A Universal Approach for the Non‐Iterative Parametrization of Near‐Surface Turbulent Fluxes in Climate and Weather Prediction Models

Abstract Weather prediction and climate simulations need reliable parameterizations of turbulent fluxes in the stable surface layer. Especially in these conditions, the uncertainties of such parametrizations are still large. Most of them rely on the Monin‐Obukhov similarity theory (MOST), for which...

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Autores principales:	V. M. Gryanik, C. Lüpkes, D. Sidorenko, A. Grachev
Formato:	article
Lenguaje:	EN
Publicado:	American Geophysical Union (AGU) 2021
Materias:	transfer coefficients stable surface layer Arctic boundary layer turbulence closure subgridscale processes air‐surface interaction Physical geography GB3-5030 Oceanography GC1-1581
Acceso en línea:	https://doaj.org/article/94eec5910f05480bb73c23a7a3990f6f
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spelling	oai:doaj.org-article:94eec5910f05480bb73c23a7a3990f6f2021-11-12T07:13:23ZA Universal Approach for the Non‐Iterative Parametrization of Near‐Surface Turbulent Fluxes in Climate and Weather Prediction Models1942-246610.1029/2021MS002590https://doaj.org/article/94eec5910f05480bb73c23a7a3990f6f2021-08-01T00:00:00Zhttps://doi.org/10.1029/2021MS002590https://doaj.org/toc/1942-2466Abstract Weather prediction and climate simulations need reliable parameterizations of turbulent fluxes in the stable surface layer. Especially in these conditions, the uncertainties of such parametrizations are still large. Most of them rely on the Monin‐Obukhov similarity theory (MOST), for which universal stability functions (SFs) represent important ingredients. The SFs are nonlinear, if so, a numerical iteration of the MOST equations is required. Moreover, presently available SFs are significantly different at large stability. To simplify the calculations, a non‐iterative parametrization of fluxes is derived and corresponding bulk transfer coefficients for momentum and heat for a package of five pairs of state‐of‐the‐art SFs are proposed. For the first time, a parametrization of the related transfer coefficients is derived in a universal framework for all package members. The new parametrizations provide a basis for a cheap systematic study of the impact of surface layer turbulent fluxes in weather prediction and climate models.V. M. GryanikC. LüpkesD. SidorenkoA. GrachevAmerican Geophysical Union (AGU)articletransfer coefficientsstable surface layerArctic boundary layerturbulence closuresubgridscale processesair‐surface interactionPhysical geographyGB3-5030OceanographyGC1-1581ENJournal of Advances in Modeling Earth Systems, Vol 13, Iss 8, Pp n/a-n/a (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	transfer coefficients stable surface layer Arctic boundary layer turbulence closure subgridscale processes air‐surface interaction Physical geography GB3-5030 Oceanography GC1-1581
spellingShingle	transfer coefficients stable surface layer Arctic boundary layer turbulence closure subgridscale processes air‐surface interaction Physical geography GB3-5030 Oceanography GC1-1581 V. M. Gryanik C. Lüpkes D. Sidorenko A. Grachev A Universal Approach for the Non‐Iterative Parametrization of Near‐Surface Turbulent Fluxes in Climate and Weather Prediction Models
description	Abstract Weather prediction and climate simulations need reliable parameterizations of turbulent fluxes in the stable surface layer. Especially in these conditions, the uncertainties of such parametrizations are still large. Most of them rely on the Monin‐Obukhov similarity theory (MOST), for which universal stability functions (SFs) represent important ingredients. The SFs are nonlinear, if so, a numerical iteration of the MOST equations is required. Moreover, presently available SFs are significantly different at large stability. To simplify the calculations, a non‐iterative parametrization of fluxes is derived and corresponding bulk transfer coefficients for momentum and heat for a package of five pairs of state‐of‐the‐art SFs are proposed. For the first time, a parametrization of the related transfer coefficients is derived in a universal framework for all package members. The new parametrizations provide a basis for a cheap systematic study of the impact of surface layer turbulent fluxes in weather prediction and climate models.
format	article
author	V. M. Gryanik C. Lüpkes D. Sidorenko A. Grachev
author_facet	V. M. Gryanik C. Lüpkes D. Sidorenko A. Grachev
author_sort	V. M. Gryanik
title	A Universal Approach for the Non‐Iterative Parametrization of Near‐Surface Turbulent Fluxes in Climate and Weather Prediction Models
title_short	A Universal Approach for the Non‐Iterative Parametrization of Near‐Surface Turbulent Fluxes in Climate and Weather Prediction Models
title_full	A Universal Approach for the Non‐Iterative Parametrization of Near‐Surface Turbulent Fluxes in Climate and Weather Prediction Models
title_fullStr	A Universal Approach for the Non‐Iterative Parametrization of Near‐Surface Turbulent Fluxes in Climate and Weather Prediction Models
title_full_unstemmed	A Universal Approach for the Non‐Iterative Parametrization of Near‐Surface Turbulent Fluxes in Climate and Weather Prediction Models
title_sort	universal approach for the non‐iterative parametrization of near‐surface turbulent fluxes in climate and weather prediction models
publisher	American Geophysical Union (AGU)
publishDate	2021
url	https://doaj.org/article/94eec5910f05480bb73c23a7a3990f6f
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A Universal Approach for the Non‐Iterative Parametrization of Near‐Surface Turbulent Fluxes in Climate and Weather Prediction Models

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