14 citations as recorded by crossref.

1. Comparison of Interpolation, Statistical, and Data-Driven Methods for Imputation of Missing Values in a Distributed Soil Moisture Dataset K. Kornelsen & P. Coulibaly
2. Potential for equation discovery with AI in the climate sciences C. Huntingford et al.
3. Is time a variable like the others in multivariate statistical downscaling and bias correction? Y. Robin & M. Vrac
4. Harmonized evaluation of daily precipitation downscaled using SDSM and WRF+WRFDA models over the Iberian Peninsula S. González-Rojí et al.
5. Genetic Programming for the Downscaling of Extreme Rainfall Events on the East Coast of Peninsular Malaysia S. Pour et al.
6. Extrapolating the Fractal Characteristics of an Image Using Scale-Invariant Multiple-Point Statistics G. Mariethoz et al.
7. Dynamically vs. empirically downscaled medium-range precipitation forecasts G. Bürger
8. Intercomparison of statistical and dynamical downscaling models under the EURO- and MED-CORDEX initiative framework: present climate evaluations P. Vaittinada Ayar et al.
9. Hydrological responses to climate change in Mt. Elgon watersheds J. Musau et al.
10. Early flood warnings from empirical (expanded) downscaling of the full ECMWF Ensemble Prediction System G. Bürger et al.
11. Quantile-Based Downscaling of Precipitation Using Genetic Programming: Application to IDF Curves in Saskatoon E. Hassanzadeh et al.
12. The Statistical DownScaling Model: insights from one decade of application R. Wilby & C. Dawson
13. Application of multi-scale wavelet entropy and multi-resolution Volterra models for climatic downscaling V. Sehgal et al.
14. An Artificial Intelligence-Driven Precipitation Downscaling Method Using Spatiotemporally Coupled Multi-Source Data C. Li et al.