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Results:

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

  /media/ces/Adalgeirsdottir-etal-tc-5-961-2011.pdf

• 2. Journal_of_Hydrology_Veijalainen_etal

  /media/ces/Journal_of_Hydrology_Veijalainen_etal.pdf

• 3. vanRoosmalen_etal-2009-WRR_2007WR006760

  correlated, making the uncertainty of the changes much smaller than the uncertainty of the absolute values. How- ever, it is very difficult to quantify the uncertainty in the simulated changes. In the discussion in this paper we elaborate on the uncertainties related to the climate scenar- ios and data, the data transfer method, and the hydrological model structure, while here we focus /media/loftslag/vanRoosmalen_etal-2009-WRR_2007WR006760.pdf

• 4. CES_D2.4_solar_CMIP3

  -2049. Projections are based on simulations performed with 18 global climate models under the SRES A1B, A2 and B1 greenhouse gas scenar- ios. To facilitate reading the report, only the most essential diagrams and maps are included in the main text, additional material being positioned in the appendix. 1 MODELLED SOLAR RADIATION DATA The quantity examined is incident solar radiation (also termed /media/ces/CES_D2.4_solar_CMIP3.pdf

• 5. 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

• 6. 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

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

  Icelandic glaciers. Jo¨kull 58, 365
  386. Bjo¨rnsson H., Pa´lsson F. & Haraldsson H.H. 2002. Mass balance of Vatnajo¨kull (1991
  2001) and Langjo¨kull (1996
  2001), Iceland. Jo¨kull 51, 75
  78. Bouillon A., Bernard M., Gigord P., Orsoni A., Rudowski V. & Baudoin A. 2006. SPOT 5 HRS geometry performance: using block adjustments as a key issue to improve quality of DEM generation. ISPRS Journal /media/ces/Gudmundsson-etal-2011-PR-7282-26519-1-PB.pdf

• 8. Refsgaard_etal-2007-Uncertainty-EMS

  provide tables and figures incor- porating numerical data often generated by sophisticated models. Finally, scenarios can be surprise-free or trend scenar- ios, that extend foreseen developments, on the one hand or in- clude surprises and exploring the extremes (e.g. best case/ worst case) on the other hand. Scenarios can ensure that assumptions about future devel- opments are made transparent /media/loftslag/Refsgaard_etal-2007-Uncertainty-EMS.pdf

• 9. 2010_005_

  /media/ces/2010_005_.pdf

• 10. 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