30 citations as recorded by crossref.

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4. Comparison of nonstationary models in analyzing bivariate flood frequency at the Three Gorges Dam X. Zhang et al. 10.1016/j.jhydrol.2019.124208
5. The impact of the Three Gorges Dam on summer streamflow in the Yangtze River Basin Z. Su et al. 10.1002/hyp.13619
6. Climate-informed clustering based nonstationary regional extreme flood events spatio-temporal evolution using hierarchical Bayesian modeling H. Zeng et al. 10.1016/j.ejrh.2024.102066
7. Challenges and Evolution of Water Level Monitoring towards a Comprehensive, World-Scale Coverage with Remote Sensing M. Machefer et al. 10.3390/rs14153513
8. Improving hydrological projection performance under contrasting climatic conditions using spatial coherence through a hierarchical Bayesian regression framework Z. Pan et al. 10.5194/hess-23-3405-2019
9. Probabilistic subseasonal precipitation forecasts using preceding atmospheric intraseasonal signals in a Bayesian perspective Y. Li et al. 10.5194/hess-26-4975-2022
10. An improved nonstationary model for flood frequency analysis and its implication for the Three Gorges Dam, China Q. Dong et al. 10.1080/02626667.2019.1596274
11. Monthly drought prediction based on ensemble models M. Shaukat et al. 10.7717/peerj.9853
12. Spatially coherent trends of annual maximum daily precipitation in the United States X. Sun & U. Lall 10.1002/2015GL066483
13. Spatiotemporal patterns of precipitation regimes in the Huai River basin, China, and possible relations with ENSO events Y. Wang et al. 10.1007/s11069-016-2303-3
14. Quantifying the effect of climate variability on seasonal precipitation using Bayesian clustering approach in Kebir Rhumel Basin, Algeria L. Belkhiri & N. Krakauer 10.1007/s00477-023-02488-z
15. A hierarchical Bayesian model for decomposing the impacts of human activities and climate change on water resources in China X. Zhang et al. 10.1016/j.scitotenv.2019.02.189
16. Bayesian Framework for Uncertainty Quantification and Bias Correction of Projected Streamflow in Climate Change Impact Assessment J. George & P. Athira 10.1007/s11269-024-03876-y
17. A review of methods for monitoring streamflow for sustainable water resource management P. Dobriyal et al. 10.1007/s13201-016-0488-y
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19. Impacts of various types of El Niño–Southern Oscillation (ENSO) and ENSO Modoki on the rainy season over the Huaihe River basin Q. Cao et al. 10.1002/joc.6002
20. Changing Seasonality of Annual Maximum Floods over the Conterminous US: Potential Drivers and Regional Synthesis B. Basu et al. 10.1061/JHYEFF.HEENG-5768
21. China’s socioeconomic risk from extreme events in a changing climate: a hierarchical Bayesian model X. Yuan et al. 10.1007/s10584-016-1749-3
22. A hybrid framework for forecasting monthly reservoir inflow based on machine learning techniques with dynamic climate forecasts, satellite-based data, and climate phenomenon information D. Tian et al. 10.1007/s00477-021-02023-y
23. Diagnosing the impacts of landscape characteristics on hydrologic signatures in the Krycklan catchment in Sweden using a flexible hydrological model R. Guo et al. 10.1016/j.pce.2024.103565
24. On the Predictability of Daily Rainfall during Rainy Season over the Huaihe River Basin Q. Cao et al. 10.3390/w11050916
25. Entropy‐based spatiotemporal patterns of precipitation regimes in the Huai River basin, China Q. Zhang et al. 10.1002/joc.4498
26. Hierarchical Bayesian clustering for nonstationary flood frequency analysis: Application to trends of annual maximum flow in Germany X. Sun et al. 10.1002/2015WR017117
27. Reducing the uncertainty of time-varying hydrological model parameters using spatial coherence within a hierarchical Bayesian framework Z. Pan et al. 10.1016/j.jhydrol.2019.123927
28. Forecasting China’s regional energy demand by 2030: A Bayesian approach X. Yuan et al. 10.1016/j.resconrec.2017.08.016
29. Comparison of ensemble models for drought prediction based on climate indexes X. Zhang et al. 10.1007/s00477-019-01650-w
30. Streamflow Simulation Using Bayesian Regression with Multivariate Linear Spline to Estimate Future Changes R. Das Bhowmik et al. 10.3390/w10070875