91 results were found for D 정보이용료현금화 『TKTAKA1 COM』 티켓타카 E 정보이용료현금화 전문 포탈 캐시나라🧏🏾dismantle/.

Results:

• 31. Tornado_Impacts_-_FMI_Presentation

  -scale Category P e r c e n t a g e o f C a t e g o r y F a t a l i t i e s Permanent Homes Casualties and Timing Casualties and Time of Day 150 200 250 I n d e x V a l u e Fatalities 0 50 100 Overnight Morning Early Afternoon Late Afternoon Late Evening I n d e x V a l u e Injuries Nocturnal Tornadoes 7 8 9 10 R a t i o N i g h t t o O t h e r T i m e s 0 1 2 3 4 5 6 F0 F1 F2 F3 F4 F /media/loftslag/Tornado_Impacts_-_FMI_Presentation.pdf

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

  The Cryosphere, 5, 961–975, 2011 www.the-cryosphere.net/5/961/2011/ doi:10.5194/tc-5-961-2011 © Author(s) 2011. CC Attribution 3.0 License. The Cryosphere Modelling the 20th and 21st century evolution of Hoffellsjökull glacier, SE-Vatnajökull, Iceland G. Aðalgeirsdóttir1,2, S. Guðmundsson1, H. Björnsson1, F. Pálsson1, T. Jóhannesson3, H. Hannesdóttir1, S. Þ. Sigurðsson4, and E. Berthier5 /media/ces/Adalgeirsdottir-etal-tc-5-961-2011.pdf

• 33. Traffc-maintenance_expenditures

  grants ons European tax over- level costs ment ment comprehen- build- and com- Regional De- heads 1991- 1991- sive- and ings pensation velopment Mainten- Cons- life cycle according Fund in the ance 1960- truction financial to the structural fund 1990 1960- projects Road programmes 1990 Act1) of the EU Expenditure of Finnish Road Administration in 1960 - 2009 1 000 e 1980 42 409 153 761 14 /media/loftslag/Traffc-maintenance_expenditures.pdf

• 34. 2013_001_Nawri_et_al

  is then proportional to the mean cube of wind speed, E = 1 2 r¯ A3G(1+3=k) ; (3) where r¯ is average air density. Wind power density only depends on atmospheric variables, and is therefore most appropriate for turbine-independent evaluations of wind energy potential, such as for wind atlases. To be able to determine the actual power or energy, which can be extracted from the atmosphere, specific information /media/vedurstofan/utgafa/skyrslur/2013/2013_001_Nawri_et_al.pdf

• 35. VI_2014_006

  the results for all catchments, with that method. The deterministic predictions were also compared to two benchmark determinis- tic predictions, i) monthly climate in the period 1961–2000, i.e. F(t0 +D) = E[A(M)], and ii) persistence, i.e. F(t0 +D) = A(t0), where F is the forecast and A the observation or analysis. Figures 5 to 8 present the scatter plots of observed temperature and precipitation versus /media/vedurstofan/utgafa/skyrslur/2014/VI_2014_006.pdf

• 36. ces_risk_flyer

  applied in various case studies, the Risk Assessment Framework and its tools have been shown to aid visualisation of the risks and i i i d i h li h i h Supporting decision‐making t e g g te r s s an opportun t es n re at on to the likelihood of the examined scenarios and the likelihood of the risks and opportunities identified. The different quadrants of the table (act, prepare and monitor) guide /media/ces/ces_risk_flyer.pdf

• 37. TietavainenHanna_CES_2010

  versa • Very large range within the simulations • Larger number of observation stations in the study area leads to • better compatibility between different observational data sets • smaller bias in the model simulations CES Conference, Oslo 31.5.-2.6.2010 References • Haylock, M. R., Hofstra, N., Klein Tank, A. M. G., Klok, E. J., Jones, P. D. and New, M. 2008. A European daily high-resolution /media/ces/TietavainenHanna_CES_2010.pdf

• 38. Crochet_Philippe_CES_2010

  ≤   ≤ >− 0 00 0 )( TTif TTifTTDDFsnow   ≤ >− 0 00 0 )( TTif TTifTTDDFice Mean annual temperature difference Difference relative to 1971-2000 Difference between 25% warmest and 25% coldest years barb2right +1°C (25% warmest) barb2right -0.7°C (25% coldest) barb2right +1.7°C Catchment elevation (m.a.s.l) Catchment elevation (m.a.s.l) s n o w m e l t ( m m / d ) g l a c i a l m e l t /media/ces/Crochet_Philippe_CES_2010.pdf

• 39. 2010_005_

  which are significantly lower com- pared with similar beginning and end years. Consequently, for the 2004–50 period, the average RCM warming rates of 0.29 K per decade over the ocean, and 0.35 K per decade over the land are somewhat larger than for the reduced IPCC ensemble mean. Additionally, the tabulated values of SAT differences between the 1961–90 control period and either the 2021–50 /media/ces/2010_005_.pdf

• 40. norsem_atakan_norway

  European Plate Observing System - Norway (EPOS-N): Integrating the Norwegian Solid Earth Data Kuvvet Atakan1 and the EPOS-Norway Consortium2 1 Department of Earth Science, University of Bergen, Norway, E-mail: Kuvvet.Atakan@uib.no 2 EPOS www.epos-no.org The European Plate Observing System (EPOS) aims to create a pan-European infrastructure for solid Earth science to support a safe /media/norsem/norsem_atakan_norway.pdf