37 citations as recorded by crossref.

1. Runoff Predicting and Variation Analysis in Upper Ganjiang Basin under Projected Climate Changes C. Deng & W. Wang
2. A Differentiable Hydrology Approach for Modeling With Time‐Varying Parameters C. Krapu & M. Borsuk
3. Improving Parameter Transferability of GR4J Model under Changing Environments Considering Nonstationarity L. Zeng et al.
4. A hydrologic similarity-based parameters dynamic matching framework: Application to enhance the real-time flood forecasting H. Wu et al.
5. Evaluating five shoreline change models against 40 years of field survey data at an embayed sandy beach O. Repina et al.
6. DeepBase: A Deep Learning-based Daily Baseflow Dataset across the United States P. Ghaneei & H. Moradkhani
7. Improving multi-decadal coastal shoreline change predictions by including model parameter non-stationarity R. Ibaceta et al.
8. Dynamics of hydrological-model parameters: mechanisms, problems and solutions T. Lan et al.
9. Simulating Runoff and Actual Evapotranspiration via Time-Variant Parameter Method: The Effects of Hydrological Model Structures Z. Pan et al.
10. The temporal variations in runoff-generation parameters of the Xinanjiang model due to human activities: A case study in the upper Yangtze River Basin, China X. Zhang et al.
11. Doing hydrology when no in-situ data exists: Surrogate River discharge Model (SRM) H. Yoon et al.
12. Data Assimilation and Online Parameter Optimization in Groundwater Modeling Using Nested Particle Filters M. Ramgraber et al.
13. Reducing the uncertainty of time-varying hydrological model parameters using spatial coherence within a hierarchical Bayesian framework Z. Pan et al.
14. Quantifying the flood coincidence likelihood between Huai River and its tributaries considering the nonstationarity Z. Zhang et al.
15. Multi-Objective Calibration of a Distributed Hydrological Model in a Highly Glacierized Watershed in Central Asia H. Ji et al.
16. Optimization of parameters in the surface-layer scheme of the Weather Research and Forecasting (WRF) model for near-surface wind and temperature J. Lee et al.
17. Land surface temperature assimilation into a soil moisture-temperature model for retrieving farm-scale root zone soil moisture S. Ahmadi et al.
18. Enhancing SWAT’s snow module for multivariate Elevation-dependent snow and streamflow data assimilation M. Bayat et al.
19. Modelling time-variant parameters of a two-parameter monthly water balance model C. Deng et al.
20. Uncertainty quantification using the particle filter for non-stationary hydrological frequency analysis S. Sen et al.
21. A Novel Physics‐Aware Machine Learning‐Based Dynamic Error Correction Model for Improving Streamflow Forecast Accuracy A. Roy et al.
22. An Efficient Estimation of Time‐Varying Parameters of Dynamic Models by Combining Offline Batch Optimization and Online Data Assimilation Y. Sawada
23. Physically consistent conceptual rainfall–runoff model for urbanized catchments M. Saadi et al.
24. A framework for seasonal variations of hydrological model parameters: impact on model results and response to dynamic catchment characteristics T. Lan et al.
25. Multiplicative Non‐Gaussian Model Error Estimation in Data Assimilation S. Pathiraja & P. van Leeuwen
26. A novel floodwave response model for time-varying streambed conductivity using space-time collocation Trefftz method J. Fang et al.
27. Assimilation of remotely sensed evapotranspiration products for streamflow simulation based on the CAMELS data sets C. Deng et al.
28. Comparison of data assimilation based approach for daily streamflow simulation under multiple scenarios in Ganjiang River Basin W. Weiguang et al.
29. A dynamic land use/land cover input helps in picturing the Sahelian paradox: Assessing variability and attribution of changes in surface runoff in a Sahelian watershed R. Yonaba et al.
30. Effects of Model Spatial Structure and Basin Characteristics on the Performance of Three Hydrologic Models F. Kacar et al.
31. The Quest for Model Uncertainty Quantification: A Hybrid Ensemble and Variational Data Assimilation Framework P. Abbaszadeh et al.
32. A time-varying parameter estimation approach using split-sample calibration based on dynamic programming X. Zhang & P. Liu
33. Assessing the Effects of Urban Landscape Area and Pattern Change on Flood Events in Qinhuai River Basin, China Y. Yuan et al.
34. Crossing the rural–urban boundary in hydrological modelling: How do conceptual rainfall–runoff models handle the specificities of urbanized catchments? M. Saadi et al.
35. Which range of streamflow data is most informative in the calibration of an hourly hydrological model? M. Saadi & C. Furusho-Percot
36. Socio-hydrological data assimilation: analyzing human–flood interactions by model–data integration Y. Sawada & R. Hanazaki
37. Sustainable Operations for Fashion Manufacturing: A Dynamic Time-Varying Framework S. Hosseini-Motlagh et al.