Effect of some climatic parameters on tropospheric and total ozone column over Alipore (22.52 ∘ N, 88.33 ∘ E), India

Jana, Pritam Kumar; Bhattacharyya, Santanu; Banerjee, Antara

doi:10.1007/s12040-014-0490-4

Cited by 5 publications

(1 citation statement)

References 56 publications

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“…Because ozone in the stratosphere can protect any organisms on the earth's surface from harmful solar ultraviolet medium-(UVB) and shortwave (UVC) radiation, but in the troposphere, it is a strong greenhouse gas. Although the concentration of ozone in the troposphere is lower than that in the stratosphere, it is an important source of hydroxyl radicals, which are powerful oxidants that can break down various pollutants and easily react with other chemicals to produce toxic oxides and other greenhouse gases; thus, increases in ozone at these altitudes can lead to climate change [3,4]. Especially since the discovery of the Antarctic ozone hole in the mid-1980s, the importance of ozone in the atmosphere has been known to the public, and the hole in the ozone layer directly threatens the survival of human beings on Earth [5].…”

Section: Introductionmentioning

confidence: 99%

Study of Time-Frequency Domain Characteristics of the Total Column Ozone in China Based on Wavelet Analysis

et al. 2023

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Ozone is a very important trace gas in the atmosphere, it is like a “double-edged sword”. Because the ozone in the stratosphere can effectively help the earth’s organisms to avoid the sun’s ultraviolet radiation damage, the ozone near the ground causes pollution. Therefore, it is essential to explore the time-frequency domain variation characteristics of total column ozone and have a better understanding of its cyclic variation. In this paper, based on the monthly scale dataset of total column ozone (TCO) (September 2002 to February 2023) from Atmospheric Infrared Sounder (AIRS) carried by NASA’s Aqua satellite, linear regression, coefficient of variation, Mann-Kendall (M-K) mutation tests, wavelet analysis, and empirical orthogonal function decomposition (EOF) analysis were used to analyze the variation characteristics of the TCO in China from the perspectives of time domain, frequency domain, and spatial characteristics. Finally, this study predicted the future of TCO data based on the seasonal autoregressive integrated moving average (SARIMA) model in the time series algorithm. The results showed the following: (1) From 2003 to 2022, the TCO in China showed a slight downward trend, with an average annual change rate of −0.29 DU/a; the coefficient of variation analysis found that TCO had the smallest intra-year fluctuations in 2008 and the largest intra-year fluctuations in 2005. (2) Using the M-K mutation test, it was found that there was a mutation point in the total amount of column ozone in 2016. (3) Using wavelet analysis to analyze the frequency domain characteristics of the TCO, it was observed that TCO variation in China had a combination of 14-year, 6-year, and 4-year main cycles, where 14 years is the first main cycle with a 10-year cycle and 6 years is the second main cycle with a 4-year cycle. (4) The spatial distribution characteristics of the TCO in China were significantly different in each region, showing a distribution characteristic of being high in the northeast and low in the southwest. (5) Based on the EOF analysis of the TCO in China, it was found that the variance contribution rate of the first mode was as high as 52.85%, and its spatial distribution of eigenvectors showed a “-” distribution. Combined with the trend analysis of the time coefficient, this showed that the TCO in China has declined in the past 20 years. (6) The SARIMA model with the best parameters of (1, 1, 2) × (0, 1, 2, 12) based on the training on the TCO data was used for prediction, and the final model error rate was calculated as 1.34% using the mean absolute percentage error (MAPE) index, indicating a good model fit.

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Section: Introductionmentioning

confidence: 99%

Study of Time-Frequency Domain Characteristics of the Total Column Ozone in China Based on Wavelet Analysis

et al. 2023

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Spectral analysis approach to study the association between total ozone concentration and surface temperature

Chattopadhyay

2020

Int. J. Environ. Sci. Technol.

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The present study endeavors to explore the association between total column ozone (TCO) and surface temperature (ST) over Kolkata, India, during September-November through time series approach. A spectral analysis approach is adopted to investigate the existence of any common cycle in TCO and ST time series. The spectra have been computed, and it has been observed that there exist common spectra of period 24 in both the time series explored in daily scale. The existence of common spectra among TOC and ST during the transition period from monsoon to post-monsoon has been interpreted as a proof of the similarity in fluctuation pattern of TCO and ST. Details of the dependence of the variability of TCO on ST have been discussed.

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Viewing the Interrelationship Between Some Pollutants Under the Purview of Binary and Composite Fuzzy Relation in a Post-monsoon and Winter Scenario Over a Metro City of India

Dastider,

Chattopadhyay,

Chattopadhyay

2023

Int J Environ Res

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Effect of some climatic parameters on tropospheric and total ozone column over Alipore (22.52 ∘ N, 88.33 ∘ E), India

Cited by 5 publications

References 56 publications

Study of Time-Frequency Domain Characteristics of the Total Column Ozone in China Based on Wavelet Analysis

Study of Time-Frequency Domain Characteristics of the Total Column Ozone in China Based on Wavelet Analysis

Spectral analysis approach to study the association between total ozone concentration and surface temperature

Viewing the Interrelationship Between Some Pollutants Under the Purview of Binary and Composite Fuzzy Relation in a Post-monsoon and Winter Scenario Over a Metro City of India

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