5 6 7 8 CC 1 0 0,2 0 0 0 0 0 0,7 Policy 2 0 0 -0,6 0,8 0 0 0 0 /media/loftslag/Group3-The-future-of-the-Finnish-national-road-network.pdf

• 79. CES_D2.4_VMGO

  L. Michaelis, S. Mori, T. Morita, W.Pepper, H. Pitcher, L. Price, K. Raihi, A. Roehrl, H.-H. Rogner, A. Sankovski, M.Schlesinger, P.Shukla, S. Smith, R. Swart, S. van Rooijen, N. Victor, Z. Dadi, 2000: IPCC Special Report on Emission Scenarios. Cambridge University Press, United Kingdom and New York, NY, USA. a) b) c) Fig.1 Change of annual extreme temperature range /media/ces/CES_D2.4_VMGO.pdf

• 80. PhD_course-Programme_26Aug2011-final

  Perez P, Burn S (2010) Co-engineering participatory water management processes: theory and insights from Australian and Bulgarian interventions. Ecology and Society 15(4):11 http://www.ecologyandsociety.org/vol15/iss4/art11 Eriksson L, Garvill J, Nordlund AM (2006). Acceptability of travel demand management measures: The importance of problem awareness, personal norm, freedom, and fairness /media/vedurstofan/PhD_course-Programme_26Aug2011-final.pdf