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72 results were found for WA 0821 7001 0763 (FORTRESS) pintu motif kayu solid modern Heram Kota Jayapura Papua.


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  • 41. CES_D2.4_task2_CMIP3_winds

    the windiest part of the year from November to January, the observed Vg is approximately 1 m/s higher than the 10-GCM mean. 2 Fig. 1. The seasonal cycle of the geostrophic wind speeds at the grid point (60°N, 25°E), as averaged over the years 1971-2000. The solid line shows the 10-GCM average and the shading the mean ± one standard deviation between the model simulations. The red squares /media/ces/CES_D2.4_task2_CMIP3_winds.pdf
  • 42. Crochet_Philippe_CES_2010

    ( m m / d ) Mean annual maximum Timing barb2right 20% Maximum 1971-2000 All years 1971-2000 25% coldest 25% warmest Timing Mean annual maximum barb2right 20% glacial peak of melting1971-2000 Austari-Jökulsá, 12% glacier covered Northern part of central highlands Snowmelt (solid) and glacial melt (dashed) seasonality Snow storage seasonality Mean annual maximum Timing Snow cover duration /media/ces/Crochet_Philippe_CES_2010.pdf
  • 43. Huntjens_etal-2010-Climate-change-adaptation-Reg_Env_Change

  • 44. Hydropower, Hydrology

    (2010). Impact of Climate Change on Runoff of the Lithuanian Rivers. Modern climate change models, statistical methods and hydrological modelling. LAP LAMBERT Academic Publishing. 2010. 53 p. Roald, L.A., Hisdal, H., Beldring, S. (2007). Floods and droughts in a changing climate in Norway. The Third International Conference on Climate and Water, Helsinki, Finland, 3-6 September 2007, pp. 392-396 /ces/publications/nr/1938
  • 45. ces-glacier-scaling-memo2009-01

    caps, v = 0.048*s1.23 Bahr et al. (1997), v = 0.036*s1.36 Langjökull Hofsjökull S−Vatnajökull Figure 1: Volume and area of the five largest Icelandic ice caps (Vatnajökull, Langjökull, Hof- sjökull, Mýrdalsjökull and Drangajökull, note that the symbols for Langjökull and Hofsjökull nearly coincide) (circles). The solid line shows a least-squares fit to the points and the dashed line the corresponding /media/ces/ces-glacier-scaling-memo2009-01.pdf
  • 46. VI_arsskyrsla2020

  • 47. ces_geus_paakitsoq_full_report

    + 1 is calculated for every time-step and over each grid cell of the DTM according to Oerlemans (2001): bc(t+ 1) = bc(t) + braceleftBigg ∆t · (−Qm)/lm + Psolid if Qm > 0 Psolid if Qm ≤ 0 (1) where t is the discrete time variable, ∆t is the time-step, lm is the latent heat of fusion of ice (334 kJ kg−1) and Psolid is solid precipitation in meter water equivalent (m w.e.). The energy available /media/ces/ces_geus_paakitsoq_full_report.pdf
  • 48. VI_2015_009

    flood models 1–24 (Eqs. 8 and 9 applied with variables 1–12). Ratio between esti- mated and reference index flood (solid black line). The solid blue line corresponds to the reference index flood (Ratio=1), estimated as the arithmetic mean of the observed AMF sample and the dashed blue lines the 95% CI derived from the GEV distribution. Large red symbol indicates overall best model. 18 4.2.2 Flood /media/vedurstofan/utgafa/skyrslur/2015/VI_2015_009.pdf
  • 49. 2010_017

    m J M5 [C°] -3 obs. [C°] -4 nce 1 re 5. Comp 26); an int temperatu this system y gridded v picion abo -Jökulsá w similar dif han observ h elevation ces the effe months No ly only on high the tem n band wi refore be s onthly tem an Feb Ma .2 -3.1 -3. .3 -4.1 -3. .1 1.0 0.6 arison of m erpolation re is shown atic differe alues, see T ut the qual atershed; b ference wa ations for t gradient fo /media/ces/2010_017.pdf
  • 50. Journal_of_Hydrology_Veijalainen_etal

    The hydrological simulations were performed with the Wa- tershed Simulation and Forecasting System (WSFS) developed and operated in the Finnish Environment Institute (Vehviläinen et al., 2005). The WSFS is used in Finland for operational hydrolog- ical forecasting and flood warnings (www.environment.fi/water- forecast/), regulation planning and research purposes (Vehviläinen and Huttunen, 1997 /media/ces/Journal_of_Hydrology_Veijalainen_etal.pdf

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