Towards Unifying the Planetary Boundary Layer and Shallow Convection in CAM5 with the Eddy-Diffusivity/Mass-Flux Approach

Kurowski, Marcin J.; Thrastarson, H. Th.; Sušelj, K.; Teixeira, J.

doi:10.3390/atmos10090484

Cited by 8 publications

(9 citation statements)

References 36 publications

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“…Villalba-Pradas and F. J. Tapiador: Empirical values and assumptions in convection schemes Niino (MYNN) ED component. Kurowski et al (2019) implemented a stochastic multi-plume EDMF scheme into CAM5, and Sakradzija et al (2016) coupled Sakradzija et al (2015) to EDMF in ICON. Several NWP models have included EDMF approaches, i.e., ECMWF (Köhler, 2005;Köhler et al, 2011), AROME (Pergaud et al, 2009), NCEP GFS (J.…”

Section: Unified Modelsmentioning

confidence: 99%

Empirical values and assumptions in the convection schemes of numerical models

Villalba-Pradas

Tapiador

2022

Geosci. Model Dev.

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Abstract. Convection influences climate and weather events over a wide range of spatial and temporal scales. Therefore, accurate predictions of the time and location of convection and its development into severe weather are of great importance. Convection has to be parameterized in global climate models and Earth system models as the key physical processes occur at scales much lower than the model grid size. This parameterization is also used in some numerical weather prediction (NWP) models when convection is not explicitly resolved. The convection schemes described in the literature represent the physics by simplified models that require assumptions about the processes and the use of a number of parameters based on empirical values. These empirical values and assumptions are rarely discussed in the literature. The present paper examines these choices and their impacts on model outputs and emphasizes the importance of observations to improve our current understanding of the physics of convection. The focus is mainly on the empirical values and assumptions used in the activation of convection (trigger), the transport and microphysics (commonly referred to as the cloud model), and the intensity of convection (closure). Such information can assist satellite missions focused on elucidating convective processes (e.g., the INCUS mission) and the evaluation of model output uncertainties due to spatial and temporal variability of the empirical values embedded into the parameterizations.

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Section: Unified Modelsmentioning

confidence: 99%

Empirical values and assumptions in the convection schemes of numerical models

Villalba-Pradas

Tapiador

2022

Geosci. Model Dev.

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“…Using this approach, an attempt will be made to obtain a functional dependence of the eddy transport characteristics on large-scale ocean thermodynamical characteristics using the Kara Sea shelf model in the Arctic as an example. In recent studies a similar approach was used in [16] and [17,18] but the eddy-diffusivity/mass-flux approach (EDMF) was used to parameterize convection and planetary boundary layer in atmospheric models.…”

Section: Of 27mentioning

confidence: 99%

Parameterization of Eddy Mass Transport in the Arctic Seas based on the Sensitivity Analysis of Large-scale Flows

Platov¹,

Iakshina²,

Голубева³

2022

Preprint

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The characteristics of the eddy mass transport are estimated depending on the values of the parameters of a large-scale flow that forms under the conditions of the shelf seas in the Arctic. For this, the results of numerical simulation of the Kara Sea with a horizontal resolution permitting the development of mesoscale eddies are used. The parameters resulting from numerical experiment are considered as a statistical sample and are analyzed using methods of sensitivity study and clustering of sample elements. Functional dependencies are obtained that are closest to the simulated distributions of quantities. These expressions make it possible, within the framework of large-scale models, to evaluate the characteristics of the cross-isobatic eddy mass transport in the diffusion approximation with a counter-gradient flux. Numerical experiments using the SibCIOM model showed that areas along the Fram branch of the Atlantic waters trajectory in the Arctic as well as the shelf of the East Siberian and Laptev seas with adjacent deep water areas are most sensitive to proposed parameterization of eddy exchanges. Accounting for counter-gradient eddy fluxes turned out to be less important.

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“…Although the precipitating EDMF version is somewhat complex, especially in comparison with its nonprecipitating version, it is still fairly computational efficient, making it a strong parameterization candidate for any GCM. Several EDMF versions have been successfully implemented and evaluated in both climate GCMs (Kurowski et al, 2019b;Witte et al, 2022) and operational numerical weather prediction models (e.g., Kohler et al, 2011;Suselj et al, 2014Suselj et al, , 2021Han et al, 2016;Olson et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

Improving the representation of shallow cumulus convection with the simplified-higher-order-closure–mass-flux (SHOC+MF v1.0) approach

et al. 2023

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Abstract. Parameterized boundary layer turbulence and moist convection remain some of the largest sources of uncertainty in general circulation models. High-resolution climate modeling aims to reduce that uncertainty by explicitly attempting to resolve deep moist convective motions. An example of such a model is the Simple Cloud-Resolving E3SM Atmosphere Model (SCREAM) with a target global resolution of 3.25 km, allowing for a more accurate representation of complex mesoscale deep convective dynamics. Yet, small-scale planetary boundary layer turbulence and shallow convection still need to be parameterized, which in SCREAM is accomplished through the turbulent-kinetic-energy-based (TKE-based) simplified higher-order closure (SHOC) – a simplified version of the assumed-double-Gaussian-PDF (probability density function) higher-order-closure method. In this paper, we implement a stochastic-multiplume mass-flux (MF) parameterization of dry and shallow convection in SCREAM to go beyond the limitations of double-Gaussian-PDF closures and couple it to SHOC (SHOC+MF). The new parameterization implemented in a single-column model type version of SCREAM produces results for two shallow cumulus convection cases (marine and continental shallow convection) that agree well with the reference data from large-eddy simulations, thus improving the general representation of the thermodynamic quantities and their turbulent fluxes as well as cloud macrophysics in the model. Furthermore, SHOC+MF parameterization shows weak sensitivity to the vertical grid resolution and model time step.

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Towards Unifying the Planetary Boundary Layer and Shallow Convection in CAM5 with the Eddy-Diffusivity/Mass-Flux Approach

Cited by 8 publications

References 36 publications

Empirical values and assumptions in the convection schemes of numerical models

Empirical values and assumptions in the convection schemes of numerical models

Parameterization of Eddy Mass Transport in the Arctic Seas based on the Sensitivity Analysis of Large-scale Flows

Improving the representation of shallow cumulus convection with the simplified-higher-order-closure–mass-flux (SHOC+MF v1.0) approach

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