39 citations as recorded by crossref.

1. A comprehensive implementation of the log, Box-Cox and log-sinh transformations for skewed and censored precipitation data Z. Huang et al.
2. Postprocessing continental-scale, medium-range ensemble streamflow forecasts in South America using Ensemble Model Output Statistics and Ensemble Copula Coupling V. Siqueira et al.
3. A Medium and Long-Term Runoff Forecast Method Based on Massive Meteorological Data and Machine Learning Algorithms Y. Li et al.
4. Propagating reliable estimates of hydrological forecast uncertainty to many lead times J. Bennett et al.
5. Seamless streamflow forecasting at daily to monthly scales: MuTHRE lets you have your cake and eat it too D. McInerney et al.
6. A crash-testing framework for predictive uncertainty assessment when forecasting high flows in an extrapolation context L. Berthet et al.
7. Error-correction across gauged and ungauged locations: A data assimilation-inspired approach to post-processing river discharge forecasts G. Matthews et al.
8. Hydrological post-processing based on approximate Bayesian computation (ABC) J. Romero-Cuellar et al.
9. Toward Improved Probabilistic Predictions for Flood Forecasts Generated Using Deterministic Models X. Jiang et al.
10. A Hybrid Muskingum–Machine Learning Flood Forecasting Model: Application and Evaluation in the Tarim River Basin P. Wang et al.
11. A Data Censoring Approach for Predictive Error Modeling of Flow in Ephemeral Rivers Q. Wang et al.
12. A Novel Runoff Forecasting Model Based on the Decomposition-Integration-Prediction Framework Z. Xu et al.
13. Enhanced daily streamflow forecasting in Northeastern Algeria: integrating hybrid machine learning with advanced wavelet transformation techniques N. Daif & A. Hebal
14. Generation of Monthly Precipitation Climatologies for Costa Rica Using Irregular Rain-Gauge Observational Networks M. Mendez et al.
15. Two-stage variational mode decomposition and support vector regression for streamflow forecasting G. Zuo et al.
16. Seasonal Streamflow Forecast in the Tocantins River Basin, Brazil: An Evaluation of ECMWF-SEAS5 with Multiple Conceptual Hydrological Models L. Ávila et al.
17. Towards an Extension of the Model Conditional Processor: Predictive Uncertainty Quantification of Monthly Streamflow via Gaussian Mixture Models and Clusters J. Romero-Cuellar et al.
18. Beyond Deterministic Forecasts: A Scoping Review of Probabilistic Uncertainty Quantification in Short-to-Seasonal Hydrological Prediction D. De León Pérez et al.
19. Development of a national 7-day ensemble streamflow forecasting service for Australia H. Hapuarachchi et al.
20. Multi‐temporal Hydrological Residual Error Modeling for Seamless Subseasonal Streamflow Forecasting D. McInerney et al.
21. Reliability of Ensemble Climatological Forecasts Z. Huang et al.
22. Estimating the added value of GRACE total water storage and uncertainty quantification in seasonal streamflow forecasting L. Liu et al.
23. Tailored calibration of stochastic weather generators for enhanced hydrological system evaluation D. McInerney et al.
24. A new approach of coupled long-range forecasts for streamflow and groundwater level D. Robertson et al.
25. A multi-model evaluation of probabilistic streamflow predictions via residual error modelling J. Romero-Cuellar et al.
26. Flexible forecast value metric suitable for a wide range of decisions: application using probabilistic subseasonal streamflow forecasts R. Laugesen et al.
27. Subselection of seasonal ensemble precipitation predictions for East Africa C. Heinrich‐Mertsching et al.
28. Towards robust seasonal streamflow forecasts in mountainous catchments: impact of calibration metric selection in hydrological modeling D. Araya et al.
29. Improving medium-range streamflow forecasts over South Korea with a dual-encoder transformer model D. Lee & K. Ahn
30. A Bayesian Hierarchical Framework for Postprocessing Daily Streamflow Simulations across a River Network Á. Ossandón et al.
31. How to assess climate change impact models: uncertainty analysis of streamflow statistics via approximate Bayesian computation (ABC) J. Romero-Cuellar & F. Francés
32. A surrogate-aided approach for accelerated Bayesian calibration of hydrologic models R. Arabzadeh et al.
33. An error model for long-range ensemble forecasts of ephemeral rivers J. Bennett et al.
34. A robust approach for calibrating a daily rainfall-runoff model to monthly streamflow data J. Lerat et al.
35. Hybrid Hydrological Forecasting Through a Physical Model and a Weather-Informed Transformer Model: A Case Study in Greek Watershed H. Ampas et al.
36. Exploring the role of the long short‐term memory model in improving multi‐step ahead reservoir inflow forecasting X. Luo et al.
37. An R package to partition observation data used for model development and evaluation to achieve model generalizability Y. Ji et al.
38. Probabilistic prediction of the time to hard freeze using seasonal weather forecasts and survival time methods T. Roksvåg et al.
39. Method for Probabilistic Flood Forecasting Considering Rainfall and Model Parameter Uncertainties X. Jiang et al.