Determining the tropopause height from gridded data
By T. Reichler, M. Dameris, R. Sausen. 2003
238 citations recorded by the source corpus.
Subfields: Aerospace Engineering, Atmospheric Science
View Paper: https://www.semanticscholar.org/paper/ead6360c822a35ba2019f5ad2ec322d8574c57d8
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In Aerospace Engineering
In Atmospheric Science
- Stephen A. Klein
- M. Zelinka
- P. Ceppi
- Peter M. Caldwell
- K. Taylor
- Rune Graversen
- J. Dufresne
- D. McCoy
Citations in the corpus
- Expansion of the Hadley Cell under Global Warming: Winter versus Summer (2012, unknown): “The tropopause height H t is computed from temperature data as the lowest pressure level at which the lapse rate decreases to 2 8 C km 2 1 , following the al-gorithm of Reichler et al. (2003).”
- Causes of Higher Climate Sensitivity in CMIP6 Models (2020, background): “tropopause (Reichler et al., 2003) and then annually averaged to produce a 150-year time series of TOA radiative flux anomalies due to each field.”
- Polar Amplification in CCSM4: Contributions from the Lapse Rate and Surface Albedo Feedbacks (2014, methodology): “For the tropopause height, a definition from the World Meteorological Organization (WMO) is applied (Reichler et al. 2003): The tropopause is encountered at the lowest level where 2dT/dz , 2Kkm21, and where the average lapse rate over the following 2km does not exceed 2Kkm21.”
- Implementation of the CMIP6 Forcing Data in the IPSL‐CM6A‐LR Model (2020, methodology): “We then diagnose the pressure of the tropopause using the algorithm from Reichler et al. (2003) and only consider the aerosol above the tropopause.”