Hostname: page-component-cd9895bd7-dzt6s Total loading time: 0 Render date: 2024-12-25T16:54:10.373Z Has data issue: false hasContentIssue false
  • English
  • Français

An Analysis of the Structure and Variation of the Tropopause over China with GPS Radio Occultation Data

Published online by Cambridge University Press:  14 October 2011

Xiaohua Xu ,
Jia Luo  and
Kefei Zhang
Xiaohua Xu*
Affiliation:
(School of Geodesy and Geomatics, Wuhan University, China)
Jia Luo
Affiliation:
(School of Geodesy and Geomatics, Wuhan University, China)
Kefei Zhang
Affiliation:
(School of Mathematical and GeoSpatial Sciences, RMIT University, Australia)
*
(Email: [email protected])
Get access Rights & Permissions [Opens in a new window]

Abstract

The status of the tropopause has impact on weather phenomena and climate change occurring in the atmosphere of the Earth. The investigation of structure and variation of the tropopause plays a significant role in an in-depth understanding of water vapour exchange, mass and chemical materials across the tropopause, and their impacts on climate change and ecological environment. With the advantages of high vertical resolution, global coverage, unbiased instrumentation, and long-term stability, GPS Radio Occultation (RO) data is ideal for the monitoring of tropopause structure. In this research, GPS RO data from the two missions, CHAMP and COSMIC, were used to assess and analyse the temporal and spatial variations in tropopause heights and temperature over China. The consistency of the precision of the GPS temperature profiles derived from the two missions were also statistically validated. The two types of tropopause, i.e. the Lapse Rate Tropopause (LRT) and the Cold Point Tropopause (CPT), were determined from the GPS RO temperature profiles, and the trend of the variations in tropopause heights and temperatures of the two types of tropopause were compared and analysed.

Keywords

GPS Radio OccultationCHAMPCOSMICTropopause
Type
Research Article
Information
The Journal of Navigation , Volume 64 , Supplement S1: Chinese Beidou and the Next Generation GNSS , November 2011 , pp. S103 - S111
Copyright
Copyright © The Royal Institute of Navigation 2011

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

REFERENCES

Anthes, R. A., Bernhardt, P. A., Chen, Y., Cucurull, L., Dymond, K. F., Ector, D., Healy, S. B., Ho, S.-P., Hunt, D. C., Kuo, Y.-H., Liu, H., 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., Yen, N. L. and Zeng, Z. (2008). The COSMIC/FORMOSAT-3 mission: early results. Bulletin of the American Meteorological Society, 89 (3), 313–333.CrossRefGoogle Scholar
Kursinski, E. R., Hajj, G. A., Schofield, J. T., Linfield, R. P., and Hardy, K. R. (1997). Observing Earth's atmosphere with radio occultation measurements using the Global Positioning System. Journal of Geophysical Research, 102 (D19), 23429–23465.CrossRefGoogle Scholar
Kishore, P., Namboothiri, S. P., Igarashi, K., Jiang, J. H., Ao, C. O. and Romans, L. J. (2006). Climatological characteristics of the tropopause parameters derived from GPS/CHAMP and GPS/SAC-C measurements. Journal of Geophysical Research, 111, D20110, 12pp., doi: 10.1029/2005JD006827.CrossRefGoogle Scholar
Randel, W. J., Wu, F. and Rios, W. R. (2003). Thermal variability of the tropical tropopause region derived from GPS/MET observations. Journal of Geophysical Research, 108(D1), 4024, 12pp., doi: 10.1029/2002JD002595.CrossRefGoogle Scholar
Schmidt, T., Wickert, J., Beyerle, G. and Heise, S. (2008). Global tropopause height trends estimated from GPS radio occultation data. Geophysics Research Letters, 35, L11806, 5pp., doi: 10.1029/2008GL034012.Google Scholar
Wang, X. and Lv, D. (2007). Analysis of the variation of tropopause structure over the Tibetan plateau with GPS RO data. Progress in Natural Science, 17(7), 913–919. (In Chinese)Google Scholar
World Meteorological Organization (WMO) (1957), Definition of the tropopause, WMO Bulletin 6, Geneva, Switzerland.Google Scholar
Wu, J., Yang, Q., Wang, W., Yuan, M. and Fan, W. (2006). Statistics of the Global tropopause temperature change, Journal of Yunnan University (Natural Science Edition), 28(4), 323–332. (In Chinese).Google Scholar
Xu, X. and Luo, J. (2008), Validation of COSMIC RO profiles with radiosonde soundings, Proceedings of the International Conference on Earth Observation Data Processing and Analysis (ICEODPA), Wuhan, China.CrossRefGoogle Scholar