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London scoping - ukcip

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Final Report<br />

54<br />

Figure 4.7 Winter (December to February) precipitation anomalies (%) for the Eastern England<br />

grid box of HadCM3 (grey) compared with a downscaled (red) scenario for Kew, both<br />

from the Medium-High Emission scenario. The downscaled scenarios were produced<br />

using the Statistical DownScaling Model (SDSM) forced by HadCM3 predictor<br />

variables from the A2 experiment (http://www.sdsm.org.uk/). Anomalies were<br />

calculated with respect to the 1961-1990 averages.<br />

Precipitation anomaly (%)<br />

100<br />

50<br />

-50<br />

-100<br />

4.6 Key Uncertainties<br />

0<br />

1960 1980 2000 2020 2040 2060 2080 2100<br />

Before the potential impacts of the UKCIP02 and SDSM climate changes for <strong>London</strong> are<br />

discussed, it is imperative that the key uncertainties attached to the scenarios be identified:<br />

Although the emissions used as the basis of the UKCIP02 scenarios represent the<br />

full range reported by the IPCC (2001), the scenarios available herein for statistical<br />

downscaling (just the Medium-High Emissions and Medium-Low Emissions<br />

scenarios) represent a narrower range. It is also currently impossible to assign<br />

probabilities to the various emission scenarios.<br />

There are a large number of scientific uncertainties concerning the future behaviour<br />

of emitted greenhouse gases, the significance of aerosols and soot particles,<br />

carbon-cycle feedbacks and ocean responses to greenhouse gas forcing. Different<br />

global and regional climate models will, therefore, produce different results<br />

depending on the treatment of these factors. The HadCM3 model produces rainfall<br />

changes close to the model range for winter, but simulates a larger reduction in<br />

summer rain than most models. Such inter-model differences over the UK may be<br />

expressed as uncertainty margins to be applied to the UKCIP02 scenarios of<br />

change in temperature and precipitation (Table 4.8).

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