Predictive Understanding of the Oceans' Wind-Driven Circulation on Interdecadal Time Scales
The goal of this project was to obtain a predictive understanding of a major component of the climate system’s interdecadal variability: the oceans’ wind-driven circulation. To do so, we developed and applied advanced computational and statistical methods to the problem of climate variability an...
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ftunivnotexas:info:ark/67531/metadc893367 2023-05-15T17:30:50+02:00 Predictive Understanding of the Oceans' Wind-Driven Circulation on Interdecadal Time Scales Michael Ghil, P.I., Dept. of Atmospheric & Oceanic Sciences and IGPP, UCLA Roger Temam, Co-P.I., Dept. of Mathematics, Indiana University Y. Feliks, IIBR E. Simonnet, INLN and T.Tachim-Medjo, FIU, collaborators United States. Department of Energy. Office of Energy Research. 2008-09-30 210KB Text https://doi.org/10.2172/940175 https://digital.library.unt.edu/ark:/67531/metadc893367/ English eng UCLA grantno: FG02-01ER63251 doi:10.2172/940175 osti: 940175 https://digital.library.unt.edu/ark:/67531/metadc893367/ ark: ark:/67531/metadc893367 58 Geosciences Climate Change Natural Variability Prediction Oceans Mid-Latitude Climate Ocean-Atmosphere Interaction North Atlantic Oscillation Climate Change Report 2008 ftunivnotexas https://doi.org/10.2172/940175 2019-07-13T22:07:59Z The goal of this project was to obtain a predictive understanding of a major component of the climate system’s interdecadal variability: the oceans’ wind-driven circulation. To do so, we developed and applied advanced computational and statistical methods to the problem of climate variability and climate change. The methodology was developed first for models of intermediate complexity, such as the quasi-geostrophic and the primitive equations, which describe the wind-driven, near-surface flow in mid-latitude ocean basins. Our computational work consisted in developing efficient multi-level methods to simulate this flow and study its dependence on physically relevant parameters. Our oceanographic and climate work consisted in applying these methods to study the bifurcations in the wind-driven circulation and their relevance to the flows observed at present and those that might occur in a warmer climate. Both aspects of the work are crucial for the efficient treatment of large-scale, eddy-resolving numerical simulations of the oceans and an increased understanding and better prediction of climate change. Considerable progress has been achieved in understanding ocean-atmosphere interaction in the mid-latitudes. An important by-product of this research is a novel approach to explaining the North Atlantic Oscillation. Report North Atlantic North Atlantic oscillation University of North Texas: UNT Digital Library |
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University of North Texas: UNT Digital Library |
op_collection_id |
ftunivnotexas |
language |
English |
topic |
58 Geosciences Climate Change Natural Variability Prediction Oceans Mid-Latitude Climate Ocean-Atmosphere Interaction North Atlantic Oscillation Climate Change |
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58 Geosciences Climate Change Natural Variability Prediction Oceans Mid-Latitude Climate Ocean-Atmosphere Interaction North Atlantic Oscillation Climate Change Michael Ghil, P.I., Dept. of Atmospheric & Oceanic Sciences and IGPP, UCLA Roger Temam, Co-P.I., Dept. of Mathematics, Indiana University Y. Feliks, IIBR E. Simonnet, INLN and T.Tachim-Medjo, FIU, collaborators Predictive Understanding of the Oceans' Wind-Driven Circulation on Interdecadal Time Scales |
topic_facet |
58 Geosciences Climate Change Natural Variability Prediction Oceans Mid-Latitude Climate Ocean-Atmosphere Interaction North Atlantic Oscillation Climate Change |
description |
The goal of this project was to obtain a predictive understanding of a major component of the climate system’s interdecadal variability: the oceans’ wind-driven circulation. To do so, we developed and applied advanced computational and statistical methods to the problem of climate variability and climate change. The methodology was developed first for models of intermediate complexity, such as the quasi-geostrophic and the primitive equations, which describe the wind-driven, near-surface flow in mid-latitude ocean basins. Our computational work consisted in developing efficient multi-level methods to simulate this flow and study its dependence on physically relevant parameters. Our oceanographic and climate work consisted in applying these methods to study the bifurcations in the wind-driven circulation and their relevance to the flows observed at present and those that might occur in a warmer climate. Both aspects of the work are crucial for the efficient treatment of large-scale, eddy-resolving numerical simulations of the oceans and an increased understanding and better prediction of climate change. Considerable progress has been achieved in understanding ocean-atmosphere interaction in the mid-latitudes. An important by-product of this research is a novel approach to explaining the North Atlantic Oscillation. |
author2 |
United States. Department of Energy. Office of Energy Research. |
format |
Report |
author |
Michael Ghil, P.I., Dept. of Atmospheric & Oceanic Sciences and IGPP, UCLA Roger Temam, Co-P.I., Dept. of Mathematics, Indiana University Y. Feliks, IIBR E. Simonnet, INLN and T.Tachim-Medjo, FIU, collaborators |
author_facet |
Michael Ghil, P.I., Dept. of Atmospheric & Oceanic Sciences and IGPP, UCLA Roger Temam, Co-P.I., Dept. of Mathematics, Indiana University Y. Feliks, IIBR E. Simonnet, INLN and T.Tachim-Medjo, FIU, collaborators |
author_sort |
Michael Ghil, P.I., Dept. of Atmospheric & Oceanic Sciences and IGPP, UCLA |
title |
Predictive Understanding of the Oceans' Wind-Driven Circulation on Interdecadal Time Scales |
title_short |
Predictive Understanding of the Oceans' Wind-Driven Circulation on Interdecadal Time Scales |
title_full |
Predictive Understanding of the Oceans' Wind-Driven Circulation on Interdecadal Time Scales |
title_fullStr |
Predictive Understanding of the Oceans' Wind-Driven Circulation on Interdecadal Time Scales |
title_full_unstemmed |
Predictive Understanding of the Oceans' Wind-Driven Circulation on Interdecadal Time Scales |
title_sort |
predictive understanding of the oceans' wind-driven circulation on interdecadal time scales |
publisher |
UCLA |
publishDate |
2008 |
url |
https://doi.org/10.2172/940175 https://digital.library.unt.edu/ark:/67531/metadc893367/ |
genre |
North Atlantic North Atlantic oscillation |
genre_facet |
North Atlantic North Atlantic oscillation |
op_relation |
grantno: FG02-01ER63251 doi:10.2172/940175 osti: 940175 https://digital.library.unt.edu/ark:/67531/metadc893367/ ark: ark:/67531/metadc893367 |
op_doi |
https://doi.org/10.2172/940175 |
_version_ |
1766127945361915904 |