avatar

Xudong Zhou

Research Professor (研究员)
Ningbo University (宁波大学)
zhouxudong [at] nbu.edu.cn

From Jan. 2024 I have joined Ningbo University as a Research Professor. Please contact me if you are intestested in collaborations or master student positions in our group.


About Me

Dr. Xudong Zhou is now a Research Professor in the Institute of Ocean Engineering in Ningbo University, China. His research interest is Monitoring, Modelling and Modulating River Flow Dynamics. Dr. Zhou is a strong advocate of open science and collaborative research. He founded the Hydro90 Research platform, with more than 42,000 followers (as of Feb 2024).

Research Interests

News

Announcement

Research updating

Education & Work Experience

Research Highlight

  1. Flood
    Flood and risk analysis
    PAPER-1, 2021: Global flood frequency analysis News News2
    PAPER-2, 2021: Global flood extent analysis
    PAPER-3, 2021: Future projection of flood exposure News
    Uncertainties
    Model uncertainties analysis
    PAPER-1, 2018: Model evaluation with Budyko-curve
    PAPER-2, 2020: 3-D Uncertainty in precipitation Ensembles
    PAPER-3, 2022: Correcting river bathymetry using rating-curve blog

Projects

Services

Conference Converners

Youth Editor

Guest Editor

Full Publication List (peer-reviewed)

    <updated 2024.2.18>

    2024

    (41) Revel, M., Zhou, X., Modi, P., Cretaux, J. F., Calmant, S., & Yamazaki, D. (2024). AltiMaP: altimetry mapping procedure for hydrography data. Earth System Science Data, 16(1), 75-88. https://doi.org/10.5194/essd-16-75-2024

    2023

    (40) Ding, M., Lin, P., Gao, S., Wang, J., Zeng, Z., Zheng, K., Zhou, X., Yamazaki, D., Gao, Y., & Liu, Y. (2023). Reversal of the levee effect towards sustainable floodplain management. Nature Sustainability. https://doi.org/10.1038/s41893-023-01202-9

    (39) Polcher, J., Schrapffer, A., Dupont, E., Rinchiuso, L., Zhou, X., Boucher, O., Mouche, E., Ottlé, C., & Servonnat, J. (2023). Hydrological modelling on atmospheric grids: using graphs of sub-grid elements to transport energy and water. Geoscientific Model Development, 16(9), 2583–2606. https://doi.org/10.5194/gmd-16-2583-2023

    (38) Kimura, Y., Hirabayashi, Y., Kita, Y., Zhou, X., & Yamazaki, D. (2023). Methodology for constructing a flood-hazard map for a future climate. Hydrology and Earth System Sciences, 27, 1627–1644. https://doi.org/10.5194/egusphere-2022-1343

    (37) Lin, J., Bryan, B. A., Zhou, X., Lin, P., Do, H. X., Gao, L., Gu, X., Liu, Z., Wan, L., Tong, S., Huang, J., Wang, Q., Zhang, Y., Gao, H., Yin, J., Chen, Z., Duan, W., Xie, Z., Cui, T., … Yang, Z. (2023). Making China’s water data accessible , usable and shareable. Nature Water, 1, 1–8. https://doi.org/10.1038/s44221-023-00039-y

    (36) Revel, M., Zhou, X., Yamazaki, D., & Kanae, S. (2023). Assimilation of Transformed Water Surface Elevation to Improve River Discharge Estimation in a Continental-Scale River. Hydrology and Earth System Sciences, 27, 647–671. https://doi.org/10.5194/hess-27-647-2023

    (35) Shi, P., Yang, T., Yong, B., Xu, C.-Y., Li, Z., Wang, X., Qin, Y. & Zhou, X. (2023). Some statistical inferences of parameter in MCMC approach and the application in uncertainty analysis of hydrological simulation. Journal of Hydrology. 617(Part A), 128767. https://doi.org/10.1016/j.jhydrol.2022.128767

