- Binh Pham-Duc, 2023: Comparison of multi-source satellite remote sensing observations for monitoring the variations of small lakes: a case study of Dai Lai Lake (Vietnam). ”Journal of Water and Climate Change”. https://doi.org/10.2166/wcc.2023.505
- Pham-Duc, B., Tran-Anh, Q., and Tong-Si, S., 2023: Monitoring monthly variation of Tonle Sap Lake water volume using Sentinel-1 imagery and satellite altimetry data. Vietnam Journal of Earth Sciences. https://doi.org/10.15625/2615-9783/18897
- Pham-Duc, B., Nguyen, H., Phan, H., and Tran-Anh, Q., 2023: Trends and applications of google earth engine in remote sensing and earth science research: a bibliometric analysis using scopus database. Earth Sci Inform. https://doi.org/10.1007/s12145-023-01035-2
- Binh Pham-Duc, 2023: Mapping small burned areas using high spatial resolution planetscope imagery: a case study of the wildfire in Da Lat city. ”Journal of Forestry Science and Technology”. https://doi.org/10.55250/jo.vnuf.8.2.2023.097-106
- Nguyen, P. L, M.K. Pham, V.H. Vu, T. N. Truong, H. Vo-Van, T. Ngo-Duc, 2023: A Data-driven Approach for High Accurate Spatiotemporal Precipitation Estimation. Neural Computing and Applications, accepted.
- Nguyen, Q. S, C.L. Nguyen, T. Ngo-Duc, S. Ouillon, 2023: Applying a machine learning-based method for the prediction of suspended sediment concentration in the Red River basin. Modeling Earth Systems and Environment, accepted.
- T. Trinh, N. Do, L. Trinh-Tuan, K. Carr, 2023: Flood forecasting by means of dynamical downscaling of global NWPs coupling with a hydrologic model at Nong Son-Thanh My River basins. Journal of Water and Climate Change 14 (9), 3257-3279. doi: 10.2166/wcc.2023.262
- [in Vietnamese] Ngo-Duc, T., L. Trinh-Tuan, 2023: Future Rainfall Projections in Vietnam based on a CMIP6 Dynamical Downscaling Experiment. VNU Journal of Science: Earth and Environmental Sciences. doi: 10.25073/2588-1094/vnuees.4933
- Chung, J.X, L. Juneng, J. Santisirisomboon, T. Ngo-Duc, T. Phan-Van, L. Trinh-Tuan, F. Cruz, J. Dado, R. Srisawadwong, D. Gunawan, J.L. McGregor, H. Sasaki, A. Marata, S.T. Ngai, P. Singhruck, M.S.F. Mohd, E. Aldrian, E. Salimun, F. Tangang, 2023: Future changes in mean and extreme precipitation over Peninsular Malaysia using CORRDEX-SEA 5km simulations. APN Science Bulletin, 13(1), 263–276. doi:10.30852/sb.2023.2348.
- Nguyen-Duy, T., N. Ayoub, P. De Mey-Frémaux, T. Ngo-Duc, 2023: How sensitive is a simulated river plume to uncertainties in wind forcing? A case study for the Red River plume (Vietnam). Ocean Modelling, 186, 102256. https://doi.org/10.1016/j.ocemod.2023.102256.
- D. Nguyen-Le, 2023: Climatology of the global summer monsoon rainy seasons: Revisited from a high-resolution satellite climate data record. Atmospheric Research, 289, 106749, https://doi.org/10.1016/j.atmosres.2023.106749
- Magnaye, A.M.T., L.G.B Aragon, J.M.B. Dado, F.T. Cruz, G.T. Narisma, L.M.P. Olaguera, F. Tangang, L. Juneng, T. Ngo-Duc, T. Phan-Van, J. Santisirisomboon, P. Singhruck, D. Gunawan, D., & E. Aldrian, 2023: Process-based analysis of sea surface temperature on climate in CORDEX-SEA simulations. Climate Dynamics, https://doi.org/10.1007/s00382-023-06826-3.
