3. Nguyen, N., Phan–Van, T., Dang, K.D., Dao, H.Q.N., Do, H.X. (submitted) Discharge variability in the Mekong river basin and their teleconnections with large-scale climate drivers.
2. Mei, Y., Stephens, C., Do, H.X., Hong, Y., Pham, H.T., Vo, P.D., Gronewold, A.D., Nikolopoulos, E. (submitted) Controls on the swiftness of drought propagation from precipitation to streamflow over tropical catchments in Thailand.
1. Do, H.X., Vo, P.N.D., Pham, T.H., Mei, Y., and Gronewold, A.D. (submitted) Observed response of tropical river streamflow to climate change – evidence from a national database. [preprint] ESSOAr, https://doi.org/10.1002/essoar.10504130.1
33. Kuswanto, H., Fauzi, F., Miftahurrohmah, B., Tan, M. L., & Do, H. X., 2025. Southeast Asia’s Extreme Precipitation Response to Solar Radiation Management with GLENS Simulations. Atmosphere, 16(6), 725. https://doi.org/10.3390/atmos16060725
32. Le Trong, D.H. and Do, H.X., 2025. Application of Google Earth Engine to Estimate the Water Capacity of Saigon–Dongnai Basin in the Period of 2005–2023 Using MODIS and CHIRPS Satellite Data. VNU Journal of Science: Earth and Environmental Sciences, 41(1).
31. Turner, S., Hannaford, J., Barker, L.J. et al., 2025. ROBIN: Reference observatory of basins for international hydrological climate change detection. Sci Data 12, 654 (2025). https://doi.org/10.1038/s41597-025-04907-y
30. Nguyen, B.Q., Le, MH., Le, T.D.H., Le, T.H., Nguyen, D.L.T., Pham, H.T., Binh, D.V., and Do H.X., 2025. Assessing meteorological trends and variabilities in major river basins of Northern Vietnam using global datasets. Theor Appl Climatol 156, 156 (2025). https://doi.org/10.1007/s00704-025-05379-1
29. Le, M.H., Kim, H., Do, H.X., Beling, P.A. and Lakshmi, V., 2024. A Framework on Utilizing of Publicly Availability Stream Gauges Datasets and Deep Learning in Estimating Monthly Basin-scale Runoff in Ungauged Regions. Advances in Water Resources, p.104694. https://doi.org/10.1016/j.advwatres.2024.104694
28. Do, H.X. and Le, T.H., 2024. Changes in water balance across climate zones of Vietnam over the past four decades. In IOP Conference Series: Earth and Environmental Science (Vol. 1349, No. 1, p. 012025). IOP Publishing.
27. Do, H.X., Nguyen, H.T., Tran, V.N. et al., 2024. Uncertain Benefits of Using Remotely Sensed Evapotranspiration for Streamflow Estimation—Insights From a Randomized, Large-Sample Experiment. Water Resources Management. https://doi.org/10.1007/s11269-024-03840-w
26. Do, H.X., Le, T.H.; Le, M.-H., Nguyen, D.L.T., Do, N.C., 2024. Future Changes in Hydro-Climatic Extremes across Vietnam: Evidence from a Semi-Distributed Hydrological Model Forced by Downscaled CMIP6 Climate Data. Water 16, 674. https://doi.org/10.3390/w16050674
25. Huang, A., Gao, G., Yao, L., Yin, S., Li, D., Do, H.X., Fu, B., 2024. Spatiotemporal variations of inter- and intra-annual extreme streamflow in the Yangtze River Basin. J. Hydrol. 629, 130634. https://doi.org/https://doi.org/10.1016/j.jhydrol.2024.130634
24. Lin, J., Bryan, B.A., Zhou, X. Lin, P., Do, H.X. et al. Making China’s water data accessible, usable and shareable. Nat Water (2023). https://doi.org/10.1038/s44221-023-00039-y
23. Tan, M. L., Juneng, L., Kuswanto, H., Do, H. X., & Zhang, F. (2023). Impacts of Solar Radiation Management on Hydro-Climatic Extremes in Southeast Asia. Water, 15(6), 1089. https://doi.org/10.3390/w15061089
