Abstract

Abstract. Trend estimates with different signs are reported in the literature for lower stratospheric water vapour considering the time period between the late 1980s and 2010. The NOAA (National Oceanic and Atmospheric Administration) frost point hygrometer (FPH) observations at Boulder (Colorado, 40.0° N, 105.2° W) indicate positive trends (about 0.1 to 0.45 ppmv decade−1). On the contrary, negative trends (approximately −0.2 to −0.1 ppmv decade−1) are derived from a merged zonal mean satellite data set for a latitude band around the Boulder latitude. Overall, the trend differences between the two data sets range from about 0.3 to 0.5 ppmv decade−1, depending on altitude. It has been proposed that a possible explanation for these discrepancies is a different temporal behaviour at Boulder and the zonal mean. In this work we investigate trend differences between Boulder and the zonal mean using primarily simulations from ECHAM/MESSy (European Centre for Medium-Range Weather Forecasts Hamburg/Modular Earth Submodel System) Atmospheric Chemistry (EMAC), WACCM (Whole Atmosphere Community Climate Model), CMAM (Canadian Middle Atmosphere Model) and CLaMS (Chemical Lagrangian Model of the Stratosphere). On shorter timescales we address this aspect also based on satellite observations from UARS/HALOE (Upper Atmosphere Research Satellite/Halogen Occultation Experiment), Envisat/MIPAS (Environmental Satellite/Michelson Interferometer for Passive Atmospheric Sounding) and Aura/MLS (Microwave Limb Sounder). Overall, both the simulations and observations exhibit trend differences between Boulder and the zonal mean. The differences are dependent on altitude and the time period considered. The model simulations indicate only small trend differences between Boulder and the zonal mean for the time period between the late 1980s and 2010. These are clearly not sufficient to explain the discrepancies between the trend estimates derived from the FPH observations and the merged zonal mean satellite data set. Unless the simulations underrepresent variability or the trend differences originate from smaller spatial and temporal scales than resolved by the model simulations, trends at Boulder for this time period should also be quite representative for the zonal mean and even other latitude bands. Trend differences for a decade of data are larger and need to be kept in mind when comparing results for Boulder and the zonal mean on this timescale. Beyond that, we find that the trend estimates for the time period between the late 1980s and 2010 also significantly differ among the simulations. They are larger than those derived from the merged satellite data set and smaller than the trend estimates derived from the FPH observations.

Highlights

  • Water vapour in the stratosphere plays a fundamental role in the radiative budget and affects the ozone chemistry in this atmospheric layer

  • We find that the trend estimates for the time period between the late 1980s and 2010 significantly differ among the simulations

  • We focus on the altitude range between 100 and 20 hPa that is typically covered by the frost point hygrometer (FPH) observations and in almost all cases completely in the stratosphere (Kunz et al, 2013)

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Summary

Introduction

Water vapour in the stratosphere plays a fundamental role in the radiative budget and affects the ozone chemistry in this atmospheric layer. During the same period as covered by the merged satellite data set, the FPH observations at Boulder still exhibit a clear increase in lower stratospheric water vapour (Hurst et al, 2011). There might be unresolved differences among the measurement techniques, like due to the different spatial and temporal sampling and resolution In their discussion of the trend discrepancies between the FPH observations and the merged satellite data set Hegglin et al (2014) opted for the second possible explanation, indicating that the temporal behaviour at Boulder is different than for the zonal mean of the latitude band around the Boulder latitude. These data sets are analysed individually to avoid potential uncertainties and artefacts due to merging (e.g. Ball et al, 2017), providing results for the time periods 1992–2005, 2002–2012 and 2004–2016, respectively

Model simulations
Observations
NOAA frost point hygrometer
Boulder time series
Zonal mean time series
De-seasonalisation
Trend estimates and trend differences
Results
Simulations
Discussion and conclusions
Full Text
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