87 results were found for 重庆保利按摩 155乀2001乀5443宓...jCGJz4..CdT.

Results:

• 21. Paper-Olafur-Rognvaldsson_91

  This was made possible by taking advan- tage of the OSU land surface model (Chen and Dudhia, 2001). VERIFICATION OF SIMULATED PRECIPITATION Rögnvaldsson et al. (2007) simulated atmospheric flow over Iceland for the period September 1987 through June 2003 using version 3–5–3 of MM5 driven by initial and boundary data from the ECMWF. The simulated precipitation was compared with two types of indirect /media/ces/Paper-Olafur-Rognvaldsson_91.pdf

• 22. Machguth_Horst_CES_2010

  : 50 m a.s.l. (1980 – 2006) Accumulation, Mass Balance • Burgess et al., 2010 (1980 – 2006) • Stake network Paakitsoq (1982-1992) 5 / 16 6 / 16 data and test site 7 / 16 mass balance model 7 / simple energy balance model (based on Oerlemans, 2001) • numerical at daily steps • melt water retention (Reeh, 1991) • model input: 2 m air temperature (Ta), precipitation (P), global radiation (Sin /media/ces/Machguth_Horst_CES_2010.pdf

• 23. VI_2022_006_extreme

  the Peak-over-Threshold method can be found in Massad et al. (2020), Chapters 3 and 5.2, and were derived from Coles (2001). Results are shown in Table 6 for two catchments: Hálslón and Þingvallavatn. Return levels for the other watersheds are in Appendix III (Tables III.1 – 11). The return values are larger for Þingvallavatn than Hálslón. Þingvallavatn catchment extends northward over /media/vedurstofan-utgafa-2022/VI_2022_006_extreme.pdf

• 24. Pollution

  Persistent organic pollutants in precipitation and air have been monitored at Stórhöfði since 1995. Heavy metals in precipitation have been monitored at Stórhöfði since 2001 and in aerosol since 1995. The results are processed at the Icelandic Meteorological Office and sent to a European data base at the Norwegian Institute for Air Research, NILU. Stórhöfði - an internationally acknowledged /pollution-and-radiation/pollution/

• 25. Paper-Olafur-Rognvaldsson_92

  The simulation periods are, respectively; 1963– 2001, 1971–2001, 1963–2001, 1976–2001, 1976–2001 and 1991–2004. MM5 V3-5 MM5 V3-7 Station # Qmeas Qcalc Difference Qmeas Qcalc Difference 45 12.3 13.4 8.9% 10.3 10.8 5.0% 128 29.4 32.2 9.7% 22.4 25.3 13.0% 148 9.1 10.4 14.3% 8.2 7.9 −4.0% 198 26.8 25.4 −5.2% 15.5 15.3 −1.0% 200 48.4 53.9 11.4% 39.6 40.3 2.0% 265 19.6 20.8 6.1% 19.9 18.4 −8.0% • Away from /media/ces/Paper-Olafur-Rognvaldsson_92.pdf

• 26. vonKorff_etal-2010

  a prerequisite and an element of good governance and the sustainable management of natural resources” (Enserink et al. 2007, similar to Pahl-Wostl et al. 2008). The issue of public participation is becoming more important not only in natural resources management (Syme and Sadler 1994, Chess and Purcell 1999, Webler and Tuler 1999, Beierle and Konisky 2000, Bryner 2001, Webler and Tuler 2001, Beierle /media/loftslag/vonKorff_etal-2010.pdf

• 27. VI_2020_011_en

  /media/vedurstofan-utgafa-2020/VI_2020_011_en.pdf

• 28. Lorenzoni_Pidgeon_2006

  Introduction There is almost global consensus among the scientific community that there exists a causal relationship between human activities and climate change, with compelling evidence that climatic changes result from the combination of natural variability and human influences, in particular greenhouse gases emitted from the use of fossil fuels and land-use changes (Houghton et al., 2001). Climate /media/loftslag/Lorenzoni_Pidgeon_2006.pdf

• 29. Kjellstrom_Erik_CES_2010

  is not addressed in the CES/ENSEMBLES RCM-GCM matrix • Observations Simulated • Rubel and Hantel (2001) ECHAM5 Problems with global climate models Details in precipitation are not captured: example winter (DJF) 0 30 60 90 120 150 180 210 240 mm/month Downscaling methods: Improving global climate scenarios Global Regional Regional climate models (RCMs) head2right Increased resolution /media/ces/Kjellstrom_Erik_CES_2010.pdf

• 30. RaisanenJouni_CES_2010

  not representative of present or future climate conditions? Winter mean T in Helsinki (1961-2008) 1961- 20081961- 1990 Temperature (°C) P r o b a b i l i t y d e n s i t y -12 4 Simplest case: change in mean climate, with no change in the magnitude of variability If variability changes as well, the two tails of the distribution (e.g., warm and cold) will be affected differently. IPCC (2001 /media/ces/RaisanenJouni_CES_2010.pdf