IDEAS home Printed from https://ideas.repec.org/a/spr/climat/v137y2016i3d10.1007_s10584-016-1693-2.html
   My bibliography  Save this article

Assessment of RCM and urban scenarios uncertainties in the climate projections for August in the 2050s in Tokyo

Author

Listed:
  • Hiroyuki Kusaka

    (University of Tsukuba)

  • Asuka Suzuki-Parker

    (University of Tsukuba
    Rissho University)

  • Toshinori Aoyagi

    (Meteorological Research Institute)

  • Sachiho A. Adachi

    (RIKEN Advanced Institute for Computational Science)

  • Yoshiki Yamagata

    (National Institute for Environmental Studies)

Abstract

This study provides the first attempt in quantifying the uncertainties in future urban climate projections due to regional climate models and metropolitan-scale urban planning scenarios. Targeted for the 2050s Augusts in Tokyo, Japan, dynamical downscaling simulations are conducted using two regional climate models, the WRF and NHRCM models, both downscaled from the global climate model MIROC5 under the RCP4.5 scenario. Both regional climate models are coupled with appropriate urban canopy models to accurately evaluate the urban climate. The projected 10-year mean temperature increases for the 2050s Augusts in the central Tokyo are roughly 2.4 °C and 2.2 °C, for the WRF and NHRCM models, respectively, with a roughly 0.2 °C difference between the two. Urban scenario experiments with the WRF model indicate that the compact city urban scenario can reduce the August mean temperature of surrounding residential areas by 0.4 °C, while the dispersed city scenario can increase the temperature by 0.1 °C. On the other hand, impact of urban scenarios on the temperature increase in central Tokyo is comparative or less than the surrounding areas. The impacts of urban scenario and regional climate model differences are larger in nighttime than in daytime, but are at most 0.6 °C. The results indicate that the uncertainties with the regional climate models and urban scenario are significantly less than those in emission scenarios or global climate model projections.

Suggested Citation

  • Hiroyuki Kusaka & Asuka Suzuki-Parker & Toshinori Aoyagi & Sachiho A. Adachi & Yoshiki Yamagata, 2016. "Assessment of RCM and urban scenarios uncertainties in the climate projections for August in the 2050s in Tokyo," Climatic Change, Springer, vol. 137(3), pages 427-438, August.
    • Handle: RePEc:spr:climat:v:137:y:2016:i:3:d:10.1007_s10584-016-1693-2
    DOI: 10.1007/s10584-016-1693-2
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10584-016-1693-2
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s10584-016-1693-2?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. D. Shin & Guillermo Baigorria, 2012. "Potential influence of land development patterns on regional climate: a summer case study in the Central Florida," 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. 62(3), pages 877-885, July.
    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. Ye, Bin & Jiang, Jingjing & Liu, Junguo & Zheng, Yi & Zhou, Nan, 2021. "Research on quantitative assessment of climate change risk at an urban scale: Review of recent progress and outlook of future direction," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).

    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. Ye, Bin & Jiang, Jingjing & Liu, Junguo & Zheng, Yi & Zhou, Nan, 2021. "Research on quantitative assessment of climate change risk at an urban scale: Review of recent progress and outlook of future direction," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).

    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:137:y:2016:i:3:d:10.1007_s10584-016-1693-2. 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.