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A synergy of linear model and wavelet analysis towards space-time characterization of aerosol optical depth (AOD) during pre-monsoon season (2007–2016) over Indian sub-continent

A synergy of linear model and wavelet analysis towards space-time characterization of aerosol optical depth (AOD) during pre-monsoon season (2007–2016) over Indian sub-continent
A synergy of linear model and wavelet analysis towards space-time characterization of aerosol optical depth (AOD) during pre-monsoon season (2007–2016) over Indian sub-continent

The pre-monsoon aerosol concentration plays a significant role in modifying precipitation amount over the Indian sub-continent. A large variety of aerosol from different sources produces a complex radiative and climate response through the interaction with the hydrometeorological parameters. In this study, we analyzed the space-time dynamics of aerosol optical depth (AOD) in relation to the meteorological and surface parameters over Indian sub-continent during pre-monsoon season from 2007 to 2016. The level-3 daily aerosol products from Moderate Resolution Imaging Spectroradiometer (MODIS) and Multi-angle Imaging Spectroradiometer (MISR) were used. The IMD gridded rainfall and temperature, ECMWF derived RH and wind velocity, and GLADS derived soil moisture data were also used at daily time scale. For the space-time model, the Mann-Kendall trend test and a pixel-based multiple linear regression were used, while, wavelet transformation was used on these daily observations for analyzing periodicities of AOD. The time-series average shows moderate to high AOD (0.4–0.8), including a consistent positive anomaly in the Indo-Gangetic basin (IGP) in north India. A significant inter-annual variation is also observed both in MODIS and MISR datasets. The trend statistics shows an increasing trend of aerosol concentration in the eastern and southern India. The linear regression shows a variable response of AOD with changing magnitude of meteorological factors. However, a substantial spatial coverage of significantly decreased AOD is observed with increasing soil moisture content (β < −0.04). The wavelet analysis manifests the abundances of 32–128 days of cycle with a periodic interjection of 8–32 days of cycle suggesting occurrence of fine and coarse mode aerosols events, respectively. The coherency of time series AOD and other covariates shows varying leading and lagging dynamics in these two principal periodicities. The findings, however, evidenced a notable difference in the space-time patterns of AOD in MODIS and MISR datasets. The analyzed AOD cycles are coincided with the Madden-Julian-Oscillation (MJO) that recurs every 30–60 days interval. The findings also support the theoretical proposition of elevated heat pump theory (EHP) driven by fine mode aerosols for occurring pre-monsoon and monsoon precipitation over the Indian sub-continent. The analyzed periodicity of AOD can provide useful insights in studying the short/long term variability of precipitation over polluted environments during the pre-monsoon season.

AOD, Mann-Kendall test, MISR, MODIS, Wavelet transformation
1364-6826
Barik, Gunadhar
f1ac8509-2f44-4c96-880c-2f79b90adc05
Acharya, Prasenjit
10112fa6-2292-4673-ad17-2888d5e76893
Maiti, Arabinda
fb60d92e-e7ad-4419-bbd2-061651122329
Gayen, Bijoy Krishna
f68ed77e-de89-4cae-bf52-60b918669c34
Bar, Somnath
1e199d14-4020-46ef-9dfa-733fe5fa6082
Sarkar, Ashis
77c1cb6a-da7d-48e5-a43f-c079d664e305
Barik, Gunadhar
f1ac8509-2f44-4c96-880c-2f79b90adc05
Acharya, Prasenjit
10112fa6-2292-4673-ad17-2888d5e76893
Maiti, Arabinda
fb60d92e-e7ad-4419-bbd2-061651122329
Gayen, Bijoy Krishna
f68ed77e-de89-4cae-bf52-60b918669c34
Bar, Somnath
1e199d14-4020-46ef-9dfa-733fe5fa6082
Sarkar, Ashis
77c1cb6a-da7d-48e5-a43f-c079d664e305

Barik, Gunadhar, Acharya, Prasenjit, Maiti, Arabinda, Gayen, Bijoy Krishna, Bar, Somnath and Sarkar, Ashis (2020) A synergy of linear model and wavelet analysis towards space-time characterization of aerosol optical depth (AOD) during pre-monsoon season (2007–2016) over Indian sub-continent. Journal of Atmospheric and Solar-Terrestrial Physics, 211, [105478]. (doi:10.1016/j.jastp.2020.105478).

