84 results were found for [77AGG. COM]sm506 slot delta slot trisula 88 slot free slot 88 jp bam slot t4z.

Results:

• 21. 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

• 22. GA_2009_91A_4_Andreassen

  (alb: AWS) MODELLING LONG-TERM SUMMER AND WINTER BALANCES ? The authors 2009 Journal compilation ? 2009 Swedish Society for Anthropology and Geography 241 ed temperatures relative to –20°C to account for de-cay of snow albedo at temperatures below the melt-ing point, following a study by Winther (1993). Wetested both approaches, and chose to use –5°C asthe minimum for the accumulated temperature /media/ces/GA_2009_91A_4_Andreassen.pdf

• 23. Lorenzoni_Pidgeon_2006

  for people to conceptualise and to relate to their daily activities, arguably because it cannot be easily translated into the language of popular culture (Ungar, 2000; see also mental models of cli- mate change by Bostrom et al., 1994; Kempton, 1997; discussed later). Secondly, the various datasets available detailing public opinions and attitudes on climate PUBLIC VIEWS ON CLIMATE CHANGE: EUROPEAN /media/loftslag/Lorenzoni_Pidgeon_2006.pdf

• 24. ces-glacier-scaling-memo2009-01

  difference between the band and the maximum altitude of the glaciers ymax Dgi = ri gi ; ri = DSa2 (ymax yi) nj=1(ymax y j)g j : (12) The second step is carried out after the lowest glaciated elevation bands have been altered by the reduction in the glaciated area at the lowest altitudes. This procedure to distribute the reduction in glaciated area with altitude is clearly quite crude /media/ces/ces-glacier-scaling-memo2009-01.pdf

• 25. 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

• 26. 47th Nordic Seismology Seminar

  Reykjavík, which can be booked during the registration process. Of course, participants are free to book any other accommodation on their own.Other hotelsOther hotels in walking distance from the meeting venue, Grand Hotel, are for instance:Hotel Cabin ($$) Town House Guesthouse ($)Hilton Reykjavík Nordica ($$$)Hotel Lotus ($$) Galaxy Pod Hostel ($)The above accommodation, or any other of your own /norsem/norsem2016/accomodation/

• 27. 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 AMS – Annual Maxima Series CC – Closeness Coefficient CDO – Climate Data Operator EVA – Extreme Value Analysis GP – Generalized Pareto ICRA – Icelandic /media/vedurstofan-utgafa-2020/VI_2020_008.pdf

• 28. VI_2015_006

  m 2 or less, compared with losses of 80 W m 2 or more over neigh- bouring cloud-free regions. The conditions around midnight, off the southeast coast on 27 July, and along the north coast on 3 September, clearly show the limited ability (in the model) of even a complete high-level cloud cover to affect the longwave radiation balance at the surface. Mid- level clouds are usually simulated together /media/vedurstofan/utgafa/skyrslur/2015/VI_2015_006.pdf

• 29. BIKF_windrose_2005-2014

  direction (%) Aerodrome Total observations: 14883 Calm: 2.2% Variable winds: 0.55% Average wind speed for wind direction Wind direction (°) Wind speed (knots ) 0 5 10 15 0 45 90 135 180 225 270 315 360 N E S W N (Number of observations for wind direction) Icelandic Met Office 02. júl. 2015 62 1 87 9 97 3 79 5 45 3 30 9 24 2 33 8 23 8 19 1 20 6 30 9 38 1 45 2 65 6 63 1 46 0 42 2 41 7 28 1 30 1 33 2 /media/vedur/BIKF_windrose_2005-2014.pdf

• 30. BIVM_windrose_2005-2014

  N E S W N (Number of observations for wind direction) Icelandic Met Office 02. júl. 2015 114 8 128 7 84 9 36 1 26 0 13 9 24 3 65 4 136 4 250 3 366 4 298 8 189 6 146 9 99 9 160 6 111 5 83 5 86 1 86 4 80 0 82 6 92 4 96 3 97 5 124 9 109 5 127 7 122 4 115 3 88 0 61 9 52 3 55 3 96 0 109 9 Wind rose BIVM January 2005−2014 90 80 70 60 50 40 30 2010360350340 330 320 310 300 290 280 /media/vedur/BIVM_windrose_2005-2014.pdf