Moist convective scaling: Insights from an idealised model

Agasthya LN, Muller CJ, Cheve M. 2024. Moist convective scaling: Insights from an idealised model. Quarterly Journal of the Royal Meteorological Society.

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OA https://doi.org/10.1002/qj.4902 [Published Version]

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Abstract
The response of clouds and moist-convective processes to heat loss to space by long-wave radiative cooling is an important feedback in the Earth's atmosphere. It is known that moist convection increases roughly in equilibrium with radiative cooling, an assumption often made in simplified models of the tropical atmosphere. In this study, we use an idealised two-dimensional model of the atmosphere introduced by Vallis et. al. and incorporate a bulk-cooling term, which is an idealisation of radiative cooling in the atmosphere. We comment briefly on the static stability of the system to dry and moist convection and characteris its moist convective response to changes in the bulk cooling. We find that, while the clear-sky regions of the model respond directly to the change in the cooling term, the regions dominated by moist convective plumes are insensitive to changes in cooling. Similar to previous findings from cloud-resolving models, we too find in our idealised setting that the majority of the increase in convection occurs via an increase in the areal coverage of convection, rather than its intensity. We argue that these small-scale convective processes are an upper bound on how quickly convective intensity can change to stay in equilibrium with radiative cooling.
Publishing Year
Date Published
2024-11-26
Journal Title
Quarterly Journal of the Royal Meteorological Society
Publisher
Wiley
Acknowledgement
The authors gratefully acknowledge the help of Julian Renaud and Alzbeta “Bety” Pechacova. Julian went through the relevant literature on the topic in the initial stages of the study in a very thorough manner and allowed the authors to understand the various types of idealised models that have been studied and the various approaches used. Bety ran simulations and performed analysis of the outputs of several simulations, which were crucial to bringing the article to its final form. The authors also acknowledge the input of Prof. Martin Singh (Monash University, Australia) and discussions with Gregory Dritschel, Prof. Steven Tobias, and Prof. Douglas Parker (Leeds University, United Kingdom). This project has received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No. 101034413. C. Muller gratefully acknowledges funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation program (Project CLUSTER, Grant Agreement No. 805041). This research was supported by the Scientific Service Units (SSU) of IST Austria through resources provided by Scientific Computing (SciComp).
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Agasthya LN, Muller CJ, Cheve M. Moist convective scaling: Insights from an idealised model. Quarterly Journal of the Royal Meteorological Society. 2024. doi:10.1002/qj.4902
Agasthya, L. N., Muller, C. J., & Cheve, M. (2024). Moist convective scaling: Insights from an idealised model. Quarterly Journal of the Royal Meteorological Society. Wiley. https://doi.org/10.1002/qj.4902
Agasthya, Lokahith N, Caroline J Muller, and Mathis Cheve. “Moist Convective Scaling: Insights from an Idealised Model.” Quarterly Journal of the Royal Meteorological Society. Wiley, 2024. https://doi.org/10.1002/qj.4902.
L. N. Agasthya, C. J. Muller, and M. Cheve, “Moist convective scaling: Insights from an idealised model,” Quarterly Journal of the Royal Meteorological Society. Wiley, 2024.
Agasthya LN, Muller CJ, Cheve M. 2024. Moist convective scaling: Insights from an idealised model. Quarterly Journal of the Royal Meteorological Society.
Agasthya, Lokahith N., et al. “Moist Convective Scaling: Insights from an Idealised Model.” Quarterly Journal of the Royal Meteorological Society, Wiley, 2024, doi:10.1002/qj.4902.
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