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Below is the combined list of references from refs_sat.bib and refs_external.bib. It is intended for our group's internal use.

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                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.