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dc.contributor.author
Yuchechen, Adrian Enrique  
dc.contributor.author
Lakkis, Susan Gabriela  
dc.contributor.author
Canziani, Pablo Osvaldo  
dc.date.available
2018-04-06T14:56:45Z  
dc.date.issued
2017-08  
dc.identifier.citation
Yuchechen, Adrian Enrique; Lakkis, Susan Gabriela; Canziani, Pablo Osvaldo; Linear and non-linear trends for seasonal NO2 and SO2 concentrations in the Southern Hemisphere (2004−2016); Multidisciplinary Digital Publishing Institute; Remote Sensing; 9; 9; 8-2017; 1-24  
dc.identifier.uri
http://hdl.handle.net/11336/41096  
dc.description.abstract
In order to address the behaviour of nitrogen dioxide (NO2) and sulphur dioxide (SO2) in the context of a changing climate, linear and non-linear trends for the concentrations of these two trace gases were estimated over their seasonal standardised variables in the Southern Hemisphere-between the Equator and 60° S-using data retrieved by the Ozone Monitoring Instrument, for the period 2004-2016. A rescaling was applied to the calculated linear trends so that they are expressed in Dobson units (DU) per decade. Separately, the existence of monotonic-not necessarily linear-trends was addressed by means of the Mann-Kendall test. Results indicate that the SO2 exhibits significant linear trends in the planetary boundary layer only; they are present in all the analysed seasons but just in a small number of grid cells that are generally located over the landmasses or close to them. The SO2 concentrations in the quarterly time series exhibit, on average, a linear trend that is just below 0.08 DU decade-1 when significant and not significant values are considered altogether, but this figure increases to 0.80 DU decade-1 when only the significant trends are included. On the other hand, an important number of pixels in the lower troposphere, the middle troposphere, and the lower stratosphere have significant monotonic upward or downward trends. As for the NO2, no significant linear trends were found either in the troposphere or in the stratosphere, yet monotonic upward and downward trends were observed in the former and latter layers, respectively. Unlike the linear trends, semi-linear and non-linear trends were seen over the continents and in remote regions over the oceans. This suggests that pollutants are transported away from their sources by large-scale circulation and redistributed hemispherically. The combination of regional meteorological phenomena with atmospheric chemistry was raised as a possible explanation for the observed trends. If extrapolated, these trends are in an overall contradiction with the projected emissions of both gases for the current century.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Multidisciplinary Digital Publishing Institute  
dc.rights
info:eu-repo/semantics/openAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
Nitrogen Dioxide  
dc.subject
Sulphur Dioxide  
dc.subject
Concentrations  
dc.subject
Linear Trends  
dc.subject
Non-Linear Trends  
dc.subject
Mann-Kendall Test  
dc.subject
Southern Hemisphere  
dc.subject.classification
Meteorología y Ciencias Atmosféricas  
dc.subject.classification
Ciencias de la Tierra y relacionadas con el Medio Ambiente  
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS  
dc.title
Linear and non-linear trends for seasonal NO2 and SO2 concentrations in the Southern Hemisphere (2004−2016)  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2018-04-06T13:45:09Z  
dc.identifier.eissn
2072-4292  
dc.journal.volume
9  
dc.journal.number
9  
dc.journal.pagination
1-24  
dc.journal.pais
Suiza  
dc.journal.ciudad
Basilea  
dc.description.fil
Fil: Yuchechen, Adrian Enrique. Universidad Tecnológica Nacional. Facultad Regional Buenos Aires. Unidad de Investigación y Desarrollo de las Ingenierías; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina  
dc.description.fil
Fil: Lakkis, Susan Gabriela. Universidad Tecnológica Nacional. Facultad Regional Buenos Aires. Unidad de Investigación y Desarrollo de las Ingenierías; Argentina. Pontificia Universidad Católica Argentina ; Argentina  
dc.description.fil
Fil: Canziani, Pablo Osvaldo. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Tecnológica Nacional. Facultad Regional Buenos Aires. Unidad de Investigación y Desarrollo de las Ingenierías; Argentina  
dc.journal.title
Remote Sensing  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.3390/rs9090891  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/http://www.mdpi.com/2072-4292/9/9/891