Show tag cloud

Filter by author:
Filter by year:
Filter by bibtex key:
Filter by type:
Filter by keyword:
and
and
 

Filtered by keyword:time series

There is currently a filter applied. To see the complete list of publications, clear the filter.
  1. Chen, R. and C. Cao (2012), Physical analysis and recalibration of MetOp HIRS using IASI for cloud studies, J. Geophys. Res., 117, D03103, doi:10.1029/2011JD016427.
  2. Clarmann, T. von, G. Stiller, U. Grabowski, E. Eckert, and J. Orphal (2010), Technical Note: Trend estimation from irregularly sampled, correlated data, Atmos. Chem. Phys., 10, 6737–6747, doi:10.5194/acp-10-6737-2010.
  3. Coughlin, K. and K. K. Tung (2005), The Hilbert-Huang Transform and Its Applications, chap. Empirical mode decomposition of climate variability, pp. 173–193, World Scientific Publishing Company, ISBN 978-9-81256-376-7.
  4. Hasselmann, K. (1997), Multi-pattern fingerprint method for detection and attribution of climate change, Climate Dynamics, 13(9), 601-611, doi:10.1007/s003820050185.
  5. Hegerl, G. and F. Zwiers (2011), Use of models in detection and attribution of climate change, Wiley Interd. Rev.: Climate Change, 2(4), 570–591, doi:10.1002/wcc.121.
  6. Huang, N. E. and Z. Wu (2008), A review on Hilbert-Huang transform: Method and its applications to geophysical studies, Rev. Geophys., 46(2), RG2006, doi:10.1029/2007RG000228.
  7. Huang, N. E., Z. Shen, S. R. Long, M. C. Wu, H. H. Shih, Q. Zheng, N.-C. Yen, C. C. Tung, and H. H. Liu (1998), The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis, Proc. R. Soc. Lond. A, 454(1971), 903–995, doi:10.1098/rspa.1998.0193.
  8. Lee, T. and T. B. M. J. Ouarda (2011), Prediction of climate nonstationary oscillation processes with empirical mode decomposition, J. Geophys. Res., 116, D06107, doi:10.1029/2010JD015142.
  9. Musial, J. P., M. M. Verstraete, and N. Gobron (2011), Technical Note: Comparing the effectiveness of recent algorithms to fill and smooth incomplete and noisy time series, Atmos. Chem. Phys., 11, 7905–7923, doi:10.5194/acp-11-7905-2011.
  10. Rienzner, M. and C. Gandolfi (2011), A composite statistical method for the detection of multiple undocumented abrupt changes in the mean value within a time series, Int. J. Climatol., 31(5), 742–755, doi:10.1002/joc.2113.
  11. Santer, B. D., T. M. L. Wigley, J. S. Boyle, D. J. Gaffen, J. J. Hnilo, D. Nychka, D. E. Parker, and K. E. Taylor (2000), Statistical significance of trends and trend differences in layer-average atmospheric temperature time series, J. Geophys. Res., 105(D6), 7337–7356, doi:10.1029/1999JD901105.
  12. Spencer, R. W. and J. R. Christy (1992), Precision and Radiosonde Validation of Satellite Gridpoint Temperature Anomalies. Part I: MSU Channel 2, J. Climate, 5(8), 847–857, doi:10.1175/1520-0442.
  13. Zhai, P. and R. E. Eskridge (1996), Analyses of Inhomogeneities in Radiosonde Temperature and Humidity Time Series, J. Climate, 9, 1–17.