Articles | Volume 19, issue 9
https://doi.org/10.5194/acp-19-6269-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-19-6269-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Trends and trend reversal detection in 2 decades of tropospheric NO2 satellite observations
Aristeidis K. Georgoulias
CORRESPONDING AUTHOR
Royal Netherlands Meteorological Institute (KNMI), De Bilt, the
Netherlands
current address: Department of Meteorology and Climatology, School of
Geology, Aristotle University of Thessaloniki, Thessaloniki, Greece
Ronald J. van der A
Royal Netherlands Meteorological Institute (KNMI), De Bilt, the
Netherlands
Piet Stammes
Royal Netherlands Meteorological Institute (KNMI), De Bilt, the
Netherlands
K. Folkert Boersma
Royal Netherlands Meteorological Institute (KNMI), De Bilt, the
Netherlands
Wageningen University, Meteorology and Air Quality Group, Wageningen, the Netherlands
Henk J. Eskes
Royal Netherlands Meteorological Institute (KNMI), De Bilt, the
Netherlands
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Latest update: 05 Oct 2024
Short summary
In this paper, a ∼21-year self-consistent global dataset from four different satellite sensors is compiled for the first time to study the long-term tropospheric NO2 patterns and trends. A novel method capable of detecting the year when a reversal of trends happened shows that tropospheric NO2 concentrations switched from positive to negative trends and vice versa over several regions around the globe during the last 2 decades.
In this paper, a ∼21-year self-consistent global dataset from four different satellite sensors...
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