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

Viewed

Total article views: 2,258 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,548 644 66 2,258 67 61
  • HTML: 1,548
  • PDF: 644
  • XML: 66
  • Total: 2,258
  • BibTeX: 67
  • EndNote: 61
Views and downloads (calculated since 29 Jul 2019)
Cumulative views and downloads (calculated since 29 Jul 2019)

Viewed (geographical distribution)

Total article views: 2,258 (including HTML, PDF, and XML) Thereof 1,770 with geography defined and 488 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 23 Apr 2024
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.