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IPCC_Managing Risks of Extreme Events.pdf - Climate Access

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Chapter 4Changes in Impacts <strong>of</strong> <strong>Climate</strong> <strong>Extreme</strong>s: Human Systems and EcosystemsThese statistics imply the increasing cost <strong>of</strong> such disasters to society,regardless <strong>of</strong> cause. It is also important to note that the number <strong>of</strong>weather- and climate-related disasters has increased more rapidly thanlosses from non-weather disasters (Mills, 2005; Munich Re, 2011; SwissRe, 2011). This could indicate a change in climate extremes, but thereare other possible explanations (Bouwer, 2011). Drought and floodlosses may have grown due to a number <strong>of</strong> non-climatic factors, such asincreasing water withdrawals effectively exacerbating the impact <strong>of</strong>droughts, decrease in storage capacity in catchments (urbanization,deforestation, sealing surfaces, channelization) adversely affecting bothflood and drought preparedness, increase in run<strong>of</strong>f coefficients, andgrowing settlements in floodplains around urban areas (see Section4.2.2; Field et al., 2009).4.5.4.2. Potential Trends in Key <strong>Extreme</strong> ImpactsAs indicated in Sections 3.3 to 3.5 and Tables 3-1 and 3-3, climateextremes may have different trends in the future; some such as heatwaves are projected to increase over most areas in length, frequency,and intensity, while projected changes in some other extremes are givenwith less confidence. However, uncertainty is a key aspect <strong>of</strong> disaster/climate change trend analysis due to attribution issues discussed above,incomparability <strong>of</strong> methods, changes in exposure and vulnerability overtime, and other non-climatic factors such as mitigation and adaptation.A challenge is ensuring that the projections <strong>of</strong> losses from futurechanges in extreme events are examined not for current populationsand economies, but for scenarios <strong>of</strong> possible future socioeconomicdevelopment. See Box 4-2 for a discussion <strong>of</strong> this with respect tocyclones.It is more likely than not that the frequency <strong>of</strong> the most intense tropicalcyclones will increase substantially in some ocean basins (Section 3.4.4).Many studies have investigated impacts from tropical cyclones (e.g.,ABI, 2005a, 2009; Hallegatte, 2007; Pielke Jr., 2007; Narita et al., 2009;Bender et al., 2010; Nordhaus, 2010; Crompton et al., 2011). Table 4-3presents the projected percentage increase in direct economic losses fromtropical cyclones from a number <strong>of</strong> these studies, scaled to the year 2040relative to a common baseline (year 2000). There is high confidence thatincreases in exposure will result in higher direct economic losses fromtropical cyclones and that losses will also depend on future changes intropical cyclone frequency and intensity. One study, building on globalclimate model results from Bender et al. (2010), found that to attributeincreased losses to increased tropical cyclone activity in the UnitedStates with a high degree <strong>of</strong> certainty would take another 260 years <strong>of</strong>records, due to the high natural variability <strong>of</strong> storms and their impactsUS$ billions2502000Overall Losses in 2010 ValuesOf Which Insured in 2010 Values15010005001980198519901995200020052010Figure 4-8 | The overall losses and insured losses from weather- and climate-related disasters worldwide (in 2010 US$). These data for weather- and climate-related ‘great’ and‘devastating’ natural catastrophes are plotted without inclusion <strong>of</strong> losses from geophysical events. A catastrophe in this data set is considered ‘great’ if the number <strong>of</strong> fatalitiesexceeds 2,000, the number <strong>of</strong> homeless exceeds 200,000, the country’s GDP is severely hit, and/or the country is dependent on international aid. A catastrophe is considered‘devastating’ if the number <strong>of</strong> fatalities exceeds 500 and/or the overall loss exceeds US$ 650 million (in 2010 values). Data from Munich Re, 2011.271

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