IDEAS home Printed from https://ideas.repec.org/a/spr/climat/v129y2015i1p307-321.html
   My bibliography  Save this article

Downscaled estimates of late 21st century severe weather from CCSM3

Author

Listed:
  • Vittorio Gensini
  • Thomas Mote

Abstract

High-resolution dynamical downscaling is used to explore 2080–2090 peak-season hazardous convective weather as simulated from the Community Climate System Model version 3. Downscaling to 4 km grid spacing is performed using the Weather Research and Forecasting model. Tornadoes, damaging wind gusts, and large hail are simulated using a model proxy at hourly intervals for locations east of the U.S. Continental Divide. Future period results are placed into context using 1980–1990 output. While a limited sample size exists, a statistically significant increase in synthetic severe weather activity is noted in March, whereas event frequency is shown to slightly increase in April, and stay the same in May. These increases are primarily found in the Mississippi, Tennessee, and Ohio River valleys. Diurnally, most of the increase in hazardous convective weather activity is shown to be in the hours surrounding local sunset. Peak-season severe weather is also shown to be more variable in the future with a skewed potential toward larger counts. Finally, modeled proxy events are compared to environmental parameters known to generate hazardous convective weather activity. These environmental conditions explain over 80 % of the variance associated with modeled reports during March–May and show an increasing future tendency. Finally, challenges associated with dynamical downscaling for purposes of resolving severe local storms are discussed. Copyright Springer Science+Business Media Dordrecht 2015

Suggested Citation

  • Vittorio Gensini & Thomas Mote, 2015. "Downscaled estimates of late 21st century severe weather from CCSM3," Climatic Change, Springer, vol. 129(1), pages 307-321, March.
  • Handle: RePEc:spr:climat:v:129:y:2015:i:1:p:307-321
    DOI: 10.1007/s10584-014-1320-z
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s10584-014-1320-z
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/s10584-014-1320-z?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. Kelly Mahoney & Michael A. Alexander & Gregory Thompson & Joseph J. Barsugli & James D. Scott, 2012. "Changes in hail and flood risk in high-resolution simulations over Colorado's mountains," Nature Climate Change, Nature, vol. 2(2), pages 125-131, February.
    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. Alex M. Haberlie & Brendan Wallace & Walker S. Ashley & Vittorio A. Gensini & Allison C. Michaelis, 2024. "Mesoscale convective system activity in the United States under intermediate and extreme climate change scenarios," Climatic Change, Springer, vol. 177(6), pages 1-26, June.

    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. F. G. Santeramo & B. K. Goodwin & F. Adinolfi & F. Capitanio, 2016. "Farmer Participation, Entry and Exit Decisions in the Italian Crop Insurance Programme," Journal of Agricultural Economics, Wiley Blackwell, vol. 67(3), pages 639-657, September.
    2. Vigani, Mauro & Khafagy, Amr & Berry, Robert, 2024. "Public spending for agricultural risk management: Land use, regional welfare and intra-subsidy substitution," Food Policy, Elsevier, vol. 123(C).
    3. Adam D. McCurdy & William R. Travis, 2017. "Simulated climate adaptation in stormwater systems: evaluating the efficiency of adaptation strategies," Environment Systems and Decisions, Springer, vol. 37(2), pages 214-229, June.
    4. Derya Deniz & Erin E. Arneson & Abbie B. Liel & Shideh Dashti & Amy N. Javernick-Will, 2017. "Flood loss models for residential buildings, based on the 2013 Colorado floods," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 85(2), pages 977-1003, January.

    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:129:y:2015:i:1:p:307-321. 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.