Conveners
Modelling and Parameterising Deep Convective Organisation: Interactive Session
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Modelling and Parameterising Deep Convective Organisation: Guiding Questions
- Douglas Parker (University of Leeds)
- Mitchell Moncrieff (Climate & Global Dynamics Laboratory, NCAR)
- Brian Mapes (University of Miami/RSMAS, Miami, FL)
- J. David Neelin (University of California, Los Angeles)
- Cathy Hohenegger (Max Planck Institute for meteorology)
- Ronald Dickman (UFMG)
Modelling and Parameterising Deep Convective Organisation: Panel Discussion
- Brian Mapes (University of Miami/RSMAS, Miami, FL)
- Douglas Parker (University of Leeds)
- Mitchell Moncrieff (Climate & Global Dynamics Laboratory, NCAR)
- J. David Neelin (University of California, Los Angeles)
- Ronald Dickman (UFMG)
- Cathy Hohenegger (Max Planck Institute for meteorology)
Modelling and Parameterising Deep Convective Organisation: Poster Pitches
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Modelling and Parameterising Deep Convective Organisation: Introduction
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Fiaz Ahmed (University of California, Los Angeles)05/05/2021, 16:00Modelling and Parameterising Deep Convective OrganisationInteractive presentation
Tropical convective organization in space is here addressed by examining precipitation clusters — spatially continuous regions exceeding a threshold precipitation. The probability distributions of the area and of the cluster power — the total rainfall integrated over the cluster — follow a power law (with slope ~ -1.5) bounded by a large-event cutoff. We show how a minimal stochastic model of...
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Steven Krueger (University of Utah)05/05/2021, 16:00Modelling and Parameterising Deep Convective OrganisationInteractive presentation
The DYAMOND (DYnamics of the Atmospheric general circulation Modeled On Non-hydrostatic Domains) project produced simulations of forty days, beginning 1 August 2016, using global models with a cloud-system resolving grid spacing of 5 km or less. How might we use this set of simulations to learn more about the effects of cold pools on convection?
We have developed a global (tropical ocean)...
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Reyk Börner (Atmospheric Complexity, Niels Bohr Institute)05/05/2021, 16:00Modelling and Parameterising Deep Convective OrganisationInteractive presentation
Which processes cause and maintain convective organization in the tropics? Recent cloud-resolving simulations indicate that, compared to studies performed under radiative convective equilibrium, a diurnally varying boundary surface substantially changes the spatiotemporal patterns of convection. To better understand feedbacks between the atmosphere and an interactive ocean requires an accurate...
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Romain Fiévet (Niels Bohr Institute)05/05/2021, 16:00Modelling and Parameterising Deep Convective OrganisationInteractive presentation
In state-of-the art cloud-resolving models, convective self-aggregation (CSA) finds itself consistently hampered by finer horizontal resolutions [Muller & Held (2012), Yanase et al. (2020)]. This feature was ascribed to the effect of cold pool (CP) gust fronts in opposing the positive moisture feedback underlying CSA [Jeevanjee & Romps (2013)]. Further, recent numerical experiments [Haerter et...
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Steven Boeing (University of Leeds)05/05/2021, 16:00Modelling and Parameterising Deep Convective OrganisationInteractive presentation
The Moist Parcel-In-Cell (MPIC) model provides an essentially Lagrangian approach to moist convection. In this approach, parcels represent both the thermodynamic and the dynamical prognostic properties of the flow. The parcels have a finite volume and carry part of the circulation and thermodynamic attributes (liquid water potential temperature and total water content).
The representation...
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Geert Lenderink (KNMI and TUD)05/05/2021, 16:00Modelling and Parameterising Deep Convective OrganisationInteractive presentation
Dependencies of observed (sub)hourly rainfall on near surface dew point temperature show relations exceeding the Clausius-Clapeyron relation. Those so-called super CC scaling rates can be only sustained when sufficient moisture is provided to cloud systems by dynamical feedbacks. Large eddy simulation clearly show a tendency to produce large cloud structures under warmer conditions, and cold...
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Irene Livia Kruse (NBI)05/05/2021, 16:00Modelling and Parameterising Deep Convective OrganisationInteractive presentation
Mesoscale convective systems (MCSs), long-lived clusters of convective cells spanning more than 100 km in diameter, are known to be the dominant source of rainfall in the tropics, and the longest-lived clusters are shown to be largely responsible for tropical extreme precipitation. These systems are known to be organized and maintained by the atmospheric characteristics needed for deep...
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Lisa Schielicke05/05/2021, 16:00Modelling and Parameterising Deep Convective OrganisationInteractive presentation
In this work, we will present a vortex identification method that is able to identify vortices
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in different data sets of various grid spacings from global reanalysis data to convection-permitting small scale simulations. The method is based on a kinematic analysis of the flow field using the dimensionless kinematic vorticity number Wk. Wk identifies and extracts vortex areas or vortex tubes... -
Ms Enora Le Gall (Ecole Normale Supérieure, Paris)05/05/2021, 16:00RCE and Processes in Deep Convective OrganizationInteractive presentation
Past work with numerical models has suggested that convectively generated cold pools can play a fundamental role in the triggering of new convection, even in situations of low wind shear, through their determination of the boundary layer moisture field (although cold pool collisions can still add a dynamic element to this thermodynamic picture). The models show cold pool spreading until they...
