Space and Level Dependence in Random Multiplicative Cascades

1998 ◽  
pp. 203-206
Author(s):  
M. Blank
Keyword(s):  
Multiplicative Cascades

scholarly journals Diffusions of multiplicative cascades

2014 ◽  
Vol 124 (2) ◽  
pp. 1141-1169
Author(s):  
Tom Alberts ◽  
Ben Rifkind
Keyword(s):  
Multiplicative Cascades

Multiplicative cascades and seismicity in natural time

2009 ◽  
Vol 80 (2) ◽  
Author(s):  
N. V. Sarlis ◽  
E. S. Skordas ◽  
P. A. Varotsos
Keyword(s):  
Multiplicative Cascades ◽  
Natural Time

scholarly journals Time scale and intensity dependency in multiplicative cascades for temporal rainfall disaggregation

2009 ◽  
Vol 45 (7) ◽  
Author(s):  
David E. Rupp ◽  
Richard F. Keim ◽  
Mina Ossiander ◽  
Marcela Brugnach ◽  
John S. Selker
Keyword(s):  
Time Scale ◽  
Multiplicative Cascades

scholarly journals Reconstruction of sub-daily rainfall sequences using multinomial multiplicative cascades

2010 ◽  
Vol 7 (4) ◽  
pp. 5267-5297 ◽  
Author(s):  
L. Wang ◽  
C. Onof ◽  
C. Maksimovic
Keyword(s):  
Daily Rainfall ◽  
Cascade Process ◽  
Short Term ◽  
Multiplicative Cascades ◽  
Hourly Rainfall ◽  
Cascade Method ◽  
Multiplicative Cascade

Abstract. This work aims to develop a semi-deterministic multiplicative cascade method for producing reliable short-term (sub-daily) rainfall sequences. The scaling feature of sub-daily rainfall sequences is analysed over the timescales of interest (i.e., 5 min to hourly in this research) to help derive the crucial parameters, i.e., the fragmentation ratios, for the proposed method. These derived ratios are then further used to stochastically disaggregate hourly rainfall sequences to 5-min using the multiplicative cascade process. The log-Poisson distributed cascade method is involved in this work to validate the proposed methodology by comparing certain statistics of the generated rainfall sequences over a specific range of timescales. The results demonstrate that the proposed methodology in general has the ability to reproduce the patterns of sub-daily rainfall observations from Greenwich raingauge station in London.

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