Bivariate EMD-Based Data Adaptive Approach to the Analysis of Climate Variability
Joint Authors
Molla, Md. Khademul Islam
Hirose, Keikichi
Ghosh, Poly Rani
Source
Discrete Dynamics in Nature and Society
Issue
Vol. 2011, Issue 2011 (31 Dec. 2011), pp.1-21, 21 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2011-07-25
Country of Publication
Egypt
No. of Pages
21
Main Subjects
Abstract EN
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 collected from a specific area of Bihar in India.
Fractional Gaussian noise (fGn) is used here as the reference signal.
The climate signal and fGn (of same length) are combined to produce bivariate (complex) signal which is decomposed using BEMD into a finite number of sub-band signals named intrinsic mode functions (IMFs).
Both of climate signal as well as fGn are decomposed together into IMFs.
The instantaneous frequencies and Fourier spectrum of IMFs are observed to illustrate the property of BEMD.
The lowest frequency oscillation of climate signal represents the annual cycle (AC) which is an important factor in analyzing climate change and variability.
The energies of the fGn's IMFs are used to define the data adaptive threshold to separate AC.
The IMFs of climate signal with energy exceeding such threshold are summed up to separate the AC.
The interannual distance of climate signal is also illustrated for better understanding of climate change and variability.
American Psychological Association (APA)
Molla, Md. Khademul Islam& Ghosh, Poly Rani& Hirose, Keikichi. 2011. Bivariate EMD-Based Data Adaptive Approach to the Analysis of Climate Variability. Discrete Dynamics in Nature and Society،Vol. 2011, no. 2011, pp.1-21.
https://search.emarefa.net/detail/BIM-509444
Modern Language Association (MLA)
Molla, Md. Khademul Islam…[et al.]. Bivariate EMD-Based Data Adaptive Approach to the Analysis of Climate Variability. Discrete Dynamics in Nature and Society No. 2011 (2011), pp.1-21.
https://search.emarefa.net/detail/BIM-509444
American Medical Association (AMA)
Molla, Md. Khademul Islam& Ghosh, Poly Rani& Hirose, Keikichi. Bivariate EMD-Based Data Adaptive Approach to the Analysis of Climate Variability. Discrete Dynamics in Nature and Society. 2011. Vol. 2011, no. 2011, pp.1-21.
https://search.emarefa.net/detail/BIM-509444
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-509444