Articles | Volume 14, issue 18
https://doi.org/10.5194/acp-14-9707-2014
https://doi.org/10.5194/acp-14-9707-2014
Research article
 | 
16 Sep 2014
Research article |  | 16 Sep 2014

Analysing time-varying trends in stratospheric ozone time series using the state space approach

M. Laine, N. Latva-Pukkila, and E. Kyrölä

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Cited articles

Bates, B. C., Chandler, R. E., and Bowman, A. W.: Trend estimation and change point detection in individual climatic series using flexible regression methods, J. Geophys. Res., 117, 1–9, https://doi.org/10.1029/2011JD017077, 2012.
Bertaux, J. L., Kyrölä, E., Fussen, D., Hauchecorne, A., Dalaudier, F., Sofieva, V., Tamminen, J., Vanhellemont, F., Fanton D'Andon, O., Barrot, G., Mangin, A., Blanot, L., Lebrun, J. C., Pérot, K., Fehr, T., Saavedra, L., Leppelmeier, G. W., and Fraisse, R.: Global ozone monitoring by occultation of stars: an overview of GOMOS measurements on ENVISAT, Atmos. Chem. Phys., 10, 12091–12148, https://doi.org/10.5194/acp-10-12091-2010, 2010.
Chandler, R. E. and Scott, E. M.: Statistical Methods for Trend Detection and Analysis in the Environmental Sciences, John Wiley & Sons, 388 pp., 2011.
Chu, W. P., McCormick, M. P., Lenoble, J., Brogniez, C., and Pruvost, P.: SAGE II inversion algorithm, J. Geophys. Res., 94, 8339–8351, 1989.
Doucet, A., Freitas, N., and Gordon, N.: Sequential Monte Carlo methods in practice, Statistics for engineering and information science, Springer, 581 pp., 2001.
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