22. Lakshmi, V., Le, M.H., Goffin, B.D., Besnier, J., Pham, H.T., Do, H.X., Fang, B., Mohammed, I. and Bolten, J.D. (2023). Regional analysis of the 2015–16 Lower Mekong River basin drought using NASA satellite observations. Journal of Hydrology: Regional Studies, 46, p.101362. https://doi.org/10.1016/j.ejrh.2023.101362
21. Mei, Y., Mai, J., Do, H.X., Gronewold, A.D., Reeves, H., Eberts, S., Niswonger, R., Regan, S., Hunt, R. (2023). Can hydrological models benefit from using global soil moisture, evapotranspiration, and runoff products as calibration targets? Water Resources Research, 59, e2022WR032064. https://doi.org/10.1029/2022WR032064
20. Gu, L., Yin, J., Slater, L. J., Chen, J., Do, H. X., Wang, H.-M., et al. (2023). Intensification of global hydrological droughts under anthropogenic climate warming. Water Resources Research, 59, e2022WR032997. https://doi.org/10.1029/2022WR032997
19. Do, H.X., Le, T.H., Nguyen, B.Q., Le, M.H., and Pham, T.H. (2022). The impact of digital elevation model data sources on identifying catchment boundary in Vietnam. Vietnam Journal of Hydrometeorology. 2022, EME4, 262-271. doi:10.36335/VNJHM.2022(EME4).262-2
18. Le, M.H., Nguyen, B.Q., Pham, H.T., Patil, A., Do, H.X., Ramsankaran, R.A.A.J., Bolten, J.D. and Lakshmi, V. (2022). Assimilation of SMAP products for improving streamflow simulations over tropical climate region—Is spatial information more important than temporal information?. Remote Sensing, 14(7), p.1607. https://doi.org/10.3390/rs14071607
17. Do, H.X., Le, M.H., Pham, T.H., Le, T.H., and Nguyen, B.Q. (2022). Identifying hydrologic reference stations to understand changes in water resources across Vietnam - a data-driven approach. Vietnam Journal of Earth Sciences, 44(1), pp. 145–165. doi: 10.15625/2615-9783/16980.
16. Hong, Y., Do, H.X., Kessler, J., Fry, L., Read, L., Nasab, A.R., Gronewold, A.D., Mason, L. and Anderson, E.J., 2022. Evaluation of gridded precipitation datasets over international basins and large lakes. Journal of Hydrology, 607, p.127507. https://doi.org/10.1016/j.jhydrol.2022.127507
15. 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. (2021), Globally observed trends in mean and extreme river flow attributed to man-made climate change. Science, 371(6534), 1159-1162. https://doi.org/10.1126/science.aba3996
14. 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., Lewis, E., Schaer, C., Sharma, A., Villarini, G., Wasko, C., and Zhang, X. (2021), Anthropogenic intensification of short-duration rainfall extremes. Nat Rev Earth Environ 2, 107–122. https://doi.org/10.1038/s43017-020-00128-6
13. Gronewold, A. D., Do, H. X., Mei, Y., & Stow, C. A. (2021). A tug‐of‐war within the hydrologic cycle of a continental freshwater basin. Geophysical Research Letters, 47, e2020GL090374. https://doi.org/10.1029/2020GL090374
12. Ridder, N.N., Pitman, A.J., Westra, S., Ukkola, A., Do, H.X., Bador, M., Hirsch, A.L., Evans, J.P., Di Luca, A. and Zscheischler, J., 2020. Global hotspots for the occurrence of compound events. Nature Communications 11, 5956. https://doi.org/10.1038/s41467-020-19639-3
11. Do, H. X., Mei, Y., and Gronewold, A. D., 2020. To what extent are changes in flood magnitude related to changes in precipitation extremes? Geophysical Research Letters, 47, e2020GL088684. https://doi.org/10.1029/2020GL088684
10. Yu, S., Do, H. X., van Dijk, A. I. J. M., Bond, N. R., Lin, P., and Kennard, M. J., 2020. Evaluating a landscape-scale daily water balance model to support spatially continuous representation of flow intermittency throughout stream networks, Hydrol. Earth Syst. Sci., 24, 5279–5295, https://doi.org/10.5194/hess-24-5279-2020.
