Bernet, Leonie; Boyd, Ian; Nedoluha, Gerald; Querel, Richard; Swart, Daan; Hocke, Klemens (2020). Validation and Trend Analysis of Stratospheric Ozone Data from Ground-Based Observations at Lauder, New Zealand. Remote sensing, 13(1), p. 109. MDPI 10.3390/rs13010109
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Changes in stratospheric ozone have to be assessed continuously to evaluate the effectiveness of the Montreal Protocol. In the southern hemisphere, few ground-based observational datasets exist, making measurements at the Network for the Detection of Atmospheric Composition Change (NDACC) station at Lauder, New Zealand invaluable. Investigating these datasets in detail is essential to derive realistic ozone trends. We compared lidar data and microwave radiometer data with collocated Aura Microwave Limb sounder (MLS) satellite data and ERA5 reanalysis data. The detailed comparison makes it possible to assess inhomogeneities in the data. We find good agreement between the datasets but also some possible biases, especially in the ERA5 data. The data uncertainties and the inhomogeneities were then considered when deriving trends. Using two regression models from the Long-term Ozone Trends and Uncertainties in the Stratosphere (LOTUS) project and from the Karlsruhe Institute of Technology (KIT), we estimated resulting ozone trends. Further, we assessed how trends are affected by data uncertainties and inhomogeneities. We find positive ozone trends throughout the stratosphere between 0% and 5% per decade and show that considering data uncertainties and inhomogeneities in the regression affects the resulting trends.
Item Type: |
Journal Article (Original Article) |
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Division/Institute: |
08 Faculty of Science > Institute of Applied Physics 10 Strategic Research Centers > Oeschger Centre for Climate Change Research (OCCR) 08 Faculty of Science > Institute of Applied Physics > Microwaves |
UniBE Contributor: |
Bernet, Leonie Anna Luisa, Hocke, Klemens |
Subjects: |
600 Technology > 620 Engineering 500 Science 500 Science > 530 Physics |
ISSN: |
2072-4292 |
Publisher: |
MDPI |
Language: |
English |
Submitter: |
Simone Corry |
Date Deposited: |
19 Mar 2021 09:46 |
Last Modified: |
07 Aug 2024 15:45 |
Publisher DOI: |
10.3390/rs13010109 |
BORIS DOI: |
10.48350/153023 |
URI: |
https://boris.unibe.ch/id/eprint/153023 |
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