Short Profile:
I'm a climate change scientist with interests in climate change impact assessment, urban heat islands, regional climate modeling, global water resources, and machine learning.
My research began with statistical and dynamical downscaling of climate model outputs and examining the hydrological impacts of climate change.
Currently, I focus on accurately forecasting heat stress under global warming and developing effective adaptation and mitigation strategies for society.
To achieve these goals, I utilize a variety of tools, including multi-source datasets (e.g., station data, remote sensing, climate model simulations, mortality/morbidity observations), physical-based numerical modeling (e.g., WRF), and machine learning techniques.
Language Proficiency:
Chinese: Native English: Professional (TOEFL 101, GRE 324) Japanese: Daily Communication (JLPT N2 Certificate)
Relevant Skills:
Advanced skills in Python, R, MATLAB, Fortran, Bash (Linux), and machine learning.
Experience in conducting numerical simulation using GCM (MIROC, CESM), RCM (MRI-NHRCM, WRF), LSM (MATSIRO), and hydrological models.
Experience in conducting Environmental Epidemiology (exposure-response, e.g., temperature-mortality) analysis.
Research Fund:
• Towards modeling high-temporal-spatial-resolution heat stress exposure considering population dynamic: using the Tokyo Metropolitan Area as an example. Supported by JSPS Start Up. 2.86 Million JPY/2 Year, 2024-2025 (Lead).
• High-resolution spatiotemporal heat stress exposure assessment in Tokyo Metropolitan Area considering population movement. Supported by Digital Spatial Society (DSS), University of Tokyo. 1.7 Million JPY/1 Year, 2024 (Lead).
Selected Papers:
• Qiang Guo*, Malcolm N. Mistry, Xudong Zhou, Gang Zhao, Kanon Kino, Bo Wen, Kei Yoshimura, Yusuke Satoh, Ivana Cvijanovic, Yoonhee Kim, Chris Fook Sheng Ng, Ana M. Vicedo-Cabrera, Ben Armstrong, Aleš Urban, Klea Katsouyanni,
Pierre Masselot, Shilu Tong, Francesco Sera, Veronika Huber, Michelle L. Bell, Jan Kyselý, Multi-Country Multi-City (MCC) Collaborative Research Network, Antonio Gasparrini, Masahiro Hashizume, Taikan Oki, 2024:
Regional Variation in the Role of Humidity on City-level Heat-Related Mortality, PNAS Nexus, 3(8), pgae290.
(Press Release Article in English: U-Tokyo,
EurekAlert,
Alpha Galileo
in Japanese:U-Tokyo,
Tech+,
Nikkei (日経新聞)
)
• Qiang Guo*, Lei Yuan, Chris Fook Sheng Ng, and Masahiro Hashizume, 2024: Evaluating Japan's revised heat-health warning system in the face of recent escalating heat stress, Environmental Research Letters, 19, 054002.
• Qiang Guo*, and Kenshi Hibino, 2023: Physical responses of Baiu extreme precipitation to future warming: examples of the 2018 and 2020 western Japan events, Weather and Climate Extremes, Vol. 39, 100547.
• Qiang Guo*, Xudong Zhou, Yusuke Satoh, and Taikan Oki, 2022: Irrigated cropland expansion exacerbates the urban moist heat stress in northern India, Environmental Research Letters, 17, 054013.
• Qiang Guo, Jie Chen*, Xunchang John Zhang, Chong-Yu Xu, and Hua Chen, 2020: Impacts of Using State‐of‐the‐Art Multivariate Bias Correction Methods on Hydrological Modeling Over North America, Water Resources Research, 56(5), e2019WR026659.
• Qiang Guo, Jie Chen*, Xunchang John Zhang, Mingxi Shen, Hua Chen, and Shenglian Guo, 2019: A new two-stage multivariate quantile mapping method for bias correcting climate model outputs, Climate Dynamics, 53, 3603-3623.
Project Assistant Professor
Department of Global Health Policy
University of Tokyo
Work:
2024.10-Now, Project Assistant Professor (特任助教), University of Tokyo
2023.10-2024.09, Project Researcher (特任研究員), University of Tokyo
Education:
2020-2023, Ph.D., Civil Engineering, University of Tokyo
2017-2020, M.E., Hydrology, Wuhan University
2013-2017, B.E., Hydrology and Information Engineering, Huazhong University of Science and Technology (HUST)