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• 41. Observations - Húsafell

  Observations - Húsafell | Observations | Icelandic Meteorological office Observations - Húsafell Mon 1.05 14 GMT 7.9° NE 5 Max wind : 5 / 8 13 GMT 6.0° NNE 4 Max wind : 6 / 9 12 GMT 4.2° NNE 5 Max wind : 6 / 10 11 GMT 3.2° NNE 5 Max wind : 6 / 11 10 GMT 2.5° NNE 5 Max wind : 6 / 10 /m/observations/areas

• 42. Adalgeirsdottir-etal-tc-5-961-2011

  (DGPS) equipment in 2001. Continuous profiles, approximately 1 km apart, were measured in the accumulation zone and a dense net- work of point measurements were carried out in the abla- tion zone. Digital Elevation Models (DEMs) of the surface and bedrock were created from these data (Fig. 2; Björns- son and Pálsson, 2004). The estimated errors are at most 1–5 m (bias less than 1 m) for the surface /media/ces/Adalgeirsdottir-etal-tc-5-961-2011.pdf

• 43. Kok_2-scenarios-lecture-2

  Environmental Change 19: 122-133 Kok, K., Van Delden, H. 2009. Combining two approaches of integrated scenario development to combat desertification in the Guadalentín watershed, Spain. Environment and Planning B 36: 49-66. Kok, K., Biggs, R., Zurek, M. 2007. Multi-scale scenario development methodologies. Experiences from Southern Africa and the Mediterranean. 2007. Ecology and Society. 12 (1): 8. [online /media/loftslag/Kok_2-scenarios-lecture-2.pdf

• 44. D2.3_CES_Prob_fcsts_GCMs_and_RCMs

  19 CMIP3 GCMs are used (Table 2.1). The horizontal grid spacing of these models varies from 1.1 q latitude × 1.1q longitude to 4 q latitude × 5q longitude. For each 2 Some of the RCM simulations in the ENSEMBLES data base were conducted with funding from other sources, including CES. 5 model, a 198-year time series (1901-2098) obtained /media/ces/D2.3_CES_Prob_fcsts_GCMs_and_RCMs.pdf

• 45. Kriauciuniene_Jurate_CES_2010

  feeding Average annual runoff, l/s·km2 10 regional series from Baltic States Long-term regional series of temperature, precipitation and runoff were normalized with reference to the period of 1961- 1990. Precipitation and runoff were normalized by division with mean values. Temperature was normalized by subtraction with the mean and division of the standard deviation. The regional series /media/ces/Kriauciuniene_Jurate_CES_2010.pdf

• 46. ces_geus_paakitsoq_full_report

  ). Melt at the margin of the ice sheet seems somewhat overestimated. However, it must be considered that observations from the Paakitsôk stake network are only available from 1982–1987 (Ahlstrøm et al., 2007) and thus exclude more recent years with strongly increased melt. 5 RCM Evaluation The reference period where RCM output is compared to measurements is January 1 1981 to June 1 2006. This period /media/ces/ces_geus_paakitsoq_full_report.pdf

• 47. Demers_Claude_CES_2010

  the largest in North America from 1971 square4 Watershed 177,000 km² square4 3,000 km of new roads square4 7 transmissions lines + 7,000 km(735 kV) square4 9 reservoirs, total area ± 14,000 km2 square4 9 power plants : 16,500 MW square4 +2 under construction: 17,500 MW square4 A first and a last A La Grande-2 and La Grande-2A Electricity Consumption / Capita ( kWh, 2005) Aluminium (90 /media/ces/Demers_Claude_CES_2010.pdf

• 48. VI_2017_009

  are shown above the line, secondary cases below the line. All cases are taken from the EURO-11 domain, see chapter 3 for details. Case Driving GCM Downscaling RCM RCP Main case 1 / 2 MOHC-HadGEM2-ES RCA4 45 / 85 3 / 4 MOHC-HadGEM2-ES COSMO-CLM4-8-17 45 / 85 5 / 6 MPI-ESM-LR RCA4 45 / 85 7 / 8 MPI-ESM-LR COSMO-CLM4-8-17 45 / 85 Secondary case 9 / 10 MOHC-HadGEM2-ES REMO2009 45 / 85 /media/vedurstofan-utgafa-2017/VI_2017_009.pdf

• 49. Wind Energy

  impacts on extreme wind speeds. 21st Century Challenges in Regional-scale Climate Modelling Workshop. Proceedings of the Regional Climate Models 2009 conference in Lund, p 271-272. Int. Baltex Secretariat. Publication #41. ISSN 1681-6471. Pryor, S.C., Barthelmie, R.J. & E.S. Riley (2007). Historical evolution of wind climates in the USA, Conference on the science of making torque from wind, Danish /ces/publications/nr/1944

• 50. Kok_JGEC658_2009

  in the models, while on the other hand, models require quantitative information on a wealth of parameters that is often difficult to extract from storylines. In other words, there is a mismatch between storylines and model parameters (Steps 3–4 in Fig. 1), as well as between model output and revised stories (Steps 5–6). In practice, particularly the translation of stories into quantified model /media/loftslag/Kok_JGEC658_2009.pdf