Cited by 96Complex Systems and Time Series AnalysisPrecipitation Measurement and AnalysisStatistical Mechanics and Entropy

Universality of rain event size distributions

Open access
Peters, Ole, Deluca, A, Corral, A, Neelin, J D, Holloway, C E·2010·Journal of Statistical Mechanics: Theory and Experiment

Abstract

We compare rain event size distributions derived from measurements in climatically different regions, which we find to be well approximated by power laws of similar exponents over broad ranges. Differences can be seen in the large-scale cutoffs of the distributions. Event duration distributions suggest that the scale-free aspects are related to the absence of characteristic scales in the meteorological mesoscale.

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Crossref · 10.1088/1742-5468/2010/11/p11030

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  • Observed distributions of event depths exhibit a power law range.

    “observed distributions of event depths exhibit a power law range [68, 81]”

    From Precipitation Extremes Under Climate Change (2015) · cites this paper as [68]

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Research works printed but not linked: 4

  1. [8][8] Arakawa A and Schubert W H. Interaction of a cumulus cloud ensemble with large-scale environment. J. Atmos. Sci. , 31(3):674-701, 1974. -
  2. [20][20] Press W H, Teukolsky S A, Vetterling W T, and Flannery B P. Numerical Recipes . Cambridge University Press, Cambridge, 3rd edition, 2002. -
  3. [25][25] Cahalan R F and Joseph J H. Fractal statistics of cloud fields. Mon. Wea. Rev. , 117(2):261-272, 1989. -
  4. [29][29] Neggers R A J, Jonker H J J, and Siebesma A P. Size statistics of cumulus cloud populations in large-eddy simulations. J. Atmos. Sci. , 60(8):1060-1074, 2003.

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Authors
Peters, O., Deluca, A., Corral, A., Neelin, J. D., & Holloway, C. E.
Affiliations
  • University of California, Los Angeles (US)
  • Centre de Recerca Matemàtica (ES)
  • University of Reading (GB)
Venue
Journal of Statistical Mechanics: Theory and Experiment
Published
2010-11-19
Volume
2010
Issue
11
Pages
P11030
ISSN
1742-5468 (ISSN-L)
OpenAlex
W2060774441
Cited by
96
References
30
Citations by year
2026: 3 · 2025: 4 · 2023: 3 · 2022: 8 · 2021: 6 · 2020: 9 · 2019: 7 · 2018: 3 · 2017: 9 · 2016: 6 · 2015: 8 · 2014: 12 · 2013: 3 · 2012: 11
FWCI
12.02
Type
journal article
Language
en
Open access
Locations
  • Journal of Statistical Mechanics Theory and Experiment (publishedVersion)
  • CentAUR (University of Reading) (acceptedVersion)
  • arXiv (Cornell University) (submittedVersion)
  • Dipòsit Digital de Documents de la UAB (Universitat Autònoma de Barcelona) (submittedVersion, cc-by-nc-nd)
  • LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) (submittedVersion, cc-by-nc-nd)
  • RECERCAT (Consorci de Serveis Universitaris de Catalunya) (submittedVersion, cc-by-nc-nd)
  • arXiv (Cornell University)
Funders
  • National Science Foundation (0645200)
  • Imperial College London
  • Directorate for Biological Sciences
  • National Oceanic and Atmospheric Administration (NA08OAR4310882)
  • Natural Environment Research Council (ncas10009)
  • Biological and Environmental Research
Topics
  • Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Complex Systems and Time Series Analysis
  • Physical Sciences › Earth and Planetary Sciences › Atmospheric Science › Precipitation Measurement and Analysis
  • Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Statistical Mechanics and Entropy
Keywords
power law, universality, scale-free distribution, mesoscale, climate zones, precipitation statistics

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