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Results:

• 31. 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

• 32. 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

• 33. Group5-Stakeholders_involvement

  /EPP 2 Stakeholders analysis 26 August 2011 PM/YZ/EPP 3 Stake h o l d e r s P u b l i c / p r i v at e P o w e r l e v e l (“ n u i s an ce” ca p a c i t y ) O r i e n tat i o n H or s t e n s m uni c ipal i t y ( c o m pe t e n t a u t h ori t y ) P u b l i c S t ron g Go v ernanc e N eighbour mun i c i p ali t y P u b l i c S t ron g Go v ernanc e Poli c y /media/loftslag/Group5-Stakeholders_involvement.pdf

• 34. Forecasts - Skarðsfjöruviti

  Forecasts - Skarðsfjöruviti | Station forecasts | Icelandic Meteorological office Forecasts - Skarðsfjöruviti Mon 1.05 14 GMT 8° E 5 Cloud cover: 100% 15 GMT 8° E 6 Cloud cover: 100% 16 GMT 7° E 5 Cloud cover: 100% 17 GMT 7° E 6 Cloud cover: 100% 18 GMT 7° E 6 Cloud cover: 100% 19 /m/forecasts/areas

• 35. Guidelines2-for-rapporteurs

  ). This can be helpful with respect to finding a common structure in presenting as well in session reporting (for which angles mentioned in the opening session statements of the Workshop participants can provide checkpoints).” Session rapporteur allocation M o n d a y 2 9 . 8 Y u a n g Z h e n g A t h a n a s i o s V o t s i s E i v i n d J u n k e r M i c h a e l L a i h o H e c to r /media/loftslag/Guidelines2-for-rapporteurs.pdf

• 36. CES_BioFuels_Flyer_new

  ) and changing climate (CC:CC) 1. Current climate (CU) - varying thinning regimes (0%, 15%, 30%,45%) 2. Changing climate (CC) - varying thinning regimes (0%, 15%, 30%,45%) 3. Current (CU) & changing climate (CC) - current thinning regime 4. Current (CU) & changing climate (CC) - changed thinning regimes C l i m a t e s c e n a r i o s M ea s u r e m en t s o f c l i m a t e p /media/ces/CES_BioFuels_Flyer_new.pdf

• 37. Outline_for_the_case_Road_maintenance_in_a_changing_climate

  course – Adaptive management in relation to climate change – Copenhagen 21-26/8/2011 …………………………………………………………………………………………………………………………………………………………………… 6 Figure 1. Flow chart summarizing information and decision flows of an adaptive management inspired adaptation planning cycle for road transport (at national strategic / tactical level) M a n d a t e f r o m g o v e r n m e n t + p r /media/loftslag/Outline_for_the_case_Road_maintenance_in_a_changing_climate.pdf

• 38. Observations - Reykjavik area - Overview stations

  | Seltjarnarnes - Suðurnes | Skrauthólar | Straumsvík Mon 1.05 14 GMT Arnarnesvegur 5.9° E 5 Max wind : 5 / 8 Garðabær - Urriðaholt 7.5° ENE 2 Max wind : 4 / 7Precip.: 0.0 mm / 1 h Geldinganes 8.3° E 5 Max wind : 5 / 8 Hólmsheiði 6.9° E 6 Max wind : 6 / 10Precip.: 0.0 mm / 1 h Kjalarnes 6.2° WSW 2 Max wind : 4 / 7Road temp. : 16.7° Korpa 7.7° E 5 Max /m/observations/areas

• 39. 2012-Refsgaard_etal-uncertainty_climate-change-adaptation-MITI343

  ORIGINAL ARTICLE The role of uncertainty in climate change adaptation strategies—A Danish water management example J. C. Refsgaard & K. Arnbjerg-Nielsen & M. Drews & K. Halsnæs & E. Jeppesen & H. Madsen & A. Markandya & J. E. Olesen & J. R. Porter & J. H. Christensen Received: 10 November 2011 /Accepted: 4 February 2012 # The Author(s) 2012. This article is published with open access /media/loftslag/2012-Refsgaard_etal-uncertainty_climate-change-adaptation-MITI343.pdf

• 40. esa_flyer_new

  EA Analyse A/S and Optensys Energianalys will forecast energy system variables, while SINTEF Energy Research will make assumptions for the energy system in different cases, include new inputs in the EMPS model and carry out simulations. Cl i ma t e Sc e nar i os G ro u p R i s ø St o c h as t i c v a r i a b l e s Clima t e s c e n a r i o NV E S M H I FE I N o r w a y S w e d e n F inla n /media/ces/esa_flyer_new.pdf