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  • 1. Refsgaard_1-Welcome

    – Print yourselves • Case descriptions and tasks/questions • Lecturers’ presentations – Handouts during the week – Pdfs will be uploaded at website afterwards Practicalities • PC login – Internet access • Printing • Lunch • Coffee – tea • Posters Monday afternoon + refreshments • Dinner Tuesday at 19:00 Students • Brief presentation round – now • 2-minutes presentation of research topics /media/loftslag/Refsgaard_1-Welcome.pdf
  • 2. programme2---PhD-Workshop-preceding-Adaptation-Research-Conference

    During the conference all of you are requested to act as rapporteur in two or three sessions. A preliminary allocation of rapporteur sessions has been made (see below), while accounting for your expertise in certain areas. Participants can suggest changes in the rapporteur session allocation, on the condition a convincing argumentation is provided as well as a confirmed alternative rapporteur /media/loftslag/programme2---PhD-Workshop-preceding-Adaptation-Research-Conference.pdf
  • 3. norsem_begga

    shock mag. ~3.0 and aftershocks). The DD relocation gives tighter clustering of earthquakes in all three areas, and the strike of a fault segment, unclear in the catalog data, becomes clearly visible after relocation. Relocation shifts the centroids of the clusters by ~300 m from catalog locations, but relative distances between clusters do not change significantly. Our next step is to extend /media/norsem/norsem_begga.pdf
  • 4. Supercomputer in Iceland

    together on climate studies, Arctic studies, development and operation of the Harmonie model and other topics of mutual interest. The cooperation allows for new research opportunities, as well as further development of Nordic and International collaboration. In order to be able to accommodate the supercomputer at IMO's site, the infrastructure had to be upgraded, i.e. the uninterruptible power supply /about-imo/news/nr/3309
  • 5. CES_D2.4_solar_CMIP3

    the A1B scenario. In the panels for winter and autumn, contour interval is 25 MJ m−2, in those for spring and summer 50 MJ m−2. The colour scale is the same in all panels. Fig. A5. The absolute insolation change under the A2 scenario. 11 Fig. A6. The absolute insolation change under the B1 scenario. 12 (B) TIME SERIES Fig. A7 shows the time series of seasonal changes in incident radiation /media/ces/CES_D2.4_solar_CMIP3.pdf
  • 6. Traffc-maintenance_expenditures

    229 1 587 160 1970 18 591 42 413 2 166 86 101 - 892 5 131 2 310 201 - - - 157 805 1 652 904 1969 17 559 38 840 2 313 93 776 - 922 4 562 1 571 - - - - 159 543 1 832 354 1968 13 474 36 376 3 074 104 519 - 1 080 4 131 1 156 - - - - 163 811 1 964 368 1967 11 139 34 495 5 940 95 857 - 419 3 032 1 087 - - - - 151 968 1 936 249 1966 9 835 32 581 8 349 94 777 - 587 4 205 1 743 - - - - 152 077 2 032 936 /media/loftslag/Traffc-maintenance_expenditures.pdf
  • 7. The weather in Iceland in 2018

    of bright sunshine hours in June have not been as few since 1914. It was sunny in Reykjavík in March, August and September. In Akureyri the number of bright sunshine hours was above normal in March, June and September but below normal in April, July, August and October. Sea level pressure The annual average in Reykjavík was 1003.0 hPa, 2.9 below the 1961 to 1990 mean. The absolute /about-imo/news/the-weather-in-iceland-in-2018
  • 8. Paper-Olafur-Rognvaldsson_91

    the opportunity to model river runoff and glacier mass balance both in the current climate and also in a hypothetical future climate based on the CE /VO climate change scenarios. The climate of Iceland is largely governed by the interaction of orography and extra-tropical cyclones, both of which can be described quite accurately by present day atmospheric models. As a result, dynamical downscaling /media/ces/Paper-Olafur-Rognvaldsson_91.pdf
  • 9. VI_2020_008

    by the Peak-over-Threshold with MLE applied on daily and 24-hour accumulated precipitation from the ICRA. ............................... 58 8 Glossary 1M5 – Daily or 24-hour precipitation return level with a 5-year return period AMSAnnual Maxima Series CCCloseness Coefficient CDOClimate Data Operator EVA – Extreme Value Analysis GP – Generalized Pareto ICRA – Icelandic /media/vedurstofan-utgafa-2020/VI_2020_008.pdf
  • 10. VI_2022_006_extreme

    77 91 109 Hraunaveita 132 116 136 159 117 140 169 Kvíslaveita 48 42 49 58 42 51 61 Sultartangi 66 57 68 80 58 69 84 Þingvallavatn 96 84 99 117 85 102 123 Þórisvatn 47 41 49 57 42 50 60 Tungnaá 76 67 79 92 67 80 98 Ufsarlón 104 92 108 126 93 112 134 36 Figure 19 – 1M5 maps for catchment Hálslón based on the ICRA dataset without projection (top left), with RCP 2.6 and 10th percentile /media/vedurstofan-utgafa-2022/VI_2022_006_extreme.pdf

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