IDEAS home Printed from https://ideas.repec.org/a/spr/climat/v121y2013i2p195-207.html
   My bibliography  Save this article

Projections of global warming-induced impacts on winter storm losses in the German private household sector

Author

Listed:
  • Hermann Held
  • Friedrich-Wilhelm Gerstengarbe
  • Tobias Pardowitz
  • Joaquim Pinto
  • Uwe Ulbrich
  • Kai Born
  • Markus Donat
  • Melanie Karremann
  • Gregor Leckebusch
  • Patrick Ludwig
  • Katrin Nissen
  • Hermann Österle
  • Boris Prahl
  • Peter Werner
  • Daniel Befort
  • Olaf Burghoff

Abstract

We present projections of winter storm-induced insured losses in the German residential building sector for the 21st century. With this aim, two structurally most independent downscaling methods and one hybrid downscaling method are applied to a 3-member ensemble of ECHAM5/MPI-OM1 A1B scenario simulations. One method uses dynamical downscaling of intense winter storm events in the global model, and a transfer function to relate regional wind speeds to losses. The second method is based on a reshuffling of present day weather situations and sequences taking into account the change of their frequencies according to the linear temperature trends of the global runs. The third method uses statistical-dynamical downscaling, considering frequency changes of the occurrence of storm-prone weather patterns, and translation into loss by using empirical statistical distributions. The A1B scenario ensemble was downscaled by all three methods until 2070, and by the (statistical-) dynamical methods until 2100. Furthermore, all methods assume a constant statistical relationship between meteorology and insured losses and no developments other than climate change, such as in constructions or claims management. The study utilizes data provided by the German Insurance Association encompassing 24 years and with district-scale resolution. Compared to 1971–2000, the downscaling methods indicate an increase of 10-year return values (i.e. loss ratios per return period) of 6–35 % for 2011–2040, of 20–30 % for 2041–2070, and of 40–55 % for 2071–2100, respectively. Convolving various sources of uncertainty in one confidence statement (data-, loss model-, storm realization-, and Pareto fit-uncertainty), the return-level confidence interval for a return period of 15 years expands by more than a factor of two. Finally, we suggest how practitioners can deal with alternative scenarios or possible natural excursions of observed losses. Copyright The Author(s) 2013

