Validation and Trend Analysis of Stratospheric Ozone Data from Ground-Based Observations at Lauder, New Zealand
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...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-12-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/13/1/109 |
| _version_ | 1797542918979846144 |
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| author | Leonie Bernet Ian Boyd Gerald Nedoluha Richard Querel Daan Swart Klemens Hocke |
| author_facet | Leonie Bernet Ian Boyd Gerald Nedoluha Richard Querel Daan Swart Klemens Hocke |
| author_sort | Leonie Bernet |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-10T13:37:20Z |
| format | Article |
| id | doaj.art-fa55be2361234138922f9b26f70d65d1 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-10T13:37:20Z |
| publishDate | 2020-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-fa55be2361234138922f9b26f70d65d12023-11-21T07:27:51ZengMDPI AGRemote Sensing2072-42922020-12-0113110910.3390/rs13010109Validation and Trend Analysis of Stratospheric Ozone Data from Ground-Based Observations at Lauder, New ZealandLeonie Bernet0Ian Boyd1Gerald Nedoluha2Richard Querel3Daan Swart4Klemens Hocke5Institute of Applied Physics, University of Bern, 3012 Bern, SwitzerlandBC Scientific Consulting LLC, Stony Brook, NY 11790, USANaval Research Laboratory, Remote Sensing Division, Washington, DC 20375, USANational Institute of Water & Atmospheric Research, Lauder 9377, New ZealandNational Institute for Public Health and the Environment (RIVM), 3720 Bilthoven, The NetherlandsInstitute of Applied Physics, University of Bern, 3012 Bern, SwitzerlandChanges 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.https://www.mdpi.com/2072-4292/13/1/109stratospheric ozonetrendsozone profilesmicrowave radiometrylidars |
| spellingShingle | Leonie Bernet Ian Boyd Gerald Nedoluha Richard Querel Daan Swart Klemens Hocke Validation and Trend Analysis of Stratospheric Ozone Data from Ground-Based Observations at Lauder, New Zealand Remote Sensing stratospheric ozone trends ozone profiles microwave radiometry lidars |
| title | Validation and Trend Analysis of Stratospheric Ozone Data from Ground-Based Observations at Lauder, New Zealand |
| title_full | Validation and Trend Analysis of Stratospheric Ozone Data from Ground-Based Observations at Lauder, New Zealand |
| title_fullStr | Validation and Trend Analysis of Stratospheric Ozone Data from Ground-Based Observations at Lauder, New Zealand |
| title_full_unstemmed | Validation and Trend Analysis of Stratospheric Ozone Data from Ground-Based Observations at Lauder, New Zealand |
| title_short | Validation and Trend Analysis of Stratospheric Ozone Data from Ground-Based Observations at Lauder, New Zealand |
| title_sort | validation and trend analysis of stratospheric ozone data from ground based observations at lauder new zealand |
| topic | stratospheric ozone trends ozone profiles microwave radiometry lidars |
| url | https://www.mdpi.com/2072-4292/13/1/109 |
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