Articles | Volume 14, issue 18
https://doi.org/10.5194/acp-14-9707-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/acp-14-9707-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
16 Sep 2014
Research article |
| 16 Sep 2014
Analysing time-varying trends in stratospheric ozone time series using the state space approach
Finnish Meteorological Institute, Earth Observation Unit, P.O. Box 503, 00101 Helsinki, Finland
N. Latva-Pukkila
Department of Mathematics and Statistics, P.O. Box (MaD), 40014 University of Jyväskylä, Jyväskylä, Finland
Finnish Meteorological Institute, Earth Observation Unit, P.O. Box 503, 00101 Helsinki, Finland
E. Kyrölä
Finnish Meteorological Institute, Earth Observation Unit, P.O. Box 503, 00101 Helsinki, Finland
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- Detecting undocumented trends in solar irradiance observations T. Dudok de Wit 10.1051/swsc/2021041
- Dynamical linear modeling estimates of long-term ozone trends from homogenized Dobson Umkehr profiles at Arosa/Davos, Switzerland E. Maillard Barras et al. 10.5194/acp-22-14283-2022
- Estimating decadal variability in sea level from tide gauge records: An application to the North Sea T. Frederikse et al. 10.1002/2015JC011174
- Vertical Distribution of Arctic Methane in 2009–2018 Using Ground-Based Remote Sensing T. Karppinen et al. 10.3390/rs12060917
- Is global ozone recovering? W. Steinbrecht et al. 10.1016/j.crte.2018.07.012
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- Inconsistencies between chemistry–climate models and observed lower stratospheric ozone trends since 1998 W. Ball et al. 10.5194/acp-20-9737-2020
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- Ozone variability in the troposphere and the stratosphere from the first 6 years of IASI observations (2008–2013) C. Wespes et al. 10.5194/acp-16-5721-2016
- Measurement report: regional trends of stratospheric ozone evaluated using the MErged GRIdded Dataset of Ozone Profiles (MEGRIDOP) V. Sofieva et al. 10.5194/acp-21-6707-2021
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- Decomposition of geodetic time series: A combined simulated annealing algorithm and Kalman filter approach F. Ming et al. 10.1016/j.asr.2019.05.049
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