Articles | Volume 27, issue 1
https://doi.org/10.5194/npg-27-133-2020
https://doi.org/10.5194/npg-27-133-2020
Research article
 | 
19 Mar 2020
Research article |  | 19 Mar 2020

Approximate multifractal correlation and products of universal multifractal fields, with application to rainfall data

Auguste Gires, Ioulia Tchiguirinskaia, and Daniel Schertzer

Data sets

Data for ``Approximate multifractal correlation and products of universal multifractal fields, with application to rainfall data'' by Auguste Gires, Ioulia Tchiguirinskaia, and Daniel Schertzer, NPG 2020 A. Gires, I. Tchiguirinskaia, and D. Schertzer https://doi.org/10.5281/zenodo.3707904

Download
Short summary
This paper aims to analyse and simulate correlations between two fields in a scale-invariant framework. It starts by theoretically assessing and numerically confirming the behaviour of renormalized multiplicative power law combinations of two fields with known scale-invariant properties. Then a new indicator of correlation is suggested and tested on rainfall data to study the correlation between the common rain rate and drop size distribution features.