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Results:

• 31. VI_2022_006_extreme

  that, the detrended timeseries would have had a net difference of zero if the negative values had not been set back to zero. This shows that over the 39 years of data, there was a slight precipitation increase for this grid-point. This trend has been removed, resulting in a detrended, almost flat dataset. 29 Figure 14. Regression lines for hourly precipitation timeseries of grid-point [100, 100] from /media/vedurstofan-utgafa-2022/VI_2022_006_extreme.pdf

• 32. VI_Arsskyrsla_2018_vef

  grundvelli myndatöku með flygildum og leysimælitæki (TLS) hefur verið notað við kortlagningu flóðfara og við mat á útbreiðslu og umfangi hlaupa. Þétt net jarðskjálftamæla, sem staðsettir eru á jökulskerjum eða grafnir í jökul, hefur gefið góða raun við ákvörðun á dýpi jarðskjálfta undir jöklum. Kvikuhreyfingar hafa þannig verið kortlagðar og myndun gosrása staðfest af meiri nákvæmni en áður. Þó /media/vedurstofan/utgafa/arsskyrslur/VI_Arsskyrsla_2018_vef.pdf

• 33. 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

• 34. 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

• 35. 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

• 36. 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

• 37. 2010_005_

  /media/ces/2010_005_.pdf

• 38. 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

• 39. Daniell_etal-2010

  /media/loftslag/Daniell_etal-2010.pdf

• 40. VI_2014_006

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