    2022

    (34#) Liang, H., & Zhou, X. (2022). Impact of Tides and Surges on Fluvial Floods in Coastal Regions. Remote Sensing, 14, 5779. https://doi.org/10.3390/rs14225779

    (33#) Zhou, X., Revel, M., Modi, P., Shiozawa, T., & Yamazaki, D. (2022). Correction of river bathymetry parameters using the stage-discharge rating curve. Water Resources Research, 58, e2021WR031226. https://doi.org/10.1029/2021WR031226
    [This paper describes a rubost and reliable method to correct river bathymetry (river depth) using remote sensed water altimetry data and in-situ river discharge measurement. Correction using rating-curve method can eliminate impact of errors in forcing inputs and attribute all errors/biases to model correction.]

    (32) Pellet, V., Aires, F., Yamazaki, D., Zhou, X., & Paris, A. (2022). A first continuous and distributed satellite-based mapping of river discharge over the Amazon. Journal of Hydrology. 614 (Part A), 128481. https://doi.org/10.1016/j.jhydrol.2022.128481

    (301) Guo, Q., Zhou, X., Satoh, Y., & Oki, T. (2022). Irrigated cropland expansion exacerbates the urban moist heat stress in northern India. Environmental Research Letters, 17(5). https://doi.org/10.1088/1748-9326/ac64b6

    2021

    (30#) Zhou, X., Prigent, C., & Yamazaki, D. (2021). Toward Improved Comparisons Between Land‐Surface‐Water‐Area Estimates From a Global River Model and Satellite Observations. Water Resources Research, 57(5), e2020WR029256. https://doi.org/10.1029/2020WR029256

    (29#) Zhou, X., Polcher, J., & Dumas, P. (2021). Representing human water management in a land surface model using a supply/demand approach. Water Resources Research, 57, e2020WR028133. https://doi.org/10.1029/2020WR028133

    (28#) Zhou, X., Ma, W., Echizenya, W., & Yamazaki, D. (2021). The uncertainty of flood frequency analyses in hydrodynamic model simulations. Natural Hazards and Earth System Sciences, 21, 1071–1085. https://doi.org/10.5194/nhess-21-1071-2021

    (27) Zheng, X., Yang, T., Cui, T., Xu, C., Zhou, X., Li, Z., ... & Qin, Y. (2021). A revised range of variability approach considering the morphological alteration of hydrological indicators. Stochastic Environmental Research and Risk Assessment, 35(9), 1783-1803. https://doi.org/10.1007/s00477-020-01926-6

    (26) Kitajima, N., Seto, R., Yamazaki, D., Zhou, X., Ma, W., & Kanae S. (2021). Potential of a SAR Small-Satellite Constellation for Rapid Monitoring of Flood Extent. Remote Sensing, 13(10), 1959. https://doi.org/10.3390/rs13101959

    (25) Huang, Y., Tokuda, D., Zhou, X., & Oki, T. (2021). Global integrated modeling framework of riverine dissolved inorganic nitrogen with seasonal variation. Hydrological Research Letters, 15(3), 50-57. https://doi.org/10.3178/hrl.15.50

    (24) Hirabayashi, Y., Tanoue, M., Sasaki, O., Zhou, X., & Yamazaki, D. (2021). Global exposure to flooding from the new CMIP6 climate model projections. Scientific Reports, 11(0123456789), 3740–3746. https://doi.org/10.1038/s41598-021-83279-w [News]

    (23) Yin, Z., Ottlé, C., Ciais, P., Zhou, F., Wang, X., Jan, P., Dumas, P., Peng, S., Li, L., Zhou, X., & Piao, S. (2021). Irrigation, damming, and streamflow fluctuations of the Yellow River. Hydrology and Earth System Sciences, 25(April), 1133–1150. https://doi.org/10.5194/hess-25-1133-2021

