Dr Yunqing Xuan

Research Highlights

1. Farias, V., Montenegro, S., Silva, R., Xuan, Y., Ursulino, B., & Santos, C. (2025). Assessing Streamflow Responses to Future Climate and Land Use and Land Cover Change in a Transitional Brazilian Basin Between Semiarid Dry Forest and Humid Tropical Forest Biomes. Hydrological Processes, 39(11)

   https://doi.org/10.1002/hyp.70316, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa70898

   https://doi.org/10.1002/hyp.70316
2. Singha, C., Chakraborty, N., Sahoo, S., Pham, Q., & Xuan, Y. (2025). A novel framework for flood susceptibility assessment using hybrid analytic hierarchy process-based machine learning methods. Natural Hazards, 121(11), 13765-13810.

   https://doi.org/10.1007/s11069-025-07335-8, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa69607
3. Claudino, C., Bertrand, G., Nóbrega, R., Almeida, C., Gusmão, A., Montenegro, S., Silva, B., Patriota, E., Lemos, F., Coutinho, J., Sousa, J., Andrade, J., Melo, D., Rodrigues, D., Oliveira, L., Xuan, Y., Moura, M., Montenegro, A., Brocca, L...., & Coelho, V. (2025). ESTIMET: Enhanced and Spatial-Temporal Improvement of MODIS EvapoTranspiration algorithm for all sky conditions in tropical biomes. Remote Sensing of Environment, 325, 114771

   https://doi.org/10.1016/j.rse.2025.114771, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa69361
4. Ning, Y., Nunes, J., Zhou, J., Baartman, J., Ritsema, C., Xuan, Y., Liu, X., Ma, L., & Chen, X. (2025). Decoupling the effects of climate, topography, land use, revegetation, and dam construction on streamflow, sediment, total nitrogen and phosphorus in the Yangtze River Basin. Science of The Total Environment, 968, 178800

   https://doi.org/10.1016/j.scitotenv.2025.178800, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa68922
5. 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
6. 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
7. 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
8. Lima, D., Paz, A., Xuan, Y., & Piccilli, D. (2024). Incorporating spatial variability in surface runoff modeling with new DEM-based distributed approaches. Computational Geosciences, 28(6), 1331-1348.

   https://doi.org/10.1007/s10596-024-10321-x, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa67550
9. 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
10. 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
11. 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
12. 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
13. 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
14. 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
15. 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
16. 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
17. 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
18. 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
19. 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
20. 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
21. 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
22. 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
23. 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
24. 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
25. 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
26. 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
27. 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
28. 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
29. 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
30. 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
31. 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
32. 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
33. 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
34. 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
35. 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
36. 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
37. 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
38. 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
39. 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
40. 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
41. 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
42. 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
43. 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
44. 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
45. 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
46. 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
47. 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
48. 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
49. 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
50. 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
51. 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
52. 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
53. 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
54. 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
55. 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
56. 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
57. 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
58. 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
59. 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
60. 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
61. 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
62. 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
63. 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
64. 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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