The Rapid Transition From Shallow to Precipitating Convection as a Predator–Prey Process

Abstract Properly predicting the rapid transition from shallow to precipitating atmospheric convection within a diurnal cycle over land is of great importance for both weather prediction and climate projections. In this work, we consider that a cumulus cloud is formed due to the transport of water mass by multiple updrafts during its lifetime. Cumulus clouds then locally create favorable conditions for the subsequent convective updrafts to reach higher altitudes, leading to deeper precipitating convection. This mechanism is amplified by the cold pools formed by the evaporation of precipitation in the sub‐cloud layer. Based on this conceptual view of cloud–cloud interactions which goes beyond the one cloud equals one–plume picture, it is argued that precipitating clouds may act as predators that prey on the total cloud population, such that the rapid shallow–to–deep transition can be modeled as a simple predator–prey system. This conceptual model is validated by comparing solutions of the Lotka‐Volterra system of equations to results obtained using a high‐resolution large‐eddy simulation model. Moreover, we argue that the complete diurnal cycle of deep convection can be seen as a predator–prey system with varying food supply for the prey. Finally, we suggest that based on the present conceptual model, new unified cloud‐convection parameterizations can be designed which may lead to improved representations of the transition from shallow to precipitating continental convection.

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Publication Details

Journal
Journal of Advances in Modeling Earth Systems
Published
2025-02-01
DOI
https://doi.org/10.1029/2024ms004630
Citations
1
Primary Topic
Meteorological Phenomena and Simulations
Type
article
Field-Weighted Citation Impact
1.30

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article

The Rapid Transition From Shallow to Precipitating Convection as a Predator–Prey Process

Maxime Colin, Julien Savre, Cristian V. Vraciu
1 citations
Journal of Advances in Modeling Earth Systems
Meteorological Phenomena and Simulations
1.30
article

The Rapid Transition From Shallow to Precipitating Convection as a Predator–Prey Process

Maxime Colin, Julien Savre, Cristian V. Vraciu
article en
1 citations

Abstract

Abstract Properly predicting the rapid transition from shallow to precipitating atmospheric convection within a diurnal cycle over land is of great importance for both weather prediction and climate projections. In this work, we consider that a cumulus cloud is formed due to the transport of water mass by multiple updrafts during its lifetime. Cumulus clouds then locally create favorable conditions for the subsequent convective updrafts to reach higher altitudes, leading to deeper precipitating convection. This mechanism is amplified by the cold pools formed by the evaporation of precipitation in the sub‐cloud layer. Based on this conceptual view of cloud–cloud interactions which goes beyond the one cloud equals one–plume picture, it is argued that precipitating clouds may act as predators that prey on the total cloud population, such that the rapid shallow–to–deep transition can be modeled as a simple predator–prey system. This conceptual model is validated by comparing solutions of the Lotka‐Volterra system of equations to results obtained using a high‐resolution large‐eddy simulation model. Moreover, we argue that the complete diurnal cycle of deep convection can be seen as a predator–prey system with varying food supply for the prey. Finally, we suggest that based on the present conceptual model, new unified cloud‐convection parameterizations can be designed which may lead to improved representations of the transition from shallow to precipitating continental convection.

Journal of Advances in Modeling Earth SystemsVol. 17(2)
University of Bucharest (RO), Leibniz Centre for Tropical Marine Research (DE), Horia Hulubei National Institute for R and D in Physics and Nuclear Engineering (RO), Ludwig-Maximilians-Universität München (DE)
Ministerul Cercetării, Inovării şi Digitalizării
Openalex Percentile: Top 26%
Meteorological Phenomena and Simulations
1.30
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