    2020

    (22#) Zhou, X., Wang, Q., & Yang, T. (2020). Decreases in days with sudden day-to-day temperature change in the warming world. Global and Planetary Change, 192(May), 103239. https://doi.org/10.1016/j.gloplacha.2020.103239

    (21#) Zhou X., Polcher, J., Yang, T., & Huang, C.-S. (2020). A new uncertainty estimation approach with multiple datasets and implementation for various precipitation products. Hydrology and Earth System Sciences, 24, 2061–2081. https://doi.org/10.5194/hess-24-2061-2020

    (20) Kitajima, N., Seto, R., Yamazaki, D., Zhou, X., Ma, W., & Kanae, S. (2020). Possibility of High-frequency Observation of Inundation Area by Small SAR Satellites Constellation. Journal of Japan Society of Civil Engineers Ser B1 (Hydraulic Engineering), 76(2), 535–540. https://doi.org/10.1007/s00477-020-01926-6

    (19) Zhao, Q., Zhu, Y., Shu, K., Wan, D., Yu, Y., Zhou, X., & Liu, H. (2020). Joint spatial and temporal modeling for hydrological prediction. IEEE Access, 8, 78492–78503. https://doi.org/10.1109/ACCESS.2020.2990181

    (18) Yin, Z., Wang, X. H., Otté, C., Zhou, F., Guimberteau, M., Polcher, J., Peng, S. S., Piao, S. L., Li, L., Bo, Y., Chen, X. L., Zhou, X. D., Kim, H., & Ciais, P. (2020). Improvement of the irrigation scheme in the ORCHIDEE land surface model and impacts of irrigation on regional water budgets over China. Journal of Advances in Modeling Earth Systems, 12, e2019MS001770.https://doi.org/10.1029/2019ms001770

    (17) Gao, Y., Zhou, F., Ciais, P., Miao, C., Yang, T., Jia, Y., Zhou, X., Klaus, B., Yang, T. Yu, G.(2020). Human activities aggravate nitrogen deposition pollution to inland water over china. National Science Review, 7(2), 430–440. https://doi.org/10.1093/nsr/nwz073

    2019

    (16) Shi, P., Yang, T., Yong, B., Li, Z., Xu, C. Y., Shao, Q., Wang, X., Zhou, X., Qin, Y. (2019). A new uncertainty measure for assessing the uncertainty existing in hydrological simulation. Water (Switzerland), 11(4). https://doi.org/10.3390/w11040812

    (15) Shi, P., Yang, T., Xu, C.-Y., Yong, B., Huang, C.-S., Li, Z., Qin, Y., Wang, X., Zhou, X.,Li, S. (2019). Rainfall–Runoff Processes and Modelling in Regions Characterized by Deficiency in Soil Water Storage. Water, 11(9), 1858. https://doi.org/10.3390/w11091858

    2018

    (14#) Zhou, X., Polcher, J., Yang, T., Hirabayashi, Y., & Nguyen-Quang, T. (2018). Understanding the water cycle over the upper Tarim Basin: retrospecting the estimated discharge bias to atmospheric variables and model structure. Hydrology and Earth System Sciences, 22, 6087–6108. https://doi.org/10.5194/hess-22-6087-2018

    (13) Ren, W., Yang, T., Shi, P., Xu, C. yu, Zhang, K., Zhou, X., Shao, Q., & Ciais, P. (2018). A probabilistic method for streamflow projection and associated uncertainty analysis in a data sparse alpine region. Global and Planetary Change, 165, 100–113. https://doi.org/10.1016/j.gloplacha.2018.03.011

    (12) Nguyen-Quang, T., Polcher, J., Ducharne, A., Arsouze, T., Zhou, X., Schneider, A., & Fita, L. (2018). ORCHIDEE-ROUTING: revising the river routing scheme using a high-resolution hydrological database. Geoscientific Model Development, 11, 4965–4985. https://doi.org/10.5194/gmd-11-4965-2018

