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Xudong Zhou
Researcher at University of Tokyo
Publications - 50
Citations - 493
Xudong Zhou is an academic researcher from University of Tokyo. The author has contributed to research in topics: Environmental science & Climate change. The author has an hindex of 10, co-authored 36 publications receiving 282 citations. Previous affiliations of Xudong Zhou include Centre national de la recherche scientifique & École Polytechnique.
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Journal ArticleDOI
Human activities aggravate nitrogen-deposition pollution to inland water over China.
Yang Gao,Feng Zhou,Philippe Ciais,Philippe Ciais,Chiyuan Miao,Tao Yang,Yanlong Jia,Xudong Zhou,Butterbach-Bahl Klaus,Tiantian Yang,Guirui Yu +10 more
TL;DR: It is suggested that reducing the N deposition from various sources, shortening the water-retention time in dams and decreasing the degree of regulation for rivers are three main measures for preventing a continuous increase in the N-deposition pollution to inland water in China.
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Global exposure to flooding from the new CMIP6 climate model projections.
TL;DR: This article showed that the projected fluvial flood changes estimated by a new generation of climate models, the collectively known as Coupled Model Intercomparison Project Phase 6 (CMIP6), are similar to those estimated by CMIP5.
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Impacts of climate change on flow regime and sequential threats to riverine ecosystem in the source region of the Yellow River
TL;DR: In this article, the authors used the modified hydrological model HBV in conjunction with three general circulation models under three representative concentration pathways (RCP 2.6, 4.5, and 8.5) to address changes in flow regime under climate change for the Upper Yellow River (UYR) basin in the mid-term (2050s) and end-term(2080s) of the twenty-first century.
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How do the multiple large-scale climate oscillations trigger extreme precipitation?
Pengfei Shi,Tao Yang,Chong-Yu Xu,Chong-Yu Xu,Bin Yong,Quanxi Shao,Zhenya Li,Xiaoyan Wang,Xudong Zhou,Xudong Zhou,Shu Li +10 more
TL;DR: In this article, a probabilistic analysis approach by means of a state-of-the-art Copula-based joint probability distribution is developed to characterize the aggregated behaviors for large-scale climate patterns and their connections to precipitation.
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Spatio-temporal changes of precipitation and temperature over the Pearl River basin based on CMIP5 multi-model ensemble
TL;DR: In this article, the capability of BMA and arithmetic mean (AM) method in assembling precipitation and temperature from CMIP5 under RCP2.6, RCP4.5 and RCP8.5 scenarios over the Pearl River basin was examined.