Articles | Volume 17, issue 7
Atmos. Chem. Phys., 17, 4493–4511, 2017
https://doi.org/10.5194/acp-17-4493-2017
Atmos. Chem. Phys., 17, 4493–4511, 2017
https://doi.org/10.5194/acp-17-4493-2017

Research article 04 Apr 2017

Research article | 04 Apr 2017

Characterization of the long-term radiosonde temperature biases in the upper troposphere and lower stratosphere using COSMIC and Metop-A/GRAS data from 2006 to 2014

Shu-peng Ho et al.

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Cited articles

Andrae, U., Sokka, N., and Onogi, K.: The radiosonde temperature bias correction in ERA-40, ERA-40 Project Report Series, 15, 34 pp., 2004.
COSMIC Data Analysis and Archive Center: Atmospheric Profiles from COSMIC Occultation Data, http://cdaac-www.cosmic.ucar.edu/cdaac/products.html (last access: 30 March 2015), 2013.
Dach, R., Lutz, S., Walser, P., and Fridez, P. (Eds): Bernese GNSS Software Version 5.2, User manual, Astronomical Institute, Universtiy of Bern, Bern Open Publishing, https://doi.org/10.7892/boris.72297, ISBN: 978-3-906813-05-9, 2015.
Dirksen, R. J., Sommer, M., Immler, F. J., Hurst, D. F., Kivi, R., and Vömel, H.: Reference quality upper-air measurements: GRUAN data processing for the Vaisala RS92 radiosonde, Atmos. Meas. Tech., 7, 4463–4490, https://doi.org/10.5194/amt-7-4463-2014, 2014.
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Short summary
Radiosonde observations (RAOBs) have provided the only long-term global in situ temperature measurements since 1958. In this study, we use Global Positioning System (GPS) radio occultation (RO) temperature data from 2006 to 2014 to characterize the inter-seasonal and interannual variability of temperature biases in the lower stratosphere. Results from this study also demonstrate the feasibility to use RO data to correct RAOB temperature biases for different sensor types.
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