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Results:

• 51. VI_2014_005

  and rivers), and ocean (including sea ice) (Le Moigne, 2009). SURFEX uses input from the 1Further information can be found online at http://hirlam.org/index.php/documentation/harmonie. 2In this section, expressions in parentheses refer to parameter values and settings in the config_exp.h model configuration file. 7 lowest level of the atmospheric model, together with static fields describing the model /media/vedurstofan/utgafa/skyrslur/2014/VI_2014_005.pdf

• 52. 2010_003rs

  við strik sprungunnar í heild, en þó er hún samhangandi við botninn. Hestvatnssprungan er einnig nær lóðrétt og um 15,5 km löng og með strikstefnu N179°A. Hún er ólík Holtasprungunni að því leyti að hún dýpkar til suðurs, úr 6 í 9 km en jafnframt virðist hún mynduð úr tveimur mishallandi flötum. Rétt sunnan skjálftamiðjunnar er sprungan nær lóðrétt (88° halli) en norðan upptakanna hallar /media/vedurstofan/utgafa/skyrslur/2010/2010_003rs.pdf

• 53. CES_D2.4_task1

  /media/ces/CES_D2.4_task1.pdf

• 54. GA_2009_91A_4_Andreassen

  net balances are wellcorrelated and (obviously) best modelled as the sum of bw measured and bs modelled (bs-m2). Thebest obtained correlations of modelled bw (0.86), bs(0.87) and bn (0.94) for 1949–2006, show that themodel could explain 73, 76 and 88% of the variance over this period.From each year we also extracted the day with maximum bw (bwd) and minimum bs (bsd, mini-mum values as bs is negative /media/ces/GA_2009_91A_4_Andreassen.pdf

• 55. Reykholt-abstracts

  in July 2016 on a Delta II rocket from Vandenberg Air Force Base in California. ICESat-2 will carry the Advanced Topographic Laser Altimeter System (ATLAS) and collect data to a latitudinal limit of 88 degrees. In contrast to Geoscience Laser Altimeter System (GLAS) on ICESat, ATLAS employs a 6-beam micro-pulse laser photon-counting approach. It uses a high repetition rate (10 kHz; 70 cm /media/vatnafar/joklar/Reykholt-abstracts.pdf

• 56. 2010_005_

  /media/ces/2010_005_.pdf

• 57. Water_resources_man_Veijalainen_etal

  Volume 24, Number 13 Water Resour Manage (2010) 24:3437–3459 DOI 10.1007/s11269-010-9614-z Climate Change Impacts on Water Resources and Lake Regulation in the Vuoksi Watershed in Finland Noora Veijalainen · Tanja Dubrovin · Mika Marttunen · Bertel Vehviläinen Received: 12 July 2009 / Accepted: 22 February 2010 / Published online: 24 March 2010 ³ Springer Science+Business Media B.V. 2010 Abstract /media/ces/Water_resources_man_Veijalainen_etal.pdf

• 58. 2012-Refsgaard_etal-uncertainty_climate-change-adaptation-MITI343

  /media/loftslag/2012-Refsgaard_etal-uncertainty_climate-change-adaptation-MITI343.pdf

• 59. Refsgaard_etal-2007-Uncertainty-EMS

  BIOMATH, Ghent University, Gent, Belgium d Water Quality Modelling modelEAU, University Laval, Quebec, Canada Received 20 December 2005; received in revised form 5 February 2007; accepted 7 February 2007 Available online 27 April 2007 Abstract A terminology and typology of uncertainty is presented together with a framework for the modelling process, its interaction with the broader water /media/loftslag/Refsgaard_etal-2007-Uncertainty-EMS.pdf

• 60. VI_2020_004

  .................... 85 8 Figure 57 50% PM10 probability map for an eruption like 1362 at Öræfajökull ..................... 86 Figure 58 The probability of exceedance curve at key locations (Öræfajökull) ...................... 87 Figure 59 Tephra accumulation rate on the ground on 7 May 1982 (Öræfajökull) ................. 88 Figure 60 Tephra accumulation rate on the ground on 5 May 1981 (Öræfajökull /media/vedurstofan-utgafa-2020/VI_2020_004.pdf