10 citations as recorded by crossref.

1. On using nonparametric approaches for precipitation estimation M. Grządziel et al. https://doi.org/10.1051/itmconf/20182300013
2. A stochastic weather generator based framework for generating ensemble sub-monthly precipitation for streamflow prediction L. Yang et al. https://doi.org/10.1016/j.ejrh.2025.102186
3. An Event-Based Stochastic Parametric Rainfall Simulator (ESPRS) for Urban Stormwater Simulation and Performance in a Sponge City Y. Yang et al. https://doi.org/10.3390/w15081561
4. The use of personal weather station observations to improve precipitation estimation and interpolation A. Bárdossy et al. https://doi.org/10.5194/hess-25-583-2021
5. Estimating Maximum Daily Precipitation in the Upper Vistula Basin, Poland D. Młyński et al. https://doi.org/10.3390/atmos10020043
6. Bias correction of daily precipitation for ungauged locations using geostatistical approaches: A case study for the CORDEX‐Africa ensemble M. Lorenz et al. https://doi.org/10.1002/joc.7649
7. KDE-Based Rainfall Event Separation and Characterization S. Cao et al. https://doi.org/10.3390/w15030580
8. Geostatistical interpolation by quantile kriging H. Lebrenz & A. Bárdossy https://doi.org/10.5194/hess-23-1633-2019
9. Gridded daily precipitation data for Iran: A comparison of different methods A. Bárdossy et al. https://doi.org/10.1016/j.ejrh.2021.100958
10. Non-parametric kernel-based estimation and simulation of precipitation amount A. Pavlides et al. https://doi.org/10.1016/j.jhydrol.2022.127988