the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Dry and warm conditions in Australia exacerbated by aerosol reduction in China
Abstract. A substantial decline in anthropogenic aerosols in China has been observed since the initiation of clean air actions in 2013. Concurrently, Australia experienced anomalously dry and warm conditions in 2010s. This study reveals a linkage between aerosol reductions in China and the drying and warming trends in Australia during 2013–2019 based on aerosol-climate model simulations and multi-source observations. Aerosol decline in China triggered alterations in temperature and pressure gradients between the two hemispheres, leading to intensified outflow from Asia towards the South Indian Ocean, strengthening the Southern Indian Subtropical High and its related Southern Trade Winds. Consequently, this atmospheric pattern resulted in a moisture divergence over Australia. The reduction in surface moisture further resulted in more surface energy being converted into sensible heat instead of evaporating as latent heat, warming the near-surface air. Aerosol reductions in China are found to contribute to 19 % of the observed decreases in precipitation and relative humidity and 8 % of the increase in surface air temperature in Australia during 2013–2019. The intensified dry and warm climate conditions during 2013–2019 further explain 12 %–19 % of the increase in wildfire risks during fire seasons in Australia. Our study illuminates the impact of distant aerosols on precipitation and temperature variations in Australia, offering valuable insights for drought and wildfire risk mitigation in Australia.
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Status: open (until 04 Jan 2025)
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RC1: 'Comment on egusphere-2024-3399', Anonymous Referee #1, 13 Dec 2024
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Please see my comments in the attached PDF.
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RC2: 'Comment on egusphere-2024-3399', Anonymous Referee #2, 18 Dec 2024
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The manuscript investigates the role of the recent decline in East Asian anthropogenic aerosols in driving precipitation and temperature changes across Australia. The authors highlight the potential for aerosols to contribute to enhancing the fire risk via widespread drying and warming. The topic is timely and very important, as not many studies have examined the influence of recent changes in aerosols on recent climate variations. However, I find several major weaknesses in the study, including in the simulation design, that prevent the manuscript from being acceptable for ACPD. Unfortunately, I need to recommend a rejection. Happy though to reconsider the manuscript if reviewed accordingly.
Major comments:
I believe there is a serious overinflation of the recent observed rainfall changes over Australia. Firstly, the authors use observations and plot linear trends from 2010, while model results are shown as 3-year differences from 2013. While the latter accounts for the decline in aerosols, observations show that the years 2010 and 2011 were anomalously wet over Australia, and just a couple of years before rainfall was much less (I have checked by plotting observations since 2000). This can also be inferred by examining Fig 2, where clearly the trend in panel d is affected by the two early years. By eye, using 3-year composites from 2013, the rainfall changes are very modest. Looking at more recent years, it turns out that 2019 was also anomalously dry, and more recent years (excluding those affected by COVID-related reduced emissions) show a recovery. Therefore the results based on observations, which ultimately is the motivation of the study, are strongly affected by the extremely short record and cannot be trusted.
Related to the point above, it is not surprising that observed circulation trends (e.g., Fig. S18) are extremely weak. Yet, this is the mechanism driving Australian rainfall changes, thus is central to the proposed aerosol influence.
The model analysis is also weak in the sense that 3-year composites are extremely short to identify forced trends. In addition, observed trends should be first compared to those from a control simulation and the contribution of aerosols should be related to the model world, not observations.
Another major weakness is the experimental design. The authors examine long-term changes coming from equilibrium runs, which are far from representing the actual transient response over 10 years or so. This is likely far from being in equilibrium. I would have seen large-ensemble transient simulations with time-varying aerosols (2013-2024 for example) as more appropriate and suitable.
Trends or changes should always be plotted with the related statistical significance, such as in Figs. 1 and 2.
Fig 3: I think it would be more appropriate to display the divergent wind, rather than the total wind.
Citation: https://doi.org/10.5194/egusphere-2024-3399-RC2
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