45 results were found for 泰 来 88假 盘 泰 来 88官 网 【133-8888-3０56】私 ｎbｅi网.

Results:

• 11. BIGJ_windrose_2005-2014

  2 3 4 1 Wind rose BIGJ February 2005−2014 90 80 70 60 50 40 30 2010360350340 330 320 310 300 290 280 270 260 250 240 230 220 210 200 190 180 170 160 150 140 130 120 110 100 2 4 6 8 10 Frequency of wind direction (%) Aerodrome Total observations: 118 Calm: 5.1% Variable winds: 0% Average wind speed for wind direction Wind direction (°) Wind speed (knots ) 0 5 10 15 20 0 45 90 135 180 225 270 /media/vedur/BIGJ_windrose_2005-2014.pdf

• 12. GA_2009_91A_4_Andreassen

  -culate mass balance changes bs was modelled usingsnow depths calculated by the model (bs-m1). Thearea distribution from 1984 was used; any changesin area were neglected. We calculated the change inbw, bs and bn as well as change in days of maximumbw (bwd) and minimum bs (bsd) for a –1°C, +1°C,+2°C and +3°C change in temperature, for a –10%,+10%, +20% and +30% change in precipitation /media/ces/GA_2009_91A_4_Andreassen.pdf

• 13. 2010_003rs

  on the Reykjanes Peninsula (boxes B-F). .................................................................... 81 Table A.3. Fault parameters for mapped fault segments and clusters in the Hengill area and the South Iceland seismic zone (boxes G-I). ..................................... 82 Table A.4. Fault parameters for mapped fault segments on the Hestvatn fault (J-21) (box N /media/vedurstofan/utgafa/skyrslur/2010/2010_003rs.pdf

• 14. BIKF_windrose_2005-2014

  89 7 72 0 47 7 29 7 32 3 43 8 40 2 40 2 40 5 44 3 52 3 79 1 67 4 51 3 43 9 34 6 31 1 28 3 29 9 40 5 45 3 45 8 39 1 25 2 29 0 20 1 18 0 19 6 22 4 19 2 19 6 21 8 17 3 29 4 Wind rose BIKF May 2005−2014 90 80 70 60 50 40 30 2010360350340 330 320 310 300 290 280 270 260 250 240 230 220 210 200 190 180 170 160 150 140 130 120 110 100 1 2 3 4 5 6 7 Frequency of wind direction (%) Aerodrome Total /media/vedur/BIKF_windrose_2005-2014.pdf

• 15. BIVM_windrose_2005-2014

  Wind rose BIVM 2005 − 2014 90 80 70 60 50 40 30 2010360350340 330 320 310 300 290 280 270 260 250 240 230 220 210 200 190 180 170 160 150 140 130 120 110 100 1 2 3 4 5 6 7 8 Frequency of wind direction (%) Aerodrome Total observations: 42081 Calm: 0.58% Variable winds: 3.8% Average wind speed for wind direction Wind direction (°) Wind speed (knots ) 0 5 10 15 20 0 45 90 135 180 225 270 315 360 /media/vedur/BIVM_windrose_2005-2014.pdf

• 16. Climatic-Change-2012---Personality-type-differences-between-Ph.D.-climate-experts-and-general-public---implications-for-communication

  %) 14 (26%) 39 (74%) Gender Number (%) E I S N T F P J Male 100 (48%) 47 (47%) 53 (53%) 15 (15%) 85 (85%) 59 (59%) 41 (41%) 29 (29%) 71 (71%) Female 109 (52%) 66 (61%) 43 (39%) 22 (20%) 87 (80%) 43 (39%) 66 (61%) 21 (19%) 88 (81%) Climatic Change (2012) 112:233–242 237 symposia participants were not significantly different from the preferences of the U.S. general population, which was 49 /media/loftslag/Climatic-Change-2012---Personality-type-differences-between-Ph.D.-climate-experts-and-general-public---implications-for-communication.pdf

• 17. VI_2020_004

  -based maps ............................................................................ 81 5.4.5 Probability of exceedance and accumulation rate ............................................ 87 5.5 Towards an integration of the three explosive eruptive scenarios ............................. 93 6 Main conclusions and next steps /media/vedurstofan-utgafa-2020/VI_2020_004.pdf

• 18. VI_2009_012

  Distance corrected PGV. ......................... 14  Figure 3. Corrected magnitudes, Mw(v) plotted against log distance.. .................................. 17  Figure 4. Magnitude estimates as a function of Ci. ................................................................ 18  Figure 5. Observed/predicted PGV residuals for each station. .............................................. 20  Figure 6 /media/vedurstofan/utgafa/skyrslur/2009/VI_2009_012.pdf

• 19. ces-oslo2010_proceedings

  ............................................................................... 20 Räisänen, J. Probability distributions of monthly-to-annual mean temperature and precipitation in a changing climate ......... 22 Nikulin, G., Kjellström, E., Hansson, U., Strandberg G. and Ullerstig A. Nordic weather extremes as simulated by the Rossby Centre Regional Climate Model: Model evaluation and future projections /media/ces/ces-oslo2010_proceedings.pdf

• 20. D2.3_CES_Prob_fcsts_GCMs_and_RCMs

  AVAILABLE FROM: http://www.atm.helsinki.fi/~jaraisan/CES_D2.3/CES_D2.3.html 2 Table of Contents Abstract 1 1. Introduction 2 2. Model simulations 4 3. Methods used for deriving probabilistic climate change forecasts 7 3.1 Resampling and variance correction 9 3.2 Relationship between local and large-scale climate changes in ENSEMBLES simulations 10 3.3 Comparison of large-scale /media/ces/D2.3_CES_Prob_fcsts_GCMs_and_RCMs.pdf