89 results were found for X 정보이용료현금화 ≰ㅋr톡 1SEC≱ 티켓타카 Y 정보이용료현금화 전문 포탈 지난해🛤manoeuver/.

Results:

• 21. VanderKeur_etal-2008-Uncertainty_IWRM-WARM

  h stat us an d goal s Locat io n — u n ce rta in tie s re la te d to So urc e o fun certaint y Natur e (1)/typ e(2 )o f u n ce rta in ty Co mment s R hin e at (su b-) catch m en tleve l W at er re so u rc es issu es Id en tif ica tio n an d pr io rit y settin g o fu rge nt wat er re so u rc es pr ob le m s; co n fli ct in g in te re sts amon g sector s an d stakeh older s M ul tip le fra m es (so /media/loftslag/VanderKeur_etal-2008-Uncertainty_IWRM-WARM.pdf

• 22. Hare-2011-ParticipatoryModelling

  stage )Suppor t an d ski lls n ee de d Har e et a l. (2003 ) X X An aly se lin ks be tw ee n participator y structur e an d proces s implementatio n Ba rr et ea u et a l. (2010 ) X X X Pr o vid e cle ar de sc rip tio n o fproces s (m an ag e ex pe ct at io n s); monitorin g an d evaluatio n Bot s an d va n Daale n (2008 ) X X X X X Su pp o rt pr o ce ss de sig n Ad ap te d fra m ew o rk u se d in th /media/loftslag/Hare-2011-ParticipatoryModelling.pdf

• 23. D2.3_CES_Prob_fcsts_GCMs_and_RCMs

  climate changes between the CMIP3 and ENSEMBLES simulations 15 4. Impact of RCM data on forecasts of climate change 18 5. Probabilistic projections of temperature and precipitation change 24 5.1 Best estimates and uncertainty ranges of temperature and precipitation change 24 5.2 How probably will temperature increase (precipitation change) by at least X°C (Y%)? 28 6. Conclusions 34 References /media/ces/D2.3_CES_Prob_fcsts_GCMs_and_RCMs.pdf

• 24. VI2010-006_web

  /media/vedurstofan/utgafa/skyrslur/2010/VI2010-006_web.pdf

• 25. ces-glacier-scaling-memo2009-01

  is first derived (Figure 3, left). The cumulative area distribution function S(s) (shown on the x-axis) represents total area of all glaciers with area less than s (shown on the y-axis of the figure). Typically, the total glaciated area and an estimate of the area of a few of the TóJ 4 5.12.2009 Memo a71 a71a71 a71 Area (km2) Volume (km 3 ) 10 103 105 107 1 10 2 10 4 10 6 Icelandic ice caps, v /media/ces/ces-glacier-scaling-memo2009-01.pdf

• 26. vonKorff_etal-2010

  finished, and possibly tested before implementation starts (Bots 2007). Following Bots (2007), we note that the word “design” can denote an activity as well as a product. In this article, design as a product is synonymous with the participation plan (point y). This plan is based on design as an activity, represented here by the space between points x and y. What needs to happen in this phase (x /media/loftslag/vonKorff_etal-2010.pdf

• 27. 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

• 28. VI_2017_009

  we take the corresponding data from the CMIP5 project. Table 1. All GCMs and RCMs used in this study. If a model is available for any of the domains Arctic-44, EURO-44, or EURO-11, it is marked with a v, but with an x if it is unavailable. Model name Type EURO-11 EURO-44 Arctic-44 CCCma-CanESM2 GCM x v v COSMO-CLM4-8-17 RCM v v x CNRM-CERFACS-CNRM-CM5 GCM v v x IHCEC-EC-Earth GCM v v v /media/vedurstofan-utgafa-2017/VI_2017_009.pdf

• 29. IPPC-2007-ar4_syr

  series, of which about 28,000 are from European studies. White areas do not contain sufficient observational climate data to estimate a temperature trend. The 2 x 2 boxes show the total number of data series with significant changes (top row) and the percentage of those consistent with warming (bottom row) for (i) continental regions: North America (NAM), Latin America (LA), Europe (EUR), Africa /media/loftslag/IPPC-2007-ar4_syr.pdf

• 30. esa_flyer_new

  EA Analyse A/S and Optensys Energianalys will forecast energy system variables, while SINTEF Energy Research will make assumptions for the energy system in different cases, include new inputs in the EMPS model and carry out simulations. Cl i ma t e Sc e nar i os G ro u p R i s ø St o c h as t i c v a r i a b l e s Clima t e s c e n a r i o NV E S M H I FE I N o r w a y S w e d e n F inla n /media/ces/esa_flyer_new.pdf