2009
DOI: 10.1175/2008jhm975.1
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The Droplike Nature of Rain and Its Invariant Statistical Properties

Abstract: This study looks for statistically invariant properties of the sequences of inter-drop time intervals and drop diameters. The authors provide evidence that these invariant properties have the following characteristics: 1) large inter-drop time intervals (*10 s) separate drops of small diameter (&0.6 mm); 2) the rainfall phenomenon has two phases: a quiescent phase, whose contribution to the total cumulated flux is virtually null, and an active, nonquiescent, phase that is responsible for the bulk of the precip… Show more

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Cited by 24 publications
(34 citation statements)
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“…A novel renormalization procedure has been introduced recently by Ignaccolo et al (2009). The renormalized spectra have shown (Ignaccolo and De Michele, 2010) to posses the following properties.…”
Section: Introductionmentioning
confidence: 99%
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“…A novel renormalization procedure has been introduced recently by Ignaccolo et al (2009). The renormalized spectra have shown (Ignaccolo and De Michele, 2010) to posses the following properties.…”
Section: Introductionmentioning
confidence: 99%
“…Are these results just due to "averaging" or they reflect an intrinsic dynamical property of rainfall? If the instantaneous renormalized spectra are all equal (strong equality → existence of a universal distribution) the invariance of "averaged" renormalized spectra (Ignaccolo et al, 2009) and (Ignaccolo and De Michele, 2010) is a trivial consequence of the existence of a "universal" distribution. If the instantaneous renormalized spectra manifest a high degree of variability not reducible to a definite criterion (weak/no equality) the invariant properties reported in Ignaccolo et al (2009) and Ignaccolo and De Michele (2010) are merely an accident.…”
Section: Introductionmentioning
confidence: 99%
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“…This renormalization, originally introduced in (Ignaccolo et al, 2009;Ignaccolo and De Michele, 2010), operates differently from the other renormalizations available in Literature, e.g. (Willis, 1984;Sempere Torres et al, 1994;Maki et al, 2001;Testud et al, 2001;Uijlenhoet et al, 2003;Campos et al, 2006;Hazenberg et al, 2011).…”
Section: Methodsmentioning
confidence: 99%
“…This kind of instrument has been proved crucial for several aspects of hydrological science. Thus, disdrometers have been employed to analyze the microstructure of rain events (Jameson et al 2016;Ignaccolo et al 2009), including its spatiotemporal structure in 3D (Gires et al 2015); characterize the PSD in flood events (Friedrich et al 2016); delineate flood areas (Beauchamp et al 2015); assist radars to estimate the spatial correlation of the PSD (Bringi et al 2015;Thurai et al 2012); develop new algorithms (Anagnostou et al 2013); verify quantitative precipitation estimates from weather radars (Bringi et al 2011;Gourley et al 2009); perform hydrological validation of nowcastings (Berenguer et al 2005); study radio signal propagation (Montopoli et al 2008;Watson and Hodges 2009); and carry out error analysis at catchment scale (Jordan et al 2003).…”
Section: Introductionmentioning
confidence: 99%