23 citations as recorded by crossref.

1. Time-variant snow distribution for use in hydrological models T. Skaugen et al. https://doi.org/10.3189/172756404781815013
2. Stochastic Space–Time Disaggregation of Rainfall into DSD fields M. Schleiss & A. Berne https://doi.org/10.1175/JHM-D-12-013.1
3. Probabilistic disaggregation of a spatial portfolio of exposure for natural hazard risk assessment R. Custer & K. Nishijima https://doi.org/10.1080/17499518.2017.1371761
4. A Comparison of Two Techniques for Generating Nowcasting Ensembles. Part I: Lagrangian Ensemble Technique A. Atencia & I. Zawadzki https://doi.org/10.1175/MWR-D-13-00117.1
5. Spatial interpolation schemes of daily precipitation for hydrologic modeling Y. Hwang et al. https://doi.org/10.1007/s00477-011-0509-1
6. A Latent Gaussian Markov Random-Field Model for Spatiotemporal Rainfall Disaggregation D. Allcroft & C. Glasbey https://doi.org/10.1111/1467-9876.00419
7. Research studies on improvement in real-time estimation of radar-based precipitation in Poland A. Jurczyk et al. https://doi.org/10.1007/s00703-007-0266-3
8. Sensitivity analysis of hydrological models: review and way forward M. Devak & C. Dhanya https://doi.org/10.2166/wcc.2017.149
9. A Gibbs sampling disaggregation model for orographic precipitation P. Gagnon et al. https://doi.org/10.1016/j.jag.2011.11.002
10. Stochastic spatial disaggregation of extreme precipitation to validate a regional climate model and to evaluate climate change impacts over a small watershed P. Gagnon & A. Rousseau https://doi.org/10.5194/hess-18-1695-2014
11. A Comparison of Two Techniques for Generating Nowcasting Ensembles. Part II: Analogs Selection and Comparison of Techniques A. Atencia & I. Zawadzki https://doi.org/10.1175/MWR-D-14-00342.1
12. STEPS: A probabilistic precipitation forecasting scheme which merges an extrapolation nowcast with downscaled NWP N. Bowler et al. https://doi.org/10.1256/qj.04.100
13. Use of autonomous transmission line-type electromagnetic sensors for classification of dry and wet periods at sub-hourly time intervals V. Mikešová et al. https://doi.org/10.1007/s10661-018-7059-7
14. Current Awareness https://doi.org/10.1002/hyp.538
15. Copula-based downscaling of spatial rainfall: a proof of concept M. van den Berg et al. https://doi.org/10.5194/hess-15-1445-2011
16. Spatial Disaggregation of Mean Areal Rainfall Using Gibbs Sampling P. Gagnon et al. https://doi.org/10.1175/JHM-D-11-034.1
17. Modeling the spatial distribution of snow water equivalent, taking into account changes in snow-covered area T. Skaugen & F. Randen https://doi.org/10.3189/2013AoG62A162
18. Non‐stationary modelling framework for rainfall interpolation in complex terrain M. Kumari et al. https://doi.org/10.1002/joc.5057
19. A cluster-optimizing regression-based approach for precipitation spatial downscaling in mountainous terrain H. Guan et al. https://doi.org/10.1016/j.jhydrol.2009.07.007
20. Expanding information for flood frequency analysis using a weather generator: Application in a Spanish Mediterranean catchment C. Beneyto et al. https://doi.org/10.1016/j.ejrh.2024.101826
21. Modelling the spatial variability of snow water equivalent at the catchment scale T. Skaugen https://doi.org/10.5194/hess-11-1543-2007
22. Representing Uncertainty in Continental-Scale Gridded Precipitation Fields for Agrometeorological Modeling A. de Wit et al. https://doi.org/10.1175/2008JHM899.1
23. Fractal interpolation of rain rate time series K. Paulson https://doi.org/10.1029/2004JD004717