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Results:

• 41. VanderKeur_etal-2008-Uncertainty_IWRM-WARM

  tg ui da n ce fo rt ra ns bo un da ry w at er s, pr ep ar ed an d P. van der Keur et al. (floo dmanag ement )an d wat er qualit y ag re ed u po n in co m m o n u n de rs ta nd in g, creat ed th e bas is fo rth e formul atio n o f joi nt m ea su re s (Fr ijte rs an d Le en tv aa r 200 3) Mo del s (na tural ,te chnica l an d so ci al sy ste m s): Uncert aint y ha s to be incorp orated : 1: Ep ist /media/loftslag/VanderKeur_etal-2008-Uncertainty_IWRM-WARM.pdf

• 42. 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

• 43. 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

• 44. 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

• 45. Hare-2011-ParticipatoryModelling

  stage )Suppor t an d ski lls n ee de d Har e et a l. (2003 ) X X An aly se lin ks be tw ee n participator y structur e an d proces s implementatio n Ba rr et ea u et a l. (2010 ) X X X Pr o vid e cle ar de sc rip tio n o fproces s (m an ag e ex pe ct at io n s); monitorin g an d evaluatio n Bot s an d va n Daale n (2008 ) X X X X X Su pp o rt pr o ce ss de sig n Ad ap te d fra m ew o rk u se d in th /media/loftslag/Hare-2011-ParticipatoryModelling.pdf

• 46. Refsgaard_2-uncertainty

  Delta Change Method (correction of observed precipitation) Transformation of precipitation cont fut obsfut M M PP = Observeret n dbør 0 5 10 15 20 25 30 1-12-99 11-12-99 21-12-99 31-12-99 Dato N ed bø r (m m /d ag ) Observeret Skal ring af e 5 10 15 20 25 30 35 4 - - - - t N ed bø r (m m /d ag ) Observeret D lta Change Critical assumption: Future dynamics = present dynamics No change in number /media/loftslag/Refsgaard_2-uncertainty.pdf

• 47. VED_AnnualReport-2013_screen

  as river discharge and water levels. Notices on avalanches and sea-ice are shown; short articles and news are presented. Furthermore, web and data portals can be accessed through the web, which is available in both Icelandic and English. IMO uses the social networking website Facebook for communication and feed-back. A new web-application (App) provides access to forecasts and warnings /media/vedurstofan/utgafa/arsskyrslur/VED_AnnualReport-2013_screen.pdf

• 48. 2012-Refsgaard_etal-uncertainty_climate-change-adaptation-MITI343

  sr el at ed to ag ric ul tu re in D en m ar k Cl im at e ch an ge im pa ct Adaptatio n Typ e o f proble m Conse quenc e Ris k leve l Dom inatin g uncertaint y Optio n Cos t leve l Inten t Actio n Tempora l scop e Spatia l scop e Additiona luncertaint y Sou rc e Natur e Sourc e Natur e In cr ea se d su m m er drought san d highe r w at er re qu ire m en ts caus e by longe rcro p growt h durat io n /media/loftslag/2012-Refsgaard_etal-uncertainty_climate-change-adaptation-MITI343.pdf

• 49. VI_arsskyrsla2020

  meðallagi á árinu. Mikið norðanóveður gekk yfir landið dagana 10. til 11. desember sem olli miklu tjóni. Verst var veðrið á Ströndum, Norðurlandi vestra og Norðurlandi eystra. Mikil ísing og fannfergi fylgdu óveðrinu sem olli því að hundrað hross fennti í kaf, skemmdir urðu á rafmagnslínum með tilheyrandi rafmagnstruflun- um og mikil röskun varð á samgöngum. NÁTTÚRUFAR Hl ut fal l m eð all ag s /media/vedurstofan-utgafa-2020/VI_arsskyrsla2020.pdf

• 50. 2013_001_Nawri_et_al

  the average of the (wind speed) distribu- tion is given by m = AG(1+1=k) ; (2) with gamma function, G, defined as usual. Wind power density, a measure of the energy flux through an area perpendicular to the direction of motion, varies not only with the cube of wind 15 Figure 2. Annual modelled distributions (dashed lines) and corresponding Weibull fits (solid lines) of wind speed at 50 mAGL, for two /media/vedurstofan/utgafa/skyrslur/2013/2013_001_Nawri_et_al.pdf