82 results were found for D 정보이용료현금화 [문의카톡 1SEC] 티켓타카 E 정보이용료현금화 전문 포탈 콘텐츠이용료현금👫couchant/.

Results:

• 51. Publications

  )] [Report (low resolution 4 MB)] Carlsson, B., Graham, L. P., Andréasson, J., & Rosberg, J. (2005). Exploring the range of uncertainty in climate change impacts on runoff and hydropower for the Luleälven River. Presented at the 15th International Northern Research Basins Symposium and Workshop, Luleå to Kvikkjokk, Sweden, Aug 29 - Sept 2. 9-20. [Paper] Demers, D., & Roy, R. (2006). Impacts of climate /climatology/research/ce/publications/

• 52. PhD_course-Programme_26Aug2011-final

  Christian Refsgaard, GEUS All week AP Adriaan Perrels, FMI All week SK Sigrún Karsldóttir, IMO All week FU Frederik Uldal, University of Copenhagen Logistic support Course material Papers and book chapters - recommended reading Henriksen HJ, Barlebo HC (2008) Reflections on the use of Bayesian belief networks for adaptive management. Journal of Environmental Management, 88, 1025- 1036. doi:10.1016 /media/vedurstofan/PhD_course-Programme_26Aug2011-final.pdf

• 53. Nordic_Adaption_14_2cir

  Juhola (FIN)  Sigrun Karlsdottir (IS)  Halldór Björnsson (IS)  Richard Klein (S)  Rik Leemans (NL)  Henrik Madsen (DK)  Anil Markandya (E)  Jørgen E. Olesen (DK)  Adrian Perrels (FIN)  John Porter (DK)  Markku Rummukainen (S)  Hans von Storch (D) ORGANIZERS ? S PONSORS 2nd Announcement and Call for Papers 2nd Announcement and Call for Papers www.nordicadaptation2014.net /media/loftslag/myndasafn/Nordic_Adaption_14_2cir.pdf

• 54. 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

• 55. VI_2014_006

  l l l l 5 10 15 20 − 1. 0 − 0. 8 − 0. 6 − 0. 4 − 0. 2 0. 0 method De g. C el siu s ME T2m − Analysis l vhm10 vhm19 vhm26 vhm64 vhm66 l l l l l l l l l l l l l l l l l l l l 5 10 15 20 2. 0 2. 2 2. 4 2. 6 2. 8 3. 0 method D eg . C el siu s RMSE T2m − Analysis l vhm10 vhm19 vhm26 vhm64 vhm66 Figure 3. Results of intercomparison of twenty different analogue methods. Mean error (left) and RMSE /media/vedurstofan/utgafa/skyrslur/2014/VI_2014_006.pdf

• 56. Henriksen_Barlebo-2008-AWM_BBN-Journ_Env_Management

  Journal of Environmental Management 88 Heid , Øste d e A broad range of tools are available for integrated water resource management (IWRM). In the EU research project NeWater, a Human dependence on water leaves us vulnerable to climate change, flood and drought hazards, and poverty dynamic element of vulnerable groups and their relation- ship to water resources, and to represent the decisions /media/loftslag/Henriksen_Barlebo-2008-AWM_BBN-Journ_Env_Management.pdf

• 57. Water_resources_man_Veijalainen_etal

  Based on a report by Verta et al. (2007) 92. 5 93. 0 93. 5 94. 0 94. 5 95. 0 M A MJ F J J A S O N D Mean 19702000 Min and max 1970–2000, natural rating curve Target water level zone 1 Target water level zone 2 Q=+20% Q=+10% Q= 0% Q=15% Q=30% 92.90 m snow target 1 92.70 m snow target 2 Water level (m ) Month the regulation limits Lake Syväri has target water level zones, which are not legally /media/ces/Water_resources_man_Veijalainen_etal.pdf

• 58. 2010_003rs

  A (A1, A2, A3). ........................................................................................... 89 Figure B.2. Rake distribution for mapped faults/clusters in box B, Fagradalsfjall-W. ...... 90 Figure B.3. Rake distribution for mapped faults/clusters in box C, Fagdaralsfjall-E. ....... 90 Figure B.4. Rake distribution for mapped faults/clusters in box D, Kleifarvatn /media/vedurstofan/utgafa/skyrslur/2010/2010_003rs.pdf

• 59. Paper-Olafur-Rognvaldsson_91

  The role of orography was found to be crucial in determining the precipitation dis- tribution and amount. Atmospheric flow over Iceland was simulated for the period January 1961 through June 2006 using version 3–7–3 of the PSU/NCAR MM5 mesoscale model (Grell et al., 1995). The domain used is 123× 95 points, centered at 64◦ N and 19.5◦ W, with a horizontal resolution of 8 km. There are 23 vertical /media/ces/Paper-Olafur-Rognvaldsson_91.pdf

• 60. Gudmundsson-etal-2011-PR-7282-26519-1-PB

  ; (1) where N is the number of years between the elevation maps, A1 is the average area (m2) of the ice cap over N years, r is the scaling factor from the density of ice (900 kg m3) to water (1000 kg m3), DV D ¯hA2; (2) is the total volume loss (m3), D ¯h is the N year area- average elevation change (m) for the whole ice cap and A2 is the maximum area (m2) of the ice cap. In this study we use /media/ces/Gudmundsson-etal-2011-PR-7282-26519-1-PB.pdf