37 citations as recorded by crossref.

1. Multifractal Comparison of Reflectivity and Polarimetric Rainfall Data from C- and X-Band Radars and Respective Hydrological Responses of a Complex Catchment Model I. Paz et al.
2. Spatial random downscaling of rainfall signals in Andean heterogeneous terrain A. Posadas et al.
3. Limit theorems for multifractal products of random fields I. Donhauzer & A. Olenko
4. Two-dimensional Hurst–Kolmogorov process and its application to rainfall fields D. Koutsoyiannis et al.
5. Assessing hydrological impacts of climate change using bias‐corrected downscaled precipitation in Mae Klong basin of Thailand D. Sharma & M. Babel
6. Impact of urban growth-driven landuse change on microclimate and extreme precipitation — A sensitivity study A. Pathirana et al.
7. Impact of horizontal spatial clustering in two-dimensional fracture networks on solute transport M. Akara et al.
8. Spatial Disaggregation of Mean Areal Rainfall Using Gibbs Sampling P. Gagnon et al.
9. Spatial disaggregation of bias-corrected GCM precipitation for improved hydrologic simulation: Ping River Basin, Thailand D. Sharma et al.
10. A stochastic model for high-resolution space-time precipitation simulation A. Paschalis et al.
11. Theoretical framework to estimate spatial rainfall averages conditional on river discharges and point rainfall measurements from a single location: an application to western Greece A. Langousis & V. Kaleris
12. A Gibbs sampling disaggregation model for orographic precipitation P. Gagnon et al.
13. Temporal properties of spatially aggregated meteorological time series H. Hoffmann et al.
14. Stochastic downscaling of precipitation in complex orography: a simple method to reproduce a realistic fine-scale climatology S. Terzago et al.
15. Revisiting the Statistical Scaling of Annual Discharge Maxima at Daily Resolution with Respect to the Basin Size in the Light of Rainfall Climatology A. Perdios & A. Langousis
16. Spatial Downscaling Model Combined with the Geographically Weighted Regression and Multifractal Models for Monthly GPM/IMERG Precipitation in Hubei Province, China X. Sun et al.
17. A stochastic framework for downscaling processes of spatial averages based on the property of spectral multiscaling and its statistical diagnosis on spatio-temporal rainfall fields H. Pavlopoulos
18. Approximated maximum likelihood estimation in multifractal random walks O. Løvsletten & M. Rypdal
19. Multiplicative cascade models for fine spatial downscaling of rainfall: parameterization with rain gauge data D. Rupp et al.
20. Random cascade driven rainfall disaggregation for urban hydrology: An evaluation of six models and a new generator P. Licznar et al.
21. Linkages between Orographic Forcing and the Scaling Properties of Convective Rainfall in Mountainous Regions D. Nykanen
22. Spatial Modeling of Rainfall Patterns over the Ebro River Basin Using Multifractality and Non-Parametric Statistical Techniques J. Valencia et al.
23. The global space–time cascade structure of precipitation: Satellites, gridded gauges and reanalyses S. Lovejoy et al.
24. Precipitation Intensity Trend Detection using Hourly and Daily Observations in Portland, Oregon A. Cooley & H. Chang
25. Evaluation of ensemble‐based distributed hydrologic model response with disaggregated precipitation products B. Forman et al.
26. On temporal stochastic modeling of precipitation, nesting models across scales A. Paschalis et al.
27. Multiplicative random cascade models of multifractal urban structures M. Saeedimoghaddam & T. Stepinski
28. Spatial Downscaling of TRMM Precipitation Product Using a Combined Multifractal and Regression Approach: Demonstration for South China G. Xu et al.
29. A non-stationary stochastic ensemble generator for radar rainfall fields based on the short-space Fourier transform D. Nerini et al.
30. Space–time multifractality of remotely sensed rainfall fields R. Deidda et al.
31. Current awareness
32. Reconstructing the ca. 100-year flood in Northern Thailand R. Kidson et al.
33. Stochastic simulation of reference rainfall scenarios for hydrological applications using a universal multi-fractal approach A. Ramanathan et al.
34. The effect of flow and orography on the spatial distribution of the very short-term predictability of rainfall from composite radar images L. Foresti & A. Seed
35. Study of the improvement of the multifractal spatial downscaling by the random forest regression model considering spatial heterogeneity W. Zhang et al.
36. Current awareness
37. Disaggregating radar-derived rainfall measurements in East Azarbaijan, Iran, using a spatial random-cascade model H. Fouladi Osgouei et al.