23 citations as recorded by crossref.

1. Using meteorological data for reconstruction of annual runoff series over an ungauged area: Empirical orthogonal function approach to Moldova–Southwest Ukraine region N. Loboda et al. https://doi.org/10.1016/j.atmosres.2004.10.020
2. Multi-objective regional modelling K. Engeland et al. https://doi.org/10.1016/j.jhydrol.2005.11.022
3. Long-Term (2015–2024) Daily PM2.5 Estimation in China by Using XGBoost Combining Empirical Orthogonal Function Decomposition J. Jiang et al. https://doi.org/10.3390/rs17091632
4. Interpolation of monthly runoff along rivers applying empirical orthogonal functions: Application to the Upper Magdalena River, Colombia L. Gottschalk et al. https://doi.org/10.1016/j.jhydrol.2015.06.029
5. Spatiotemporal Stochastic Simulation of Monthly Rainfall Patterns in the United Kingdom (1980–87) M. Ekström et al. https://doi.org/10.1175/JCLI4233.1
6. The Spatiotemporal Patterns of the Upper-Tropospheric Water Vapor over the Tibetan Plateau in Summer Based on EOF Analysis X. Xu et al. https://doi.org/10.1175/JCLI-D-21-0720.1
7. Conditioned empirical orthogonal functions for interpolation of runoff time series along rivers: Application to reconstruction of missing monthly records L. Li et al. https://doi.org/10.1016/j.jhydrol.2017.11.014
8. The spatiotemporal patterns of rainfall erosivity in Yunnan Province, southwest China: An analysis of empirical orthogonal functions X. Duan et al. https://doi.org/10.1016/j.gloplacha.2016.07.011
9. Current awareness https://doi.org/10.1002/hyp.439
10. Which spatial discretization for distributed hydrological models? Proposition of a methodology and illustration for medium to large-scale catchments J. Dehotin & I. Braud https://doi.org/10.5194/hess-12-769-2008
11. Towards observation-based gridded runoff estimates for Europe L. Gudmundsson & S. Seneviratne https://doi.org/10.5194/hess-19-2859-2015
12. A spatial time series framework for simulating daily precipitation at regional scales P. Kyriakidis et al. https://doi.org/10.1016/j.jhydrol.2004.04.022
13. Discharge analysis and runoff mapping applied to the evaluation of model performance E. Sauquet & E. Leblois https://doi.org/10.1016/S1464-1909(01)00037-5
14. River flow regimes in a changing climate I. KRASOVSKAIA & L. GOTTSCHALK https://doi.org/10.1080/02626660209492962
15. Optimization of groundwater monitoring networks using multi-criteria decision-making (MCDM) and principle component analysis (PCA) models H. Gholami et al. https://doi.org/10.1007/s12665-026-13001-4
16. Variation of Precipitation and Streamflow in the Upper and Middle Huaihe River Basin, China, from 1959–2009 G. An & Z. Hao https://doi.org/10.2112/SI80-010.1
17. An example of application: The ecological “natural flow regime” paradigm in hydroclimatology A. Assani et al. https://doi.org/10.1016/j.advwatres.2010.02.005
18. Evidence of the impact of urbanization on the hydrological regime of a medium-sized periurban catchment in France I. Braud et al. https://doi.org/10.1016/j.jhydrol.2012.04.049
19. Reference hydrologic networks I. The status and potential future directions of national reference hydrologic networks for detecting trends P. Whitfield et al. https://doi.org/10.1080/02626667.2012.728706
20. Usage des jaugeages volants en régionalisation des débits d’étiage S. Chopart & É. Sauquet https://doi.org/10.7202/018775ar
21. Mapping mean annual river discharges: Geostatistical developments for incorporating river network dependencies E. Sauquet https://doi.org/10.1016/j.jhydrol.2006.05.018
22. Monitoring the spatio-temporal changes of terrestrial water storage using GRACE data in the Tarim River basin between 2002 and 2015 P. Yang et al. https://doi.org/10.1016/j.scitotenv.2017.03.268
23. Analysis and projection of runoff variation in three Chinese rivers L. Li et al. https://doi.org/10.2166/nh.2016.164