2024

[14] 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) )

[13] 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.

2023

[12] 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.

2022

[11] Lei Gu*, Ziye Gu, Qiang Guo, Wei Fang, Qianyi Zhang, Huaiwei Sun, Jiabo Yin, and Jianzhong Zhou, 2022: Can satellite and atmospheric reanalysis products capture compound moist heat stress-floods?, Remote Sensing, 14(18), 4611.

[10] Yu Meng, Zengchao Hao*, Sifang Feng, Qiang Guo, and Yu Zhang, 2022: Multivariate bias corrections of compound dry and hot events in China based on CMIP6 model simulations, Environmental Research Letters, 17, 104005.

[9] 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.

[8] Lei Gu, Jie Chen*, Jiabo Yin*, Louise J. Slater, Hui-Min Wang, Qiang Guo, Maoyuan Feng, Hui Qin, and Tongtiegang Zhao, 2022: Global Increases in Compound Flood-Hot Extreme Hazards Under Climate Warming, Geophysical Research Letters, 49(8), e2022GL097726.

[7] Jie Chen*, Xiangquan Li*, Chong-Yu Xu, Xunchang John Zhang, Lihua Xiong, and Qiang Guo, 2022: Postprocessing Ensemble Weather Forecasts for Introducing Multisite and Multivariable Correlations Using Rank Shuffle and Copula Theory, Monthly Weather Review, 150(3), 551–565.

2021

[6] Yao Feng, Fubao Sun, Wenbin Liu*, Jie Chen, Hong Wang, Qiang Guo, Yang Wang, Qiang Zhang, and Yan-Fang Sang, 2021: Changes in compound hot and dry day and population exposure across China under climate change, International Journal of Climatology, 42(5), 2935-2949.

[5] Lei Gu, Jie Chen*, Jiabo Yin, Qiang Guo, Huimin Wang, and Jianzhong Zhou, 2021: Risk propagation from meteorological to hydrological droughts in a changing climate for main catachments in China, Advances in Water Science (水科学进展), Vol.32, No.3, 321-333.(In Chinese)

2020

[4] Richard Arsenault, François Brissette, Jie Chen*, Qiang Guo, and Gabrielle Dallaire, 2020: NAC2H: The North American Climate Change and Hydroclimatology Data Set, Water Resources Research, 56(8), e2020WR027097.

[3] Tianhua Su, Jie Chen*, Alex J. Cannon, Ping Xie, and Qiang Guo, 2020: Multi-site bias correction of climate model outputs for hydro-meteorological impact studies: An application over a watershed in China, Hydrological Process, 34(11), 2575-2598.

[2] 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.

2019

[1] 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.