Trend and recovery of the total ozone column in South America and Antarctica

Toro, A Richard; Araya, Consuelo; Labra, O Felipe; Morales, Luis; Morales, Raúl G. E.; Leiva, A G Manuel

doi:10.1007/s00382-017-3540-1

Cited by 10 publications

(4 citation statements)

References 75 publications

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“…Toward the high latitudes of the southern hemisphere the magnitude of the explained variance using our MLR decreases to about 50% suggesting that part of the forcing of ozone variability is missing in this region. In contrast to our model in other ozone trend and variability studies the poleward heat flux is included as additional and significant proxy (de Laat et al, 2015;Toro A. et al, 2017;Weber et al, 2018Weber et al, , 2021a, which might explain the lower values of the explained variance we achieve with the MLR.…”

Section: Multivariate Linear Regression Modelmentioning

confidence: 74%

Global, regional and seasonal analysis of total ozone trends derived from the 1995–2020 GTO-ECV climate data record

Coldewey‐Egbers

Loyola

Lerot

et al. 2022

Preprint

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Abstract. In this study we present an updated perspective on near-global total ozone trends for the period 1995–2020. We use the GOME-type Total Ozone Essential Climate Variable (GTO-ECV) satellite data record which has been extended and generated as part of the European Space Agency’s Climate Change Initiative (ESA-CCI) and European Union Copernicus Climate Change Service (EU-C3S) ozone projects. The focus of our work is the analysis of regional patterns in the ozone trend as well as the investigation of its seasonal dependence. In the Southern Hemisphere we found regions that indicate statistically significant positive trends increasing from 0.6 ± 0.5 % decade−1 in the subtropics to 1.0 ± 0.9 % decade−1 in the middle latitudes and 2.8 ± 2.6 % decade−1 in the latitude band 60°–70° S. In the middle latitudes of the Northern Hemisphere the trend exhibits distinct regional patterns, i.e. latitudinal and longitudinal structures. Significant positive trends (∼1.5 ± 1.0 % decade−1) over the North Atlantic region as well as negative trends (−1.0 ± 1.0 % decade−1) over Eastern Europe were found. Moreover, these trends indicate a correlation with long-term changes in tropopause pressure. Total ozone trends in the tropics are not significant. Regarding the seasonal dependence of the trends we found only very small variations over the course of the year. However, we identified different behavior depending on latitude. In the latitude band 40°–70° N the positive trend maximizes in boreal winter from December to February. In the middle latitudes of the Southern Hemisphere (35°–50° S) the trend is maximum from March to May. Further south toward the high latitudes (55°–70° S) the trend denotes a relatively strong seasonal cycle which varies from 2 % decade−1 in December and January to 3.8 % decade−1 in June and July.

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Section: Multivariate Linear Regression Modelmentioning

confidence: 74%

Global, regional and seasonal analysis of total ozone trends derived from the 1995–2020 GTO-ECV climate data record

Coldewey‐Egbers

Loyola

Lerot

et al. 2022

Preprint

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“…The exposure of U.V. radiation significantly affects the morphology and physiology of cyanobacteria [83,84]. Cyanobacteria travel to areas with low UV-B flux to avoid the harm of UV-B and try to make a balance for efficient photosynthesis and pigment bleaching by optimizing their position in inland mats or the water column [85].…”

Section: Light Qualitymentioning

confidence: 99%

Mechanisms of Stress Tolerance in Cyanobacteria under Extreme Conditions

et al. 2022

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Cyanobacteria are oxygen-evolving photoautotrophs with worldwide distribution in every possible habitat, and they account for half of the global primary productivity. Because of their ability to thrive in a hostile environment, cyanobacteria are categorized as “extremophiles”. They have evolved a fascinating repository of distinct secondary metabolites and biomolecules to promote their development and survival in various habitats, including severe conditions. However, developing new proteins/enzymes and metabolites is mostly directed by an appropriate gene regulation system that results in stress adaptations. However, only few proteins have been characterized to date that have the potential to improve resistance against abiotic stresses. As a result, studying environmental stress responses to post-genomic analysis, such as proteome changes using latest structural proteomics and synthetic biology techniques, is critical. In this regard, scientists working on these topics will benefit greatly from the stress of proteomics research. Progress in these disciplines will aid in understanding cyanobacteria’s physiology, biochemical, and metabolic systems. This review summarizes the most recent key findings of cyanobacterial proteome study under various abiotic stresses and the application of secondary metabolites formed during different abiotic conditions.

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“…In addition, the Theil-Sen trend method was used to measure the spatio-temporal variation trends of the PM 2.5 concentrations in the CUA [44]. This method was implemented in Python, a robust non-parametric statistical algorithm with strong resistance to measurement errors.…”

Section: Spatial Dependence Pattern and Spatio-temporal Trend Analysismentioning

confidence: 99%

The Direct and Spillover Effect of Multi-Dimensional Urbanization on PM2.5 Concentrations: A Case Study from the Chengdu-Chongqing Urban Agglomeration in China

Wang

Sun

et al. 2021

IJERPH

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The Chengdu-Chongqing urban agglomeration (CUA) faces considerable air quality concerns, although the situation has improved in the past 15 years. The driving effects of population, land, and economic urbanization on PM2.5 concentrations in the CUA have largely been overlooked in previous studies. The contributions of natural and socio-economic factors to PM2.5 concentrations have been ignored, and the spillover effects of multi-dimensional urbanization on PM2.5 concentrations have been underestimated. This study explores the spatial dependence and trend evolution of PM2.5 concentrations in the CUA at the grid and county level, analyzing the direct and spillover effects of multi-dimensional urbanization on PM2.5 concentrations. The results show that the mean PM2.5 concentrations in CUA dropped to 48.05 μg/m3 at an average annual rate of 4.6% from 2000 to 2015; however, in 2015, there were still 91% of areas exposed to pollution risk (> 35 μg/m3). The PM2.5 concentrations in 92.98% of the area have slowly decreased but are rising in some areas, such as Shimian County, Xuyong County, and Gulin County. The PM2.5 concentrations in this region presented a spatial dependence pattern of “cold spots in the east and hot spots in the west”. Urbanization was not the only factor contributing to PM2.5 concentrations. Commercial trade, building development, and atmospheric pressure were found to have significant contributions. The spillover effect of multi-dimensional urbanization was found to be generally stronger than the direct effects, and the positive impact of land urbanization on PM2.5 concentrations was stronger than population and economic urbanization. The findings provide support for urban agglomerations such as CUA that are still being cultivated to carry out cross-city joint control strategies of PM2.5 concentrations, also proving that PM2.5 pollution control should not only focus on urban socio-economic development strategies but should be an integration of work optimization in various areas such as population agglomeration, land expansion, economic construction, natural adaptation, and socio-economic adjustment.

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Trend and recovery of the total ozone column in South America and Antarctica

Cited by 10 publications

References 75 publications

Global, regional and seasonal analysis of total ozone trends derived from the 1995–2020 GTO-ECV climate data record

Global, regional and seasonal analysis of total ozone trends derived from the 1995–2020 GTO-ECV climate data record

Mechanisms of Stress Tolerance in Cyanobacteria under Extreme Conditions

The Direct and Spillover Effect of Multi-Dimensional Urbanization on PM2.5 Concentrations: A Case Study from the Chengdu-Chongqing Urban Agglomeration in China

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