Record type: Article

Abstract

The pre-monsoon aerosol concentration plays a significant role in modifying precipitation amount over the Indian sub-continent. A large variety of aerosol from different sources produces a complex radiative and climate response through the interaction with the hydrometeorological parameters. In this study, we analyzed the space-time dynamics of aerosol optical depth (AOD) in relation to the meteorological and surface parameters over Indian sub-continent during pre-monsoon season from 2007 to 2016. The level-3 daily aerosol products from Moderate Resolution Imaging Spectroradiometer (MODIS) and Multi-angle Imaging Spectroradiometer (MISR) were used. The IMD gridded rainfall and temperature, ECMWF derived RH and wind velocity, and GLADS derived soil moisture data were also used at daily time scale. For the space-time model, the Mann-Kendall trend test and a pixel-based multiple linear regression were used, while, wavelet transformation was used on these daily observations for analyzing periodicities of AOD. The time-series average shows moderate to high AOD (0.4–0.8), including a consistent positive anomaly in the Indo-Gangetic basin (IGP) in north India. A significant inter-annual variation is also observed both in MODIS and MISR datasets. The trend statistics shows an increasing trend of aerosol concentration in the eastern and southern India. The linear regression shows a variable response of AOD with changing magnitude of meteorological factors. However, a substantial spatial coverage of significantly decreased AOD is observed with increasing soil moisture content (β < −0.04). The wavelet analysis manifests the abundances of 32–128 days of cycle with a periodic interjection of 8–32 days of cycle suggesting occurrence of fine and coarse mode aerosols events, respectively. The coherency of time series AOD and other covariates shows varying leading and lagging dynamics in these two principal periodicities. The findings, however, evidenced a notable difference in the space-time patterns of AOD in MODIS and MISR datasets. The analyzed AOD cycles are coincided with the Madden-Julian-Oscillation (MJO) that recurs every 30–60 days interval. The findings also support the theoretical proposition of elevated heat pump theory (EHP) driven by fine mode aerosols for occurring pre-monsoon and monsoon precipitation over the Indian sub-continent. The analyzed periodicity of AOD can provide useful insights in studying the short/long term variability of precipitation over polluted environments during the pre-monsoon season.

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More information

Published date: 30 October 2020
Additional Information: Funding Information: We would are very much indebted to the Department of Science and Technology (DST), Government of India, for providing funds (SR/FST/SR/FST/ES-I/2017/7/2017) to the Department of Geography for supporting research and teaching activities. We are thankful to the University Grants Commission (UGC) for providing fellowship under the fellowship number 3231(NET-JUNE2015), 3289/(SC)(NET-JAN2017) and 3524/(NET-JULY2018) for supporting this research. We would also like to extend our sincere thanks to the Giovanni online data system, developed and maintained by the NASA GES DISC, the online weather data service by ECMWF and India Meteorological Department (IMD) for providing essential data for the analysis. Funding Information: We would are very much indebted to the Department of Science and Technology (DST) , Government of India, for providing funds ( SR/FST/SR/FST/ES-I/2017/7/2017 ) to the Department of Geography for supporting research and teaching activities. We are thankful to the University Grants Commission (UGC) for providing fellowship under the fellowship number 3231(NET-JUNE2015), 3289/(SC)(NET-JAN2017) and 3524/(NET-JULY2018) for supporting this research. We would also like to extend our sincere thanks to the Giovanni online data system, developed and maintained by the NASA GES DISC, the online weather data service by ECMWF and India Meteorological Department (IMD) for providing essential data for the analysis. Publisher Copyright: © 2020 Elsevier Ltd
Keywords: AOD, Mann-Kendall test, MISR, MODIS, Wavelet transformation

Identifiers

Local EPrints ID: 481108
URI: http://eprints.soton.ac.uk/id/eprint/481108
ISSN: 1364-6826
PURE UUID: d9f3bcf2-57ce-44b5-a877-cbd67d53328f
ORCID for Somnath Bar: ORCID iD orcid.org/0000-0003-1679-6130

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Date deposited: 15 Aug 2023 16:54
Last modified: 18 Mar 2024 04:12

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Contributors

Author: Gunadhar Barik
Author: Prasenjit Acharya
Author: Arabinda Maiti
Author: Bijoy Krishna Gayen
Author: Somnath Bar ORCID iD
Author: Ashis Sarkar

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