Two decades of in-situ temperature measurements in the upper troposphere and lowermost stratosphere from IAGOS long-term routine observation

Berkes, Florian; Nédélec, Philippe; Schultz, Martin; Wahner, Andreas; Bundke, Ulrich; Boulanger, Damien; Konopka, Paul; Petzold, Andreas; Smit, Herman G.J.; Neis, Patrick; Rohs, Susanne; Thouret, Valerie

doi:10.5194/acp-2017-494

Journal Article

FZJ-2017-06050

Two decades of in-situ temperature measurements in the upper troposphere and lowermost stratosphere from IAGOS long-term routine observation

Berkes, F. (Corresponding author)FZJ* ; Neis, P.FZJ* ; Schultz, M.FZJ* ; Bundke, U.FZJ* ; Rohs, S.FZJ* ; Smit, H. G. J.FZJ* ; Wahner, A.FZJ* ; Konopka, P.FZJ* ; Boulanger, D. ; Nédélec, P. ; Thouret, V. ; Petzold, A.FZJ*

2017
EGU Katlenburg-Lindau

Atmospheric chemistry and physics / Discussions 494( ), (2017) [10.5194/acp-2017-494]

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Please use a persistent id in citations: http://hdl.handle.net/2128/15296 doi:10.5194/acp-2017-494

Abstract: Despite several studies on temperature trends in the tropopause region, a comprehensive understanding of the evolution of temperatures in this climate-sensitive region of the atmosphere remains elusive. Here we present a unique global-scale, long-term data set of high-resolution in-situ temperature data measured aboard passenger aircraft within the European Research Infrastructure IAGOS (In-service Aircraft for a Global Observing System, www.iagos.org). This data set is used to investigate temperature trends within the global upper troposphere and lowermost stratosphere (UTLS) for the period 1995 to 2012 in different geographical regions and vertical layers of the UTLS. The largest amount of observations is available over the North Atlantic. Here, a neutral temperature trend is found within the lowermost stratosphere. This contradicts the temperature trend in the European Centre for Medium Range Weather Forecast (ECMWF) ERA-Interim reanalysis, where a significant (95 % confidence) temperature increase of +0.56 K/decade is obtained. Differences between trends derived from observations and reanalysis data can be traced back to changes in the temperature bias between observation and model data over the studied period. This study demonstrates the value of the IAGOS temperature observations as anchor point for the evaluation of reanalyses and its suitability for independent trend analyses.

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