I discuss this question in the context of the need for an independent, authoritative perspective on technology assessment in my latest column for Bridges.

Ryan Crompton and John McAneney of Macquarie University in Sydney, Australia have an important new paper in the August, 2008 issue of the journal Environmental Science & Policy titled “Normalised Australian insured losses from meteorological hazards: 1967–2006.” (Available to subscribers here). The paper contributes to a growing literature that documents the importance of understanding the integrated effects of societal change and climate change. The paper also underscores the central role that adaptation policies must play in climate policy.

The abstract states:

Since 1967, the Insurance Council of Australia has maintained a database of significant insured losses. Apart from five geological events, all others (156) are the result of meteorological hazards—tropical cyclones, floods, thunderstorms, hailstorms and bushfires. In this study, we normalise the weather-related losses to estimate the insured loss that would be sustained if these events were to recur under year 2006 societal conditions. Conceptually equivalent to the population, inflation and wealth adjustments used in previous studies, we use two surrogate factors to normalise losses—changes in both the number and average nominal value of dwellings over time, where nominal dwelling values exclude land value. An additional factor is included for tropical cyclone losses: this factor adjusts for the
influence of enhanced building standards in tropical cyclone-prone areas that have markedly reduced the vulnerability of construction since the early 1980s.

Once the weather-related insured losses are normalised, they exhibit no obvious trend over time that might be attributed to other factors, including human-induced climate change. Given this result, we echo previous studies in suggesting that practical steps taken to reduce the vulnerability of communities to today’s weather would alleviate the impact under any future climate; the success of improved building standards in reducing tropical cyclone wind-induced losses is evidence that important gains can be made through disaster risk reduction.

The text of the paper includes this discussion:

The collective evidence reviewed above suggests that societal factors – dwelling numbers and values – are the predominant
reasons for increasing insured losses due to natural hazards in
Australia. The impact of human-induced climate change on insured losses is not detectable at this time. This being the case, it seems logical that in addition to efforts undertaken to reduce global greenhouse gas emissions, significant investments be made to reduce society’s vulnerability to current and future climate and the associated variability. Employing both mitigation and adaptation contemporaneously will benefit society now and into the future.

We are aware of few disaster risk reduction policies explicitly developed to help Australian communities adapt to a changing climate, yet disaster risk reduction should be core to climate adaptation policies (Bouwer et al., 2007). . .

An increased threat from bushfires under human-induced climate change is often assumed. Indeed Pitman et al. (2006) and others anticipate an increase in conditions favouring bushfires. However, analyses by McAneney (2005) and Crompton et al. (in press) suggest that the main bushfire menace to building losses will continue to be extreme fires and that the threat to the most at-risk homes on the bushland– urban interface can only be diminished by improved planning regulations that restrict where and how people build with respect to distance from the forest. Disaster risk reduction of this kind would immediately reduce current and future society’s vulnerability to natural hazards.

Please read the whole paper.

Climateandinsurance.org has an interview with my colleague and co-author Rade Musulin, of Aon Re Australia. Rade discusses our recent paper on normalized hurricane losses.

You can read the interview here.

Yesterday the U.S. Climate Change Science Program released an assessment report titled “Weather and Climate Extremes in a Changing Climate” (PDF) with a focus on the United States. This post discusses some interesting aspects of this report, with an emphasis on what it does not show and does not say. It does not show a clear picture of ever increasing extreme events in the United States. And it does not clearly say why damage has been steadily increasing.

First, let me emphasize that the focus of the report is on changes in extremes in the United States, and not on climate changes more generally. Second, my comments below refer to the report’s discussion of observed trends. I do not discuss predictions of the future, which the report also covers. Third, the report relies a great deal on research that I have been involved in and obviously know quite well. Finally, let me emphasize that anthropogenic climate change is real, and deserving of significant attention to both adaptation and mitigation.

