Dr Yunqing Xuan

Research Highlights

1. Wang, H. & Xuan, Y. (2023). Deep Learning of Extreme Rainfall Patterns Using Enhanced Spatial Random Sampling With Pattern Recognition. Special Publications (pp. 343-356). Wiley

   https://doi.org/10.1002/9781119639268.ch12, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa67552
2. Wang, H. & Xuan, Y. (2024). A Nonstationary Multivariate Framework for Modelling Compound Flooding. In Springer Water (pp. 407-428). Springer Nature Singapore.

   https://doi.org/10.1007/978-981-97-4072-7_26, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa67551
3. Zhang, Y., Han, Y., Xuan, Y., Zhou, H., Gao, H., & Yang, N. (2024). Quantifying the influence of atmospheric rivers on rainfall over the Jianghuai River Basin during the 2022 Mei‐yu season. Quarterly Journal of the Royal Meteorological Society, 150(762), 3182-3195.

   https://doi.org/10.1002/qj.4758, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa66636
4. Lima, D., Paz, A., Xuan, Y., & Piccilli, D. (2024). Incorporating spatial variability in surface runoff modeling with new DEM-based distributed approaches. Computational Geosciences, 0

   https://doi.org/10.1007/s10596-024-10321-x, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa67550
5. Wang, H., Xuan, Y., Tran, T., Couasnon, A., Scussolini, P., Luu, L., Nguyen, H., & Reeve, D. (2023). Changes in seasonal compound floods in Vietnam revealed by a time-varying dependence structure of extreme rainfall and high surge. Coastal Engineering, 183, 104330

   https://doi.org/10.1016/j.coastaleng.2023.104330, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa63367

   http://dx.doi.org/10.1016/j.coastaleng.2023.104330
6. Song, X., Zhang, J., Zhan, C., Xuan, Y., Ye, M., & Xu, C. (2015). Global sensitivity analysis in hydrological modeling: Review of concepts, methods, theoretical framework, and applications. Journal of Hydrology, 523, 739-757.

   https://doi.org/10.1016/j.jhydrol.2015.02.013, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa21107
7. Zhu, D., Echendu, S., Xuan, Y., Webster, M., & Cluckie, I. (2016). Coupled hydro-meteorological modelling on a HPC platform for high-resolution extreme weather impact study. Hydrology and Earth System Sciences, 20(12), 4707-4715.

   https://doi.org/10.5194/hess-20-4707-2016, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa31336
8. Xuan, Y., Cluckie, I., Wang, Y., Cluckie, I., & Xuan, Y. (2009). Uncertainty analysis of hydrological ensemble forecasts in a distributed model utilising short-range rainfall prediction. Hydrology and Earth System Sciences, 13(3), 293-303.

   https://doi.org/10.5194/hess-13-293-2009, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa10540
9. Zhu, D., Xuan, Y., Cluckie, I., Cluckie, I., & Xuan, Y. (2014). Hydrological appraisal of operational weather radar rainfall estimates in the context of different modelling structures. Hydrology and Earth System Sciences, 18(1), 257-272.

   https://doi.org/10.5194/hess-18-257-2014, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa21110
10. Wang, H. & Xuan, Y. (2021). Spatial Variation of Extreme Rainfall Observed From Two Century‐Long Datasets. Geophysical Research Letters, 48(8)

    https://doi.org/10.1029/2020gl091933, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa55563
11. Baldassarre, G., Elshamy, M., Griensven, A., Soliman, E., Kigobe, M., Ndomba, P., Mutemi, J., Mutua, F., Moges, S., Xuan, Y., Solomatine, D., & Uhlenbrook, S. (2011). Future hydrology and climate in the River Nile basin: a review. Hydrological Sciences Journal, 56(2), 199-211.

    https://doi.org/10.1080/02626667.2011.557378, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa10414
12. Song, X., Zhang, J., AghaKouchak, A., Roy, S., Xuan, Y., Wang, G., He, R., Wang, X., & Liu, C. (2014). Rapid urbanization and changes in spatiotemporal characteristics of precipitation in Beijing metropolitan area. Journal of Geophysical Research: Atmospheres, 119(19), 11250-11271.

