ArticleProceedings of the National Academy of Sciences of the United States of America2020
Dry and moist dynamics shape regional patterns of extreme precipitation sensitivity.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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4 citing papers in PubMed, 75 citations in OpenAlex.
- Shifts in precipitation regimes exacerbate global inequality in grassland nitrogen cycles.Nature communications · 2025Article
- Increasing certainty in projected local extreme precipitation change.Nature communications · 2025Article
- Constraints on regional projections of mean and extreme precipitation under warming.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Storyline attribution of human influence on a record-breaking spatially compounding flood-heat event.Science advances · 2023Article
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Authors and funding
3 authors at 2 institutions in 2 countries.
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No grant is acknowledged in the PubMed record.
Abstract
Responses of extreme precipitation to global warming are of great importance to society and ecosystems. Although observations and climate projections indicate a general intensification of extreme precipitation with warming on global scale, there are significant variations on the regional scale, mainly due to changes in the vertical motion associated with extreme precipitation. Here, we apply quasigeostrophic diagnostics on climate-model simulations to understand the changes in vertical motion, quantifying the roles of dry (large-scale adiabatic flow) and moist (small-scale convection) dynamics in shaping the regional patterns of extreme precipitation sensitivity (EPS). The dry component weakens in the subtropics but strengthens in the middle and high latitudes; the moist component accounts for the positive centers of EPS in the low latitudes and also contributes to the negative centers in the subtropics. A theoretical model depicts a nonlinear relationship between the diabatic heating feedback (α) and precipitable water, indicating high sensitivity of α (thus, EPS) over climatological moist regions. The model also captures the change of α due to competing effects of increases in precipitable water and dry static stability under global warming. Thus, the dry/moist decomposition provides a quantitive and intuitive explanation of the main regional features of EPS.
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