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  • 31. Refsgaard_2-uncertainty

    and precipitation Blue: Uncertainty due to climate models (GCMs) Green: Uncertainty due to GHG emission scenarios Orange : Uncertainty due to internal (natural) variability Uncertainty in climate change adaptation - General mapping Refsgaard et al (in preparation) CRES www.cres-centre.dk Steps in climate change adaptation analyses (chain in uncertainty cascade) Sources of uncertainty Nature of uncertainty /media/loftslag/Refsgaard_2-uncertainty.pdf
  • 32. 2012-Refsgaard_etal-uncertainty_climate-change-adaptation-MITI343

    with respect to risk level and dominating uncertainty following the uncertainty terminology outlined in Section 2, while the adaptation options are characterised according to cost level (High/Medium Low) and the classification outlined in Section 3. The three cost levels apply for internal comparisons within each of the four sectors, but may not be applicable for comparisons from one table to another. 4.2.1 /media/loftslag/2012-Refsgaard_etal-uncertainty_climate-change-adaptation-MITI343.pdf
  • 33. Eriksson_Garvill_Nordlund_2006

    -orientation. Subsequently, a mean for the 15 NEP items was calculated for each respondent, represent- ing a measure of pro-environmental orientation (Dunlap et al., 2000). The scale had a reasonably high internal consistency (a ¼ 0:77). Problem awareness was calculated using the mean of the five items regarding the extent to which private car use was perceived as a global, local, and personal threat /media/loftslag/Eriksson_Garvill_Nordlund_2006.pdf
  • 34. VI_2015_006

    Therefore, forecast hours 24 – 48 of the later runs are used here, during which all effects of the atmospheric initialisation process have been eliminated, and the model has completely adjusted to its own internal reality. 7 2 Test cases This section provides a brief summary of the large-scale atmospheric conditions on the three days considered in this study, with an emphasis on clouds /media/vedurstofan/utgafa/skyrslur/2015/VI_2015_006.pdf
  • 35. D2.3_CES_Prob_fcsts_GCMs_and_RCMs

    uncertainty that results from our incomplete understanding, and incomplete capability to describe in climate models, the dynamics of the climate system that determine its response to changes in external forcing. z Natural climate variability, resulting in part from variations in solar and volcanic activity but at least as importantly from the internal dynamics of the climate system /media/ces/D2.3_CES_Prob_fcsts_GCMs_and_RCMs.pdf
  • 36. raisanen_ruosteenoja_CES_D2.2

    in external forcing. z Natural climate variability, resulting in part from variations in solar and volcanic activity but at least as importantly from the internal dynamics of the climate system, will continue alongside the gradual anthropogenic climate changes. Figure 1.1. A schematic view of sources of uncertainty in climate change as a function of time (see text for further discussion /media/ces/raisanen_ruosteenoja_CES_D2.2.pdf
  • 37. VanderKeur_etal-2008-Uncertainty_IWRM-WARM

    be correct and that science therefore has not yet discovered what mechanisms or internal system feedbacks, or other factors were overlooked. Furthermore, when epistemic uncertainty is related to the different views and perspectives the various stakeholders have (i.e., multiple frames), reducing uncertainty by gathering more data or performing further analyses is not feasible. In such cases, a common /media/loftslag/VanderKeur_etal-2008-Uncertainty_IWRM-WARM.pdf
  • 38. 2010_005_

    –3 K during summer (corresponding approximately to 0.3–0.6 K per decade during winter, and 0.2–0.3 K per decade during summer). The amount of warming was greater for the high than for the low emissions scenarios, as was the model spread. Furthermore, there was greater model spread and internal model variability in the wintertime results compared with those for summer. For the highest emitting /media/ces/2010_005_.pdf
  • 39. VI_arsskyrsla2020

  • 40. Adalgeirsdottir-etal-tc-5-961-2011

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