Suggested Citation

  • Hermann Held & Friedrich-Wilhelm Gerstengarbe & Tobias Pardowitz & Joaquim Pinto & Uwe Ulbrich & Kai Born & Markus Donat & Melanie Karremann & Gregor Leckebusch & Patrick Ludwig & Katrin Nissen & Herm, 2013. "Projections of global warming-induced impacts on winter storm losses in the German private household sector," Climatic Change, Springer, vol. 121(2), pages 195-207, November.
  • Handle: RePEc:spr:climat:v:121:y:2013:i:2:p:195-207
    DOI: 10.1007/s10584-013-0872-7
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s10584-013-0872-7
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/s10584-013-0872-7?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Quirin Schiermeier, 2012. "Models hone picture of climate impacts," Nature, Nature, vol. 482(7385), pages 286-286, February.
    2. Stern,Nicholas, 2007. "The Economics of Climate Change," Cambridge Books, Cambridge University Press, number 9780521700801.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Matthew Ranson & Lisa Tarquinio & Audrey Lew, 2016. "Modeling the Impact of Climate Change on Extreme Weather Losses," NCEE Working Paper Series 201602, National Center for Environmental Economics, U.S. Environmental Protection Agency, revised May 2016.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Stéphane Hallegatte, 2008. "A Proposal for a New Prescriptive Discounting Scheme: The Intergenerational Discount Rate," Working Papers 2008.47, Fondazione Eni Enrico Mattei.
    2. Strand, Jon, 2011. "Carbon offsets with endogenous environmental policy," Energy Economics, Elsevier, vol. 33(2), pages 371-378, March.
    3. Oliver Schenker, 2013. "Exchanging Goods and Damages: The Role of Trade on the Distribution of Climate Change Costs," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 54(2), pages 261-282, February.
    4. Alejandro Lopez-Feldman, 2013. "Climate change, agriculture, and poverty: A household level analysis for rural Mexico," Economics Bulletin, AccessEcon, vol. 33(2), pages 1126-1139.
    5. Bikki Jaggi & Alessandra Allini & Riccardo Macchioni & Annamaria Zampella, 2018. "Do investors find carbon information useful? Evidence from Italian firms," Review of Quantitative Finance and Accounting, Springer, vol. 50(4), pages 1031-1056, May.
    6. Steve Newbold & Charles Griffiths & Christopher C. Moore & Ann Wolverton & Elizabeth Kopits, 2010. "The "Social Cost of Carbon" Made Simple," NCEE Working Paper Series 201007, National Center for Environmental Economics, U.S. Environmental Protection Agency, revised Aug 2010.
    7. Richard Tol, 2011. "Regulating knowledge monopolies: the case of the IPCC," Climatic Change, Springer, vol. 108(4), pages 827-839, October.
    8. Melissa Dell & Benjamin F. Jones & Benjamin A. Olken, 2014. "What Do We Learn from the Weather? The New Climate-Economy Literature," Journal of Economic Literature, American Economic Association, vol. 52(3), pages 740-798, September.
    9. Grüll, Georg & Taschini, Luca, 2011. "Cap-and-trade properties under different hybrid scheme designs," Journal of Environmental Economics and Management, Elsevier, vol. 61(1), pages 107-118, January.
    10. Sam Fankhauser & Cameron Hepburn, 2009. "Carbon markets in space and time," GRI Working Papers 3, Grantham Research Institute on Climate Change and the Environment.
    11. Maxmillan Martin & Yi hyun Kang & Motasim Billah & Tasneem Siddiqui & Richard Black & Dominic Kniveton, 2017. "Climate-influenced migration in Bangladesh: The need for a policy realignment," Development Policy Review, Overseas Development Institute, vol. 35, pages 357-379, October.
    12. Dietz, Simon & Gollier, Christian & Kessler, Louise, 2018. "The climate beta," Journal of Environmental Economics and Management, Elsevier, vol. 87(C), pages 258-274.
    13. Stefano Bartolini & Francesco Sarracino, 2021. "Happier and Sustainable. Possibilities for a post-growth society," Department of Economics University of Siena 855, Department of Economics, University of Siena.
    14. Sheng, Yu & Xu, Xinpeng, 2019. "The productivity impact of climate change: Evidence from Australia's Millennium drought," Economic Modelling, Elsevier, vol. 76(C), pages 182-191.
    15. George Halkos & Iacovos Psarianos, 2016. "Exploring the effect of including the environment in the neoclassical growth model," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 18(3), pages 339-358, July.
    16. Mr. Jon Strand, 2007. "Energy Efficiency and Renewable Energy Supply for the G-7 Countries, with Emphasis on Germany," IMF Working Papers 2007/299, International Monetary Fund.
    17. Reinhard Mechler & Stefan Hochrainer & Asbjørn Aaheim & Håkon Salen & Anita Wreford, 2010. "Modelling economic impacts and adaptation to extreme events: Insights from European case studies," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 15(7), pages 737-762, October.
    18. Jasmina Ćetković & Slobodan Lakić & Angelina Živković & Miloš Žarković & Radoje Vujadinović, 2021. "Economic Analysis of Measures for GHG Emission Reduction," Sustainability, MDPI, vol. 13(4), pages 1-25, February.
    19. Nicholas Apergis & Alexandros Gabrielsen & Lee Smales, 2016. "(Unusual) weather and stock returns—I am not in the mood for mood: further evidence from international markets," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 30(1), pages 63-94, February.
    20. Thomas Aronsson & Olof Johansson-Stenman, 2014. "When Samuelson Met Veblen Abroad: National and Global Public Good Provision when Social Comparisons Matter," Economica, London School of Economics and Political Science, vol. 81(322), pages 224-243, April.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:climat:v:121:y:2013:i:2:p:195-207. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.