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  • 41. Hare-2011-ParticipatoryModelling

    support ) Improv e mode l (integration) ; socia llea rnin g Farmers ,loca l aut horities , association s NO P IN D Cognitiv e mappin g HE T GM B NO P HE T Simulation - by-han d OT :Researcher s KA F F Iska r (Phas e1 ) Co n ce pt u al m o de l (D is cu ss io n su pp o rt ; Com m unication ) Improv e mode l (integration) ; socia llea rnin g Nationa l poli cy-maker s NO P IN D Cognitiv e mappin g HE /media/loftslag/Hare-2011-ParticipatoryModelling.pdf
  • 42. Kok_JGEC658_2009

    to be simple and therefore has important drawbacks. Future improvements should be made in the light of applications within a larger toolbox of scenario methods.  2008 Elsevier Ltd. All rights reserved. * Tel.: +31 317 482422; fax: +31 317 419000. E-mail address: kasper.kok@wur.nl. Contents lists available at ScienceDirect Global Environmental Change journa l homepage: www.e lsev ier .com/ locate /media/loftslag/Kok_JGEC658_2009.pdf
  • 43. 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
  • 44. VI_2016_006_rs

    Such landslides fall from a comparatively high elevation, cause extensive disruption and upheaval of loose materials and soils in their way, and can travel considerable distances uphill against opposing slopes. Secondly, there are medium-sized or large, rapid debris flows that are released from com- paratively high elevations and are confined to gullies as they travel down the mountain- side, similar /media/vedurstofan-utgafa-2016/VI_2016_006_rs.pdf
  • 45. 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
  • 46. 2013_001_Nawri_et_al

  • 47. 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
  • 48. 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
  • 49. VI_2020_004

  • 50. VI_2013_008

    systematically underestimated. The bias is not as pronounced for the non glacial rivers. Com- bining synoptic-scale and basin-scale predictors (method 3) leads to a substantial improvement compared to the use of MSLP fields alone (method 1). Analogue forecasts become similar or better than persistence, depending on catchment and lead time. Usually, persistence performs better for T=1 day and then method 3 /media/vedurstofan/utgafa/skyrslur/2013/VI_2013_008.pdf

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