(more…)

Mark Shafer, director of climate services at the Oklahoma Climatological Survey, reviews The Honest Broker in the May, 2008 Bulletin of the American Meteorological Society. It is a positive review. He writes:

Pielke’s discussion of climate change politics is excellent. He seizes on the central issue in climate change politics: that those opposed to action (based on value decisions) raise scientific uncertainty as a reason for delay or inaction. In response, scientists focus on reducing or eliminating uncertainty to undermine grounds for opposition to action rather than focusing on the merits of the argument, which is really a values-based decision irrespectie of the science.

The conclusion to the review is very positive:

The basic framework of the book and its discussion of the importance of considering values and uncertainty are strong. the numerous examples he offers are instructive. Anyone engaged in policy, even on the periphery, would benefit from this discussion.

Get your copy today!! Now 20% off at CUP!!

Kevin Vranes and I have just had a paper accepted for publication on historical earthquake losses in the United States.

Vranes, K., and R. A. Pielke, Jr., 2008 (in press). Normalized earthquake damage and fatalities in the United States: 1900 – 2005, Natural Hazards Review. (PDF)

The dataset that we present in the paper will allow for a range of interesting analyses. Here is the abstract:

Damage estimates from 80 United States earthquakes since 1900 are “normalized” to 2005 dollars by adjusting for inflation, increases in wealth and changes in population. A factors accounting for mitigation at 1% and 2% loss reduction per year are also considered. The earthquake damage record is incomplete, perhaps by up to 25% of total events that cause damage, but all of the most damaging
events are accounted for. For events with damage estimates, cumulative normalized losses since 1900 total $453 billion, or $235 billion and $143 billion when 1% and 2% mitigation is factored respectively. The 1906 San Francisco earthquake and fire adjusts to $39 – $328 billion depending on assumptions and mitigation factors used, likely the most costly natural disaster in U.S. history in normalized 2005 values. Since 1900, 13 events would have caused $1B or more in losses had they
occurred in 2005; five events adjust to more than $10 billion in damages. Annual average losses range from $1.3 billion to $5.7 billion with an average across datasets and calculation methods of $2.5 billion, below catastrophe model estimates and estimates of average annual losses from hurricanes. Fatalities are adjusted for population increase and mitigation, with five events causing over 100 fatalities when mitigation is not considered, four (three) events when 1% (2%) mitigation is considered. Fatalities in the 1906 San Francisco event adjusts from 3,000 to over 24,000, or 8,900 (3,300) if 1% (2%) mitigation is considered. Implications for comparisons of normalized results with catastrophe model output and with normalized damage profiles of other hazards are considered.

UPDATE: At Dot Earth Andy Revkin labels an excerpt from this op-ed the “quote of the day.”

I have an invited op-ed in today’s Financial Post (a Canadian newspaper with a skeptical editorial perspective on climate change). I argue that even though many scientists oversell the predictive capabilities of climate models, action on climate change still makes sense. Here is an excerpt:

So in the debate on what to do about climate change, what are we to make of the overstated claims of predictive accuracy offered by many scientists?
Not surprisingly, the reason for overstated claims lies in the bitter and contested politics of climate change. Myanna Lahsen, an anthropologist who has studied climate modelers, finds that many of these scientists are acutely aware of the fact that any expressed “caveats, qualifications and other acknowledgements of model limitations can become fodder for the anti-environmental movement.” She documents how, more than a decade ago, a prominent climate scientist warned a group of his colleagues at the National Center for Atmospheric Research, home of one of the main U.S. climate modeling efforts that informs the IPCC, to “Choose carefully your adjectives to describe the models. Confidence or lack of confidence in the models is the deciding factor in whether or not there will be policy response on behalf of climate change.”

I witnessed this dynamic in practice while I was waiting to testify on climate policy before the U.S. Congress in 2006. A prominent climate scientist testifying on the panel appearing before mine was asked by a member of Congress about uncertainties in predictions from climate models. The scientist replied, enthusiastically and accurately, that there are a range of important uncertainties coming from scenario inputs and choices in parameterization schemes, instantly overwhelming his congressional audience with technical detail. Much later, and after a long break, the scientist requested an opportunity to clarify his earlier comments, and this time he said, “I would like to give you a little more direct answer to the question on reliability of climate models. I think they are reliable enough to be a very useful guide into the future.”

