Analysis of climatic factors leading to future summer heatstroke risk changes in Tokyo and Sendai based on dynamical downscaling of pseudo global warming data using WRF

Miguel Yamamoto, Masataka Kasai, Tsubasa Okaze, Kazumasa Hanaoka, Akashi Mochida

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)

Abstract

This study aims to clarify the regional characteristics of climate change and its impact on heatstroke risk inside the cities of Tokyo and Sendai, Japan. First, meteorological simulations using the Weather Research and Forecasting model (WRF) were performed. Pseudo global warming data were used as the boundary conditions for WRF simulations for the global-scale current and future climates in the 2000s and 2050s. The increase in wet-bulb globe temperature (WBGT) was larger in Sendai than in Tokyo, and the increase in WBGT in the coastal areas of both cities became larger than that in the inland area. Then, heatstroke risk and incidence rate, which represent the potential risk, were analyzed based on the WBGT distribution. Furthermore, contributions of three types of temperature (wet-bulb, globe, and dry-bulb temperatures) in increasing the WBGT were analyzed in order to clarify the primary meteorological factors for the increase in WBGT in each region. It was found that the wet-bulb temperature is the dominant factor in the increase in WBGT in most regions.

Original languageEnglish
Pages (from-to)187-197
Number of pages11
JournalJournal of Wind Engineering and Industrial Aerodynamics
Volume183
DOIs
Publication statusPublished - 2018 Dec

Keywords

  • Dynamical downscaling
  • Future prediction
  • Heatstroke risk
  • Mesoscale meteorological simulation
  • Pseudo global warming data
  • Wet-bulb globe temperature

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Renewable Energy, Sustainability and the Environment
  • Mechanical Engineering

Fingerprint Dive into the research topics of 'Analysis of climatic factors leading to future summer heatstroke risk changes in Tokyo and Sendai based on dynamical downscaling of pseudo global warming data using WRF'. Together they form a unique fingerprint.

Cite this