Abstract

Abstract. Water vapour (H2O) in the upper troposphere and lower stratosphere (UTLS) has a significant role for global radiation. A realistic representation of H2O is therefore critical for accurate climate model predictions of future climate change. In this paper we investigate the effects of current uncertainties in tropopause temperature, horizontal transport and small-scale mixing on simulated H2O in the lower stratosphere (LS). To assess the sensitivities of simulated H2O, we use the Chemical Lagrangian Model of the Stratosphere (CLaMS). First, we examine CLaMS, which is driven by two reanalyses, from the European Centre of Medium-Range Weather Forecasts (ECMWF) ERA-Interim and the Japanese 55-year Reanalysis (JRA-55), to investigate the robustness with respect to the meteorological dataset. Second, we carry out CLaMS simulations with transport barriers along latitude circles (at the Equator, 15 and 35∘ N/S) to assess the effects of horizontal transport. Third, we vary the strength of parametrized small-scale mixing in CLaMS. Our results show significant differences (about 0.5 ppmv) in simulated stratospheric H2O due to uncertainties in the tropical tropopause temperatures between the two reanalysis datasets, JRA-55 and ERA-Interim. The JRA-55 based simulation is significantly moister when compared to ERA-Interim, due to a warmer tropical tropopause (approximately 2 K). The transport barrier experiments demonstrate that the Northern Hemisphere (NH) subtropics have a strong moistening effect on global stratospheric H2O. The comparison of tropical entry H2O from the sensitivity 15∘ N/S barrier simulation and the reference case shows differences of up to around 1 ppmv. Interhemispheric exchange shows only a very weak effect on stratospheric H2O. Small-scale mixing mainly increases troposphere–stratosphere exchange, causing an enhancement of stratospheric H2O, particularly along the subtropical jets in the summer hemisphere and in the NH monsoon regions. In particular, the Asian and American monsoon systems during a boreal summer appear to be regions especially sensitive to changes in small-scale mixing, which appears crucial for controlling the moisture anomalies in the monsoon UTLS. For the sensitivity simulation with varied mixing strength, differences in tropical entry H2O between the weak and strong mixing cases amount to about 1 ppmv, with small-scale mixing enhancing H2O in the LS. The sensitivity studies presented here provide new insights into the leading processes that control stratospheric H2O, which are important for assessing and improving climate model projections.

Highlights

  • Stratospheric water vapour (H2O) plays a critical role in global radiation, as it cools the stratosphere and warms the troposphere (e.g. Forster and Shine, 1999, 2002; Shindell, 2001; Nowack et al, 2015)

  • We investigate the uncertainties of modelled H2O in the lower stratosphere (LS) with respect to two meteorological datasets, ERA-Interim and JRA55 (e.g. Dee et al, 2011; Kobayashi et al, 2015; Manney et al, 2017; Davis et al, 2017; Manney and Hegglin, 2018), that are used to drive transport and freeze drying, horizontal transport between tropics and extratropics, and small-scale mixing in the Chemical Lagrangian Model of the Stratosphere (CLaMS)

  • The CLaMS simulation driven with JRA-55 shows moister values in the tropical tropopause layer (TTL) compared to the ERA-Interim simulation, which aligns with the recent findings of Davis et al (2017)

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Summary

Introduction

Stratospheric water vapour (H2O) plays a critical role in global radiation, as it cools the stratosphere and warms the troposphere (e.g. Forster and Shine, 1999, 2002; Shindell, 2001; Nowack et al, 2015). Stratospheric water vapour (H2O) plays a critical role in global radiation, as it cools the stratosphere and warms the troposphere Changes in H2O mixing ratios in the upper troposphere and lower stratosphere (UTLS) may have significant effects on climate variability (Solomon et al, 2010; Riese et al, 2012; Maycock et al, 2013; Nowack et al, 2017). The reliability of climate model predictions is significantly affected by the representation of the processes controlling the distribution of strato-. There are a multitude of such critical processes, until now poorly understood and quantified, rendering the representation of stratospheric H2O a major uncertainty factor for global climate models (Gettelman et al, 2010; Randel and Jensen, 2013)

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