15 citations as recorded by crossref.

1. A Correlation-Based Joint CFAR Detector Using Adaptively-Truncated Statistics in SAR Imagery J. Ai et al. https://doi.org/10.3390/s17040686
2. Spatial and Temporal Network Sampling Effects on the Correlation and Variance Structures of Rain Observations A. Jameson https://doi.org/10.1175/JHM-D-16-0129.1
3. A variance-upscaling quantile mapping method for gridded precipitation bias correction J. Ma et al. https://doi.org/10.1016/j.jhydrol.2024.130959
4. Comparison of Gridded Precipitation Time Series Data in APHRODITE and Asfazari Databases within Iran’s Territory E. Nasrabadi et al. https://doi.org/10.4236/acs.2013.32025
5. Impact-based temporal clustering of multiple meteorological hazard types in southwestern Germany K. Küpfer et al. https://doi.org/10.5194/nhess-25-2885-2025
6. Combining meteorological radar and network of rain gauges data for space–time model development V. Pastoriza et al. https://doi.org/10.1002/sat.954
7. Diagnostics for tail dependence in time-lagged random fields of precipitation A. Burauskaite-Harju & A. Grimvall https://doi.org/10.1007/s00704-012-0748-1
8. An experiment to measure the spatial variability of rain drop size distribution using sixteen laser disdrometers F. Tapiador et al. https://doi.org/10.1029/2010GL044120
9. Spatial correlation structure of monthly rainfall at a mesoscale region of north-eastern Bohemia V. Svoboda et al. https://doi.org/10.1007/s00704-014-1241-9
10. Statistical assessment and hydrological utility of the latest multi-satellite precipitation analysis IMERG in Ganjiang River basin N. Li et al. https://doi.org/10.1016/j.atmosres.2016.07.020
11. A New CFAR Ship Detection Algorithm Based on 2-D Joint Log-Normal Distribution in SAR Images J. Ai et al. https://doi.org/10.1109/LGRS.2010.2048697
12. Benefit of convection permitting climate model simulations in the representation of convective precipitation G. Fosser et al. https://doi.org/10.1007/s00382-014-2242-1
13. An evaluation framework for identifying the optimal raingauge network based on spatiotemporal variation in quantitative precipitation estimation C. Chang et al. https://doi.org/10.2166/nh.2016.169
14. Calibration of the reflectivity-rainfall rate (Z-R) relationship using long-term radar reflectivity factor over the entire South Korea region in a Bayesian perspective T. Kim et al. https://doi.org/10.1016/j.jhydrol.2020.125790
15. Characterising and visualizing spatio-temporal patterns in hourly precipitation records A. Burauskaite-Harju et al. https://doi.org/10.1007/s00704-011-0574-x