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Results:

• 51. Eyjafjallajokull_status_2010-05-07_IES_IMO

  recorded at 5-13 km depth, but fewer than yesterday. GPS deformation: Measurements from around Eyjafjallajökull indicate no major net discplaceaments, suggesting a stabilization of the surface deformation since yesterday. Other remarks: Grainsize analysis of samples taken of ash that fell on May 3rd at 64 km distance from the eruption site shows that about 5 % of the ash is smaller /media/jar/Eyjafjallajokull_status_2010-05-07_IES_IMO.pdf

• 52. James-Smith_Edward_CES_2010

  opportunity evaluation Case studies NOE Net SEAS-NVE Findings of case studies • Distribution companies generally well equipped for climate change – Cabling of all overhead lines well under way – Distribution boxes in areas with increased risk of flooding are elevated already – Salt spray further inland is becoming an increasing problem for substations and transformers Cabling in Denmark /media/ces/James-Smith_Edward_CES_2010.pdf

• 53. CASE_A___Jes_Pedersen_(Region_Midt,_Dk)_Introduction

  NONAM Risk Assessment and Stakeholder Investment. Multidisciplinary Workshop in Reykjavík 26 – 27 August 2010 1 HORSENS FJORD CASE Jes Pedersen, Rolf Johnsen and Hans Jørgen Henriksen 1. Background to the case Introducing the catchment Horsens estuary is a shallow and eutrophic estuary located on the east side of Jutland, Denmark within the WFD catchment area Horsens Fjord (Fig. 1 /media/loftslag/CASE_A___Jes_Pedersen_(Region_Midt,_Dk)_Introduction.pdf

• 54. Case_A___Horsens_Fjord

  NONAM Risk Assessment and Stakeholder Investment. Multidisciplinary Workshop in Reykjavík 26 – 27 August 2010 1 HORSENS FJORD CASE Jes Pedersen, Rolf Johnsen and Hans Jørgen Henriksen 1. Background to the case Introducing the catchment Horsens estuary is a shallow and eutrophic estuary located on the east side of Jutland, Denmark within the WFD catchment area Horsens Fjord (Fig. 1 /media/loftslag/Case_A___Horsens_Fjord.pdf

• 55. Outline_for_the_case_Road_maintenance_in_a_changing_climate

  NONAM PhD course – Adaptive management in relation to climate change – Copenhagen 21-26/8/2011 …………………………………………………………………………………………………………………………………………………………………… 1 Outline for the case Road maintenance in a changing climate Introduction Roads and transport systems are vulnerable to climate change impacts (VTT 2011; Koetse and Rietveld, 2009; Regmi & Hanaoka, 2011; Road ERA-net 2009 & 2010 /media/loftslag/Outline_for_the_case_Road_maintenance_in_a_changing_climate.pdf

• 56. VI_2015_009

  by rescaling a dimensionless regional flood frequency distribution or growth curve, qR(D;T ), com- mon to all sites of the homogeneous region, with the so-called index flood, µi(D), of the target site: bQi(D;T ) = µi(D)qR(D;T ); (1) where bQi(D;T ) is the estimated flood quantile, i.e. the T -year flood peak discharge averaged over duration D, at site i. The regional growth curve, qR(D;T /media/vedurstofan/utgafa/skyrslur/2015/VI_2015_009.pdf

• 57. Huntjens_etal-2010-Climate-change-adaptation-Reg_Env_Change

  ORIGINAL ARTICLE Climate change adaptation in European river basins Patrick Huntjens • Claudia Pahl-Wostl • John Grin Received: 1 July 2008 / Accepted: 24 December 2009 / Published online: 2 February 2010  The Author(s) 2010. This article is published with open access at Springerlink.com Abstract This paper contains an assessment and stan- dardized comparative analysis of the current water man /media/loftslag/Huntjens_etal-2010-Climate-change-adaptation-Reg_Env_Change.pdf

• 58. 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

• 59. NONAM_1st_workshop_summary_v3

  .......................................................... 16  Concluding remarks from the break out sessions – comparing the water sector and road infrastructure........................................................................................................................ 24  Annex 1. Task of break out groups ..................................................................................... 25  Annex 2 /media/vedurstofan/NONAM_1st_workshop_summary_v3.pdf

• 60. VI_2019_009

  To distinguish between rain and snow, the volume is com- pared to the water equivalent but the volume of snow is ten times larger. Figure 1. How PWD22 determines the type of precipitation. Using the information about the changes of the backscatter signal, water equivalent and temper- ature the Vaisala Present Weather Detector can give information about the type of precipitation. It is also used /media/vedurstofan-utgafa-2019/VI_2019_009.pdf