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Cornelia Klein (UK Centre for Ecology and Hydrology | University of Innsbruck, Austria)05/05/2021, 16:00Modelling and Parameterising Deep Convective OrganisationInteractive presentation
Characteristics of the land surface affect cloud development and growth through changes in heating and moistening of the lower troposphere, affecting convective stability and inducing mesoscale circulations in areas of differential heating. Our understanding of the degree to which the land surface may affect and spatio-temporally structure organised convection is still limited and...
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Mitchell Moncrieff (Senior Scientist (emeritus))05/05/2021, 16:00Modelling and Parameterising Deep Convective OrganisationInteractive presentation
The enormous exchange of energy during transitions between the three phases of water and the dominance of convection as a transport process are fundamental to Earth’s weather and climate. Moist convection organizes into mesoscale systems (MCSs) but, being neither parameterized nor adequately resolved, MCSs are missing from contemporary global climate models (GCMs). This long-standing...
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Ronald Dickman (UFMG)05/05/2021, 16:00Modelling and Parameterising Deep Convective OrganisationInteractive presentation
Power-law distributions in nature pose a challenge for statistical physics. The paradigm of self-organized criticality (SOC), introduced by Per Bak and coworkers [1], might resolve this puzzle. SOC shows how scale-free event-size and duration distributions can arise in the apparent absence of tuning parameters, in a system of many interacting entities, each having a threshold for relaxation,...
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Jan Haerter (Niels Bohr Institute, Copenhagen University)05/05/2021, 16:00Modelling and Parameterising Deep Convective OrganisationInteractive presentation
Typical explanations for convective self-aggregation invoke radiative convective equilibrium and free tropospheric feedbacks of circulation and radiation, caused by horizontal moisture inhomogeneities. We here show, that these feedbacks would not be needed when considering that cold pools interact. Building a simple model for this interaction, where the probability for new convective cells is...
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Christopher Moseley (Department of Atmospheric Sciences, National Taiwan University, Taipei 10617, Taiwan)05/05/2021, 16:00Modelling and Parameterising Deep Convective OrganisationInteractive presentation
We analyze a single diurnal cycle simulated by the two large eddy simulation (LES) models UCLA-LES and the vector vorticity model VVM in an idealized setup, which show precipitating deep convection in the course of the afternoon. Both models use the same initial conditions, horizontal and vertical grid, but show significant differences in the total amount of precipitation, and in the size of...
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Gorm Gruner Jensen (Atmospheric Complexity, NBI, Uni. Copenhagen)05/05/2021, 16:00Modelling and Parameterising Deep Convective OrganisationInteractive presentation
Convective self-aggregation (CSA) has attracted a lot of attention as a possible explanation for large scale tropiccal weather phenomena such as the Madden-Julian oscillation and cyclo-genesis. However, CSA is hampered in the realistic limit of fine model resolution when cold pools---dense air masses beneath thunderstorm clouds---are well-resolved.
Here we mimic the diurnal cycle in...
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Mr Chun-Yian Su (Department of Atmospheric Sciences, National Taiwan University)05/05/2021, 16:00Modelling and Parameterising Deep Convective OrganisationInteractive presentation
The unified parameterization (UP) is a framework that physically adjusts the precipitation partition between the parameterized convection and the grid-scale processes based on the convective updraft fraction. This study investigates the effects of the UP on the diurnal cycle of precipitation over land in the Maritime Continent using an atmospheric general circulation model at the spatial...
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Hannah Christensen (University of Oxford)05/05/2021, 16:00Modelling and Parameterising Deep Convective OrganisationInteractive presentation
Recent years have seen an increase in the production of global convection-resolving (or at least convection-permitting) atmospheric simulations. These simulations are very realistic when compared to observations. A good example of this can be seen in images of simulated cloud condensate fields, rendered in such a way that they can be directly compared to satellite images of the Earth (e.g. Fig...
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Prof. J. David Neelin (University of California, Los Angeles)05/05/2021, 16:00Modelling and Parameterising Deep Convective OrganisationInteractive presentation
Relatively simple mathematical models derived from climate model equations can yield insight into how the characteristic form of probability distributions arise for different measures of precipitation, including event accumulations, time averaged intensities and spatial clusters. Stochastic differential equations for moisture and energy equations under reasonable approximations yield...
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Fabian Senf (Leibniz Institute for Tropospheric Research)05/05/2021, 16:00Modelling and Parameterising Deep Convective OrganisationInteractive presentation
Understanding the spatial correlations and interactions between tropical clouds remains a challenge for climate research. Here, we develop and apply an analysis that treats deep convective updrafts in the Tropical Atlantic like interacting particles. We discuss how far we can reproduce our findings with simplified equilibrium statistics and which possible routes towards open, non-equilibrium...
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Rituparna Sarkar (Indian Institute of Tropical Meteorology)05/05/2021, 16:00Modelling and Parameterising Deep Convective OrganisationInteractive presentation
Every year during premonsoon season, the eastern parts of the Indian subcontinent experiences severe thunderstorms. These mesoscale convective storms are locally known as ‘Kalbaishakhi’ or ‘nor’westers’. To forecast these organized storms with sufficient lead time it is important to know the convective initiation processes responsible for triggering these organized cloud formations. ARW-WRF...
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Mirjana Sakradzija (Max Planck Institute for Meteorology)Organisation in Shallow ConvectionInteractive presentation
The focus of my talk will be on the interaction between parameterized shallow convection and resolved deep convection in convection-permitting simulations. The shallow convection is parameterized by a stochastic approach that uses a uniform spatial distribution of clouds, so no convective organization is represented at the subgrid scales. Nevertheless, such stochastic shallow convection...
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