    https://doi.org/10.1002/2014JD022084, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa21109
13. Wang, H. & Xuan, Y. (2020). SRS-GDA: A spatial random sampling toolbox for grid-based hydro-climatic data analysis in environmental change studies. Environmental Modelling & Software, 124, 104598

    https://doi.org/10.1016/j.envsoft.2019.104598, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa52972
14. Song, X., Mo, Y., Xuan, Y., Wang, Q., Wu, W., Zhang, J., & Zou, X. (2021). Impacts of urbanization on precipitation patterns in the greater Beijing–Tianjin–Hebei metropolitan region in northern China. Environmental Research Letters, 16(1), 014042

    https://doi.org/10.1088/1748-9326/abd212, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa55902
15. Filho, G., Coelho, V., Freitas, E., Xuan, Y., & Almeida, C. (2021). An improved rainfall-threshold approach for robust prediction and warning of flood and flash flood hazards. Natural Hazards, 105(3), 2409-2429.

    https://doi.org/10.1007/s11069-020-04405-x, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa55586
16. Abbas, S., Xuan, Y., & Song, X. (2019). Quantile Regression Based Methods for Investigating Rainfall Trends Associated with Flooding and Drought Conditions. Water Resources Management, 33(12), 4249-4264.

    https://doi.org/10.1007/s11269-019-02362-0, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa38948

    http://dx.doi.org/10.1007/s11269-019-02362-0
17. Abbas, S. & Xuan, Y. (2019). Development of a New Quantile-Based Method for the Assessment of Regional Water Resources in a Highly-Regulated River Basin. Water Resources Management, 33(9), 3187-3210.

    https://doi.org/10.1007/s11269-019-02290-z, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50789

    https://rdcu.be/bGlJR
18. Zhu, D., Ren, Q., Xuan, Y., Chen, Y., Cluckie, I., Cluckie, I., & Xuan, Y. (2013). An effective depression filling algorithm for DEM-based 2-D surface flow modelling. Hydrology and Earth System Sciences, 17(2)-505.

    https://doi.org/10.5194/hess-17-495-2013, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa15571
19. Abbas, S., Xuan, Y., & Song, X. (2019). Quantile Regression Based Methods for Investigating Rainfall Trends Associated with Flooding and Drought Conditions. Water Resources Management, 33(12), 4249-4264.

    https://doi.org/10.1007/s11269-019-02362-0, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa52599
20. Abbas, S., Xuan, Y., Al-Rammahi, A., & Addab, H. (2022). A Comparison Study of Observed and the CMIP5 Modelled Precipitation over Iraq 1941–2005. Atmosphere, 13(11), 1869

    https://doi.org/10.3390/atmos13111869, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa61872
21. Zhao, H., Li, H., Xuan, Y., Bao, S., Cidan, Y., Liu, Y., Li, C., & Yao, M. (2023). Investigating the critical influencing factors of snowmelt runoff and development of a mid-long term snowmelt runoff forecasting. Journal of Geographical Sciences, 33(6), 1313-1333.

    https://doi.org/10.1007/s11442-023-2131-9, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa63775

    http://dx.doi.org/10.1007/s11442-023-2131-9
22. Zhao, H., Li, H., Xuan, Y., Li, C., & Ni, H. (2022). Improvement of the SWAT Model for Snowmelt Runoff Simulation in Seasonal Snowmelt Area Using Remote Sensing Data. Remote Sensing, 14(22), 5823

    https://doi.org/10.3390/rs14225823, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa61952
23. Wang, H. & Xuan, Y. (2022). An Area-Orientated Analysis of the Temporal Variation of Extreme Daily Rainfall in Great Britain and Australia. Water, 15(1), 128

    https://doi.org/10.3390/w15010128, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa62230
24. Li, H., Sun, J., Zhang, H., Zhang, J., Jung, K., Kim, J., Xuan, Y., Wang, X., & Li, F. (2018). What Large Sample Size Is Sufficient for Hydrologic Frequency Analysis?—A Rational Argument for a 30-Year Hydrologic Sample Size in Water Resources Management. Water, 10(4), 430

    https://doi.org/10.3390/w10040430, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa39313

    http://www.mdpi.com/2073-4441/10/4/430/htm
25. Probert, J., Koenig-Lewis, N., Stacey, K., Zhao, A., Xuan, Y., & Organ, K. (2014). Sustainable water consumption: the role of consumer behaviour in (re)shaping water utility industry business models. In Corporate Responsibility Research ConferenceISIS.

