58 results were found for q 강동오피┘‘dm080.com』☎강동건마✷강동휴게텔 강동키스방✭강동OP.

Results:

• 11. Paper-Olafur-Rognvaldsson_92

  a systematic com- parison of results to observed precipitation has been carried out. Un- dercatchment of solid precipitation is dealt with by looking only at days when precipitation is presumably liquid or by considering the occurrence and non-occurrence of precipitation. Away from non- resolved orography, the long term means (months, years) of observed and simulated precipitation are often /media/ces/Paper-Olafur-Rognvaldsson_92.pdf

• 12. Crochet_Philippe_CES_2010

  and 25% coldest years All years 1971-2000 25% coldest 25% warmest Change in number of flood events (POT) between 25% warmest and 25% coldest years POT > median Q peaks (71-00) barb2right +22% +1.7°CCatchment name POT > mean annual maximum Q (71-00) SW rain-shadow barb2right +156% barb2right -56% North rain-shadow South-SW exposedCenter North Catchment name Summary • All catchments showed signs /media/ces/Crochet_Philippe_CES_2010.pdf

• 13. VI_2014_005

  in an overall cold bias, compared with station measurements. To test, whether this is due to the HARMONIE model core or the external surface scheme, biases of 2-m temperature from SURFEX are com- pared with biases of temperature projected from the lowest two model levels to 2 mAGL. It is found that the negative temperature biases are due to shallow inversion layers near the ground, which are introduced /media/vedurstofan/utgafa/skyrslur/2014/VI_2014_005.pdf

• 14. Cradden_Lucy_CES_2010

  Capacity (A) F r e q u e n c y control future +0.4std dev (as % of mean) -0.68max -8.32min -1.74mean % change June 2010 15 Time series 450 500 550 600 650 700 Hour C a p a c i t y ( A ) Typical year of control period Seasonal average rating Calculated capacity 450 500 550 600 650 700 Hour C a p a c i t y ( A ) Typical year under future scenario Calculated capacity Seasonal average /media/ces/Cradden_Lucy_CES_2010.pdf

• 15. VI_2009_006_tt

  to theoretical framework. I do also want to thank him for an enjoyable time during this work, both in the office and in the field. This work was carried out as a part of the Skaftá cauldrons research project which was funded and supported by the Icelandic Centre For Research (RANNÍS), Kvískerja- sjóður, the NASA Astrobiology Institute, Landsvirkjun (the National Power Com- pany), the National Energy /media/vedurstofan/utgafa/skyrslur/2009/VI_2009_006_tt.pdf

• 16. VI_2015_005

  This is also the case with cyclones in all three sectors. Cyclones in the eastern or western sector are also strongly affected by the presence of central cyclones. In both sectors, cyclones tend to move east, unless there are cyclones in the neighbouring sector, in which case pressure tendencies are reversed. 21 Figure 10. Composite mean temporal MSLP tendencies, for different MSLP modes. Com- posite mean /media/vedurstofan/utgafa/skyrslur/2015/VI_2015_005.pdf

• 17. VI_2014_006

  the com- plexity of the hydrological processes through modelling, but its application is usually limited to the short-range. Although the results demonstrated a great potential for this method, its success- ful application in real-time will strongly depend on the quality and availability of streamflow observations, which can be poor or simply missing during periods of variable durations, e.g /media/vedurstofan/utgafa/skyrslur/2014/VI_2014_006.pdf

• 18. aerodrome_summaries_20140603

  M (171FT ) FRE Q UENCIE S (PE R CENT ) O F OCCU R RENC E O F CONCURREN T WIN D DIRECTIO N (I N 30 0 SEC T ORS ) AN D SPEE D (I N KN O TS ) WITHI N SPECIFIE D RANGE S ANN U A L WIN D WIN D SPEE D (KT) ) DIRECTIO N CAL M 1– 5 6–1 0 11–1 5 16–2 0 21–2 5 26–3 0 31–3 5 36–4 0 41–4 5 46–5 0 >5 0 T O T A L V ARIABL E 0 0 0 0 0 0 0 0 0 0 0 0 0 35-36-0 1 3 2 3 3 2 1 1 0 0 0 0 0 14 02-03-0 4 0 2 4 4 3 1 0 0 /media/vedur/aerodrome_summaries_20140603.pdf

• 19. FMI_-_Disaster_Mitigation

  (Percent) By Year Built Categories Percent of Homes Damaged By Year Built Categories 36 24 26 28 30 32 34 Pre 1980 80-96 97-2002 Post 2002 Percent Damaged All Homes – Damage Per Square Foot All Homes - Damage Per Square Foot 2 2.5 D a m a g e P e r S q . F o o t 0 0.5 1 1.5 < 120 120-129 130-139 140-149 > 149 D a m a g e P e r S q . F o o t Pre 1980 1980-1996 1997-2002 Post 2002 /media/loftslag/FMI_-_Disaster_Mitigation.pdf

• 20. Mid-Latitudes-Agenda1_nov2013EH

  Thursday, 14 November Time Agenda Item 09:00 – 10:30 09:00 – 09:20 09:20 – 09:40 09:40 – 10:00 10:00 – 10:30 Potential Arctic / Mid-Latitude Linkages - East Asia (Chair: Jim Overland) Rapid Arctic Warming in Recent Decades and Its Impact on Climate Change over East Asia - S-J Kim Extreme weather in northern mid-latitudes linked to cryosphere loss - Q Tang A cause of the AO /media/loftslag/Mid-Latitudes-Agenda1_nov2013EH.pdf