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• 61. vanRoosmalen_etal-2009-WRR_2007WR006760

  with 20% and 2% for the HIRHAM experiments using HadAM3H and with 30% and 7% for the ECHAM- driven experiments for Middle Europe and Scandinavia, respectively. [18] RCM output is not available for the entire period 1961–2100 because transient RCM simulations are com- putationally very demanding. Instead two 30-year time slices are available; one representative for the climate in the period 1961–1990 /media/loftslag/vanRoosmalen_etal-2009-WRR_2007WR006760.pdf

• 62. VI_2014_005

  in an overall cold bias, compared with station measurements. To test, whether this is due to the HARMONIE model core or the external surface scheme, biases of 2-m temperature from SURFEX are com- pared with biases of temperature projected from the lowest two model levels to 2 mAGL. It is found that the negative temperature biases are due to shallow inversion layers near the ground, which are introduced /media/vedurstofan/utgafa/skyrslur/2014/VI_2014_005.pdf

• 63. Henriksen_Barlebo-2008-AWM_BBN-Journ_Env_Management

  improving management policies and practices by learning from the outcomes of implemented management strategies. Partici- patory integrated assessment is here a form of problem structuring for identification of gaps, ambiguity and multiple frames, confrontation, and integration of the most divergent views with respect to a given problem situation. Additional methods and tools that AM require com /media/loftslag/Henriksen_Barlebo-2008-AWM_BBN-Journ_Env_Management.pdf

• 64. vonKorff_etal-2010

  Copyright © 2010 by the author(s). Published here under license by the Resilience Alliance. Von Korff, Y., P. d'Aquino, K. A. Daniell, and R. Bijlsma. 2010. Designing participation processes for water management and beyond. Ecology and Society 15(3): 1. [online] URL: http://www. ecologyandsociety.org/vol15/iss3/art1/ Synthesis, part of a Special Feature on Implementing Participatory Water /media/loftslag/vonKorff_etal-2010.pdf

• 65. GA_2009_91A_4_Andreassen

  the principalmethods have not changed much over the years, theamount of field work has varied. In the first 15 yearsthe monitoring programme at Storbreen was com-prehensive, often three or more snow density pits were dug, snow depth was measured at about 600points and ablation was measured on 30 stakes evenly distri uted on the glacier (Liestøl 1967).Based on experience of the snow pattern, the ob- servations /media/ces/GA_2009_91A_4_Andreassen.pdf

• 66. 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

• 67. 2010_005_

  which are significantly lower com- pared with similar beginning and end years. Consequently, for the 2004–50 period, the average RCM warming rates of 0.29 K per decade over the ocean, and 0.35 K per decade over the land are somewhat larger than for the reduced IPCC ensemble mean. Additionally, the tabulated values of SAT differences between the 1961–90 control period and either the 2021–50 /media/ces/2010_005_.pdf

• 68. VI_2015_005

  This is also the case with cyclones in all three sectors. Cyclones in the eastern or western sector are also strongly affected by the presence of central cyclones. In both sectors, cyclones tend to move east, unless there are cyclones in the neighbouring sector, in which case pressure tendencies are reversed. 21 Figure 10. Composite mean temporal MSLP tendencies, for different MSLP modes. Com- posite mean /media/vedurstofan/utgafa/skyrslur/2015/VI_2015_005.pdf

• 69. 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

• 70. Reykholt-abstracts

  /media/vatnafar/joklar/Reykholt-abstracts.pdf