14 citations as recorded by crossref.

1. A space and time model for design storm rainfall https://doi.org/10.1029/1999JD900767
2. A multiplicative broken‐line model for time series of mean areal rainfall A. Seed et al. https://doi.org/10.1029/2000WR900117
3. Scale invariance analysis of channel network width function and possible implications for flood behaviour B. RICHARDS-PECOU https://doi.org/10.1080/02626660209492942
4. Linking space–time variability of river runoff and rainfall fields: a dynamic approach M. Menabde & M. Sivapalan https://doi.org/10.1016/S0309-1708(01)00038-0
5. Comparison of the Scaling Characteristics of Rainfall Derived from Space-Based and Ground-Based Radar Observations M. Gebremichael et al. https://doi.org/10.1175/JHM549.1
6. New asymptotic and preasymptotic results on rainfall maxima from multifractal theory D. Veneziano et al. https://doi.org/10.1029/2009WR008257
7. Modeling of rainfall time series using two‐state renewal processes and multifractals F. Schmitt et al. https://doi.org/10.1029/98JD02071
8. Scale‐recursive estimation for multisensor Quantitative Precipitation Forecast verification: A preliminary assessment B. Tustison et al. https://doi.org/10.1029/2001JD001073
9. Modeling of rainfall time series and extremes using bounded random cascades and levy‐stable distributions M. Menabde & M. Sivapalan https://doi.org/10.1029/2000WR900197
10. The use of scale recursive estimation for short term quantitative precipitation forecast D. Bocchiola & R. Rosso https://doi.org/10.1016/j.pce.2006.03.019
11. Scaling of tropical rainfall as observed by TRMM precipitation radar M. Gebremichael et al. https://doi.org/10.1016/j.atmosres.2007.11.028
12. A quest for precipitation attractors in weather radar archives L. Foresti et al. https://doi.org/10.5194/npg-31-259-2024
13. A methodology for merging multisensor precipitation estimates based on expectation‐maximization and scale‐recursive estimation R. Gupta et al. https://doi.org/10.1029/2004JD005568
14. A Dynamic and Spatial Scaling Approach to Advection Forecasting A. Seed https://doi.org/10.1175/1520-0450(2003)042<0381:ADASSA>2.0.CO;2