    SU Repository: https://cronfa.swan.ac.uk/Record/cronfa19211

    http://static.uni-graz.at/fileadmin/urbi-institute/Systemwissenschaften/ISIS_Reports/ISIS_reports_6_CRRC.pdf
26. Bray, M., Han, D., Xuan, Y., Bates, P., & Williams, M. (2011). Rainfall uncertainty for extreme events in NWP downscaling model. Hydrological Processes, 25(9), 1397-1406.

    https://doi.org/10.1002/hyp.7905, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa10413
27. Abbas, S. & Xuan, Y. (2020). Impact of Precipitation Pre-Processing Methods on Hydrological Model Performance using High-Resolution Gridded Dataset. Water, 12(3), 840

    https://doi.org/10.3390/w12030840, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa53902
28. Freitas, E., Coelho, V., Xuan, Y., Melo, D., Gadelha, A., Santos, E., Galvão, C., Filho, G., Barbosa, L., Huffman, G., Petersen, W., & Almeida, C. (2020). The performance of the IMERG satellite-based product in identifying sub-daily rainfall events and their properties. Journal of Hydrology, 589, 125128

    https://doi.org/10.1016/j.jhydrol.2020.125128, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa54424
29. Wang, H. & Xuan, Y. (2020). Spatial Dependency in Nonstationary GEV Modelling of Extreme Precipitation over Great Britain

    https://doi.org/10.5194/hess-2020-44, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa55567
30. Gadelha, A., Coelho, V., Xavier, A., Barbosa, L., Melo, D., Xuan, Y., Huffman, G., Petersen, W., & Almeida, C. (2019). Grid box-level evaluation of IMERG over Brazil at various space and time scales. Atmospheric Research, 218, 231-244.

    https://doi.org/10.1016/j.atmosres.2018.12.001, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa47941
31. Ma, L., Ni, J., Fleskens, L., Wang, H., & Xuan, Y. (2021). Modelling Fertilizer Use in Relation to Farmers’ Household Characteristics in Three Gorges Reservoir Area, China. Agriculture, 11(6), 472

    https://doi.org/10.3390/agriculture11060472, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa56952
32. Bayissa, Y., Moges, S., Xuan, Y., Van Andel, S., Maskey, S., Solomatine, D., Griensven, A., & Tadesse, T. (2015). Spatio-temporal assessment of meteorological drought under the influence of varying record length: the case of Upper Blue Nile Basin, Ethiopia. Hydrological Sciences Journal, 1-16.

    https://doi.org/10.1080/02626667.2015.1032291, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa21108
33. Seyoum, M., Andel, S., Xuan, Y., & Amare, K. (2013). Precipitation forecasts for rainfall runoff predictions. A case study in poorly gauged Ribb and Gumara catchments, upper Blue Nile, Ethiopia. Physics and Chemistry of the Earth, Parts A/B/C, 61-62, 43-51.

    https://doi.org/10.1016/j.pce.2013.05.005, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa15127
34. Wang, G., Zhang, J., Xuan, Y., Jin, J., Bao, Z., R. M, H., Liu, C., Liu, Y., Yan, X., & Xuan, Y. (2013). Simulating the Impact of Climate Change on Runoff in a Typical River Catchment of the Loess Plateau, China. Journal of Hydrometeorology, e-View, 130528133534008

    https://doi.org/10.1175/JHM-D-12-081.1, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa14967
35. Xuan, Y. (2014). High performance computing (HPC) based hydrological modelling framework to support complex model-coupling and uncertainty studies. In EGU General Assembly 2014

    SU Repository: https://cronfa.swan.ac.uk/Record/cronfa19215
36. Xuan, Y., Zhu, D., Triballi, P., & Cluckie, I. (2014). Forecast uncertainty of a lumped hydrological model coupled with the STEPS radar rainfall nowcasts. In Internationall Symposium Weather Radar and Hydrology

