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ACP | Articles | Volume 18, issue 18
Atmos. Chem. Phys., 18, 13703–13731, 2018
https://doi.org/10.5194/acp-18-13703-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Special issue: The SPARC Reanalysis Intercomparison Project (S-RIP) (ACP/ESSD...

Atmos. Chem. Phys., 18, 13703–13731, 2018
https://doi.org/10.5194/acp-18-13703-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 27 Sep 2018

Research article | 27 Sep 2018

How well do stratospheric reanalyses reproduce high-resolution satellite temperature measurements?

Corwin J. Wright and Neil P. Hindley

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Subject: Dynamics | Research Activity: Remote Sensing | Altitude Range: Stratosphere | Science Focus: Physics (physical properties and processes)
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Cited articles

Alexander, M. J. and Barnet, C.: Using Satellite Observations to Constrain Parameterizations of Gravity Wave Effects for Global Models, J. Atmos. Sci., 64, 1652–1665, https://doi.org/10.1175/JAS3897.1, 2007. a
Alexander, M. J. and Teitelbaum, H.: Three-dimensional properties of Andes mountain waves observed by satellite: A case study, J. Geophys. Res.-Atmos., 116, 1–10, https://doi.org/10.1029/2011JD016151, 2011. a
Alexander, M. J., Gille, J., Cavanaugh, C., Coffey, M., Craig, C., Eden, T., Francis, G., Halvorson, C., Hannigan, J., Khosravi, R., Kinnison, D., Lee, H., Massie, S., Nardi, B., Barnett, J., Hepplewhite, C., Lambert, A., and Dean, V.: Global estimates of gravity wave momentum flux from High Resolution Dynamics Limb Sounder observations, J. Geophys. Res.-Atmos., 113, D15S18, https://doi.org/10.1029/2007JD008807, 2008. a
Anthes, R. A., Ector, D., Hunt, D. C., Kuo, Y.-H. Y. H. Y.-H., Rocken, C., Schreiner, W. S., Sokolovskiy, S. V., Syndergaard, S., Wee, T.-K. K., Zeng, Z., Bernhardt, P. a., Dymond, K. F., Chen, Y., Liu, H.-L., Manning, K., Randel, W. J., Trenberth, K. E., Cucurull, L., Healy, S. B., Ho, S.-P. P., McCormick, C., Meehan, T. K., Thompson, D. C., Yen, N. L., Dymond, K. F., Ector, D., Healy, S. B., Ho, S.-P. P., Hunt, D. C., Kuo, Y.-H. Y. H. Y.-H., Liu, H.-L., Manning, K., McCormick, C., Meehan, T. K., Randel, W. J., Rocken, C., Schreiner, W. S., Sokolovskiy, S. V., Syndergaard, S., Thompson, D. C., Trenberth, K. E., Wee, T.-K. K., Yen, N. L., and Zeng, Z.: The COSMIC/Formosat-3 mission: Early results, B. Am. Meteorol. Soc., 89, 313–333, https://doi.org/10.1175/BAMS-89-3-313, 2008. a, b
Aumann, H., Chahine, M., Gautier, C., Goldberg, M., Kalnay, E., McMillin, L., Revercomb, H., Rosenkranz, P., Smith, W., Staelin, D., Strow, L., and Susskind, J.: AIRS/AMSU/HSB on the aqua mission: design, science objectives, data products, and processing systems, IEEE T. Geosci. Remote, 41, 253–264, https://doi.org/10.1109/TGRS.2002.808356, 2003. a
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Reanalyses (RAs) are models which assimilate observations and are widely used as proxies for the true atmospheric state. Here, we resample six leading RAs using the weighting functions of four high-res satellite instruments, allowing a like-for-like comparison. We find that the RAs generally reproduce the satellite data well, except at high altitudes and in the tropics. However, we also find that the RAs more tightly correlate with each other than with observations, even those they assimilate.
Reanalyses (RAs) are models which assimilate observations and are widely used as proxies for the...
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