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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- Detectability of the impacts of ozone-depleting substances and greenhouse gases upon stratospheric ozone accounting for nonlinearities in historical forcings J. Bandoro et al. 10.5194/acp-18-143-2018
- Trend detection of atmospheric time series K. Chang et al. 10.1525/elementa.2021.00035
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- Stratospheric ozone trends for 1985–2018: sensitivity to recent large variability W. Ball et al. 10.5194/acp-19-12731-2019
- An enhanced singular spectrum analysis method for constructing nonsecular model of GPS site movement X. Wang et al. 10.1002/2015JB012573
- Wind power scenario generation through state-space specifications for uncertainty analysis of wind power plants G. Díaz et al. 10.1016/j.apenergy.2015.10.052
3 citations as recorded by crossref.
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