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Results:

• 11. Daniell_etal-2010

  and evaluating impacts (see also Swallow et al. 2001, van Ast and Boot 2003). METHODS AND DATA This article is based on empirical data that originated from the analysis of the participatory exercise in the Dhuenn basin. The strong involvement of researchers from two research projects (NeWater[1] and ACER[2]) linked by a joint case study led to the variety of sources available for exploration, including /media/loftslag/Daniell_etal-2010.pdf

• 12. VanderKeur_etal-2008-Uncertainty_IWRM-WARM

  cia l sy ste m ): th re e m ai n gr ou ps o fthreat s ar e at th e scene : cl im at e, so ci o -e co n o m ic s an d gover nanc e 1: M ai nl y ep ist em ic pl us som e onto logi ca l 2:S cenari o Pa rti ci pa to ry pr oc es s (PP ) imp ortan tt o de al w ith un certaint y Pa rti cip at o ry pr o ce ss (PP )im po rta n tt o de al w ith u n ce rta in ty : Pa rti ci pa to ry go al se tti ng :c o n /media/loftslag/VanderKeur_etal-2008-Uncertainty_IWRM-WARM.pdf

• 13. Climate and Modeling Scenarios

  & Ruosteenoja, K. (2009). Comparing regional risks in producing turnip rape and oilseed rape - Impacts of climate change and breeding. Acta agriculturae Scandinavica 59B:2, 129-138. doi:10.1080/09064710802022895 (http://www.ingentaconnect.com/content/tandf/sagb/2009/00000059/00000002/art00004). Pryor, S.C., Barthelmie, R.J., Clausen, N.E., Drews, M., MacKellar, N. & Kjellström, E. (2010). Analyses /ces/publications/nr/1680

• 14. VI_2020_005

  and CNES, n.d.; National Center for Atmospheric Research Staff, 2016; Quante and Colijn, 2016). Now, additional altimeters at different orbits perform slightly less accurate measurements up to 82 N and S (Rhein et al., 2013). These records are used to estimate sea surface changes and calculate global mean sea level, a temporal average sea level averaged over the oceans (Church, Clark, et al., 2013 /media/vedurstofan-utgafa-2020/VI_2020_005.pdf

• 15. Refsgaard_1-Welcome

  Geological Survey of Denmark and Greenland Ministry of Climate and Energy Nordic Network on Adaptive Management in relation to climate change (NONAM) PhD course: “Adaptive management in relation to climate change” Copenhagen, August 22-26, 2011 Jens Christian Refsgaard Welcome NONAM •Adriaan Perrels FIVA •Frederik Uldall Geocenter Copenhagen/GEUS •Jens Christian Refsgaard Geocenter Copenhagen /media/loftslag/Refsgaard_1-Welcome.pdf

• 16. Refsgaard_etal-2007-Uncertainty-EMS

  The advantage of Monte Carlo analysis is its general appli- cability and that it does not impose many assumptions on prob- ability distributions and correlations and that it can be linked to any model code. The key limitation is the large run times for computationally intensive models and the huge amount of outputs that are not always straightforward to analyse. 4.8. Multiple model simulation Multiple model /media/loftslag/Refsgaard_etal-2007-Uncertainty-EMS.pdf

• 17. norsem_atakan_norway

  utilization of all available solid Earth observational data through a single e-infrastructure. Currently, a list of data, data products, software and services (DDSS) is being prepared. These will be integrated in to the EPOS-N data/web-portal, which will allow users to browse, select and download relevant data for solid Earth science research. In addition, advanced visualization /media/norsem/norsem_atakan_norway.pdf

• 18. VI_2014_005

  lines). Additionally, the aver- age profiles for offshore distances to the coast of up to 30 km are shown by the black lines. For temperature, the dashed lines indicate linear projection from the two lowest model levels to 2 m above ground. A comparison of monthly averages of simulated 2-m temperature with station measurements, both for SURFEX and projected values, is shown in Figure 8. On average /media/vedurstofan/utgafa/skyrslur/2014/VI_2014_005.pdf

• 19. Terms and conditions

  no authorisation is given to change data or any other information available from this web-site, unless the source and modification is stated clearly. (i.e., a description of data sourced from IMO and the subsequent changes made by others.) The Icelandic Met Office's website does not collect personally identifiable data about users. Web traffic on en.vedur.is is measured by Google Analytics, Siteimprove /about-imo/the-web/conditions

• 20. Funded MS student opportunity. Dust and ash re-suspension sources

  Formulating source term for dust and ash re-suspension for the NAME model. The MS student will work on the implementation of an emission scheme particularly apt for Icelandic land coverage and climate, and to validate the code using a past event. The MS student will:Formulate code; working on selected test cases.Do backward numerical runs for quantifying the temporal changes of areal source /about-imo/news/funded-ms-student-opportunity-dust-and-ash-re-suspension-sources-in-emission-models