    SU Repository: https://cronfa.swan.ac.uk/Record/cronfa19214
37. Xuan, Y., Zhu, D., & Cluckie, I. (2014). Developing A High Performance Computing (Hpc) Based Hydrological Modelling Framework To Support Extreme Weather Impact Studies. In 11th International Conference on Hydroinformatics

    SU Repository: https://cronfa.swan.ac.uk/Record/cronfa19213
38. Song, X., Zhang, J., Wang, G., & Xuan, Y. (2014). Impact Of Urbanization On Spatial And Temporal Variation Of Rainfall In Beijing Over The Last 50 Years. In 11th International Conference on Hydroinfomatics

    SU Repository: https://cronfa.swan.ac.uk/Record/cronfa19212
39. Zhu, D., Xuan, Y., Cluckie, I., & Xuan, Y. (2014). Hydrological appraisal of operational weather radar rainfall estimates in the context of different modelling structures. Hydrology and Earth System Sciences Discussions, 18, 257-272.

    https://doi.org/10.5194/hess-18-257-2014, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa15566
40. Lihua, M., Kang, S., Xuan, Y., Xiaoling, S., & Solomatine, D. (2012). Analysis and simulation of the influencing factors on regional water use based on information entropy. Water Policy, 14(6), 1033

    https://doi.org/10.2166/wp.2012.066, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa13906
41. Baldassarre, G., Elshamy, M., Griensven, A., Soliman, E., Kigobe, M., Ndomba, P., Mutemi, J., Mutua, F., Xuan, Y., & Xuan, Y. (2011). A Critical Discussion of Recent Studies Evaluating the Impacts of Climate Change on Water Resources in the Nile basin. Nile Basin Water Science & Engineering Journal, 4(2), 94-100.

    SU Repository: https://cronfa.swan.ac.uk/Record/cronfa12769

    http://www.nilebasin-journal.com/Volumes/Volume4/issue11/9-ACCION-Discussion-NBCBN-Formatted.pdf
42. L, M. & Xuan, Y. (2010). Analysis of Multiple Impacts of Global Change on Water Utilization Using ANN Model - A case study in North-West China. In Geophysical Research Abstracts

    SU Repository: https://cronfa.swan.ac.uk/Record/cronfa12777
43. Corzo, G., Jonoski, A., Yimer, G., Xuan, Y., & Xuan, Y. (2009). Downscaling global climate models using modular models and fuzzy committees. In The 8the International Conference on Hydroinformatics

    SU Repository: https://cronfa.swan.ac.uk/Record/cronfa12781
44. Tang, Y., Shangyang, L., & Xuan, Y. (2009). Integrated Modeling of Flood Forecasting and Multi-reservoir-based Operation in Yellow River Basin. In Proc. of 4th International Yellow River Forum

    SU Repository: https://cronfa.swan.ac.uk/Record/cronfa12778
45. Corzo, G., Xuan, Y., Martinez, C., Solomatine, D., & Xuan, Y. (2009). Ensemble of radar and MM5 precipitation forecast models with Data Driven Modelling Techniques. Redbook Hydroinformatics in Hydrology, Hydrogeology and Water Resources IAHS

    SU Repository: https://cronfa.swan.ac.uk/Record/cronfa10425
46. van Griensven, A., Xuan, Y., Haguma, D., Niyonzima, W., & Xuan, Y. (2008). Understanding riverine wetland-catchment processes using remote sensing data and modelling. In Proceedings of the iEMSs Fourth Biennial Meeting: International Congress on Environmental Modelling and Software

    SU Repository: https://cronfa.swan.ac.uk/Record/cronfa12780
47. Niyonzima, W., van Griensven, A., Xuan, Y., & Xuan, Y. (2008). Hydrological Modelling of Wetlands in the Kagera basin using SWAT. In SWAT International Conference

    SU Repository: https://cronfa.swan.ac.uk/Record/cronfa12779
48. Xuan, Y., Cluckie, I., & Xuan, Y. (2008). Uncertainty Propagation in Ensemble Rainfall Prediction Systems used for Operational Real-time Flood Forecasting. Hydroinformatics in Practice: Computational Intelligence and Technological Developments in Water Applications Springer-Verlag

