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Results:

• 11. VI_2015_006

  ....................................................................................... 10 3 September 2012 .................................................................................. 12 3 Radiation fluxes at the surface ....................................................................... 16 4 Heat fluxes at the surface .............................................................................. 21 5 Net energy /media/vedurstofan/utgafa/skyrslur/2015/VI_2015_006.pdf

• 12. Gudmundsson-etal-2011-PR-7282-26519-1-PB

  -corrected SPOT 5 high-resolution geometric (HRG) images with 2.5 m 2.5 m spatial resolution, acquired in the autumn 2003 and (4) airborne polarimetric synthetic aperture radar images observed simultaneously to the 1998 EMISAR images and the EMISAR DEM viewed as a shaded relief image (Magnu´sson et al. 2005b). We estimate the average specific net mass balance (in m yr1 w. eq.) as bn r DV A1  N /media/ces/Gudmundsson-etal-2011-PR-7282-26519-1-PB.pdf

• 13. Machguth_Horst_CES_2010

  experiments with different RCM’s • explore RCM biases • apply a different mass balance model data 2 RCM’s • HIRHAM4, Scenario A1B, 25 km, 1950-2100, Greenland • RCAO, Scenario A1B, 50 km, 1960-2100, Pan-Arctic 4 Weather Stations (Ta, Sin) • GC-Net Swiss Camp: 1150 m a.s.l. (1995 – 2006) • GC-Net Crawford: 2020 m a.s.l. (1995 – 2006) • Asiaq Station 437: 300 m a.s.l. (1983 – 2006) • DMI Illulisat /media/ces/Machguth_Horst_CES_2010.pdf

• 14. ces-oslo2010_proceedings

  anomalies of the WTs during the periods leading up to the five most severe droughts as compared to the average frequency of a given WT for the same period of the year over the entire data record. A period equal to dreg preceding the drought plus the 20 first days of the drought was used. All WTs with a net positive frequency anomaly over the five events were considered to be associated /media/ces/ces-oslo2010_proceedings.pdf

• 15. vanRoosmalen_etal-2009-WRR_2007WR006760

  1998] and RCM output such as incoming and outgoing, short- and long-wave radiation, temperature, water vapor pressure, and wind speed: ETref ¼ 0:408D Rn
  Gð Þ þ g 900T þ 273 u2 es
  eað Þ Dþ g 1þ 0:34u2ð Þ ð3Þ where ETref is reference evapotranspiration (mm d
  1), Rn is net radiation at the crop surface (MJ m
  2 d
  1), G is soil heat flux density (MJ m
  2 d
  1), T is mean daily air temperature at 2 m /media/loftslag/vanRoosmalen_etal-2009-WRR_2007WR006760.pdf

• 16. Reykholt-abstracts

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

• 17. Joining forces in weather forecasting and climate research

  of how climate change will impact our countries” says Árni.A sustainable solution Powered entirely by Icelandic hydropower and geothermal energy sources and taking advantage of the local tempered climate for keeping the supercomputer components cool, the running costs and CO2 footprint will be kept to a minimum, saving tonnes of CO2 in line with the four nations' efforts towards reaching Net /about-imo/news/joining-forces-in-weather-forecasting-and-climate-research

• 18. 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

• 19. VI_2022_006_extreme

  that, the detrended timeseries would have had a net difference of zero if the negative values had not been set back to zero. This shows that over the 39 years of data, there was a slight precipitation increase for this grid-point. This trend has been removed, resulting in a detrended, almost flat dataset. 29 Figure 14. Regression lines for hourly precipitation timeseries of grid-point [100, 100] from /media/vedurstofan-utgafa-2022/VI_2022_006_extreme.pdf

• 20. Bio Energy

  ) Faculty of Forest Sciences University of Joensuu P.O. Box 111, FI-80101 Joensuu, Finland. Email: mailto:seppo.kellomaki@joensuu.fi Here is a full PDF version of the Bio Energy flyer Partners CICERO, Center for Klimaforskning, Norway Denmark /ces/project/bio_energy/