Multiscale periodicities in aerosol optical depth over India
S. Ramachandran, Sayantan Ghosh, Amit Verma, Prasanta K. Panigrahi

TL;DR
This study identifies and analyzes multiscale periodicities in aerosol optical depth across India using wavelet transform, revealing seasonal, quasi-biennial, and long-term oscillations with implications for climate modeling.
Contribution
It applies continuous wavelet transform to satellite and ground data to uncover detailed periodicities in aerosol optical depth over India, highlighting phase stability and regional interactions.
Findings
Annual and quasi-biennial oscillations in AOD.
Presence of long-term correlations with 40-month periodicity.
Phase relations indicating regional aerosol interactions.
Abstract
Aerosols exhibit periodic or cyclic variations depending on natural and anthropogenic sources over a region, which can get modulated by synoptic meteorological parameters such as winds, rainfall and relative humidity, and long-range transport. Information on periodicity and phase in aerosol properties assumes significance in prediction as well as to examine the radiative and climate effects of aerosols including its association with changes in cloud properties and rainfall. Periodicity in aerosol optical depth, which is a columnar measure of aerosol distribution, is determined using continuous wavelet transform over 35 locations in India. Continuous wavelet transform is used in the study because it is better suited to extract the periodic and local modulations present at various frequency ranges, as these features are invisible in conventional methods such as Fourier Transform. Monthly…
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