Abstract

We demonstrate that summer precipitation biases in the South Asian monsoon domain are sensitive to increasing the convective parametrization's entrainment and detrainment rates in the Met Office Unified Model. We explore this sensitivity to improve our understanding of the biases and inform efforts to improve convective parametrization. We perform novel targeted experiments in which we increase the entrainment and detrainment rates in regions of especially large precipitation bias. We use these experiments to determine whether the sensitivity at a given location is a consequence of the local change to convection or is a remote response to the change elsewhere. We find that a local change leads to different mean‐state responses in comparable regions. When the entrainment and detrainment rates are increased globally, feedbacks between regions usually strengthen the local responses. We choose two regions of tropical ascent that show different mean‐state responses, the western equatorial Indian Ocean and western north Pacific, and analyse them as case‐studies to determine the mechanisms leading to the different responses. Our results indicate that several aspects of a region's mean state, including moisture content, sea surface temperature and circulation, play a role in local feedbacks which determine the response to increased entrainment and detrainment.

Highlights

  • The Asian monsoon is one of the most significant global manifestations of the seasonal cycle

  • We address the impact of changing convective entrainment and detrainment rates on seasonal mean Asian monsoon precipitation biases in the Met Office Unified Model (MetUM, section 2)

  • Following a study by Klingaman and Woolnough (2014), which showed that multiplying the entrainment factor, F, by 1.5 greatly improved the MetUM’s tropical intraseasonal variability, we investigate the effects of 1.5F on the mean state of the Asian summer monsoon

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Summary

Introduction

The Asian monsoon is one of the most significant global manifestations of the seasonal cycle. In India, the summer monsoon provides nearly 80% of the total annual rainfall. Changes in the timing and intensity of the monsoon have direct socio-economic impacts in South Asia. Reliable dynamical models are essential for improving our understanding and prediction of monsoon rainfall and circulation. While most general circulation models (GCMs) capture the overall seasonal migration of tropical rain, fidelity in representing the detailed spatial, interannual and intraseasonal variation of Asian monsoon precipitation remains low (Randall et al, 2007; Annamalai et al, 2007; Sperber et al, 2013). We address the impact of changing convective entrainment and detrainment rates on seasonal mean Asian monsoon precipitation biases in the Met Office Unified Model (MetUM, section 2)

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