47 citations as recorded by crossref.

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4. The future is in the past? A flexible resampling approach to generate multivariate time series P. Rivoire et al. https://doi.org/10.1088/1748-9326/ae51af
5. Long-term spatiotemporal variability in occurrences of wet and dry days across South Mongolian Plateau Y. Wang et al. https://doi.org/10.1016/j.atmosres.2021.105795
6. Relating forecast and satellite precipitation to generate future skillful ensemble forecasts over the northwest Himalayas at major avalanche and glacier sites A. Singhal et al. https://doi.org/10.1016/j.jhydrol.2022.128795
7. Regional sub-daily stochastic weather generator based on reanalyses for surface water stress estimation in central Tunisia N. Farhani et al. https://doi.org/10.1016/j.envsoft.2022.105448
8. Quantification of Uncertainty Associated with Evidence Layers in Mineral Prospectivity Mapping Using Direct Sampling and Convolutional Neural Network F. Yang et al. https://doi.org/10.1007/s11053-022-10144-6
9. Multiple-point geostatistics-based spatial downscaling of heavy rainfall fields W. Zou et al. https://doi.org/10.1016/j.jhydrol.2024.130899
10. Enduring effect of permeability texture for enhancing accuracy and reducing uncertainty of reservoir fluid flow through porous media A. Azamifard et al. https://doi.org/10.1007/s12182-019-00366-4
11. Pilot Point Optimization of Mining Boundaries for Lateritic Metal Deposits: Finding the Trade-off Between Dilution and Ore Loss Y. Dagasan et al. https://doi.org/10.1007/s11053-018-9380-9
12. Stochastic modeling of gridded short-term rainstorms S. Wu et al. https://doi.org/10.2166/nh.2021.002
13. Multiple-point statistics using multi-resolution images J. Straubhaar et al. https://doi.org/10.1007/s00477-020-01770-8
14. Automatic Parameter Tuning of Multiple-Point Statistical Simulations for Lateritic Bauxite Deposits Y. Dagasan et al. https://doi.org/10.3390/min8050220
15. Downscaling Multispectral Satellite Images Without Colocated High-Resolution Data: A Stochastic Approach Based on Training Images F. Oriani et al. https://doi.org/10.1109/TGRS.2020.3008015
16. Integrating multiple scales of hydraulic conductivity measurements in training image-based stochastic models K. Mahmud et al. https://doi.org/10.1002/2014WR016150
17. An application of multiple‐point statistics downscaling approach over North‐West Himalayas in avalanche‐prone areas A. Singhal & S. Jha https://doi.org/10.1002/joc.7342
18. Missing Data Imputation for Multisite Rainfall Networks: A Comparison between Geostatistical Interpolation and Pattern-Based Estimation on Different Terrain Types F. Oriani et al. https://doi.org/10.1175/JHM-D-19-0220.1
19. Stochastic generation of daily precipitation considering diverse model complexity and climates Z. Li & X. Shi https://doi.org/10.1007/s00704-018-2638-7
20. CHDS: conflict handling in direct sampling for stochastic simulation of spatial variables H. Soltan Mohammadi et al. https://doi.org/10.1007/s00477-020-01801-4
21. Reconstruction of Missing GPR Data Using Multiple-Point Statistical Simulation C. Zhang et al. https://doi.org/10.1109/TGRS.2024.3353482
22. Generating synthetic rainfall with geostatistical simulations L. Benoit & G. Mariethoz https://doi.org/10.1002/wat2.1199
23. Improving radar rainfall estimation by merging point rainfall measurements within a model combination framework M. Hasan et al. https://doi.org/10.1016/j.advwatres.2016.09.011
24. Locality-based 3-D multiple-point statistics reconstruction using 2-D geological cross sections Q. Chen et al. https://doi.org/10.5194/hess-22-6547-2018
25. Simulating rainfall time-series: how to account for statistical variability at multiple scales? F. Oriani et al. https://doi.org/10.1007/s00477-017-1414-z