9. Do, H. X., Smith, J.P., Fry, L.M., and Gronewold, A.D., 2020. Seventy-year long record of monthly water balance estimates for Earth’s largest lake system. Sci Data 7, 276. https://doi.org/10.1038/s41597-020-00613-z
8. Do, Q.V., Do, H. X., Do, N.C., and Ngo, A.L., 2020. Changes in Precipitation Extremes across Vietnam and Its Relationships with Teleconnection Patterns of the Northern Hemisphere. Water 12, 1646. https://doi.org/10.3390/w12061646
7. 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)
6. Addor, N., Do, H. X., Alvarez-Garreto, C., Coxon, G., Fowler, K., and Mendoza, P., 2020. Large-sample hydrology: recent progress, guidelines for new datasets and grand challenges. Hydrological Sciences Journal. https://doi.org/10.1080/02626667.2019.1683182
5. Do, H. X., Westra, S., Leonard, M., and Gudmundsson, L., 2020. Global‐Scale Prediction of Flood Timing Using Atmospheric Reanalysis. Water Resources Research, 55. https://doi.org/10.1029/2019WR024945
4. Gudmundsson, L., Leonard, M., Do, H. X., Westra, S., and Seneviratne, S.I., 2019, Observed Trends in Global Indicators of Mean and Extreme Streamflow. Geophysical Research Letters, 46(2), 756-766 (Top downloaded paper 2018-2019 in GRL; highly cited paper in Geoscience) https://doi.org/10.1029/2018GL079725
3. 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, 10, 765–785. 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)
2. 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, 10, 787–804. 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)
1. Do, H. X., Westra, S., and Leonard, M., 2017, A global-scale investigation of trends in annual maximum streamflow, Journal of Hydrology, Volume 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”)
3. Dương Bích Tuyền*, Đỗ Xuân Hồng, Lê Trọng Diệu Hiền, 2024. Nghiên cứu ứng dụng ảnh viễn thám Sentinel-2 kết hợp hồi quy đa biến xác định diễn biến nồng độ tổng chất rắn lơ lửng sông Thị Tính, tỉnh Bình Dương. Tạp chí Khí tượng Thủy văn 2025 (772), 38-50; doi:10.36335/VNJHM.2025(772).38-50.
2. Lê Trọng Diệu Hiền, Nguyễn Lê Tấn Đạt, Lê Mạnh Hùng, Đỗ Xuân Hồng, Lê Hoàng Tú, Phạm Thành Hưng, Đoàn Văn Bình, Nguyễn Quang Bình, 2024. Phân tích xu hướng dài hạn các yếu tố khí hậu và ảnh hưởng của chúng lên lưu lượng dòng chảy ở một số lưu vực sông ở Việt Nam. Tạp chí Phát triển Khoa học và Công nghệ – Khoa học Trái đất và Môi trường 2024; 8(1):803-816.
1. Phạm Chí Biết*, Lê Hoàng Tú, Lê Vĩnh Linh, Đỗ Xuân Hồng, 2023. Ứng dụng mô hình SWAT đánh giá chế độ thủy văn tại vùng thượng nguồn Sông Srêpôk dưới tác động của biến đổi khí hậu. Kỷ yếu Hội thảo GIS Toàn quốc năm 2023. Học viện Nông nghiệp Việt Nam.
(*): Undergraduate/Postgrad students (sinh viên đại học/cao học).
3. Do, H.X., Smith, J.P., Fry, L.M., Gronewold, A.D. (2020). Monthly water balance estimates for the Laurentian Great Lakes from 1950 to 2019 [Data set]. University of Michigan - Deep Blue. https://doi.org/10.7302/0rsp-v195
2. 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
1. 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
Addor N., Andréassian V., Alvarez-Garreton C., Coxon G., Do H.X., Fowler K., Mathevet T. and Mendoza P., 2019, Panta Rhei working group on Large-sample hydrology - Third biennium report, International Association Of Hydrological Sciences
(underline indicates students that are supervised)
Le, M., Kim, H., Do, H.X., Beling, P.A. and Lakshmi, V.V., 2023. Utility of Publicly Availability Stream Gauges Datasets and Deep Learning in Predicting Monthly Basin-scale Runoff in Ungauged Regions. AGU23.
