Mesoscale nesting interface of the PALM model system 6.0

Research output: Contribution to journalArticleResearchpeer review

Authors

  • Eckhard Kadasch
  • Matthias Sühring
  • Tobias Gronemeier
  • Siegfried Raasch

External Research Organisations

  • Deutscher Wetterdienst (DWD)
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Details

Original languageEnglish
Pages (from-to)5435-5465
Number of pages31
JournalGeoscientific model development
Volume14
Issue number9
Publication statusPublished - 3 Sept 2021

Abstract

In this paper, we present a newly developed mesoscale nesting interface for the PALM model system 6.0, which enables PALM to simulate the atmospheric boundary layer under spatially heterogeneous and non-stationary synoptic conditions. The implemented nesting interface, which is currently tailored to the mesoscale model COSMO, consists of two major parts: (i) the preprocessor INIFOR (initialization and forcing), which provides initial and time-dependent boundary conditions from mesoscale model output, and (ii) PALM's internal routines for reading the provided forcing data and superimposing synthetic turbulence to accelerate the transition to a fully developed turbulent atmospheric boundary layer. We describe in detail the conversion between the sets of prognostic variables, transformations between model coordinate systems, as well as data interpolation onto PALM's grid, which are carried out by INIFOR. Furthermore, we describe PALM's internal usage of the provided forcing data, which, besides the temporal interpolation of boundary conditions and removal of any residual divergence, includes the generation of stability-dependent synthetic turbulence at the inflow boundaries in order to accelerate the transition from the turbulence-free mesoscale solution to a resolved turbulent flow. We demonstrate and evaluate the nesting interface by means of a semi-idealized benchmark case. We carried out a large-eddy simulation (LES) of an evolving convective boundary layer on a clear-sky spring day. Besides verifying that changes in the inflow conditions enter into and successively propagate through the PALM domain, we focus our analysis on the effectiveness of the synthetic turbulence generation. By analysing various turbulence statistics, we show that the inflow in the present case is fully adjusted after having propagated for about two to three eddy-turnover times downstream, which corresponds well to other state-of-the-art methods for turbulence generation. Furthermore, we observe that numerical artefacts in the form of grid-scale convective structures in the mesoscale model enter the PALM domain, biasing the location of the turbulent up- and downdrafts in the LES. With these findings presented, we aim to verify the mesoscale nesting approach implemented in PALM, point out specific shortcomings, and build a baseline for future improvements and developments.

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Mesoscale nesting interface of the PALM model system 6.0. / Kadasch, Eckhard; Sühring, Matthias; Gronemeier, Tobias et al.
In: Geoscientific model development, Vol. 14, No. 9, 03.09.2021, p. 5435-5465.

Research output: Contribution to journalArticleResearchpeer review

Kadasch, E, Sühring, M, Gronemeier, T & Raasch, S 2021, 'Mesoscale nesting interface of the PALM model system 6.0', Geoscientific model development, vol. 14, no. 9, pp. 5435-5465. https://doi.org/10.5194/gmd-14-5435-2021
Kadasch, E., Sühring, M., Gronemeier, T., & Raasch, S. (2021). Mesoscale nesting interface of the PALM model system 6.0. Geoscientific model development, 14(9), 5435-5465. https://doi.org/10.5194/gmd-14-5435-2021
Kadasch E, Sühring M, Gronemeier T, Raasch S. Mesoscale nesting interface of the PALM model system 6.0. Geoscientific model development. 2021 Sept 3;14(9):5435-5465. doi: 10.5194/gmd-14-5435-2021
Kadasch, Eckhard ; Sühring, Matthias ; Gronemeier, Tobias et al. / Mesoscale nesting interface of the PALM model system 6.0. In: Geoscientific model development. 2021 ; Vol. 14, No. 9. pp. 5435-5465.
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abstract = "In this paper, we present a newly developed mesoscale nesting interface for the PALM model system 6.0, which enables PALM to simulate the atmospheric boundary layer under spatially heterogeneous and non-stationary synoptic conditions. The implemented nesting interface, which is currently tailored to the mesoscale model COSMO, consists of two major parts: (i) the preprocessor INIFOR (initialization and forcing), which provides initial and time-dependent boundary conditions from mesoscale model output, and (ii) PALM's internal routines for reading the provided forcing data and superimposing synthetic turbulence to accelerate the transition to a fully developed turbulent atmospheric boundary layer. We describe in detail the conversion between the sets of prognostic variables, transformations between model coordinate systems, as well as data interpolation onto PALM's grid, which are carried out by INIFOR. Furthermore, we describe PALM's internal usage of the provided forcing data, which, besides the temporal interpolation of boundary conditions and removal of any residual divergence, includes the generation of stability-dependent synthetic turbulence at the inflow boundaries in order to accelerate the transition from the turbulence-free mesoscale solution to a resolved turbulent flow. We demonstrate and evaluate the nesting interface by means of a semi-idealized benchmark case. We carried out a large-eddy simulation (LES) of an evolving convective boundary layer on a clear-sky spring day. Besides verifying that changes in the inflow conditions enter into and successively propagate through the PALM domain, we focus our analysis on the effectiveness of the synthetic turbulence generation. By analysing various turbulence statistics, we show that the inflow in the present case is fully adjusted after having propagated for about two to three eddy-turnover times downstream, which corresponds well to other state-of-the-art methods for turbulence generation. Furthermore, we observe that numerical artefacts in the form of grid-scale convective structures in the mesoscale model enter the PALM domain, biasing the location of the turbulent up- and downdrafts in the LES. With these findings presented, we aim to verify the mesoscale nesting approach implemented in PALM, point out specific shortcomings, and build a baseline for future improvements and developments. ",
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N1 - Funding Information: Acknowledgements. This work is part of the [UC]2 project. Financial support was provided by the German Federal Ministry of Education and Research (BMBF) within the framework of Research for Sustainable Development (FONA; http://www.fona.de, last access: 13 August 2021), which is gratefully acknowledged. All simulations with PALM have been performed on the supercomputers of the North German Supercomputing Alliance (HLRN). We thank Heike Schau-Noppel and the three anonymous reviewers for their valuable comments on the manuscript.

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