- Nguyen-Duy, T. , T. Ngo-Duc*, Q. Desmet, 2023: Performance evaluation and ranking of CMIP6 global climate models over Vietnam. Journal of Water and Climate Change, 14(6), 1831, https://doi.org/10.2166/wcc.2023.454
- Tran-Anh, Q. , T. Ngo-Duc*, E. Espagne, L. Trinh-Tuan , 2023: A 10-km CMIP6 downscaled dataset of temperature and precipitation for historical and future Vietnam climate. Scientific Data, 10:257, https://doi.org/10.1038/s41597-023-02159-2
- [in Vietnamese] Ngo-Duc, T., B.T.K. Hoa, 2023: Trend and return frequency of hot and cold extreme events in Northern Vietnam during the period 1961–2018. VNU Journal of Science: Earth and Environmental Sciences. doi: 10.25073/2588-1094/vnuees.4934
- Kreibich H., Van Loon, A.F., Schröter, K., …., T. Ngo-Duc, et al., 2023: Panta Rhei benchmark dataset: socio-hydrological data of paired events of floods and droughts. Earth System Science Data, 15, 2009–2023, https://doi.org/10.5194/essd-15-2009-2023.
- Ngo-Duc, T., 2023: Rainfall extremes in Northern Vietnam: a comprehensive analysis of patterns and trends. Vietnam Journal of Earth Sciences, 45(2),183–198, doi: 10.15625/2615-9783/18284
- [in Vietnamese] Ngô Đức Thành, 2023: Kịch bản Biến đổi khí hậu cho khu vực Đông Nam Á và Việt Nam: hiện trạng và đề xuất hướng nghiên cứu tiếp theo (Climate change scenarios for Southeast Asia and Vietnam: current status and future research directions). VNU Journal of Science: Earth and Environmental Sciences, 39(1), 1–15. doi: 10.25073/2588-1094/vnuees.4932.
- Nguyen-Xuan, T., & Im, E.-S., 2023: Assessing the performance of the non-hydrostatic RegCM4 with the improved urban parameterization over southeastern China. Urban Climate (Vol. 49, p. 101527). Elsevier BV. https://doi.org/10.1016/j.uclim.2023.101527
- Espagne, E., Y. Ha Boi, K. Houngbedji, T. Ngo-Duc, 2023: Typhoons and urbanisation in Vietnam, Revue d’Economie du Développement, 31, 57-62. https://doi.org/10.3917/edd.362.0057
- Nguyen-Thanh, H. , T. Ngo-Duc*, M. Herrmann, 2023: The distinct impacts of the two types of ENSO on rainfall variability over Southeast Asia. Climate Dynamics, https://doi.org/10.1007/s00382-023-06673-2.
- Le, Q. T. and S. S. Tong, (2023): Monitoring Mangrove Forest Changes in Vietnam Using Cloud-Based Geospatial Analysis and MultiTemporal Satellite Images. Environmental Science and Engineering,: 543-560. DOI: 10.1007/978-3-031-17808-5_33.
- Pham, T. L., S. S. Tong and V. N. Nguyen (2023): Flash Flood Hazard Mapping Based on Analytic Hierarchy Process for a Complex Terrain: A Case Study of Chu Lai Peninsula, Vietnam. Environmental Science and Engineering, DOI: 573-590. 10.1007/978-3-031-17808-5_35
- Tong, S. S., B. Pham-Duc, T. H. Phan, V. T. Bui, V. C. Le, T. L. Pham and T. H. A. Tong (2023). “Investigation of estuarine mangrove ecosystem changes using unmanned aerial vehicle images: Case study in Xuan Thuy National Park (Vietnam).” Regional Studies in Marine Science 62: 102910. DOI:10.1016/j.rsma.2023.102910