Articles | Volume 15, issue 4
https://doi.org/10.5194/gmd-15-1513-2022
https://doi.org/10.5194/gmd-15-1513-2022
Development and technical paper
 | 
21 Feb 2022
Development and technical paper |  | 21 Feb 2022

Model development in practice: a comprehensive update to the boundary layer schemes in HARMONIE-AROME cycle 40

Wim C. de Rooy, Pier Siebesma, Peter Baas, Geert Lenderink, Stephan R. de Roode, Hylke de Vries, Erik van Meijgaard, Jan Fokke Meirink, Sander Tijm, and Bram van 't Veen

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Cited articles

Baas, P., de Roode, S. R., and Lenderink, G.: The Scaling Behaviour of a Turbulent Kinetic Energy Closure Model for Stably Stratified Conditions, Bound.-Lay. Meteorol., 127, 17–36, https://doi.org/10.1007/s10546-007-9253-y, 2008. a, b, c
Baas, P., van de Wiel, B. J. H., van der Linden, S. J. A., and Bosveld, F. C.: From Near-Neutral to Strongly Stratified: Adequately Modelling the Clear-Sky Nocturnal Boundary Layer at Cabauw, Bound.-Lay. Meteorol., 166, 217–238, https://doi.org/10.1007/s10546-017-0304-8, 2017. a, b, c, d
Beare, R. J., Macvean, M., Holtslag, A., Cuxart, J., Esau, I., Golaz, J., Jimenez, M., Khairoutdinov, M., Kosovic, B., Lewellen, D., Lund, T., Lundquist, J., Mccabe, A., Moene, A., Noh, Y., Raasch, S., and Sullivan, P.​​​​​​​: An Intercomparison of Large-Eddy Simulations of the Stable Boundary Layer, Bound.-Lay. Meteorol., 118, 247–272, https://doi.org/10.1007/S10546-004-2820-6, 2006. a, b, c, d
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Bechtold, P., Fravalo, C., and Pinty, J.: A Model of Marine Boundary-Layer Cloudiness for Mesoscale Applications, J. Atmos. Sci., 49, 1723–1744, https://doi.org/10.1175/1520-0469(1992)049<1723:AMOMBL>2.0.CO;2, 1992. a, b
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Short summary
This paper describes a comprehensive model update to the boundary layer schemes. Because the involved parameterisations are all built on widely applied frameworks, the here-described modifications are applicable to many NWP and climate models. The model update contains substantial modifications to the cloud, turbulence, and convection schemes and leads to a substantial improvement of several aspects of the model, especially low cloud forecasts.
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