Stochastic schemes for the perturbation of the atmospheric boundary conditions in ocean general circulation models

Advancing the representation of uncertainties in ocean general circulation numerical models is required for several applications, ranging from data assimilation to climate monitoring and extended-range prediction systems. The atmospheric forcing represents one of the main uncertainty sources in nume...

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Published in:Frontiers in Marine Science
Main Authors: Andrea Storto, Chunxue Yang
Format: Article in Journal/Newspaper
Language:English
Published: Frontiers Media S.A. 2023
Subjects:
Q
Online Access:https://doi.org/10.3389/fmars.2023.1155803
https://doaj.org/article/1193439d710a44a9a9e3bd1ed7335231
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spelling ftdoajarticles:oai:doaj.org/article:1193439d710a44a9a9e3bd1ed7335231 2023-05-15T15:13:28+02:00 Stochastic schemes for the perturbation of the atmospheric boundary conditions in ocean general circulation models Andrea Storto Chunxue Yang 2023-03-01T00:00:00Z https://doi.org/10.3389/fmars.2023.1155803 https://doaj.org/article/1193439d710a44a9a9e3bd1ed7335231 EN eng Frontiers Media S.A. https://www.frontiersin.org/articles/10.3389/fmars.2023.1155803/full https://doaj.org/toc/2296-7745 2296-7745 doi:10.3389/fmars.2023.1155803 https://doaj.org/article/1193439d710a44a9a9e3bd1ed7335231 Frontiers in Marine Science, Vol 10 (2023) air-sea fluxes ensemble generation stochastic physics bulk formulas ocean simulations Science Q General. Including nature conservation geographical distribution QH1-199.5 article 2023 ftdoajarticles https://doi.org/10.3389/fmars.2023.1155803 2023-03-26T01:36:23Z Advancing the representation of uncertainties in ocean general circulation numerical models is required for several applications, ranging from data assimilation to climate monitoring and extended-range prediction systems. The atmospheric forcing represents one of the main uncertainty sources in numerical ocean models. Here, we formulate and revise different approaches to perturb the air-sea fluxes used within the atmospheric boundary conditions. In particular, perturbation of the fluxes is performed either through i) stochastic modulation of the air-sea transfer coefficients; ii) stochastic modulation of the air-sea flux tendencies; iii) coarse-graining of stochastic sub-grid computation of the fluxes; or iv) multiple bulk formulas. The schemes are implemented and tested in the NEMO4 ocean model, implemented at an eddy-permitting resolution on a domain covering the North Atlantic and Arctic oceans and the Mediterranean Sea. A series of 22-year 4-member ensemble experiments with different stochastic schemes are performed and analyzed for the period 2000-2021, and results are compared in terms of the ensemble mean and, when applicable, ensemble spread of the principal oceanic diagnostics. Results indicate that the schemes, in general, can significantly improve some verification skill scores (e.g. against drifter current speed, SST analyses, and hydrographic profiles) and, in some cases, enhance the mesoscale activity and weaken the large-scale circulation. The response, however, is different depending on the specific scheme, whose choice thus depends on the target application, as detailed in the paper. These findings foster the adoption of these schemes in both extended-range operational ocean forecasts and coupled long-range climate prediction systems, where the boundary conditions perturbations may contribute to performance increases. Article in Journal/Newspaper Arctic North Atlantic Directory of Open Access Journals: DOAJ Articles Arctic Frontiers in Marine Science 10
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic air-sea fluxes
ensemble generation
stochastic physics
bulk formulas
ocean simulations
Science
Q
General. Including nature conservation
geographical distribution
QH1-199.5
spellingShingle air-sea fluxes
ensemble generation
stochastic physics
bulk formulas
ocean simulations
Science
Q
General. Including nature conservation
geographical distribution
QH1-199.5
Andrea Storto
Chunxue Yang
Stochastic schemes for the perturbation of the atmospheric boundary conditions in ocean general circulation models
topic_facet air-sea fluxes
ensemble generation
stochastic physics
bulk formulas
ocean simulations
Science
Q
General. Including nature conservation
geographical distribution
QH1-199.5
description Advancing the representation of uncertainties in ocean general circulation numerical models is required for several applications, ranging from data assimilation to climate monitoring and extended-range prediction systems. The atmospheric forcing represents one of the main uncertainty sources in numerical ocean models. Here, we formulate and revise different approaches to perturb the air-sea fluxes used within the atmospheric boundary conditions. In particular, perturbation of the fluxes is performed either through i) stochastic modulation of the air-sea transfer coefficients; ii) stochastic modulation of the air-sea flux tendencies; iii) coarse-graining of stochastic sub-grid computation of the fluxes; or iv) multiple bulk formulas. The schemes are implemented and tested in the NEMO4 ocean model, implemented at an eddy-permitting resolution on a domain covering the North Atlantic and Arctic oceans and the Mediterranean Sea. A series of 22-year 4-member ensemble experiments with different stochastic schemes are performed and analyzed for the period 2000-2021, and results are compared in terms of the ensemble mean and, when applicable, ensemble spread of the principal oceanic diagnostics. Results indicate that the schemes, in general, can significantly improve some verification skill scores (e.g. against drifter current speed, SST analyses, and hydrographic profiles) and, in some cases, enhance the mesoscale activity and weaken the large-scale circulation. The response, however, is different depending on the specific scheme, whose choice thus depends on the target application, as detailed in the paper. These findings foster the adoption of these schemes in both extended-range operational ocean forecasts and coupled long-range climate prediction systems, where the boundary conditions perturbations may contribute to performance increases.
format Article in Journal/Newspaper
author Andrea Storto
Chunxue Yang
author_facet Andrea Storto
Chunxue Yang
author_sort Andrea Storto
title Stochastic schemes for the perturbation of the atmospheric boundary conditions in ocean general circulation models
title_short Stochastic schemes for the perturbation of the atmospheric boundary conditions in ocean general circulation models
title_full Stochastic schemes for the perturbation of the atmospheric boundary conditions in ocean general circulation models
title_fullStr Stochastic schemes for the perturbation of the atmospheric boundary conditions in ocean general circulation models
title_full_unstemmed Stochastic schemes for the perturbation of the atmospheric boundary conditions in ocean general circulation models
title_sort stochastic schemes for the perturbation of the atmospheric boundary conditions in ocean general circulation models
publisher Frontiers Media S.A.
publishDate 2023
url https://doi.org/10.3389/fmars.2023.1155803
https://doaj.org/article/1193439d710a44a9a9e3bd1ed7335231
geographic Arctic
geographic_facet Arctic
genre Arctic
North Atlantic
genre_facet Arctic
North Atlantic
op_source Frontiers in Marine Science, Vol 10 (2023)
op_relation https://www.frontiersin.org/articles/10.3389/fmars.2023.1155803/full
https://doaj.org/toc/2296-7745
2296-7745
doi:10.3389/fmars.2023.1155803
https://doaj.org/article/1193439d710a44a9a9e3bd1ed7335231
op_doi https://doi.org/10.3389/fmars.2023.1155803
container_title Frontiers in Marine Science
container_volume 10
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