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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. Latest news on the eruption at Reykjanes peninsula

  /about-imo/news/a-new-eruption-has-started-at-fagradalsfjall

• 34. Lorenzoni_Pidgeon_2006

  level, surveys commissioned by the European Com- munity/the European Union provide an indication of trends in concern about cli- mate change. Since 1992, such surveys have been undertaken among representative samples of citizens in its Member States, and specifically on topics related to the environment (Special Eurobarometers (EB) in 1992, 1995, 2002; and a Flash EB in 2002). These have included /media/loftslag/Lorenzoni_Pidgeon_2006.pdf

• 35. Linnet_Ulfar_CES_2010

  °C/100y 1975-2000 • 2.35 °C/100y 2000- •Change in precipitation • Average increase 4.8% / 100 y • Range 3.3 – 7.2 % •Glaciers • Results from CES • 25% decrease in volume from 2000 to 2050 Temperature transformation Com parison of series 10000 12000 14000 16000 18000 20000 22000 1 9 5 0 1 9 5 2 1 9 5 4 1 9 5 6 1 9 5 8 1 9 6 0 1 9 6 2 1 9 6 4 1 9 6 6 1 9 6 8 1 9 7 0 1 9 7 2 1 9 7 4 1 9 7 6 1 9 7 8 1 /media/ces/Linnet_Ulfar_CES_2010.pdf

• 36. ECONOMIC_EFFECTS_OF_CLIMATE_CHANGE_ON_THE_TOURISM_SECTOR_IN_SPAIN

  /lexuriserv/lexuriserv.do?uri=com:2007:0002:FIN:EN:PDF, 13 April 2009. [2] WTO, World Tourism Organization (2008): “Climate Change and Tourism - Responding to Global Challenges”, UNWTO, 9 July 2008, Madrid, Spain. Available at: http://www.unwto.org/media/news/en/press_det.php?id=1411&idioma=E, 7 March 2010. [3] Mooney, J.E. y Miller, M.L. (2009): “Climate change: Creating demand for sustainable /media/loftslag/ECONOMIC_EFFECTS_OF_CLIMATE_CHANGE_ON_THE_TOURISM_SECTOR_IN_SPAIN.pdf

• 37. Huntjens_etal-2010-Climate-change-adaptation-Reg_Env_Change

  at the operational/local level. A calibrated approach (standardized questionnaires and interviews, expert judgment, and reinterpretation of out- comes by means of relevant literature) was used to com- pare the state of affairs in water management in the selected case-studies. Adaptive and integrated water management Given the expected increase of climate-related extreme events, water governance capabilities /media/loftslag/Huntjens_etal-2010-Climate-change-adaptation-Reg_Env_Change.pdf

• 38. CES_D2_2_poster_3x3

  CMIP3 Multimodel Dataset: A New Era in Climate Change Research. Bulletin of the Americal Meteorological Society, 88, 1383-1394. Naki enovi , N. and R. Swart (Eds.) 2000: Emission Scenarios. A Special Report of Working Group III of the Intergovernmental Panel on Climate Change. Cambridge University Press, 599 pp. Räisänen, J. and L. Ruokolainen 2006: Probabilistic forecasts of near-term climate /media/ces/CES_D2_2_poster_3x3.pdf

• 39. VI_2019_009

  To distinguish between rain and snow, the volume is com- pared to the water equivalent but the volume of snow is ten times larger. Figure 1. How PWD22 determines the type of precipitation. Using the information about the changes of the backscatter signal, water equivalent and temper- ature the Vaisala Present Weather Detector can give information about the type of precipitation. It is also used /media/vedurstofan-utgafa-2019/VI_2019_009.pdf

• 40. VI_2020_004

  .................... 85 8 Figure 57 50% PM10 probability map for an eruption like 1362 at Öræfajökull ..................... 86 Figure 58 The probability of exceedance curve at key locations (Öræfajökull) ...................... 87 Figure 59 Tephra accumulation rate on the ground on 7 May 1982 (Öræfajökull) ................. 88 Figure 60 Tephra accumulation rate on the ground on 5 May 1981 (Öræfajökull /media/vedurstofan-utgafa-2020/VI_2020_004.pdf