1. Estimated cloud-top entrainment index explains positive low-cloud-cover feedback
- Author
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Tsuyoshi Koshiro, Hideaki Kawai, and Akira T. Noda
- Subjects
Multidisciplinary ,Hot Temperature ,Global Warming ,Feedback ,Forecasting - Abstract
How subtropical marine low cloud cover (LCC) will respond to global warming is a major source of uncertainty in future climate change. Although the estimated inversion strength (EIS) is a good predictive index of LCC, it has a serious limitation when applied to evaluate LCC changes due to warming: The LCC decreases despite increases in EIS in future climate simulations of global climate models (GCMs). In this work, using state-of-the-art GCMs, we show that the recently proposed estimated cloud-top entrainment index (ECTEI) decreases consistently with LCC in warmer sea surface temperature (SST) climates. For the patterned SST warming predicted by coupled GCMs, ECTEI can constrain the subtropical marine LCC feedback to –0.41 ± 0.28% K −1 (90% CI), implying virtually certain positive feedback. ECTEI physically explains the heuristic model for LCC changes based on a linear combination of EIS and SST changes in previous studies in terms of cloud-top entrainment processes.
- Published
- 2023