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Results:

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

  -corrected SPOT 5 high-resolution geometric (HRG) images with 2.5 m 2.5 m spatial resolution, acquired in the autumn 2003 and (4) airborne polarimetric synthetic aperture radar images observed simultaneously to the 1998 EMISAR images and the EMISAR DEM viewed as a shaded relief image (Magnu´sson et al. 2005b). We estimate the average specific net mass balance (in m yr1 w. eq.) as bn r DV A1  N /media/ces/Gudmundsson-etal-2011-PR-7282-26519-1-PB.pdf

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

  (DGPS) equipment in 2001. Continuous profiles, approximately 1 km apart, were measured in the accumulation zone and a dense net- work of point measurements were carried out in the abla- tion zone. Digital Elevation Models (DEMs) of the surface and bedrock were created from these data (Fig. 2; Björns- son and Pálsson, 2004). The estimated errors are at most 1–5 m (bias less than 1 m) for the surface /media/ces/Adalgeirsdottir-etal-tc-5-961-2011.pdf

• 3. 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

• 4. vanRoosmalen_etal-2009-WRR_2007WR006760

  1998] and RCM output such as incoming and outgoing, short- and long-wave radiation, temperature, water vapor pressure, and wind speed: ETref ¼ 0:408D Rn
  Gð Þ þ g 900T þ 273 u2 es
  eað Þ Dþ g 1þ 0:34u2ð Þ ð3Þ where ETref is reference evapotranspiration (mm d
  1), Rn is net radiation at the crop surface (MJ m
  2 d
  1), G is soil heat flux density (MJ m
  2 d
  1), T is mean daily air temperature at 2 m /media/loftslag/vanRoosmalen_etal-2009-WRR_2007WR006760.pdf

• 5. 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

• 6. Journal_of_Hydrology_Veijalainen_etal

  precipitation and time of year (an index for available net radiation) (Vehviläinen and Huttunen, 1997). This equation has been calibrated and verified against observations of Class A pan evaporation values (Vehviläinen and Huttunen, 1997). The actual evaporation is calculated from potential evapora- tion and the soil moisture deficit. The changes in temperature and precipitation affect /media/ces/Journal_of_Hydrology_Veijalainen_etal.pdf

• 7. 2010_005_

  /media/ces/2010_005_.pdf

• 8. 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

• 9. Daniell_etal-2010

  /media/loftslag/Daniell_etal-2010.pdf

• 10. VI_2014_006

  /media/vedurstofan/utgafa/skyrslur/2014/VI_2014_006.pdf