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  • 71. New article on glacier changes in

    and Magnús Tumi Guðmundsson. (2020). Non-surface mass balance of glaciers in Iceland. J. Glaciol. 66, 685–697. doi:10.1017/jog.2020.37Schmidt, L. S., Guðfinna Aðalgeirsdóttir, Finnur Pálsson, Langen, P. L., Sverrir Guðmundsson and Helgi Björnsson. (2019). Dynamic simulations of Vatnajökull ice cap from 1980 to 2300. J. Glaciol. 66, 97–112. doi:10.1017/jog.2019.90 /about-imo/news/new-article-on-glacier-changes-in-iceland-over-the-past-130-years
  • 72. 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
  • 73. Moellenkampetal_etal-2010

  • 74. 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
  • 75. 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
  • 76. 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
  • 77. 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
  • 78. 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
  • 79. 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
  • 80. 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

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