85 results were found for r 순천핸플㈎（otam12.com｝♜순천키스방✌순천건마✼순천오피타임✎순천오피✣순천오피.

Results:

• 61. VI_2014_005

  %) Subpolar wetlands: 7,208 km2 (7.5%) Subpolar crops: 2,380 km2 (2.5%) Inland water4: 1,463 km2 (1.5%) 4Including also the coastal lagoon Hópið, and the estuary at Höfn. 9 Inland Water Subpolar Wetlands Subpolar Crops Subpolar Pastures Tundra Sparse Tundra Permanent Snow Vatnajökull Mýrdalsjökull Langjökull Hofsjökull Drangajökull Eyja fjall ajö kul l Reykjanesskagi Sp ren gis an du r /media/vedurstofan/utgafa/skyrslur/2014/VI_2014_005.pdf

• 62. VI_2020_005

  /media/vedurstofan-utgafa-2020/VI_2020_005.pdf

• 63. 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

• 64. 2010_003rs

  .............................................................................. 13 Figure 2.1. The spatial extent of each group is defined by its radius, r, and the overlap by the distance between the groups’ centres, d. .................................. 16 Figure 2.2. Two examples of joint interpretation of event distributions and focal mechanisms. ...................................................................................................... 18 /media/vedurstofan/utgafa/skyrslur/2010/2010_003rs.pdf

• 65. Paper-Olafur-Rognvaldsson_91

  -2B. Mon. Wea. Rev., 132, 2184– 2203. Dickinson, R. E., Errico R. M., Giorgi F. and Bates G. T. 1989. A regional cli- mate model for the western United States. Clim. Change, 15, 383–422. Giorgi, F. 1990. On the simulation of regional climate using a limited area model nested in a general circulation model. J. Climate, 3, 941–963. Giorgi, F., and Mearns L. O. 1999. Introduction to special section /media/ces/Paper-Olafur-Rognvaldsson_91.pdf

• 66. Public-Choice-2012---Teyssier---Inequity-and-risk-aversion-in-sequential-public-good-games

  aversion should influence the first mover’s decision. The 98 Public Choice (2012) 151:91–119 Fi g. 1 O pt im al co n tr ib u tio n de pe nd in g o n α , r an d p Public Choice (2012) 151:91–119 99 Table 1 The predicted effect of intrinsic preferences on first and second movers’ contributions 1st mover 2nd mover Disadvantageous Negative None inequity aversion Advantageous None Positive inequity /media/loftslag/Public-Choice-2012---Teyssier---Inequity-and-risk-aversion-in-sequential-public-good-games.pdf

• 67. ces-oslo2010_proceedings

  Elvehøy, H., Guðmundsson, S., Hock, R., Machguth, H., Melvold, K., Pálsson, F., Radic, V., Sigurðsson, O. and Þorsteinsson, Þ. The impact of climate change on glaciers and glacial runoff in the Nordic countries .......................................... 38 Radic, V. and Hock, R. Volume changes of the glaciers in Scandinavia and Iceland in the 21st century /media/ces/ces-oslo2010_proceedings.pdf

• 68. Perrels-CBA

  (CBA can be subset of SCBA) • CEA: cost-effectiveness analysis – this is used if for (a part of) the intended impacts no (shadow) price can be established (or when that is contentious) 26.8.2011Adriaan Perrels/IL 9 Cost-benefit analysis – the basics 2 • Metrics: • Net present value (NPV) : • Internal Rate of Return (IRR): r = r* such that NPV = 0 • Benefit-Cost Ratio (B/C ratio): • Macro /media/loftslag/Perrels-CBA.pdf

• 69. 2010_005_

  which are significantly lower com- pared with similar beginning and end years. Consequently, for the 2004–50 period, the average RCM warming rates of 0.29 K per decade over the ocean, and 0.35 K per decade over the land are somewhat larger than for the reduced IPCC ensemble mean. Additionally, the tabulated values of SAT differences between the 1961–90 control period and either the 2021–50 /media/ces/2010_005_.pdf

• 70. Mo_Birger_CES_2010

  r lev el , GW h Sweden Reference Echam Hadam 0 14 28 42 52 0 1 2 3 4 5 6 7 104 Week Reservoi r lev el , GW h Norway 0 14 28 42 52 0 500 1;000 1;500 2;000 2;500 3;000 3;500 Week Reservoi r lev el , GW h Finland Sintef Energy Research Quantitative system analysis 11 of 21 Introduction Electricity system model Simulation results Summary and concluding remarks Hydropower Thermal production Energy /media/ces/Mo_Birger_CES_2010.pdf