A Universal Approach for the Non‐Iterative Parametrization of Near‐Surface Turbulent Fluxes in Climate and Weather Prediction Models
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...
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ftsubggeo:oai:e-docs.geo-leo.de:11858/9552 2023-05-15T15:14:54+02:00 A Universal Approach for the Non‐Iterative Parametrization of Near‐Surface Turbulent Fluxes in Climate and Weather Prediction Models Gryanik, V. M. Lüpkes, C. Sidorenko, D. Grachev, A. Gryanik, V. M.; 1 Alfred‐Wegener‐Institut Helmholtz‐Zentrum für Polar‐ und Meeresforschung Bremerhaven Germany Sidorenko, D.; 1 Alfred‐Wegener‐Institut Helmholtz‐Zentrum für Polar‐ und Meeresforschung Bremerhaven Germany Grachev, A.; 3 Boundary Layer Research Team Atmospheric Dynamics & Analytics Branch DEVCOM Army Research Laboratory WSMR Las Cruces NM USA 2021-08-04 https://doi.org/10.1029/2021MS002590 http://resolver.sub.uni-goettingen.de/purl?gldocs-11858/9552 eng eng doi:10.1029/2021MS002590 http://resolver.sub.uni-goettingen.de/purl?gldocs-11858/9552 This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. CC-BY ddc:551.6 transfer coefficients stable surface layer Arctic boundary layer turbulence closure subgridscale processes air‐surface interaction doc-type:article 2021 ftsubggeo https://doi.org/10.1029/2021MS002590 2022-11-09T06:51:40Z 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. Plain Language Summary: Results of weather forecast, present‐day climate simulations, and future climate projections depend among other factors on the interaction between the atmosphere and the underlying sea‐ice, the land, and the ocean. In numerical weather prediction and climate models, some of these interactions are accounted for by transport coefficients describing the turbulent exchange of momentum, heat, and humidity. Currently used transfer coefficients have, however, large uncertainties in flow regimes being typical for cold nights and seasons, but especially in the polar regions. Furthermore, their determination is numerically complex. It is obvious that progress could be achieved when the transfer coefficients would be given by simple mathematical formula in frames of an economic computational scheme. Such a new universal, so‐called non‐iterative parametrization scheme is derived for a package of transfer coefficients. The derivation is based on the Monin‐Obukhov similarity ... Article in Journal/Newspaper Arctic Sea ice GEO-LEOe-docs (FID GEO) Arctic Journal of Advances in Modeling Earth Systems 13 8 |
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Open Polar |
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GEO-LEOe-docs (FID GEO) |
op_collection_id |
ftsubggeo |
language |
English |
topic |
ddc:551.6 transfer coefficients stable surface layer Arctic boundary layer turbulence closure subgridscale processes air‐surface interaction |
spellingShingle |
ddc:551.6 transfer coefficients stable surface layer Arctic boundary layer turbulence closure subgridscale processes air‐surface interaction Gryanik, V. M. Lüpkes, C. Sidorenko, D. Grachev, A. Gryanik, V. M.; 1 Alfred‐Wegener‐Institut Helmholtz‐Zentrum für Polar‐ und Meeresforschung Bremerhaven Germany Sidorenko, D.; 1 Alfred‐Wegener‐Institut Helmholtz‐Zentrum für Polar‐ und Meeresforschung Bremerhaven Germany Grachev, A.; 3 Boundary Layer Research Team Atmospheric Dynamics & Analytics Branch DEVCOM Army Research Laboratory WSMR Las Cruces NM USA A Universal Approach for the Non‐Iterative Parametrization of Near‐Surface Turbulent Fluxes in Climate and Weather Prediction Models |
topic_facet |
ddc:551.6 transfer coefficients stable surface layer Arctic boundary layer turbulence closure subgridscale processes air‐surface interaction |
description |
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. Plain Language Summary: Results of weather forecast, present‐day climate simulations, and future climate projections depend among other factors on the interaction between the atmosphere and the underlying sea‐ice, the land, and the ocean. In numerical weather prediction and climate models, some of these interactions are accounted for by transport coefficients describing the turbulent exchange of momentum, heat, and humidity. Currently used transfer coefficients have, however, large uncertainties in flow regimes being typical for cold nights and seasons, but especially in the polar regions. Furthermore, their determination is numerically complex. It is obvious that progress could be achieved when the transfer coefficients would be given by simple mathematical formula in frames of an economic computational scheme. Such a new universal, so‐called non‐iterative parametrization scheme is derived for a package of transfer coefficients. The derivation is based on the Monin‐Obukhov similarity ... |
format |
Article in Journal/Newspaper |
author |
Gryanik, V. M. Lüpkes, C. Sidorenko, D. Grachev, A. Gryanik, V. M.; 1 Alfred‐Wegener‐Institut Helmholtz‐Zentrum für Polar‐ und Meeresforschung Bremerhaven Germany Sidorenko, D.; 1 Alfred‐Wegener‐Institut Helmholtz‐Zentrum für Polar‐ und Meeresforschung Bremerhaven Germany Grachev, A.; 3 Boundary Layer Research Team Atmospheric Dynamics & Analytics Branch DEVCOM Army Research Laboratory WSMR Las Cruces NM USA |
author_facet |
Gryanik, V. M. Lüpkes, C. Sidorenko, D. Grachev, A. Gryanik, V. M.; 1 Alfred‐Wegener‐Institut Helmholtz‐Zentrum für Polar‐ und Meeresforschung Bremerhaven Germany Sidorenko, D.; 1 Alfred‐Wegener‐Institut Helmholtz‐Zentrum für Polar‐ und Meeresforschung Bremerhaven Germany Grachev, A.; 3 Boundary Layer Research Team Atmospheric Dynamics & Analytics Branch DEVCOM Army Research Laboratory WSMR Las Cruces NM USA |
author_sort |
Gryanik, V. M. |
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 |
publishDate |
2021 |
url |
https://doi.org/10.1029/2021MS002590 http://resolver.sub.uni-goettingen.de/purl?gldocs-11858/9552 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic Sea ice |
genre_facet |
Arctic Sea ice |
op_relation |
doi:10.1029/2021MS002590 http://resolver.sub.uni-goettingen.de/purl?gldocs-11858/9552 |
op_rights |
This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.1029/2021MS002590 |
container_title |
Journal of Advances in Modeling Earth Systems |
container_volume |
13 |
container_issue |
8 |
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1766345297638719488 |