23 citations as recorded by crossref.

1. Signature of microphysics on spatial rainfall statistics A. Parodi et al. https://doi.org/10.1029/2010JD015124
2. Effect of radar‐rainfall uncertainties on the spatial characterization of rainfall events P. Mandapaka et al. https://doi.org/10.1029/2009JD013366
3. A Universal Multifractals perspective into the link between rainfall variability and temperature A. Gires & Y. Torres https://doi.org/10.5194/hess-30-4741-2026
4. Influence of small scale rainfall variability on standard comparison tools between radar and rain gauge data A. Gires et al. https://doi.org/10.1016/j.atmosres.2013.11.008
5. Multifractal Analysis of Snowfall Recorded Using a 2D Video Disdrometer T. Raupach et al. https://doi.org/10.1175/JHM-D-16-0224.1
6. A novel approach for absolute radar calibration: formulation and theoretical validation C. Merker et al. https://doi.org/10.5194/amt-8-2521-2015
7. Multifractal Properties of Temporal Rainfall Series in Peninsular Malaysia S. Mariam Saad & N. Ismail https://doi.org/10.1088/1755-1315/616/1/012014
8. Impacts of small scale rainfall variability in urban areas: a case study with 1D and 1D/2D hydrological models in a multifractal framework A. Gires et al. https://doi.org/10.1080/1573062X.2014.923917
9. A large sample investigation of temporal scale-invariance in rainfall over the tropical urban island of Singapore P. Mandapaka & X. Qin https://doi.org/10.1007/s00704-014-1317-6
10. Capability of GPM IMERG Products for Extreme Precipitation Analysis over the Indonesian Maritime Continent R. Ramadhan et al. https://doi.org/10.3390/rs14020412
11. Space‐time variability of the rainfall over the western Mediterranean region: A statistical analysis J. Rysman et al. https://doi.org/10.1002/jgrd.50656
12. A new framework for rainfall downscaling based on EEMD and an improved fractal interpolation algorithm X. Liu et al. https://doi.org/10.1007/s00477-020-01823-y
13. Spatial correlation of hydrometeor occurrence, reflectivity, and rain rate from CloudSat R. Marchand https://doi.org/10.1029/2011JD016678
14. Using the spectral scaling exponent for validation of quantitative precipitation forecasts T. Koh et al. https://doi.org/10.1007/s00703-011-0166-4
15. Multifractal comparison of the outputs of two optical disdrometers A. Gires et al. https://doi.org/10.1080/02626667.2015.1055270
16. Quantifying the impact of small scale unmeasured rainfall variability on urban runoff through multifractal downscaling: A case study A. Gires et al. https://doi.org/10.1016/j.jhydrol.2012.04.005
17. 2DVD Data Revisited: Multifractal Insights into Cuts of the Spatiotemporal Rainfall Process A. Gires et al. https://doi.org/10.1175/JHM-D-14-0127.1
18. Development and analysis of a simple model to represent the zero rainfall in a universal multifractal framework A. Gires et al. https://doi.org/10.5194/npg-20-343-2013
19. Sensitivity of power functions to aggregation: Bias and uncertainty in radar rainfall retrieval M. Sassi et al. https://doi.org/10.1002/2013WR015109
20. Bridging the Scaling Gap: A Review of Nonlinear Paradigms for the Estimation and Understanding of Extreme Rainfall from Heavy Storms K. Cheung https://doi.org/10.3390/fractalfract9120827
21. 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 https://doi.org/10.5194/hess-18-4671-2014
22. Characterisation of the melting layer variability in an Alpine valley based on polarimetric X-band radar scans F. van den Heuvel et al. https://doi.org/10.5194/amt-11-5181-2018
23. Toward an assessment of the hydrological components variability in green infrastructures: Pilot site of the Green Wave (Champs-sur-Marne) P. Versini et al. https://doi.org/10.1051/lhb/2018040