Large eddy simulation using the general circulation model<scp>ICON</scp>

Dipankar, Anurag; Stevens, Björn; Heinze, Rieke; Moseley, Christopher; Zängl, Günther; Giorgetta, Marco; Brdar, Slavko

doi:10.1002/2015ms000431

Cited by 193 publications

(235 citation statements)

References 61 publications

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“…Such simulations, and the related observational data, are still very limited in terms of spatial and temporal coverage (e.g., Dipankar, 2015). We do not have sufficient amount of new, high-resolution data to analyze these processes or evaluate parameterizations.…”

Section: Empirical Estimate Of σ Umentioning

confidence: 99%

Quantifying the impact of sub-grid surface wind variability on sea salt and dust emissions in CAM5

et al. 2016

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Abstract. This paper evaluates the impact of sub-grid variability of surface wind on sea salt and dust emissions in the Community Atmosphere Model version 5 (CAM5). The basic strategy is to calculate emission fluxes multiple times, using different wind speed samples of a Weibull probability distribution derived from model-predicted grid-box mean quantities.In order to derive the Weibull distribution, the sub-grid standard deviation of surface wind speed is estimated by taking into account four mechanisms: turbulence under neutral and stable conditions, dry convective eddies, moist convective eddies over the ocean, and air motions induced by mesoscale systems and fine-scale topography over land. The contributions of turbulence and dry convective eddy are parameterized using schemes from the literature. Wind variabilities caused by moist convective eddies and fine-scale topography are estimated using empirical relationships derived from an operational weather analysis data set at 15 km resolution. The estimated sub-grid standard deviations of surface wind speed agree well with reference results derived from 1 year of global weather analysis at 15 km resolution and from two regional model simulations with 3 km grid spacing.The wind-distribution-based emission calculations are implemented in CAM5. In terms of computational cost, the increase in total simulation time turns out to be less than 3 %. Simulations at 2 • resolution indicate that sub-grid wind variability has relatively small impacts (about 7 % increase) on the global annual mean emission of sea salt aerosols, but considerable influence on the emission of dust. Among the considered mechanisms, dry convective eddies and mesoscale flows associated with topography are major causes of dust emission enhancement. With all the four mechanisms included and without additional adjustment of uncertain parameters in the model, the simulated global and annual mean dust emission increase by about 50 % compared to the default model. By tuning the globally constant dust emission scale factor, the global annual mean dust emission, aerosol optical depth, and top-of-atmosphere radiative fluxes can be adjusted to the level of the default model, but the frequency distribution of dust emission changes, with more contribution from weaker wind events and less contribution from stronger wind events. In Africa and Asia, the overall frequencies of occurrence of dust emissions increase, and the seasonal variations are enhanced, while the geographical patterns of the emission frequency show little change.

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Section: Empirical Estimate Of σ Umentioning

confidence: 99%

Quantifying the impact of sub-grid surface wind variability on sea salt and dust emissions in CAM5

et al. 2016

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“…The two-moment cloud microphysics scheme has been used within the framework of the HD(CP) 21 project to produce LES simulation data for the evaluation and benchmarking of ICON-LES (Dipankar et al, 2015). Figure 6 contains a snapshot from such a benchmark simulation, where three continuous days were simulated.…”

Section: Recent Applicationsmentioning

confidence: 99%

The Parallelized Large-Eddy Simulation Model (PALM) version 4.0 for atmospheric and oceanic flows: model formulation, recent developments, and future perspectives

et al. 2015

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Abstract. In this paper we present the current version of the Parallelized Large-Eddy Simulation Model (PALM) whose core has been developed at the Institute of Meteorology and Climatology at Leibniz Universität Hannover (Germany). PALM is a Fortran 95-based code with some Fortran 2003 extensions and has been applied for the simulation of a variety of atmospheric and oceanic boundary layers for more than 15 years. PALM is optimized for use on massively parallel computer architectures and was recently ported to general-purpose graphics processing units. In the present paper we give a detailed description of the current version of the model and its features, such as an embedded Lagrangian cloud model and the possibility to use Cartesian topography. Moreover, we discuss recent model developments and future perspectives for LES applications.

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“…1b. A discussion of the effective resolution of such grids is given in Dipankar et al (2015). The ICON grid generator further allows for inset regional grids, produced by additional refinement steps that are only applied over a limited region or set of regions.…”

Section: Icosahedral (Triangular) Gridmentioning

confidence: 99%

DCMIP2016: a review of non-hydrostatic dynamical core design and intercomparison of participating models

et al. 2017

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Abstract. Atmospheric dynamical cores are a fundamental component of global atmospheric modeling systems and are responsible for capturing the dynamical behavior of the Earth's atmosphere via numerical integration of the NavierStokes equations. These systems have existed in one form or another for over half of a century, with the earliest discretizations having now evolved into a complex ecosystem of algorithms and computational strategies. In essence, no two dynamical cores are alike, and their individual successes suggest that no perfect model exists. To better understand modern dynamical cores, this paper aims to provide a comprehensive review of 11 non-hydrostatic dynamical cores, drawn from modeling centers and groups that participated in the 2016 Dynamical Core Model Intercomparison Project (DCMIP) workshop and summer school. This review includes a choice of model grid, variable placement, vertical coordinate, prognostic equations, temporal discretization, and the diffusion, stabilization, filters, and fixers employed by each system.

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Large eddy simulation using the general circulation modelICON

Cited by 193 publications

References 61 publications

Quantifying the impact of sub-grid surface wind variability on sea salt and dust emissions in CAM5

Quantifying the impact of sub-grid surface wind variability on sea salt and dust emissions in CAM5

The Parallelized Large-Eddy Simulation Model (PALM) version 4.0 for atmospheric and oceanic flows: model formulation, recent developments, and future perspectives

DCMIP2016: a review of non-hydrostatic dynamical core design and intercomparison of participating models

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