14 citations as recorded by crossref.

1. Efficacy of evapotranspiration products on improving streamflow prediction in ungauged catchments under various hydrological models and climates S. Wu et al. https://doi.org/10.1016/j.jhydrol.2026.135857
2. Assessment of left-censored data treatment methods using stochastic simulation F. Silva & É. Pinto https://doi.org/10.1590/2318-0331.282320230087
3. Selecting a conceptual hydrological model using Bayes' factors computed with replica-exchange Hamiltonian Monte Carlo and thermodynamic integration D. Mingo et al. https://doi.org/10.5194/gmd-18-1709-2025
4. High-Resolution Estimation of Soil Saturated Hydraulic Conductivity via Upscaling and Karhunen–Loève Expansion within DREAM(ZS) Y. Xia & N. Li https://doi.org/10.3390/app14114521
5. Explainable PSO-optimised machine learning models for multi-pollutant air quality forecasting in major African cities with transfer learning G. Mazuruse et al. https://doi.org/10.3389/fenvs.2026.1828162
6. Improved representation of soil moisture processes through incorporation of cosmic-ray neutron count measurements in a large-scale hydrologic model E. Fatima et al. https://doi.org/10.5194/hess-28-5419-2024
7. Randomized block quasi-Monte Carlo sampling for generalized likelihood uncertainty estimation C. Onyutha https://doi.org/10.2166/nh.2024.136
8. A multi-hydrological model ensemble prediction uncertainty estimation (e-PRUNE) framework C. Onyutha https://doi.org/10.2166/nh.2025.116
9. Analysis of climatic extremes in the Parnaíba River Basin, Northeast Brazil, using GPM IMERG-V6 products F. Batista et al. https://doi.org/10.1016/j.wace.2024.100646
10. Proposing New Wetland Health and Risk Indicators Using Hydroclimatic Variables and Data-Driven Models for a Coastal Wetland A. Elyasi et al. https://doi.org/10.1007/s12237-025-01647-5
11. Historical memory in remotely sensed soil moisture can enhance flash flood modeling for headwater catchments in Germany Y. Liu et al. https://doi.org/10.1016/j.jhydrol.2024.132395
12. Sensitivity of montane grassland water fluxes to warming and elevated CO2 from local to catchment scale: A case study from the Austrian Alps M. Vremec et al. https://doi.org/10.1016/j.ejrh.2024.101970
13. Comparing hydraulic and water quality constraints in pollutant discharge estimation under data-scarce monitoring: a bayesian case study in the Cikakembang River, Indonesia D. Yudianto & C. Kieswanti https://doi.org/10.1007/s10661-026-15052-3
14. Drought in a warmer, CO 2 -rich climate restricts grassland water use and soil water mixing J. Radolinski et al. https://doi.org/10.1126/science.ado0734