Criticality on rainfall: Statistical observational constraints for the onset of strong convection modelling

Anna Deluca; Álvaro Corral; Nicholas R. Moloney

doi:10.1007/978-3-319-08138-0-2

Criticality on rainfall: Statistical observational constraints for the onset of strong convection modelling

Anna Deluca, Álvaro Corral, Nicholas R. Moloney

Research output: Chapter in Book › Chapter › Research › peer-review

Abstract

© 2014 Springer International Publishing Switzerland. A better understanding of convection is crucial for reducing the intrinsic errors present in climate models [4]. Many atmospheric processes related to precipitation have large scale correlations in time and space, which are the result of the coupling between several non-linear mechanisms with different temporal and spatial characteristic scales. Despite the diversity of individual rain events, a recent array of statistical measures presents surprising statistical regularities giving support to the hypothesis that atmospheric convection and precipitation may be a real-world example of Self-Organised Criticality (SOC) [2, 16].

Original language	English
Title of host publication	Trends in Mathematics
Pages	9-12
Number of pages	3
Volume	2
ISBN (Electronic)	2297-024X
DOIs	https://doi.org/10.1007/978-3-319-08138-0-2
Publication status	Published - 1 Jan 2014

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abstract = "{\textcopyright} 2014 Springer International Publishing Switzerland. A better understanding of convection is crucial for reducing the intrinsic errors present in climate models [4]. Many atmospheric processes related to precipitation have large scale correlations in time and space, which are the result of the coupling between several non-linear mechanisms with different temporal and spatial characteristic scales. Despite the diversity of individual rain events, a recent array of statistical measures presents surprising statistical regularities giving support to the hypothesis that atmospheric convection and precipitation may be a real-world example of Self-Organised Criticality (SOC) [2, 16].",

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N2 - © 2014 Springer International Publishing Switzerland. A better understanding of convection is crucial for reducing the intrinsic errors present in climate models [4]. Many atmospheric processes related to precipitation have large scale correlations in time and space, which are the result of the coupling between several non-linear mechanisms with different temporal and spatial characteristic scales. Despite the diversity of individual rain events, a recent array of statistical measures presents surprising statistical regularities giving support to the hypothesis that atmospheric convection and precipitation may be a real-world example of Self-Organised Criticality (SOC) [2, 16].

AB - © 2014 Springer International Publishing Switzerland. A better understanding of convection is crucial for reducing the intrinsic errors present in climate models [4]. Many atmospheric processes related to precipitation have large scale correlations in time and space, which are the result of the coupling between several non-linear mechanisms with different temporal and spatial characteristic scales. Despite the diversity of individual rain events, a recent array of statistical measures presents surprising statistical regularities giving support to the hypothesis that atmospheric convection and precipitation may be a real-world example of Self-Organised Criticality (SOC) [2, 16].

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