Bivariate EMD-Based Data Adaptive Approach to the Analysis of Climate Variability
This paper presents a data adaptive approach for the analysis of climate variability using bivariate empirical mode decomposition (BEMD). The time series of climate factors: daily evaporation, maximum and minimum temperatures are taken into consideration in variability analysis. All climate data are...
Saved in:
Main Authors: | Md. Khademul Islam Molla, Poly Rani Ghosh, Keikichi Hirose |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2011-01-01
|
Series: | Discrete Dynamics in Nature and Society |
Online Access: | http://dx.doi.org/10.1155/2011/935034 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Empirical mode decomposition analysis of climate changes with special reference to rainfall data
by: Md. Khademul Islam Molla, et al.
Published: (2006-01-01) -
Structural Analysis of Lunar Regolith from LPR CH-2 Data Based on Adaptive f-x E MD: LPR Data Processed by Adaptive f-x EMD
by: Bin Hu, et al.
Published: (2019-01-01) -
The Lomax-Claim Model: Bivariate Extension and Applications to Financial Data
by: Jin Zhao, et al.
Published: (2021-01-01) -
A New Approach to General Interpolation Formulae for Bivariate Interpolation
by: Le Zou, et al.
Published: (2014-01-01) -
A bivariate multifractal analysis approach to understanding socio-spatial segregation dynamics
by: Janka Lengyel, et al.
Published: (2025-02-01)