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Results:

• 21. VI_2015_009

  ..................................................................................... 7 2.3 Meteorological data ................................................................................ 8 2.4 Other data ............................................................................................ 8 3 Index flood method ...................................................................................... 11 3.1 General /media/vedurstofan/utgafa/skyrslur/2015/VI_2015_009.pdf

• 22. VI_2009_006_tt

  to theoretical framework. I do also want to thank him for an enjoyable time during this work, both in the office and in the field. This work was carried out as a part of the Skaftá cauldrons research project which was funded and supported by the Icelandic Centre For Research (RANNÍS), Kvískerja- sjóður, the NASA Astrobiology Institute, Landsvirkjun (the National Power Com- pany), the National Energy /media/vedurstofan/utgafa/skyrslur/2009/VI_2009_006_tt.pdf

• 23. Hare-2011-ParticipatoryModelling

  Dispatch: 02.08.11 CE: E E T 5 9 0 No. of Pages: 19 ME: 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 Another possible driving force behind its popularity is changing legislation requiring environmental managers and policy-makers to increase stakeholder participation in their work [e.g /media/loftslag/Hare-2011-ParticipatoryModelling.pdf

• 24. 2010_005_

  Björnsson, Icelandic Meteorological Office   Contents 1 Introduction 9 2 Data and Methodology 11 3 Spatial Variability of Climate Trends 13 3.1 Surface Air Temperature . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13 3.2 Total Precipitation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15 4 Long-Term Trends of Annual Mean Values 16 4.1 Surface Air /media/ces/2010_005_.pdf

• 25. Forecasts - Hálfdán

  6 Cloud cover: 0% 21 GMT -2° NE 6 Cloud cover: 0% 22 GMT -3° NE 5 Cloud cover: 0% 23 GMT -3° NNE 5 Cloud cover: 0% Tue 2.05 00 GMT -3° NNE 4 Cloud cover: 0% 01 GMT -3° NNE 4 Cloud cover: 0% 02 GMT -4° NNE 3 Cloud cover: 0% 03 GMT -4° NNE 3 Cloud cover: 0% 04 GMT -5° NE 2 Cloud cover: 0% 05 GMT -5° NE 2 Cloud cover /m/forecasts/areas

• 26. IPPC-2007-ar4_syr

  Assessment Re- port (AR4). Topic 1 summarises observed changes in climate and their ef- fects on natural and human systems, regardless of their causes, while Topic 2 assesses the causes of the observed changes. Topic 3 pre- sents projections of future climate change and related impacts un- der different scenarios. Topic 4 discusses adaptation and mitigation options over the next few decades /media/loftslag/IPPC-2007-ar4_syr.pdf

• 27. Observations - Öræfi

  Observations - Öræfi | Observations | Icelandic Meteorological office Observations - Öræfi Mon 1.05 14 GMT 6.4° SE 7 Max wind : 7 / 12Road temp. : 12.4° 13 GMT 6.4° SE 7 Max wind : 7 / 13Road temp. : 10.6° 12 GMT 6.4° NW 2 Max wind : 3 / 6Road temp. : 8.3° 11 GMT 5.7° WSW 1 Max wind : 2 / 5Road /m/observations/areas

• 28. 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

• 29. VI_2019_009

  .............................................................. 10 3 Processing ................................................................................................... 12 4 Data Comparison ......................................................................................... 14 4.1 Bolungarvík.......................................................................................... 14 4.2 Höfn í Hornafirði /media/vedurstofan-utgafa-2019/VI_2019_009.pdf

• 30. 2013_001_Nawri_et_al

  Office Halldór Björnsson, Icelandic Met Office Kristján Jónasson, University of Iceland 4 Contents 1 Introduction 9 2 Spatial and temporal variability of low-level wind 11 3 Methodology 13 3.1 Wind modelling . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13 3.2 Weibull statistics . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15 3.3 Density /media/vedurstofan/utgafa/skyrslur/2013/2013_001_Nawri_et_al.pdf