Search for periodicities of the solar irradiance data from the Earth Radiation Budget Satellite (ERBS) using the periodogram method

4Citations
Citations of this article
6Readers
Mendeley users who have this article in their library.

Abstract

We have analyzed the solar irradiance data from the Earth Radiation Budget Satellite (ERBS) during the time period from 1984 October 15 to 2003 October 15. By first filtering the data by Simple Exponential Smoothing, we have applied the periodogram method to the processed data in order to search for its time variation. The study exhibits multi-periodicities on these data around 110, 118, 574 and 740d with very high confidence levels (more than 99%). These periods are significantly similar to the periods of other solar activities which may suggest that solar irradiance may be associated with other solar activities. © 2010 National Astronomical Observatories of Chinese Academy of Sciences and IOP Publishing Ltd.

References Powered by Scopus

The accuracy of extrapolation (time series) methods: Results of a forecasting competition

1109Citations
N/AReaders
Get full text

AVERAGES OF FORECASTS: SOME EMPIRICAL RESULTS.

423Citations
N/AReaders
Get full text

Periodicities in solar flare occurrence: Analysis of cycles 19-23

118Citations
N/AReaders
Get full text

Cited by Powered by Scopus

Complexity in Solar Irradiance From the Earth Radiation Budget Satellite

15Citations
N/AReaders
Get full text

The response of the atmosphere to solar variations

5Citations
N/AReaders
Get full text

Time variation analysis of the daily Forbush decrease indices

5Citations
N/AReaders
Get full text

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

Patra, S. N., Bhattacharya, G., & Ghosh, K. (2010). Search for periodicities of the solar irradiance data from the Earth Radiation Budget Satellite (ERBS) using the periodogram method. Research in Astronomy and Astrophysics, 10(4), 348–354. https://doi.org/10.1088/1674-4527/10/4/005

Readers' Seniority

Tooltip

Lecturer / Post doc 2

50%

PhD / Post grad / Masters / Doc 2

50%

Readers' Discipline

Tooltip

Agricultural and Biological Sciences 1

33%

Computer Science 1

33%

Mathematics 1

33%

Save time finding and organizing research with Mendeley

Sign up for free