Global tropopause height trends estimated from GPS radio occultation data

Geophysical Research Letters

Volumn 35, Issue 11, 2008, Pages

  Schmidt, T ^a   Wickert, J ^a   Beyerle, G ^a   Heise, S ^a  

^a GeoForschungsZentrum Potsdam ^*  (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

FOOD PROCESSING; GEODETIC SATELLITES; GLOBAL POSITIONING SYSTEM; REGRESSION ANALYSIS; SATELLITE NAVIGATION AIDS;

DATA GAPS; DETECTION ALGORITHMS; GRACE MISSION; OBSERVATION PERIOD; QUASI-BIENNIAL OSCILLATION; RADIO OCCULTATION; REGRESSION MODELLING; SATELLITE MISSIONS; TEMPERATURE VARIATIONS; TIME PERIODS;

CLOUDS;

AIR TEMPERATURE; ALGORITHM; DETECTION METHOD; ESTIMATION METHOD; GPS; QUASI-BIENNIAL OSCILLATION; REGRESSION ANALYSIS; SATELLITE DATA; SATELLITE MISSION; STRATOSPHERE; TROPOPAUSE; TROPOSPHERE;

EID: 49849105280     PISSN: 00948276     EISSN: None     Source Type: Journal    
DOI: 10.1029/2008GL034012     Document Type: Article

References (11)

1. Foelsche, U., et al. (2007), Observing upper troposphere-lower stratosphere climate with radio occultation data from the CHAMP satellite, Clim. Dyn., 31, 49-65, doi:10.1007/s00382-007-0337-7.
2. Karl, T. R., S. J. Hassol, C. D. Miller, and W. L. Murray (Eds.) (2006), Temperature Trends in the Lower Atmosphere: Steps for Understanding and Reconciling Differences, U.S. Clim. Change Sci. Program, Washington, D. C.
3. Lanzante, J. R. (1996), Resistant, robust and non-parametric techniques for the analysis of climate data: Theory and examples, including applications to historical radiosonde station data, Int. J. Climatol., 16, 1197-1226, (Correction, Int. J. Climatol., 18, 235, 1998).
4. Leroy, S. S., J. G. Anderson, and J. A. Dykema (2006), Testing climate models using GPS radio occultation: A sensitivity analysis, J. Geophys. Res., 111, D17105, doi:10.1029/2005JD006145.
5. Melbourne, W. G., et al. (1994), The application of spaceborne GPS to atmospheric limb sounding and global change monitoring, JPL Publ., 94-18.
6. Randel, W. J., D. J. Seidel, and L. L. Pan (2007), Observational characteristics of double tropopauses, J. Geophys. Res., 112, D07309, doi:10.1029/2006JD007904.
7. Santer, B. D., et al. (2004), Identification of anthropogenic climate change using a second-generation reanalysis, J. Geophys. Res., 109, D21104, doi:10.1029/2004JD005075.
8. Schmidt, T., G. Beyerle, S. Heise, J. Wickert, and M. Rothacher (2006), A climatology of multiple tropopauses derived from GPS radio occultations with CHAMP and SAC-C, Geophys. Res. Lett., 33, L04808, doi:10.1029/2005GL024600.
9. Seidel, D. J., and W. J. Randel (2006), Variability and trends in the global tropopause estimated from radisonde data, J. Geophys. Res., 111, D21101, doi:10.1029/2006JD007363.
10. Wickert, J., et al. (2005), GPS radio occultation with CHAMP and GRACE: A first look at a new and promising satellite configuration for global atmospheric sounding, Ann. Geophys., 23, 653-658.
11. World Meteorological Organization (WMO) (1957), Definition of the tropopause, WMO Bull. 6, Geneva, Switzerland.