Hong Xuan Do
Flooding is one of the leading natural disasters in terms of human fatalities and economic loss globally. The rising trends in global and regional economic losses due to floods have raised concerns about floods becoming more severe in a warming climate. However, there is still limited evidence of changes in floods across space and time, arguably due to fragmented (and even conflicting) scientific findings of local-scale studies, limited spatiotemporal coverage of streamflow observations, and the complexity of flood generating processes.
Hong's research program explores how floods have changed and what are the driving factors of these changes across scales from the regional (e.g. the Great Lakes) to the global, using a combination of streamflow observations and hydrological models. Hong's research focuses on three main themes: (i) Improving the accessibility of streamflow observations for hydrological research, (ii) Evaluating hydrological models performance using large-sample of streamflow observations and (iii) Improving the understanding of changes in flood hazards and the underlying mechanism.
Under revision or Submitted
Yu, S., Do, H. X., van Dijk, A. I. J. M., Bond, N. R., Lin, P., and Kennard, M. J., Evaluating a landscape-scale daily water balance model to support spatially continuous representation of flow intermittency throughout stream networks, Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2020-10, in review, 2020
Do, H. X., Smith, J.P., Fry, L.M., Gronewold, A.D. (under revision), Seventy-year long record of monthly water balance estimates for Earth’s largest lake system
Gudmundsson, L., Boulange, J.E.S., Do, H. X., Gosling, S.M., Grillakis M.G., Koutroulis, A.G., Leonard, M., Lui, J., Papadimitriou, L., Pokhrel, Y., Schewe, J., Zhang, X., Schmied, H.M., Seneviratne, S.I., Thiery, W., Westra, S., and Zhao, F. (under revision), Globally observed trends in mean and extreme river flow attributed to man-made climate change
Ridder, N.N., Pitman, A.J., Ukkola, A., Westra, S., Do, H. X., Bador, M., Hirsch, A.L., Evans, J.P., di Luca, A., and Zscheischler, J. (under revision), Global hotspots for the occurrence of compound events
Do, H. X., Mei, Y., Gronewold, A.D. (submitted), To what extent are changes in floods related to changes in precipitation extremes?
Fowler, H.J., Lenderink, G., Prein, A., Westra, S., Allan, R., Ban, N., Barbero, R., Berg, P., Blenkinshop, S., Do, H. X., Guerreiro, S., Haerter, J., Kendon, E., Lewiz, E., Schaer, C., Sharma, A., Wasko, C., Villarini, G., and Zhang, X. (submitted), Understanding the intensification of short-duration rainfall extremes with global warming and the implications for flood hazard
Do, Q.V., Do, H. X., Do, N.C., Ngo, A.L, 2020. Changes in Precipitation Extremes across Vietnam and Its Relationships with Teleconnection Patterns of the Northern Hemisphere. Water, 12, 1646.
Do, H. X., Zhao, F., Westra, S., Leonard, M., Gudmundsson, L., Boulange, J. E. S., Chang, J., Ciais, P., Gerten, D., Gosling, S. N., Müller Schmied, H., Stacke, T., Telteu, C.-E., and Wada, Y., 2020. Historical and future changes in global flood magnitude – evidence from a model–observation investigation, Hydrol. Earth Syst. Sci., 24, 1543–1564, https://doi.org/10.5194/hess-24-1543-2020 (One of most downloaded Hydrol. Earth Syst. Sci. articles in the last 12 months, Apr 2020)
Addor, N., Do, H. X., Alvarez-Garreto, C., Coxon, G., Fowler, K., and Mendoza, P., 2019. Large-sample hydrology: recent progress, guidelines for new datasets and grand challenges. Hydrological Sciences Journal. https://doi.org/10.1080/02626667.2019.1683182
Do, H. X., Westra, S., Leonard, M., & Gudmundsson, L., 2019. Global‐Scale Prediction of Flood Timing Using Atmospheric Reanalysis. Water Resources Research, 55. https://doi.org/10.1029/2019WR024945
Gudmundsson, L., Leonard, M., Do, H. X., Westra, S., & Seneviratne, S.I., 2019, Observed Trends in Global Indicators of Mean and Extreme Streamflow. Geophysical Research Letters, 46(2), 756-766 (Top downloaded GRL paper 2018-2019)
Do, H. X., Gudmundsson, L., Leonard, M., and Westra, S., 2018, The Global Streamflow Indices and Metadata Archive (GSIM) – Part 1: The production of daily streamflow archive and metadata, Earth Syst. Sci. Data, https://doi.org/10.5194/essd-10-765-2018 (One of most downloaded Earth Syst. Sci. Data articles in the last 12 months, December 2018)
Gudmundsson, L., Do, H. X., Leonard, M., and Westra, S., 2018, The Global Streamflow Indices and Metadata Archive (GSIM) – Part 2: Quality Control, Timeseries Indices and Homogeneity Assessment, Earth Syst. Sci. Data, https://doi.org/10.5194/essd-10-787-2018 (One of most downloaded Earth Syst. Sci. Data articles in the last 12 months, December 2018)
Do, H. X., Westra, S., Leonard, M., 2017. A global-scale investigation of trends in annual maximum streamflow, Journal of Hydrology, 552, 2017, Pages 28-43, https://doi.org/10.1016/j.jhydrol.2017.06.015. (One of most downloaded J. Hydrol. articles, November 2017; cited by IPCC Special Report “Global Warming of 1.5 ºC”)
Do, H. X., Smith, J., Fry, L., Gronewold, A., 2020. Monthly water balance estimates for the Laurentian Great Lakes from 1950 to 2019 (v1.1) [Data set]. University of Michigan - Deep Blue. https://doi.org/10.7302/tx97-nn12
Do, H. X., Gudmundsson, L., Leonard, M., Westra, S., 2018, The Global Streamflow Indices and Metadata Archive - Part 1: Station catalog and Catchment boundary. PANGAEA, https://doi.pangaea.de/10.1594/PANGAEA.887477
Gudmundsson, L., Do, H. X., Leonard, M., Westra, S., 2018, The Global Streamflow Indices and Metadata Archive (GSIM) - Part 2: Time Series Indices and Homogeneity Assessment. PANGAEA, https://doi.pangaea.de/10.1594/PANGAEA.887470
Westra, S., Do, H. X., Globally, floods seem to be decreasing even as extreme rainfall rises. Why?, The Conversation, https://theconversation.com/globally-floods-seem-tobe-decreasing-even-as-extreme-rainfall-rises-why-80003, Accessed 28 June 2017