49 results were found for 缅甸迪威国际开户【18O-8833-OOOO】国nbasz际Z.

Results:

• 21. CES_D2.4_VMGO

  L. Michaelis, S. Mori, T. Morita, W.Pepper, H. Pitcher, L. Price, K. Raihi, A. Roehrl, H.-H. Rogner, A. Sankovski, M.Schlesinger, P.Shukla, S. Smith, R. Swart, S. van Rooijen, N. Victor, Z. Dadi, 2000: IPCC Special Report on Emission Scenarios. Cambridge University Press, United Kingdom and New York, NY, USA. a) b) c) Fig.1 Change of annual extreme temperature range /media/ces/CES_D2.4_VMGO.pdf

• 22. 2013_001_Nawri_et_al

  the validity of the ideal gas law, hydrostatic balance, a piecewise linear vertical gradient of air temperature, and neglecting the effects of water vapour. Pressure, p, as a function of height can then be derived through vertical integration of the hydrostatic balance equation, and is given by p(h(x;y);z) = p0 exp g R Z h(x;y)+z 0 dx T (x ) ; (5) where p0 is pressure at mean sea level, T /media/vedurstofan/utgafa/skyrslur/2013/2013_001_Nawri_et_al.pdf

• 23. Refsgaard_etal-2007-Uncertainty-EMS

  on the quantity at hand (strengths and weaknesses in Box 1. The error propagation equation The error propagation equations for the most common operators are (s is the standard deviation): Addition and Subtraction: z ¼ x þ yþ/ or z ¼ x  y/ sz ¼ ffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffi s2x  þ  s2y  þ/ r Multiplication by an exact number: z /media/loftslag/Refsgaard_etal-2007-Uncertainty-EMS.pdf

• 24. vonKorff_etal-2010

  ” The latter is in our case a policy decision represented by point z in Fig. 1. In European water management, typical policy decisions that involve participation include water management plans. Leading up to the policy decision is the participation process, represented by the space between points y and z, in which stakeholders interact with each other but also with the agency responsible /media/loftslag/vonKorff_etal-2010.pdf

• 25. ces-glacier-scaling-memo2009-01

  ) is considered as a sequence of steps corresponding to n individual glaciers of different sizes (with volumes vi and areas si for i = 1 to n), or using V (v) = Z v 0 1 g dS ds dx ; (7) where the slope of the area distribution function, dS=ds, is considered as a function of ice vol- TóJ 5 5.12.2009 Memo 0 50 100 150 200 0 5 10 15 20 25 Cumulative area (km2) Area (km 2 ) 0 5 10 15 0. 0 0. 5 1. 0 1. 5 2. 0 2. 5 /media/ces/ces-glacier-scaling-memo2009-01.pdf

• 26. Huntjens_etal-2010-Climate-change-adaptation-Reg_Env_Change

  et al .( 200 4) 21 .Explici tconsideratio n o funcertaint y (relate dt o CC impacts ) Uncertaintie s ar e no t glosse d ove r bu tcommunicate d (in fina lreports ,orally ) Diet z et al .( 200 3), Brugnac h et al .( 200 8) Researcher s ar e willin g to tal k wit h stakeholder s abou tuncertaintie s Diet z et al .( 200 3), Brugnac h et al .( 200 8) 22 .Broa d communicatio n (on CC impacts /media/loftslag/Huntjens_etal-2010-Climate-change-adaptation-Reg_Env_Change.pdf

• 27. D2.3_CES_Prob_fcsts_GCMs_and_RCMs

  ) of the forthcoming changes are uncertain. This uncertainty comes from three basic sources: z Scenario uncertainty: future changes in the atmospheric composition, and thus the external forcing of the climate system, depend on the magnitude of future anthropogenic emissions of greenhouse gases and other radiatively active substances such as aerosol particles and their precursor gases. z Modelling /media/ces/D2.3_CES_Prob_fcsts_GCMs_and_RCMs.pdf

• 28. programme2---PhD-Workshop-preceding-Adaptation-Research-Conference

  & 4 Y u a n g Z h e n g D e n m a r k F o r e s t r y & L a n d s c a p e 2 1 0 A t h a n a s i o s V o t s i s F i n l a n d U r b a n & r e g i o n a l p l a n n i n g 3 3 2 E i v i n d J u n k e r N o r w a y L a w 4 3 3 M i c h a e l L a i h o F i n l a n d E u r o p e a n s t u d i e s 5 2 0 H e c to r G u i n e a B a r r i e n to s S w e d e n N a t u r a l r e s o u /media/loftslag/programme2---PhD-Workshop-preceding-Adaptation-Research-Conference.pdf

• 29. Paper-Olafur-Rognvaldsson_92

  Numerical simulations of precipitation in the complex terrain of Iceland—Comparison with glaciolog- ical and hydrological data. Meteorol. Z., 16(1), 71–85. Rögnvaldsson, Ó. and Ólafsson H. 2008. Dynamical downscaling of precipi- tation – Part I: Comparison with glaciological data. Proceedings of the XXV Nordic Hydrological Conference, Reykjavík, Iceland. Tómasson, H. 1982. Vattenkraft i Island och dess /media/ces/Paper-Olafur-Rognvaldsson_92.pdf

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

  /media/ces/Adalgeirsdottir-etal-tc-5-961-2011.pdf