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Climate change and uncertainty: consequences for policy making on adaptive responses Helge Drange
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Some observations Temperature Precipitation Sea level
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2008
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2009
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2010
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2011
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1911
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Distribution of observed summer temperature 1960-2011
(1σ ~ 1/3; 2σ ~ 1/20; 3σ ~ 1/400; 4σ ~ 1/16000) 1/400 1/16.000 Hansen et al. (2012)
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Relative humidity in air (%) (Clausius-Clapeyrons
Precipitation: Air's water vapour holding capacity increases with increasing temperature 90 80 70 60 50 40 20 10 Relative humidity in air (%) Temperature (°C) 5-7 % increase pr °C increase (Clausius-Clapeyrons expression) Regions with high humidity get wetter Incr´d precip Regions with low humidity get incr problems forming clouds Reduced precip There is huge uncertainty in global precipitation projections, relating both to climate sensitivity and mitigation pathways. 10
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Observed mean change in precipitation, 1951-2010
Winter (mm/decade) Wetter Dryer van den Besselaar et al (2012)
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Observed mean change in precipitation, 1951-2010 Summer (mm/decade)
Dryer summers (but incr’d extreme precip) van den Besselaar et al (2012)
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Global sea level from tide gauges and satellite
( ) Present increase of ~3 mm pr year Change in sea level (cm) Church & White (2006) + AVISO
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Earth´s climate is changing.
Summary: Earth´s climate is changing. Mainly caused by human emissions of greenhouse gasses.
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uncertainty ≠ no certainty
What we are heading at uncertainty ≠ no certainty
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Change in global temperature, 15 models
(relative to )
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Change in global temperature, 15 models
(relative to ) +2 °C For a global, mean warming of ~2 degrees C, which we may experience around 2050, Earth's climate will be comparable to the climate ~3.2 mill years ago Global emission top in 2040, 650 ppm CO2-eq in 2100
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On local scale Much harder to do local than continental/global climate projections Random fluctuations in climate is particularly important on local scale and is, unfortunately, essentially unpredictable [May therefore experience periods without (apparent) climate change] Fine-scale climate projections can be made, but added value beyond the visible aspect (“looking nice”) can and should be questioned Harder to make projections of precipitation than temperature; very hard to make projections about local changes in extremes
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Western Norway, 14 September 2005
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14 Sep 2005
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Changes in observation-based precipitation intensity vs global warming
+100 Intensity category (bins of 10%) Shiu et al (2012)
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Changes in observation-based precipitation intensity vs global warming
+100 0 to -20 Intensity category (bins of 10%) Shiu et al (2012)
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Changes in modelled precipitation intensity vs global warming +10
Intensity category (bins of 10%) Shiu et al (2012)
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Uncertainty in global and regional temperature projections
Hawkins and Sutton (2009) Global scale Internal unc Emsission uncertainty Model uncertainty
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Uncertainty in global and regional temperature projections
Hawkins and Sutton (2009) Global scale Great Britain Internal unc Emsission uncertainty Model uncertainty
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Uncertainty in global and regional temperature projections
Hawkins and Sutton (2009) Global scale Great Britain Internal unc Far future: Uncertainty from emissions & models Emsission uncertainty Model uncertainty Near future: Random variations very important
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Total: Warming of the ocean Glaciers melting Greenland and Antarctica
May contribute 20 cm in this century Total: cm in 2100 +1 (?) m in 2200 Glaciers melting May contribute cm in this century Greenland and Antarctica May contribute cm in this century (large uncertainties)
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Relative sea level rise caused by melting of land ice
Factor Riva et al. (2010)
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Summary – We are approaching a climate never experienced by modern man
– It is misleading to provide and use one number for a future change in one climate variable – It can be very misleading to use input from one model run to characterise future climate – Ideally, several models, scenarios and approaches should be used to get best estimate and likely range of changes in future climate – Continuous communication and interaction between climate scientists and “end-users” are highly recommended, and possibly the single most important aspect regarding the handling of uncertainty
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Observed wind
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Observed wind speed trend, 1979-2008
(m/s per decade) Vautard et al. (2010)
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Observed storm activity over the British Isles, North Sea and Nordic Sea
Long-term decline, large variability, very hard (impossible) to predict variations on time scales shorter than ~30 years KNMI, suppl. (2009) and IPCC (2007)
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