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  • 21. VI_2014_005

    and direction, as well as air temperature, from the IMO operational surface station net- work. Most anemometers are installed at 10 m above ground level (mAGL). However, at some stations, surface winds are measured at different heights, h, varying between 4.0 and 18.3 m. 3This is done using a GRIB-API command on Parameter 141 (snow depth) in the earliest boundary data file: grib_set -f -d 0.0 -w /media/vedurstofan/utgafa/skyrslur/2014/VI_2014_005.pdf
  • 22. VI_2020_005

  • 23. 2010_017

    of radiation are added to a classic degree-day model. For infiltration, a methodology of Peschke, based on the approach of Green and Ampt, was used. To calculate the fluxes within the unsaturated soil zone, the Richards equation was used. The groundwater table was modelled in both the unsaturated zone module and the groundwater module. The coupling between both modules was done by a net /media/ces/2010_017.pdf
  • 24. Group4

    ); new long-term investment strategy prioritizing low- or zero-net carbon forms of mobility 2040 Modal shift in logistics chains, especially within heavy industry. 3.3 Backcasting scenario narrative Low-Impact Mobility Project Evaluation (LIMPE) Climate change is occurring. Is it natural or anthropogenic? It doesn’t matter. Even though the future is inherently uncertain, one certainty /media/loftslag/Group4.pdf
  • 25. Outline_for_the_case_Road_maintenance_in_a_changing_climate

    NONAM PhD course – Adaptive management in relation to climate change – Copenhagen 21-26/8/2011 …………………………………………………………………………………………………………………………………………………………………… 1 Outline for the case Road maintenance in a changing climate Introduction Roads and transport systems are vulnerable to climate change impacts (VTT 2011; Koetse and Rietveld, 2009; Regmi & Hanaoka, 2011; Road ERA-net 2009 & 2010 /media/loftslag/Outline_for_the_case_Road_maintenance_in_a_changing_climate.pdf
  • 26. Climatic-Change-2012---Personality-type-differences-between-Ph.D.-climate-experts-and-general-public---implications-for-communication

    RM, Capraro MM (2002) Myers-Briggs Type Indicator score reliability across studies: a meta-analytic reliability generalization study. Educ Psychol Meas 62:590–602 Carlson JG (1985) Recent assessments of the Myers-Briggs Type Indicator. J Personal Assess 49:356–365 Carlyn M (1977) An assessment of the Myers-Briggs Type Indicator. J Personal Assess 41:461–473 Clack GB, Allen J, Cooper D et al (2004 /media/loftslag/Climatic-Change-2012---Personality-type-differences-between-Ph.D.-climate-experts-and-general-public---implications-for-communication.pdf
  • 27. VI_2014_006

    the com- plexity of the hydrological processes through modelling, but its application is usually limited to the short-range. Although the results demonstrated a great potential for this method, its success- ful application in real-time will strongly depend on the quality and availability of streamflow observations, which can be poor or simply missing during periods of variable durations, e.g /media/vedurstofan/utgafa/skyrslur/2014/VI_2014_006.pdf
  • 28. 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
  • 29. VI_2015_009

    J600v berg 2.utg) were also used in this study. Table 1. Main characteristics of river basins used in this study. River Name Type Area Mean Percentage Mean annual Period / (km2) elevation glacier precipitation for Gauging (m a.s.l) (mm) streamflow station (1961-2014) data vhm59 Ytri-Rangá L 622 365 0 1564 1961–2014 vhm64 Ölfusá L+D+J+S 5687 480 12.2 2003 1950–2014 vhm66 Hvítá (Borgarfirði) L+J 1577 /media/vedurstofan/utgafa/skyrslur/2015/VI_2015_009.pdf
  • 30. ces-glacier-scaling-memo2009-01

    in Norway was provided by the Norwegian Water Resources and Energy Directorate (NVE). TóJ 12 5.12.2009 Memo References Bahr, D. B., M. F. Meier and S. D. Peckham. 1997. The physical basis of glacier volume–area scaling. J. Geophys. Res., 102(B9), 20,355–20,362. Björnsson, H., and F. Pálsson. 2008. Icelandic glaciers. Jökull, 58, 365–386. Fenger, J. (Ed.). 2007. Impacts of Climate Change on Renewable /media/ces/ces-glacier-scaling-memo2009-01.pdf

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