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54 results were found for 恒大vs绿城直播_50⒔4.com人人折.


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  • 1. Linnet_Ulfar_CES_2010

    °C/100y 1975-2000 • 2.35 °C/100y 2000- •Change in precipitation • Average increase 4.8% / 100 y • Range 3.3 – 7.2 % •Glaciers • Results from CES • 25% decrease in volume from 2000 to 2050 Temperature transformation Com parison of series 10000 12000 14000 16000 18000 20000 22000 1 9 5 0 1 9 5 2 1 9 5 4 1 9 5 6 1 9 5 8 1 9 6 0 1 9 6 2 1 9 6 4 1 9 6 6 1 9 6 8 1 9 7 0 1 9 7 2 1 9 7 4 1 9 7 6 1 9 7 8 1 /media/ces/Linnet_Ulfar_CES_2010.pdf
  • 2. Kjellstrom_Erik_CES_2010

    AN ENSEMBLE OF REGIONAL CLIMATE CHANGE SCENARIOS FOR THE NORDIC COUNTRIES Erik Kjellström, Martin Drews, Jens Hesselbjerg Christensen, Jan Erik Haugen, Hilde Haakenstad and Igor Shkolnik A changing climate in the Nordic region Climate change in Northern Sweden: Comparing 2071-2100 vs 1961-1990 (SRES A1B) Lind & Kjellström, 2008 A changing wind climate in the Nordic region? DJF MAM JJA SON /media/ces/Kjellstrom_Erik_CES_2010.pdf
  • 3. Kok_1-scenarios-lecture-1

    st c o ve r (% ) 8 x 8 y = -17.1Ln(x) + 67 R2 = 0.82 F o re st c o ve r (% ) 4 4 y = -4.2x + 65 R2 = 0.94 30 40 50 6 0 2 4 6 l ti it F o re st c o ve r (% ) 2 2 Hypothetical aggregation error by upscaling non-linear relationships Observed from hypothetical exampleTheo etical under inning (Rastetter, 1992) Spatial scale – Dominant cells Conclusions - scale • “Scale” has been on the (land use /media/loftslag/Kok_1-scenarios-lecture-1.pdf
  • 4. Kok_2-scenarios-lecture-2

    -11:30 Practical examples + conclusions • Exploratory scenario development – SAS approach • Group model building - Fuzzy Cognitive Maps • Normative scenario development - Backcasting Conclusions LECTURE 2 Scenario development In practice Content Lecture 2: scenario development in practice •Story-And-Simulation approach •Fuzzy Cognitive Mapping •Backcasting A Project goal - exploration vs /media/loftslag/Kok_2-scenarios-lecture-2.pdf
  • 5. Traffc-maintenance_expenditures

    Manage- Basic Purchase Road Road net- Const- Acquisi- Govern- Com- Participati- Value Miscel- Total 2009 ment and road of equip- system work post- ruction tion of ment missi- on of the added laneous cost operating manage- ment develop- poned-, of land grants ons European tax over- level costs ment ment comprehen- build- and com- Regional De- heads 1991- 1991- sive- and ings pensation /media/loftslag/Traffc-maintenance_expenditures.pdf
  • 6. Group3-The-future-of-the-Finnish-national-road-network

    The future of the Finnish national road network under changing climate Erik Schou Gudina L. Feyisa Karoliina Pilli-Sihvola NONAM summer school 26.8.2011 Copenhagen Fuzzy cognitive map -1 -0,5 0 0,5 1 1,5 1 3 5 7 9 11 13 15 17 19 21 Traffic Costs Policy CC Policy Traffic Research Tech Strat Nat.feat Costs 1 2 3 4 5 6 7 8 CC 1 0 0,2 0 0 0 0 0 0,7 Policy 2 0 0 -0,6 0,8 0 0 0 0 /media/loftslag/Group3-The-future-of-the-Finnish-national-road-network.pdf
  • 7. RaisanenJouni_CES_2010

    of winter mean temperature in Helsinki: 1961-2008 vs. 2010 Only best (multi-model average) estimates are shown here Shift to right: mild winters more common, cold winters less common Narrower distribution with a higher peak: a slight decrease in variability, i.e., largest warming of coldest winters -12 4 Note: probability ~ area How frequently at least as mild as in winter 2007-08 (+1.3°C)? 1961 /media/ces/RaisanenJouni_CES_2010.pdf
  • 8. Adalgeirsdottir-etal-tc-5-961-2011

    228± 4 224± 3 216± 2 212± 1 209± 0.5 206± 0.5 Vs MI [km3] 71.3 66.8 63.8 57.7 56.8 55.0 54.4 Vs MII [km3] 71.3 64.7 63.7 57.9 57.1 55.3 54.7 Table 4. Mean annual temperature (T ) at Hólar in Hornafjörður and precipitation (P ) at Fagurhólsmýri, averaged over the years from t1 to t2. Vo is the volume at the year t2, from Table 3. Vs is the volume of a stable spin-up glacier corresponding /media/ces/Adalgeirsdottir-etal-tc-5-961-2011.pdf
  • 9. Refsgaard_etal-2007-Uncertainty-EMS

    the model. Usually, the model is run within a graphical user interface (GUI) where many tasks have been automated.  STEP 4 (calibration and validation). This step is con- cerned with the process of analysing the model that was constructed during the previous step, first by calibrating the model, and then by validating its performance against independent field data. Finally, the reliability of model /media/loftslag/Refsgaard_etal-2007-Uncertainty-EMS.pdf
  • 10. Lorenzoni_Pidgeon_2006

    % of respondents have felt this way for a number of years. While comparable studies on both sides of the At- lantic indicate that on average people have negative feelings about the images they associate with climate change (see Lorenzoni et al., 2006), an OST/MORI survey in the UK (2004)2 also found that 62% of respondents described climate change as a “fairly bad thing” or a “very bad thing”’ (vs. 10% who /media/loftslag/Lorenzoni_Pidgeon_2006.pdf

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