26. Simulating precipitation in the Northeast United States using a climate‐informed K‐nearest neighbour algorithm S. Armal et al. https://doi.org/10.1002/hyp.13853
27. On the role of patterns in understanding the functioning of soil-vegetation-atmosphere systems H. Vereecken et al. https://doi.org/10.1016/j.jhydrol.2016.08.053
28. Improvements and Applications in Climate Data Analysis for Determining Reference Rainfall Years C. Albright & H. Schramm https://doi.org/10.1175/JAMC-D-17-0267.1
29. Direct Sampling for Spatially Variable Extreme Event Generation in Resampling‐Based Stochastic Weather Generators J. Guevara et al. https://doi.org/10.1029/2022MS003542
30. A space and time scale‐dependent nonlinear geostatistical approach for downscaling daily precipitation and temperature S. Jha et al. https://doi.org/10.1002/2014WR016729
31. 3D Geological Image Synthesis From 2D Examples Using Generative Adversarial Networks G. Coiffier et al. https://doi.org/10.3389/frwa.2020.560598
32. Investigating extreme scenarios with multiple-point geostatistics and variance maximization M. Abdollahifard et al. https://doi.org/10.1007/s00477-019-01759-y
33. Missing data simulation inside flow rate time-series using multiple-point statistics F. Oriani et al. https://doi.org/10.1016/j.envsoft.2016.10.002
34. Nonstationary stochastic rain type generation: accounting for climate drivers L. Benoit et al. https://doi.org/10.5194/hess-24-2841-2020
35. Reconstruction of High-Resolution 3D GPR Data from 2D Profiles: A Multiple-Point Statistical Approach C. Zhang et al. https://doi.org/10.3390/rs16122084
36. Structural Analysis of the Rainy Season Through Gaussian Approximation B. Ziv et al. https://doi.org/10.1002/joc.70378
37. Simulating Small‐Scale Rainfall Fields Conditioned by Weather State and Elevation: A Data‐Driven Approach Based on Rainfall Radar Images F. Oriani et al. https://doi.org/10.1002/2017WR020876
38. Performance evaluation of satellite-based rainfall products on hydrological modeling for a transboundary catchment in northwest Africa E. Guermazi et al. https://doi.org/10.1007/s00704-019-02928-3
39. Mapping high-resolution basal topography of West Antarctica from radar data using non-stationary multiple-point geostatistics (MPS-BedMappingV1) Z. Yin et al. https://doi.org/10.5194/gmd-15-1477-2022
40. Conditional multiple-point geostatistical simulation for unevenly distributed sample data Q. Chen et al. https://doi.org/10.1007/s00477-019-01671-5
41. Semantic rule-guided three-dimensional reservoir modeling method using an improved multiple-point geostatistics simulation Q. Chen et al. https://doi.org/10.3389/feart.2026.1766398
42. Feature-preserving interpolation and filtering of environmental time series G. Mariethoz et al. https://doi.org/10.1016/j.envsoft.2015.07.001
43. Ice volume and basal topography estimation using geostatistical methods and ground-penetrating radar measurements: application to the Tsanfleuron and Scex Rouge glaciers, Swiss Alps A. Neven et al. https://doi.org/10.5194/tc-15-5169-2021
44. Exploring denoising diffusion probabilistic model for daily streamflow gap filling in Central Asia typical watersheds G. He et al. https://doi.org/10.1016/j.ejrh.2024.101701
45. A non-stationary trans-Gaussian model for daily rainfall over complex topography L. Benoit et al. https://doi.org/10.5194/hess-30-4799-2026
46. Gap-filling of daily streamflow time series using Direct Sampling in various hydroclimatic settings M. Dembélé et al. https://doi.org/10.1016/j.jhydrol.2018.11.076
47. A review of geostatistical simulation models applied to satellite remote sensing: Methods and applications F. Zakeri & G. Mariethoz https://doi.org/10.1016/j.rse.2021.112381