Lost in the Manichean debate over climate change is the real significance of what climate models really are telling us: We should act on climate mitigation and adaptation not because we are able to predict the future, but because we cannot.

See it all here. Comments and reactions welcomed.

The ongoing Midwest floods are a horrible disaster. The United States however has seen a long-term trend of decreasing flood losses as a fraction of GDP, as shown in the following graph.

Sources

Flood damage data: Here (Note no data 1980-82)

GDP data: Here

For further reading:

Pielke, Jr., R.A., M. Downton, J. Z. B. Miller, S. A. Changnon, K. E. Kunkel, and K. Andsager, 2000: Understanding Damaging Floods in Iowa: Climate and Societal Interactions in the Skunk and Raccoon River Basins, Environmental and Societal Impacts Group, National Center for Atmospheric Research, Boulder, CO, August. (PDF)

Pielke, Jr., R. A. and M.W. Downton, 2000. Precipitation and Damaging Floods: Trends in the United States, 1932-97. Journal of Climate, 13(20), 3625-3637. (PDF)

Downton, M. and R. A. Pielke, Jr., 2005. How Accurate are Disaster Loss Data? The Case of U.S. Flood Damage, Natural Hazards, Vol. 35, No. 2, pp. 211-228. (PDF)

A very important new paper is forthcoming in the journal Climatic Change which has been published first online. The paper is:

P. Sheehan, 2008. The new global growth path: implications for climate change analysis and policy, Climatic Change (in press).

The paper argues that:

In recent years the world has moved to a new path of rapid global growth, largely driven by the developing countries, which is energy intensive and heavily reliant on the use of coal—global coal use will rise by nearly 60% over the decade to 2010. It is likely that, without changes to the policies in place in 2006, global CO2 emissions from fuel combustion would nearly double their 2000 level by 2020 and would continue to rise beyond 2030. Neither the SRES marker scenarios nor the reference cases assembled in recent studies using integrated assessment models capture this abrupt shift to rapid growth
based on fossil fuels, centred in key Asian countries.

This conclusion strongly supports the analysis that we presented in Nature (PDF)not long ago, in which we argued that the mitigation challenge was potentially underestimated in the so-called IPCC SRES (and pre- and post- SRES) scenarios due to overly aggressive assumptions about future trends in the decarbonization of the global economy. Such overly optimistic assumptions are endemic in the literature, found in the Stern Review, and IEA and CCSP assessments, among others.

Sheehan comes to similar conclusions:

To the extent that NGP is a reasonable projection of global trends on current policies out to 2030, it follows that all of the SRES marker scenarios seriously understate unchanged policy emissions over that time, and do so because they do not capture the extent of the expansion in energy use and emissions that is currently taking place in Asia. Nor, as a consequence, do they capture the rapid growth in coal use that is also occurring. . .

The SRES scenarios were a substantial intellectual achievement, and have stood the test of time for almost a decade. But the central feature of global economic trends in the early decades of the twenty-first century—the new growth path shaped by the sustained emergence of China and India, in the context of an open, knowledge-based world economy—could not be foreseen in the 1990s, and is not covered by these scenarios. Many of the SRES scenarios are no longer individually plausible, and as a whole the marker scenarios can no longer be said to ‘describe the most important uncertainties’. As a result, and especially given the emissions intensity of the new growth path, there is an urgent need for new approaches.

Unfortunately, a major obstacle to discussing (much less achieving) new approaches are the very public intellectual and political commitments that have been advanced, based on the earlier assumptions. Unwinding these commitments — as we have seen — will take some doing.

PS. See also the NYTs Andy Revkin and Elisabeth Rosenthal on China’s growing emissions here. As yet, the dots remain to be connected between such trends unfolding before our eyes and their incongruity with assumptions in energy policy assessments. But reality and policy assessments can diverge only for so long.

How can the world achieve economic growth while at the same time decarbonizing the global economy?

This question is important because there is apt to be little public or political support for mitigation policies that increase the costs of energy in ways that are felt in reduced growth. Consider this description of reactions around the world to the recent increasing costs of fuel:

(more…)