Temporal Homogenization of Monthly Radiosonde Temperature Data. Part II: Trends, Sensitivities, and MSU Comparison.
By J. Lanzante, Stephen A. Klein, D. Seidel. 2003
162 citations recorded by the source corpus.
Subfields: Atmospheric Science, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/e3a41d9fb45cfa303bbd60a8c1dd0da42756e4e5
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In Atmospheric Science
- William J. Randel
- Piers M. Forster
- Fei Wu
- D. Seidel
- S. Fueglistaler
- Karen H. Rosenlof
- D. Shindell
- Q. Fu
In Global and Planetary Change
Citations in the corpus
- Homogenization of the Global Radiosonde Temperature Dataset through Combined Comparison with Reanalysis Background Series and Neighboring Stations (2012, background): “Various homogenization approaches for the global radiosonde network have been put forward (Luers and Eskridge 1995; Lanzante et al. 2003; Thorne et al. 2005b; Free et al. 2005; Sherwood et al. 2008; McCarthy et al. 2008; Titchner et al. 2009) but none of them could explain and remove the apparent…”
- Tropical tropopause layer (2009, background): “for 1979–1997 [Lanzante et al., 2003]), but it is not clear which processes are accountable for these changes.”
- An assessment of three alternatives to linear trends for characterizing global atmospheric temperature changes (2004, unknown): “…temperatures and other variables have not experienced monotonic linear changes and that the data exhibit both piecewise linear behavior and step-like changes [e.g., Karl et al., 2000; Lindzen and Giannitsis, 2002; Christiansen, 2003; Lanzante et al., 2003; Tomé and Miranda, 2004; Rodionov, 2004].”
- Trends in the temperature and water vapor content of the tropical lower stratosphere: Sea surface connection (2008, background): “[9] Radiosonde measurements provide an excellent source of information on temperature, winds, and geopotential heights in the lower stratosphere, but care must be taken in using the archived data to derive long-term trends, as has been pointed out frequently [e.g., Lanzante et al., 2003a, 2003b; R”
- Using first differences to reduce inhomogeneity in radiosonde temperature datasets (2004, methodology): “q 2004 American Meteorological Society”
- Control of interannual and longer‐term variability of stratospheric water vapor (2005, background): “Most recently, Lanzante et al. [2003] estimate for temperatures at 100 hPa in the tropics a negative trend of 0.”
- Behavior of tropopause height and atmospheric temperature in models, reanalyses, and observations: Decadal changes (2003, unknown): “Biases in the radiosonde data assimilated by NCEP may also explain some of the channel 4 trend differences in NCEP and MSU [ Lanzante et al. , 2002].”
- Comparing radiosonde and COSMIC atmospheric profile data to quantify differences among radiosonde types and the effects of imperfect collocation on comparison statistics (2010, background): “…differ between stations according to sonde type and/or national practices [e.g., Soden and Lanzante, 1996; Christy and Norris, 2009], and vary with time due to changes in sensors and reporting practices [Gaffen, 1994; Luers and Eskridge, 1998; Lanzante et al., 2003; Christy and Norris, 2009].”
- Interannual changes of stratospheric water vapor and correlations with tropical tropopause temperatures (2004, methodology): “The radiosonde data used here agree well with the socalled ''liberal–conservative (LIBCON)'' adjusted radiosonde dataset discussed in Lanzante et al. (2003), which currently only extends to 1997.”
- Variability and trends in the global tropopause estimated from radiosonde data (2006, methodology): “codes L (change points identified by Lanzante et al. [2003]), R (satellite-”
- A comparison of model‐simulated trends in stratospheric temperatures (2003, methodology): “There is evidence that the trends in the tropical lower stratosphere, in particular, are still too negative even after adjustment (Lanzante et al. 2002b).”
- Construction of the Remote Sensing Systems V3.2 Atmospheric Temperature Records from the MSU and AMSU Microwave Sounders (2009, background): “We have concluded that ra-diosonde datasets are not suitable for this task, given the possibility of large errors at high altitude (Lanzante et al. 2003; Randel and Wu, 2006; Sherwood et al. 2005), and datasets based on GPS measurements (e.g., Ho et al. 2007) do not have a sufficient number of…”
- Decreases in stratospheric water vapor after 2001: Links to changes in the tropical tropopause and the Brewer‐Dobson circulation (2006, background): “…(decadal) changes in tropical tropopause temperatures requires special attention, because changes (improvements) in radiosonde instrumentation or radiation corrections over time can result in spurious cooling trends [Seidel et al., 2001; Lanzante et al., 2003a, 2003b; Randel and Wu, 2006].”
- Toward Elimination of the Warm Bias in Historic Radiosonde Temperature Records—Some New Results from a Comprehensive Intercomparison of Upper-Air Data (2008, background): “No Indian stations have been used because their temperature series are rather inaccurate (Lanzante et al. 2003), at least in the 1980s and 1990s.”