    SU Repository: https://cronfa.swan.ac.uk/Record/cronfa10426
49. Butts, M., Falk, A. K, V., Xuan, Y., Cluckie, I, D., & Xuan, Y. (2007). Integrating meteorological and uncertainty information in flood forecasting: the FLOODRELIEF project. Quantification and Reduction of Predictive Uncertainty for Sustainable Water Resources Management IAHS

    SU Repository: https://cronfa.swan.ac.uk/Record/cronfa10427
50. Ju, X., Xuan, Y., & Zou, X. (2000). Analyses on the Severe Flooding of Yangtze River Catchment of 1998. Journal of Natural Disaster, 9(2)

    SU Repository: https://cronfa.swan.ac.uk/Record/cronfa10422
51. Zhang, J., Xuan, Y., Li, J., & Xuan, Y. (2000). Developing Real-time Flood Systems – Issues and Solutions. Journal of Hohai University, 28(1)

    SU Repository: https://cronfa.swan.ac.uk/Record/cronfa10423
52. Zhang, J., Xuan, Y., Li, J., & Xuan, Y. (1999). Parameter Optimisation of Hydrological Models and Its Application. Hydrology (in Chinese), 19

    SU Repository: https://cronfa.swan.ac.uk/Record/cronfa10424
53. Filho, G., Coelho, V., Freitas, E., Xuan, Y., Brocca, L., & Almeida, C. (2022). Regional-scale evaluation of 14 satellite-based precipitation products in characterising extreme events and delineating rainfall thresholds for flood hazards. Atmospheric Research, 276, 106259

    https://doi.org/10.1016/j.atmosres.2022.106259, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa60091
54. Cidan, Y., Li, H., Xuan, Y., Sun, H., & You, F. (2022). Runoff Forecast for the Flood Season Based on Physical Factors and Their Effect Process and Its Application in the Second Songhua River Basin, China. Sustainability, 14(17), 10627

    https://doi.org/10.3390/su141710627, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa60997
55. Wang, H. & Xuan, Y. (2022). A Spatial Pattern Extraction and Recognition Toolbox Supporting Machine Learning Applications on Large Hydroclimatic Datasets. Remote Sensing, 14(15), 3823

    https://doi.org/10.3390/rs14153823, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa60784
56. Barbosa, L., Coelho, V., Gusmão, A., Fernandes, L., Silva, B., Galvão, C., Caicedo, N., Paz, A., Xuan, Y., Bertrand, G., Melo, D., Montenegro, S., Oswald, S., & Almeida, C. (2022). A satellite-based approach to estimating spatially distributed groundwater recharge rates in a tropical wet sedimentary region despite cloudy conditions. Journal of Hydrology, 607, 127503

    https://doi.org/10.1016/j.jhydrol.2022.127503, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa59247
57. Wang, H. & Xuan, Y. (2022). Spatial variation of catchment-oriented extreme rainfall in England and Wales. Atmospheric Research, 266, 105968

    https://doi.org/10.1016/j.atmosres.2021.105968, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa59013
58. Couasnon, A., Scussolini, P., Tran, T., Eilander, D., Muis, S., Wang, H., Keesom, J., Dullaart, J., Xuan, Y., Nguyen, H., Winsemius, H., & Ward, P. (2022). A Flood Risk Framework Capturing the Seasonality of and Dependence Between Rainfall and Sea Levels—An Application to Ho Chi Minh City, Vietnam. Water Resources Research, 58(2)

    https://doi.org/10.1029/2021wr030002, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa59167
59. Abbas, S., Xuan, Y., & Song, X. (2019). Quantile Regression Based Methods for Investigating Rainfall Trends Associated with Flooding and Drought Conditions. Water Resources Management, 33(12), 4249-4264.

    https://doi.org/10.1007/s11269-019-02362-0, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa60092
60. Abbas, S., Xuan, Y., & Bailey, R. (2022). Assessing Climate Change Impact on Water Resources in Water Demand Scenarios Using SWAT-MODFLOW-WEAP. Hydrology, 9(10), 164

    https://doi.org/10.3390/hydrology9100164, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa60998

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