Tran, V., Le, M., Do, H.X., Nguyen, T.V., Le, T.H., Tran, D.T.N, Nguyen, B.Q., Nguyen, H.T.T., Pham, H.T., Tran, H., Ngo-Duc, T., Le, H.D.T., Doan, B.V., Dang, T.D., Lakshmi, V.V., and Bolten, J.D., 2023. A Novel Approach for Constructing A Grid-based Precipitation Dataset with Uncertainty Estimation using Machine Learning. AGU23.
Tran, D.T.N, Nguyen, B.Q., Tran, V.N., Le, M.H., Bolten, J., Do, S.K., Do, H.X., Arshad, A., Kantoush, S.A. and Lakshmi, V., 2023. Quantification of Climate Change impacts on the Srepok River, Mekong River basin. Authorea Preprints.
Tran, H., Li, H., Sadam, A., Tran, V., Dang, T.D., Le, M., Do, H.X., Pham, H.T., Bui-Thanh, T. and Leung, R., 2023. Medium-range weather forecast using Predictive Recurrent Neural Networks. AGU23.
Nguyen, H.T.T., Trung, D.T.V., Galelli, S., Buckley, B., Cook, E.R., Kallio, M.K., Baird, I., Van Doan, B., Dang, T.D., Kantosh, S., Vadillo, V.W., and Do, H.X., 2023. Upper Mekong Dams Cause the Highest Dry Season Discharges in 270 Years. AGU23.
Pham, B.C., Le, T.H., Le, L.V., and Do, H. X., 2023. Application of SWAT model to evaluate the hydrological regime at the upper area of Srepok River (in Vietnamese). In The National Conference on GIS Application 2023, Vietnam National University of Agriculture, Trau Quy – Gia Lam – Ha Noi, 11-12 November, 2023.
Gu, L., Yin, J., Slater, L., and Do, H. X., 2023. Intensification of Global Hydrological Droughts Under Anthropogenic Climate Warming. In the EGU General Assembly 2023, Vienna, Austria, 23–28 Apr 2023, EGU23-3459, https://doi.org/10.5194/egusphere-egu23-3459.
Do, H.X., Le, T.H., Pham, H.T., Nguyen, B.Q., Le, M., 2021. Identifying a reference station network for hydrological investigations in Vietnam – a data-driven approach. In The 1st Vietnam Conference on Earth and Environmental Sciences 2021 (VCEES-2021). Quy Nhon, Vietnam, December 5 – 9, 2021.
Mei, Y., Do, H.X., Gronewold, A., Steiner, A., Rood, R., 2020. Evaluation of Terrestrial Water and Energy Budget Components over the St. Lawrence River Basin. In AGU Fall Meeting 2020. AGU.
Do, H.X., Gronewold, A., Smith, J. and Fry, L., 2020. Developing a new estimate for the water balance of the Laurentian Great Lakes. In AGU Fall Meeting 2020. AGU.
Garcia, H., Brines, S., Do, H.X., Anderson, E.J. and Gronewold, A., 2020. Coastal Water Level Variability, Inundation, and Impacts on Nearshore Infrastructure. In AGU Fall Meeting 2020. AGU.
Hong, Y., Anderson, E. J., Fry, L., Do, H. X., Gronewold, A., and Kesseler, J., Mason, L., Read, L. K., Nasab, A. R., 2020, Evaluating precipitation products over large lakes and international basins, 2020 Conference on Great Lakes Research, Winnipeg, Canada.
Do, H. X., Gronewold, A., Fry, L., and Smith, J., 2020, Driving factors of changes in water levels across the Laurentian Great Lakes, 2020 Conference on Great Lakes Research, Winnipeg, Canada.
Addor, N., Do, H. X., Alvarez-Garreto, C., Coxon, G., Fowler, K., and Mendoza, P., 2020, Large-sample hydrology to foster open and collaborative research: a review of recent progress and grand challenges, EGU General Assembly 2020, Vienna, Austria
Do, H. X., and Gronewold, A., Evaluating the capacity of the National Water Model streamflow reanalysis in simulating flood hazards, 2020, MUSE, Ann Arbor, U.S.
Do, H. X., Gronewold, A., Fry, L., and Smith, J., 2019, Understanding drivers of recent record-high water levels across the Laurentian Great Lakes, AGU Fall Meeting 2019, San Francisco, U.S.