    (11) Wang, X., Yang, T., Yong, B., Krysanova, V., Shi, P., Li, Z., & Zhou, X. (2018). Impacts of climate change on flow regime and sequential threats to riverine ecosystem in the source region of the Yellow River. Environmental Earth Sciences, 77(485). https://doi.org/10.1007/s12665-018-7628-7

    2017

    (10#) Zhou, X., Yang, T., Shi, P., Yu, Z., Wang, X., & Li, Z. (2017). Prospective scenarios of the saltwater intrusion in an estuary under climate change context using Bayesian neural networks. Stochastic Environmental Research and Risk Assessment, 31(4), 981–991. https://doi.org/10.1007/s00477-017-1399-7

    (9) Wang, X., Yang, T., Li, X., Shi, P., & Zhou, X. (2017). Spatio-temporal changes of precipitation and temperature over the Pearl River basin based on CMIP5 multi-model ensemble. Stochastic Environmental Research and Risk Assessment, 31(5), 1077–1089. https://doi.org/10.1007/s00477-016-1286-7

    (8) Shi, P., Yang, T., Xu, C. Y., Yong, B., Shao, Q., Li, Z., Wang, X., Zhou, X., Li, S. (2017). How do the multiple large-scale climate oscillations trigger extreme precipitation? Global and Planetary Change, 157(September), 48–58. https://doi.org/10.1016/j.gloplacha.2017.08.014

    (7) Zhang, H. W., Sun, Y. Q., Li, Y., Zhou, X. D., Tang, X. Z., Yi, P., … Mugwaneza, V. P. (2017). Quality assessment of groundwater from the south-eastern Arabian Peninsula. Environmental Monitoring and Assessment, 189(411). https://doi.org/10.1007/s10661-017-6092-2

    2016

    (6) Yang, T., Shi, P., Yu, Z., Li, Z., Wang, X., & Zhou, X. (2016). Probabilistic modeling and uncertainty estimation of urban water consumption under an incompletely informational circumstance. Stochastic Environmental Research and Risk Assessment, 30(2), 725–736. https://doi.org/10.1007/s00477-015-1081-x

    (5) Shi, P., Yang, T., Zhang, K., Tang, Q., Yu, Z., & Zhou, X. (2016). Large-scale climate patterns and precipitation in an arid endorheic region: Linkage and underlying mechanism. Environmental Research Letters, 11(4). https://doi.org/10.1088/1748-9326/11/4/044006/

    (4) Zheng, M. J., Murad, A., Zhou, X. D., Yi, P., Alshamsi, D., Hussein, S., … Yu, Z. B. (2016). Distribution and sources of 226Ra in groundwater of arid region. Journal of Radioanalytical and Nuclear Chemistry, 309(2), 667–675. https://doi.org/10.1007/s10967-015-4632-1

    (3) Zheng, M., Wan, C., Du, M., Zhou, X., Yi, P., Aldahan, A., … Gong, M. (2016). Application of Rn-222 isotope for the interaction between surface water and groundwater in the Source Area of the Yellow River. Hydrology Research, 47(6), 1253–1262. https://doi.org/10.2166/nh.2016.070

    2015

    (2) Yang, T., Zhou, X., Yu, Z., Krysanova, V., & Wang, B. (2015). Drought projection based on a hybrid drought index using Artificial Neural Networks. Hydrological Processes, 29(11), 2635–2648. https://doi.org/10.1002/hyp.10394

    2014

    (1) Murad, A., Zhou, X. D., Yi, P., Alshamsi, D., Aldahan, A., Hou, X. L., & Yu, Z. B. (2014). Natural radioactivity in groundwater from the south-eastern Arabian Peninsula and environmental implications. Environmental Monitoring and Assessment, 186(10), 6157–6167. https://doi.org/10.1007/s10661-014-3846-y


Powered by Jekyll and Minimal Light theme.