Detecting Cold Pool Family Trees in Convection Resolving Simulations

Abstract Recent observations and modeling increasingly reveal the key role of cold pools in organizing the convective cloud field. Several methods for detecting cold pools in simulations exist, but are usually based on buoyancy fields and fall short of reliably identifying the active gust front. The...

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Main Authors: Jannik Hoeller, Romain Fiévet, Jan O. Haerter
Format: Article
Language:English
Published: American Geophysical Union (AGU) 2024-01-01
Series:Journal of Advances in Modeling Earth Systems
Subjects:
Online Access:https://doi.org/10.1029/2023MS003682
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author Jannik Hoeller
Romain Fiévet
Jan O. Haerter
author_facet Jannik Hoeller
Romain Fiévet
Jan O. Haerter
author_sort Jannik Hoeller
collection DOAJ
description Abstract Recent observations and modeling increasingly reveal the key role of cold pools in organizing the convective cloud field. Several methods for detecting cold pools in simulations exist, but are usually based on buoyancy fields and fall short of reliably identifying the active gust front. The current cold pool (CP) detection and tracking algorithm (CoolDeTA), aims to identify cold pools and follow them in time, thereby distinguishing their active gust fronts and the “offspring” rain cells generated nearby. To accomplish these tasks, CoolDeTA utilizes a combination of thermodynamic and dynamical variables and examines the spatial and temporal relationships between cold pools and rain events. We demonstrate that CoolDeTA can reconstruct CP family trees. Using CoolDeTA we can contrast radiative convective equilibrium (RCE) and diurnal cycle CP dynamics, as well as cases with vertical wind shear and without. We show that the results obtained are consistent with a conceptual model where CP triggering of children rain cells follows a simple birth rate, proportional to a CP's gust front length. The proportionality factor depends on the ambient atmospheric stability and is lower for RCE, in line with marginal stability as traditionally ascribed to the moist adiabat. In the diurnal case, where ambient stability is lower, the birth rate thus becomes substantially higher, in line with periodic insolation forcing—resulting in essentially run‐away mesoscale excitations generated by a single parent rain cell and its CP.
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spelling doaj.art-0f5cc91bcf9747d3933959b9ce1538532024-02-22T16:54:51ZengAmerican Geophysical Union (AGU)Journal of Advances in Modeling Earth Systems1942-24662024-01-01161n/an/a10.1029/2023MS003682Detecting Cold Pool Family Trees in Convection Resolving SimulationsJannik Hoeller0Romain Fiévet1Jan O. Haerter2Integrated Modeling Leibniz Centre for Tropical Marine Research Bremen GermanyNiels Bohr Institute Copenhagen University Copenhagen DenmarkIntegrated Modeling Leibniz Centre for Tropical Marine Research Bremen GermanyAbstract Recent observations and modeling increasingly reveal the key role of cold pools in organizing the convective cloud field. Several methods for detecting cold pools in simulations exist, but are usually based on buoyancy fields and fall short of reliably identifying the active gust front. The current cold pool (CP) detection and tracking algorithm (CoolDeTA), aims to identify cold pools and follow them in time, thereby distinguishing their active gust fronts and the “offspring” rain cells generated nearby. To accomplish these tasks, CoolDeTA utilizes a combination of thermodynamic and dynamical variables and examines the spatial and temporal relationships between cold pools and rain events. We demonstrate that CoolDeTA can reconstruct CP family trees. Using CoolDeTA we can contrast radiative convective equilibrium (RCE) and diurnal cycle CP dynamics, as well as cases with vertical wind shear and without. We show that the results obtained are consistent with a conceptual model where CP triggering of children rain cells follows a simple birth rate, proportional to a CP's gust front length. The proportionality factor depends on the ambient atmospheric stability and is lower for RCE, in line with marginal stability as traditionally ascribed to the moist adiabat. In the diurnal case, where ambient stability is lower, the birth rate thus becomes substantially higher, in line with periodic insolation forcing—resulting in essentially run‐away mesoscale excitations generated by a single parent rain cell and its CP.https://doi.org/10.1029/2023MS003682cold poolsdetectiontrackingcloud resolving simulationconvective organization
spellingShingle Jannik Hoeller
Romain Fiévet
Jan O. Haerter
Detecting Cold Pool Family Trees in Convection Resolving Simulations
Journal of Advances in Modeling Earth Systems
cold pools
detection
tracking
cloud resolving simulation
convective organization
title Detecting Cold Pool Family Trees in Convection Resolving Simulations
title_full Detecting Cold Pool Family Trees in Convection Resolving Simulations
title_fullStr Detecting Cold Pool Family Trees in Convection Resolving Simulations
title_full_unstemmed Detecting Cold Pool Family Trees in Convection Resolving Simulations
title_short Detecting Cold Pool Family Trees in Convection Resolving Simulations
title_sort detecting cold pool family trees in convection resolving simulations
topic cold pools
detection
tracking
cloud resolving simulation
convective organization
url https://doi.org/10.1029/2023MS003682
work_keys_str_mv AT jannikhoeller detectingcoldpoolfamilytreesinconvectionresolvingsimulations
AT romainfievet detectingcoldpoolfamilytreesinconvectionresolvingsimulations
AT janohaerter detectingcoldpoolfamilytreesinconvectionresolvingsimulations