Do, H. X., Zhao F., Westra S., Leonard L., Gudmundsson L., Chang J., Ciais P., Gerten D., Gosling S.N., Schmied H.M., Stacke T., Stanislas B.J.E, and Wada Y., 2019, A hybrid model-observation analysis of changes in global flood hazard, AGU Fall Meeting 2019, San Francisco, U.S..
Chen, Z., Do, H. X., Gronewold, A., Mulumpwa, M., Chavula, G., and Cosmo, N., 2019, Reconstructing and forecasting the water balance of Lake Chilwa (Malawi), AGU Fall Meeting 2019, San Francisco, U.S.
Gronewold A., Askar M., Jayoram J., Chen Z., Do, H. X., Mulumpwa M., Ngongondo, C., and Chavula, G., 2019, Customizing an interactive hydroclimate dashboard for large lakes in Africa, AGU Fall Meeting 2019, San Francisco, U.S.
Do, H. X., [Invited] Reconciling the Great Lakes water balance, University of Adelaide, Adelaide, Australia, September 15, 2019
Do, H. X., Zhao F., Westra S., Leonard L., Gudmundsson L., Chang J., Ciais P., Gerten D., Gosling S.N., Schmied H.M., Stacke T., Stanislas B.J.E, and Wada Y., 2019, Understanding past and future changes to global flood hazard: Comparison of global hydrological models with streamflow observations, The 23rd International Congress on Modelling and Simulation, Canberra, Australia
Do, H. X., Zhao F., Westra S., Leonard L., and Gudmundsson L., 2019, A global-scale comparison of modeled and observed trends in magnitude and frequency of flooding, EGU General Assembly 2019, Vienna, Austria
Gudmundsson L., Do H. X., Gosling S.N., Grillakis M.G., Koutroulis A.G., Leonard M., Lui J., Schmied H.M., Papadimitriou L., Pokhrel Y., Schewe J., Seneviratne S.I., Thiery W., Westra S., Zhang X., and Zhao F., 2019, Detection of Human influence in global accounts of observed indicators of low, mean and high streamflow, EGU General Assembly 2019, Vienna, Austria
Do, H. X., [Invited] Changes in flood hazards in the context of climate changes – A global perspective, Nong Lam University, Ho Chi Minh City, Vietnam, April 05, 2019
Do, H. X., Gudmundsson, L., Leonard, M., and Westra, S., 2018, The Global Streamflow Indices and Metadata (GSIM) archive – A compilation of 30,959 streamflow records across the globe, AGU Fall Meeting 2018, Washington D.C., U.S.
Gudmundsson L., Do, H. X., Gosling, S., Leonard, M., Liu, J., Schmied, H.M., Schewe, J., Seneviratne, S.I., Westra, S., Wim, T., Zhang, X. and Zhao, F., 2018, Using big data to detect and attribute global hydrological change, AGU Fall Meeting 2018, Washington D.C., U.S.
Do, H. X., [Invited] The Global Streamflow Indices and Metadata (GSIM) archive and global-scale investigations of flood characteristics, UFZ Helmholtz Centre for Environmental Research, Leipzig, Germany, April 18, 2018
Gudmundsson, L., Do, H. X., Leonard, M., Westra, S., and Senerivatne, S.I, 2018, Investigating hydrological change using the Global Streamflow Indices and Metadata (GSIM) archive, EGU General Assembly 2018, Vienna, Austria
Do, H. X., Gudmundsson, L., Leonard, M., Westra, S., and Senerivatne, S., 2018, Global-scale prediction of flood timing using atmospheric reanalysis and the Global Streamflow Indices and Metadata (GSIM) archive, EGU General Assembly 2018, Vienna, Austria
Do, H. X., Gudmundsson, L., Leonard, M., Westra, S., and Senerivatne, S.I., 2017, The Global Streamflow Indices and Metadata archive (G-SIM): A compilation of global streamflow time series indices and meta-data, EGU General Assembly 2017, Vienna, Austria
Do, H. X., Westra, S., and Leonard, M., 2016, A global-scale investigation of trends in annual maximum streamflow, OzEWEX 3rd National Workshop, Canberra, Australia
Do, H. X., Westra, S., and Leonard, M., 2016, Are worldwide floods changing? Evidence from global high-quality annual maximum streamflow records, EGU General Assembly 2016, Vienna, Austria