15 results were found for 柬埔寨福利来集团返点_微电同号⒔099�B1⒓⒘1_qq⒓⒘⒖�B19袭bakew来自主汽.

Results:

• 1. CES_D2.4_solar_CMIP3

  -2049. Projections are based on simulations performed with 18 global climate models under the SRES A1B, A2 and B1 greenhouse gas scenar- ios. To facilitate reading the report, only the most essential diagrams and maps are included in the main text, additional material being positioned in the appendix. 1 MODELLED SOLAR RADIATION DATA The quantity examined is incident solar radiation (also termed /media/ces/CES_D2.4_solar_CMIP3.pdf

• 2. raisanen_ruosteenoja_CES_D2.2

  of greenhouse-gas- induced climate change becomes stronger. The sensitivity of the findings to the evolution of greenhouse gas emissions was also studied, by comparing forecasts derived for the SRES B1, A1B and A2 scenarios. However, due to the relatively short time frame considered, this source of uncertainty proved to be smaller than the uncertainties arising from natural climate variability /media/ces/raisanen_ruosteenoja_CES_D2.2.pdf

• 3. Burnett_Dougal_CES_2010

  30 year time periods (2010-2099) • Three future emission scenarios: (low, medium, high) – Comprise of three IPCC Emissions Scenarios: SRES A1FI, SRES A1B, SRES B1 • User Tools: user interface, weather generator, customisable maps and graphs. UK Solar Resource present and future Projecting the UKCP09 anomalies onto the baseline mode Present climate grid (5km x 5km) Future projections rotated grid /media/ces/Burnett_Dougal_CES_2010.pdf

• 4. Journal_of_Hydrology_Veijalainen_etal

  the cascade of uncer- tainty becomes greater, which is always the case in this kind of complex analysis of climate change and extreme events (e.g. Men- zel et al., 2006). 3.1. Climate scenarios The climate scenarios in this study are from four global climate models (GCM) and means of 19 global climate models with three SRES (IPCC, 2000) emission scenarios (A2, B1 and A1B) and four re- gional /media/ces/Journal_of_Hydrology_Veijalainen_etal.pdf

• 5. Water_resources_man_Veijalainen_etal

  ENSEMBLES data archive) and their projected annual changes in temperature and precipitation in the Vuoksi watershed by 2070–2099 compared with the reference period 1971–2000 No. GCM (see IPCC 2007) RCM Emission Abbreviation T change P change scenario (◦C) (%) 1 19 GCM mean – A2 Mean-A2 4.91 18.4 2a 19 GCM mean – A1B Mean-A1B 4.29 16.2 3 19 GCM mean – B1 Mean-B1 3.09 12.1 4 ECHAM5/MPI-OM – A2 /media/ces/Water_resources_man_Veijalainen_etal.pdf

• 6. Kok_2-scenarios-lecture-2

  in development/policy • Plausible futures • No ‘desired’ future (no ‘doom or gloom’) EURURALIS: Model chain EU 25 arable and pasture land 160000 170000 180000 190000 200000 2000 2010 2020 2030 year # kh a A1 A2 B1 B2 EURURALIS: GTAP/IMAGE model EURURALIS: CLUE model Example 1c: MedAction Focus on participation and storylines Example 3: MedAction Land use change scenarios at various scales To better /media/loftslag/Kok_2-scenarios-lecture-2.pdf

• 7. Perrels-CBA

  / design, availability, materials, ICT, modal split) 26.8.2011Adriaan Perrels/IL 5 Categorising stages of adaptation Passive Adaptation - automatic in nature and economy - only ex post measures (no anticipation) Active Adaptation - automatic in nature and economy - ex ante and ex post policies Emission scenario dependent baseline (A1-T, B1, A2, etc.) Reference costs and benefits /media/loftslag/Perrels-CBA.pdf

• 8. IPPC-2007-ar4_syr

  Special Report on Emissions Scenarios (SRES, 2000). The SRES scenarios are grouped into four scenario families (A1, A2, B1 and B2) that explore alternative development pathways, covering a wide range of demographic, economic and technological driving forces and resulting GHG emissions. The SRES scenarios do not include additional climate policies above current ones. The emissions projections are widely /media/loftslag/IPPC-2007-ar4_syr.pdf

• 9. 2010_005_

  for Iceland were made. The CE project used an ensemble of six GCMs and RCMs from the PRUDENCE project for four different emissions scenarios (B1, B2, A2, and A1FI) developed by the Intergovernmental Panel on Climate Change (IPCC). The GCMs used by the CE project showed more warming during winter than summer. During winter, the median projected warming from 1961–90 to 2070–99 ranged from 3–6 K, and from 2 /media/ces/2010_005_.pdf

• 10. D2.3_CES_Prob_fcsts_GCMs_and_RCMs

  on Climate Change best estimates for the global mean temperature change by the end of the 21st century vary from 1.8 qC to 4.0 qC between the SRES scenarios with the smallest (B1) and the largest (A1FI) greenhouse gas emissions (IPCC 2007). For shorter time horizons, however, the scenario uncertainty is much smaller. On one hand, there is inertia in the socio-economical system /media/ces/D2.3_CES_Prob_fcsts_GCMs_and_RCMs.pdf