Climate change costs NZ in droughts, floods - Victoria University, NIWA

The New Zealand Herald

Climate change costs NZ in droughts, floods - Victoria University, NIWA

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New Zealand is already paying heavily for climate change - about $800 million from droughts and $140 million from floods in the last decade, say scientists. In this article written for the Herald's contribution to this week's international media campaign Covering Climate Now, the director of the New Zealand Climate Change Research Institute at Victoria University Professor Dave Frame and his colleagues Professor Ilan Noy (Victoria) and Dr Suzanne Rosier (NIWA) argue that the costs of climate change are hitting us now and may have been previously underestimated. Changes in the frequency and severity of extreme weather events are among the main ways climate change affects our lives. New Zealand has experienced three significant droughts over the last dozen years, and many damaging storms and extreme rainfall events. Some of these have been linked to the influence of climate change. Climate researchers try to quantify the human influence on extreme weather using techniques adapted from epidemiology. This branch of climate science is called event attribution. Event attribution lets us consider the severity and frequency of events like droughts or storms or extreme rainfall, and how these change with greenhouse gas concentrations. That can tell us about the expected severity and frequency of these events in a climate with lower concentrations of greenhouse gases, in the current climate, and potentially in future climates. READ MORE: Climate change: New Zealand emissions barely budge, transport emissions cuts urged NZ's big dry and climate change: What's the link? Climate change: We'll cut emissions in half by 2030 says Auckland Council Premium - Landmark hearing ahead on corporate climate change responsibility In New Zealand, scientists have been able to quantify the effects of climate change on extreme rainfall and drought events. For example, scientists estimate that climate change contributed significantly to the extreme rainfall experienced in Northland in 2014, nearly doubling the odds of such an event. Droughts are a bit more difficult because they can be measured in different ways and this affects the answers we get. The odds of the weather patterns that characterised the 2012/13 drought were between 10-40 per cent more likely because of climate change, with some of the breadth in the range arising from choices about definitions. One especially useful aspect of this research is that it allows scientists to quantify the contribution from climate change to an extreme weather event, but also, when we know the cost of the associated disaster, to quantify the climate change component of those costs. These calculations then provide us with the price tag of climate change, through its impact on extreme weather events. Over the past few years, researchers from Victoria University of Wellington and NIWA, and overseas partners at Lawrence Berkeley National Lab and the University of Oxford have been calculating these price tags. In two papers out this month we looked at events in New Zealand and Texas. The New Zealand Treasury estimated that the 2007/08 and 2012/13 droughts jointly reduced GDP in New Zealand by around $4.8 billion. We estimate that around $800 million of this cost is due to climate change. For New Zealand floods, the most costly 12 extreme weather events that caused flooding in the period 2007-18, contributed around $140 million in insurance losses that were caused because of the higher concentration of greenhouse gases in the atmosphere (because of climate change). The main insight here is that event attribution is showing that climate change is already causing significant losses to New Zealand. Climate change is not only a future problem, but it is costing us here and now. We also looked at the human climate change fingerprint on the damages associated with Hurricane Harvey that hit Houston, Texas, in 2017 with torrential rain and extensive flooding. The results are striking: we estimate that around US $67 billion of the Hurricane's overall US $90 billion are associated with climate change. This is a far higher estimate than that which would be obtained from conventional economic models for the cost of climate change in the US, such as in the model built by Nobel Prize winner William Nordhaus. Using the logic that underpinned a US EPA study in 2017, Nordhaus's model predicts total economic costs to the US economy in 2017, from climate change, to be around US$20 billion. Yet we find US$67 billion from a single event, in one big city, over a five day period. Huge storms such as Harvey are mercifully rare; but Harvey was one of four major hurricanes that made landfall in the U.S. that year. Our approach provides a more forensic quantification of human influence on extreme events that can help in several ways. It can be useful to agencies such as Central Banks, Treasuries and finance sector organisations as they grapple with the dynamic nature of climate change risks. It can be useful for policymakers who seek to understand how much should we spent on efforts to curb greenhouse gas emissions. The approach can also provide a useful line of evidence for those focused on actions that aim to compensate for climate change loss and damage. Finally, this approach may be of interest for investors as they consider divestment: if the social cost of carbon has been underestimated, and if this can actually lead to legal liability, then these constitute very powerful arguments why we should be divesting faster. This recent research is just a step along the road to developing this more detailed understanding of the economic costs attributable to climate change. In the long run the integration of quantitative social science and climate change event attribution will help decision-makers have a richer, better and more accurate understanding of the effects of climate change on the economy. The person was released by police after it was confirmed they held diplomatic immunity.