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89 results were found for Strategie JZMOR per affrontare la frode e salvaguardare i tuoi fondi.


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  • 51. Lawrence_Deborah_CES_2010

    ECHAM4/OPYC3 NorClim/HIRHAM 25x25 km 'Empirical Adjustment' to 1 x 1 km 100 150 200 250 300 350 400 450 500 550 600 650 700 750 800 850 900 1 10 100 1000 Return period (years) P e a k d a i l y d i s c h a r g e ( m 3 / s ) 1981-2010 GEV from annual max series 2021-2050 GEV from annual max series 2021 - 2050 Annual maximum series 1981 - 2010 Annual maximum series 1981-2010 200-year flood 2021 /media/ces/Lawrence_Deborah_CES_2010.pdf
  • 52. 2005EO260001

    -00046). References Björnsson, H. (2002), Subglacial lakes and jökul- hlaups in Iceland, Global Planet. Change, 35, 255- 271. Bödvarsson, R., S. T. Rögnvaldsson, R. Slunga, and E. Kjartansson (1999), The SIL data acquisition sys- tem at present and beyond year 2000, Phys. Earth Planet Inter., 113, 89-101. Lacasse, C., S. Karlsdóttir, G. Larsen, H. Soosalu, W. I. Rose, and G. J. Ernst (2004 /media/jar/myndsafn/2005EO260001.pdf
  • 53. VI_2015_005

    Franz Josef Land. The western boundary at 71 W excludes Hudson Bay and Foxe Basin, both associated with their own storm climate. Baffin Bay is included in its entirety, since storm activity in that region is closely linked to that over the western North Atlantic (Dacre & Gray, 2009). The eastern boundary at 55 E is chosen to completely include the Barents Sea. This results in an area of 21,625,566 /media/vedurstofan/utgafa/skyrslur/2015/VI_2015_005.pdf
  • 54. VI_2015_007

    ...................................................................................... 30 7 References .................................................................................................. 31 Appendix I - Identification of homogeneous groups of catchments obtained with the ROI technique and associated growth curves .............................................. 33 Appendix II - WaSiM daily flow simulations: Best run verification for the cali- bration /media/vedurstofan/utgafa/skyrslur/2015/VI_2015_007.pdf
  • 55. Lorenzoni_Pidgeon_2006

    from various datasets and research studies across nations, supplemented with in-depth data collected in the UK. These findings are not always directly comparable, as this depends on (i) the nature of the issue being investigated and (ii) practical/technical characteristics of data collection. Firstly, climate change is a very complex, per- vasive and uncertain phenomenon, generally difficult /media/loftslag/Lorenzoni_Pidgeon_2006.pdf
  • 56. VI_2014_006

    the results for all catchments, with that method. The deterministic predictions were also compared to two benchmark determinis- tic predictions, i) monthly climate in the period 1961–2000, i.e. F(t0 +D) = E[A(M)], and ii) persistence, i.e. F(t0 +D) = A(t0), where F is the forecast and A the observation or analysis. Figures 5 to 8 present the scatter plots of observed temperature and precipitation versus /media/vedurstofan/utgafa/skyrslur/2014/VI_2014_006.pdf
  • 57. ces-glacier-scaling-memo2009-01

    glacier inventories, aerial photographs and expert judgement must be used to complete the curve down to the origin of the figure. The volume distribution may then be computed by transforming the glacier area on the y-axis of the area distribution curve in Figure 3 to volume using Equation (5) resulting in V (vn) = n i=1 csgi ; (6) in case the cumulative area distribution function V (v /media/ces/ces-glacier-scaling-memo2009-01.pdf
  • 58. Paper-Olafur-Rognvaldsson_92

    twice per day on the chosen synoptic stations, at 09 and 18 UTC. The MM5 output was saved every 6 hours, at 00, 06, 12 and 18. The shortest comparison period is therefore 24 hours (from 18 to 18). That period will from now on be referred to as an "event" in this paper. The model output from a grid point can be considered as an area averaged precipitation over an area of 64 km2. Therefore we do /media/ces/Paper-Olafur-Rognvaldsson_92.pdf
  • 59. norsem_atakan_ip

    European Plate Observing System Implementation Phase (EPOS-IP): Services for Solid Earth Science Kuvvet Atakan1 and the EPOS-Consortium2 1 Department of Earth Science, University of Bergen, Norway, E-mail: Kuvvet.Atakan@uib.no 2 EPOS www.epos-eu.org The European Plate Observing System (EPOS) aims to create a pan-European infrastructure for solid Earth science to support a safe /media/norsem/norsem_atakan_ip.pdf
  • 60. VI_2014_001

    ...................................................................................... 31 7 References .................................................................................................. 32 Appendix I - Daily Index flood models for Region 1. .......................................... 35 Appendix II - Daily Index flood models for Region 2. ........................................ 36 Appendix III - Comparison between /media/vedurstofan/utgafa/skyrslur/2014/VI_2014_001.pdf

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