Climate Smart City (C2S) Lab

[17] Pan R., Chua P.L.C, Madaniyazi L., Ng C.F.S., Tobias A., Guo Q., Phung V.L.H., Hossain N., Lynch V., Jung C., Salazar M.A., Roye D., Phung D., Coelho M., Saldiva P., Hales S., Huang C., Semenza J., and Hashizume M., 2025: The association between total precipitation and diarrhea morbidity: A multicountry study across diverse climate zones, Environmental Epidemiology, 9(6), p e430.

[16] Guo Q.*, Madaniyazi L., Nomura S., Chen K., and Hashizume M., 2025: Population aging exacerbates heat stroke-related ambulance transportations in Japan, Environment International, 199 (5), 109506.

[15] Guo Q.*, Phung V.L.H., Ng C.F.S., Oka K., Honda Y., and Hashizume M., 2025: Comparing Integrated Heat Stress Indicators With Raw Meteorological Variables in Predicting Heat Stroke-Related Ambulance Transportations in Japan, GeoHealth, 9(4), e2024GH001257.

[14] Guo Q.*, Mistry M.N., Zhou X., Zhao G., Kino K., Wen B., Yoshimura K., Satoh Y., Cvijanovic I., Kim Y., Ng C.F.S., Vicedo-Cabrera A.M., Armstrong B., Urban A., Katsouyanni K., Masselot P., Tong S., Sera F., Huber V., Bell M.L., Kyselý J., Gasparrini A., Hashizume M., and Oki T., 2024: Regional Variation in the Role of Humidity on City-level Heat-Related Mortality, PNAS Nexus, 3(8), pgae290.
(Media Coverage in English: U-Tokyo, EurekAlert, Alpha Galileo in Japanese: U-Tokyo, Tech+, Nikkei (日経新聞), Nikkan Kogyo (⽇刊⼯業新聞))

[13] Guo Q.*, Yuan L., Ng C.F.S., and Hashizume M., 2024: Evaluating Japan's revised heat-health warning system in the face of recent escalating heat stress, Environmental Research Letters, 19, 054002.

[12] Guo Q.*, and Hibino K., 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.

[11] Gu L.*, Gu Z., Guo Q., Fang W., Zhang Q., Sun H., Yin J., and Zhou J., 2022: Can satellite and atmospheric reanalysis products capture compound moist heat stress-floods?, Remote Sensing, 14(18), 4611.

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

[9] Guo Q.*, Zhou X., Satoh Y., and Oki T., 2022: Irrigated cropland expansion exacerbates the urban moist heat stress in northern India, Environmental Research Letters, 17, 054013.

[8] Gu L., Chen J.*, Yin J.*, Slater L.J., Wang H., Guo Q., Feng M., Qin H., and Zhao T., 2022: Global Increases in Compound Flood-Hot Extreme Hazards Under Climate Warming, Geophysical Research Letters, 49(8), e2022GL097726.

[7] Chen J.*, Li X.*, Xu C., Zhang X., Xiong L., and Guo Q., 2022: Postprocessing Ensemble Weather Forecasts for Introducing Multisite and Multivariable Correlations Using Rank Shuffle and Copula Theory, Monthly Weather Review, 150(3), 551–565.

[6] Feng Y., Sun F., Liu W.*, Chen J., Wang H., Guo Q., Wang Y., Zhang Q., and Sang Y., 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] Gu L., Chen J.*, Yin J., Guo Q., Wang H., and Zhou J., 2021: Risk propagation from meteorological to hydrological droughts in a changing climate for main catchments in China, Advances in Water Science (水科学进展), Vol.32, No.3, 321-333. (In Chinese)

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

[3] Su T., Chen J.*, Cannon A.J., Xie P., and Guo Q., 2020: Multi-site bias correction of climate model outputs for hydro-meteorological impact studies: An application over a watershed in China, Hydrological Processes, 34(11), 2575-2598.

[2] Guo Q., Chen J.*, Zhang X., Xu C., and Chen H., 2020: Impacts of Using State‐of‐the‐Art Multivariate Bias Correction Methods on Hydrological Modeling Over North America, Water Resources Research, 56(5), e2019WR026659.

[1] Guo Q., Chen J.*, Zhang X., Shen M., Chen H., and Guo S., 2019: A new two-stage multivariate quantile mapping method for bias correcting climate model outputs, Climate Dynamics, 53, 3603-3623.