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Results:

• 41. Refsgaard_etal-2007-Uncertainty-EMS

  - - by - . d - al- ral l on on, the l to in r so ip- de- of ) pollution sources and climate data.  Model structure uncertainty is the conceptual uncertainty due to incomplete understanding and simplified descrip- tions of modelled processes as compared to reality.  Parameter uncertainty, i.e. the uncertainties related to pa- rameter values.  Model technical uncertainty is the uncertainty arising /media/loftslag/Refsgaard_etal-2007-Uncertainty-EMS.pdf

• 42. 2013_001_Nawri_et_al

  of Iceland (Háskóli Íslands; UI) in the context of Work Package 2 of the project “Im- proved Forecast of Wind, Waves and Icing” (IceWind), funded primarily by the Nordic Top-level Research Initiative (Toppforskningsinitiativet; TFI), including national and private organisations. This report is the fifth in a series of IMO reports produced for IceWind, the others being Nawri et al. (2012d,a,b,c /media/vedurstofan/utgafa/skyrslur/2013/2013_001_Nawri_et_al.pdf

• 43. VI_2014_005

  F., and Desroziers, G. (2011). Background-error covariances for a convective-scale data-assimilation system: AROME – France 3D-Var. Q. J. R. Meteorol. Soc., 137:409–422. Champeaux, J. L., Masson, V., and Chauvin, F. (2005). ECOCLIMAP: a global database of land surface parameters at 1 km resolution. Meteorol. Appl., 12:29–32. de Rosnay, P., Carver, G., Vitart, F., Balsamo, G., Wedi, N., Dutra, E /media/vedurstofan/utgafa/skyrslur/2014/VI_2014_005.pdf

• 44. CES_D2.4_VMGO

  size. References 1. Meehl, G.A., C. Covey, T. Delworth, M. Latif, B. McAvaney, J.F.B. Mitchell, R.J. Stouffer and K.E. Taylor, 2007: The WCRP CMIP3 Multimodel Dataset: A New Era in Climate Change Research, BAMS, 88, 1383-1394, DOI: 10.1175/BAMS-88-9-1383. 2. Naki �enovi � N., J. Alcamo, G. Davis, B. de Vries, J Fenhann, S. Gaffin, K. Gregory, A.Grübler, T.Y. Jung, T. Kram, E.L. La Rovere /media/ces/CES_D2.4_VMGO.pdf

• 45. AnneFleig_May2010_CES

  E l b e i n D r e s d e n , A p r i l 2 0 0 7 CES conference, Oslo, Norway, 31 May - 2 June 2010 Typical features • develop slowly, • become severe when they cover a large region and persist for an extended period. E l b e i n D r e s d e n , A p r i l 2 0 0 7 ( s p i e g e l . d e ) Anne K. Fleig et al. “Regional hydrological droughts and weather types in north /media/ces/AnneFleig_May2010_CES.pdf

• 46. VI_2015_005

  the focus is on local maxima of relative vertical vorticity. The continued use of two well-established methods for cyclone identification is due to the strengths and weaknesses inherent in both. Relative vorticity is better suited than MSLP to de- tect small-scale, fast-moving systems, such as polar lows, and is generally able to detect cyclonic storm systems at an earlier stage /media/vedurstofan/utgafa/skyrslur/2015/VI_2015_005.pdf

• 47. VI_2020_008

  tíðnidreifingarinnar (e. General Extreme Value distribution) en sú seinni stika GP tíðnidreifingarinnar (e. General Pareto distribution). Einnig finnast fleiri aðferðir til að aðlaga útgildadreifingu að gögnunum, tvær sem eru skoðaðar í þessari skýrslu eru hámarkssennileikamat (e. Maximum Likelihood Estimate) og L-moments aðferðin. Eftir næmnisathuganir, sem beitt er á bæði úrkomumælingar og útreikninga er /media/vedurstofan-utgafa-2020/VI_2020_008.pdf

• 48. Group5-Stakeholders_involvement

  /EPP 2 Stakeholders analysis 26 August 2011 PM/YZ/EPP 3 Stake h o l d e r s P u b l i c / p r i v at e P o w e r l e v e l (“ n u i s an ce” ca p a c i t y ) O r i e n tat i o n H or s t e n s m uni c ipal i t y ( c o m pe t e n t a u t h ori t y ) P u b l i c S t ron g Go v ernanc e N eighbour mun i c i p ali t y P u b l i c S t ron g Go v ernanc e Poli c y /media/loftslag/Group5-Stakeholders_involvement.pdf

• 49. norsem_dori

  High-rate GPS seismology in Iceland Halldór Geirsson (1), Vala Hjörleifsdóttir (2), Kristín Jónsdóttir (3), Benedikt Ófeigsson (3), Félix Rodríguez Cardozo (2), Eyjólfur Magnússon (4) 1: Faculty of Earth Sciences, University of Iceland 2: Departamento de Sismología, Instituto de Geofísica, Universidad Nacional Autónoma de Mexico 3: Icelandic Meteorological Office 4: Institute of Earth Sciences /media/norsem/norsem_dori.pdf

• 50. Guidelines2-for-rapporteurs

  ). This can be helpful with respect to finding a common structure in presenting as well in session reporting (for which angles mentioned in the opening session statements of the Workshop participants can provide checkpoints).” Session rapporteur allocation M o n d a y 2 9 . 8 Y u a n g Z h e n g A t h a n a s i o s V o t s i s E i v i n d J u n k e r M i c h a e l L a i h o H e c to r /media/loftslag/Guidelines2-for-rapporteurs.pdf