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Results:

• 1. 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

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

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

• 3. 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

• 4. VI_2020_005

  /media/vedurstofan-utgafa-2020/VI_2020_005.pdf

• 5. Journal_of_Hydrology_Veijalainen_etal

  /media/ces/Journal_of_Hydrology_Veijalainen_etal.pdf

• 6. 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