2022
DOI: 10.1016/j.jastp.2022.105943
|View full text |Cite
|
Sign up to set email alerts
|

Relationship between sunspot number and seasonal rainfall over Kerala using wavelet analysis

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

1
6
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
8

Relationship

0
8

Authors

Journals

citations
Cited by 11 publications
(7 citation statements)
references
References 73 publications
1
6
0
Order By: Relevance
“…Thomas et al reported that the periodicity of sunspot numbers and rainfall estimated by Fourier analysis is in agreement with wavelet analysis. The cross-wavelet transform also indicates a distinct 8-12-year correlation between sunspot number and rainfall [73]. In the current study, the rainfall erosivity presents a period of approximately 11 years, indicating that the characteristics of rainfall erosion change in response to the solar magnetic cycle, and a specific relationship exists between solar activities and rainfall erosion.…”
Section: Discussionsupporting
confidence: 52%
“…Thomas et al reported that the periodicity of sunspot numbers and rainfall estimated by Fourier analysis is in agreement with wavelet analysis. The cross-wavelet transform also indicates a distinct 8-12-year correlation between sunspot number and rainfall [73]. In the current study, the rainfall erosivity presents a period of approximately 11 years, indicating that the characteristics of rainfall erosion change in response to the solar magnetic cycle, and a specific relationship exists between solar activities and rainfall erosion.…”
Section: Discussionsupporting
confidence: 52%
“…Wavelet transform is a powerful tool to analyze time-series data collected by a pinpoint in the domain, to study the fluctuations in the frequency domain [42][43][44]. Wavelet analysis is often combined with Fourier analysis [44][45][46][47] to verify the wavelet findings.…”
Section: Wavelet and Fourier Spectral Analysismentioning
confidence: 99%
“…Wavelet analysis is an excellent tool for examining signals with time-varying frequency characteristics. Unlike Fourier analysis [44][45][46][47], the wavelet transform gives a two-dimensional scan of the analyzed signal, while the time coordinate and frequency are independent variables. This representation allows you to explore the properties of signals simultaneously in time and frequency domains.…”
Section: Wavelet and Fourier Spectral Analysismentioning
confidence: 99%
“…The studies by Vinay Kumar et al [16] as well as by Maxim Ogurtsov et al [17] and Potrzeba-Macrina and Zurbenko [18] highlight the future challenges and research directions, emphasizing how regional-scale atmospheric circulation can aid in understanding solarinduced climate variability. Furthermore, Wei Lu et al [19] conducted a study to explore the potential connection between the summer temperature distribution over Eurasian land and solar activity, while Thomas and Abraham [20] focused on investigating the periodicities of rainfall over Kerala, India, and sunspot numbers, and explored the possible associations between these factors.…”
Section: Introductionmentioning
confidence: 99%