On the benefit of current and future ALPS data for improving Arctic coupled ocean-sea ice state estimation

Author Posting. © The Oceanography Society, 2017. This article is posted here by permission of The Oceanography Society for personal use, not for redistribution. The definitive version was published in Oceanography 30, no. 2 (2017): 69–73, doi:10.5670/oceanog.2017.223. Autonomous and Lagrangian plat...

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Published in:Oceanography
Main Authors: Nguyen, An T., Ocana, Victor, Garg, Vikram, Heimbach, Patrick, Toole, John M., Krishfield, Richard A., Lee, Craig M., Rainville, Luc
Format: Article in Journal/Newspaper
Language:English
Published: Oceanography Society 2017
Subjects:
Online Access:https://hdl.handle.net/1912/9275
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spelling ftwhoas:oai:darchive.mblwhoilibrary.org:1912/9275 2023-05-15T14:48:11+02:00 On the benefit of current and future ALPS data for improving Arctic coupled ocean-sea ice state estimation Nguyen, An T. Ocana, Victor Garg, Vikram Heimbach, Patrick Toole, John M. Krishfield, Richard A. Lee, Craig M. Rainville, Luc 2017-06 https://hdl.handle.net/1912/9275 en_US eng Oceanography Society https://doi.org/10.5670/oceanog.2017.223 Oceanography 30, no. 2 (2017): 69–73 https://hdl.handle.net/1912/9275 doi:10.5670/oceanog.2017.223 Oceanography 30, no. 2 (2017): 69–73 doi:10.5670/oceanog.2017.223 Article 2017 ftwhoas https://doi.org/10.5670/oceanog.2017.223 2022-05-28T23:00:02Z Author Posting. © The Oceanography Society, 2017. This article is posted here by permission of The Oceanography Society for personal use, not for redistribution. The definitive version was published in Oceanography 30, no. 2 (2017): 69–73, doi:10.5670/oceanog.2017.223. Autonomous and Lagrangian platforms and sensors (ALPS) have revolutionized the way the subsurface ocean is observed. The synergy between ALPS-based observations and coupled ocean-sea ice state and parameter estimation as practiced in the Arctic Subpolar gyre sTate Estimate (ASTE) project is illustrated through several examples. In the western Arctic, Ice-Tethered Profilers have been providing important hydrographic constraints of the water column down to 800 m depth since 2004. ASTE takes advantage of these detailed constraints to infer vertical profiles of diapycnal mixing rates in the central Canada Basin. The state estimation framework is also used to explore the potential utility of Argo-type floats in regions with sparse data coverage, such as the eastern Arctic and the seasonal ice zones. Finally, the framework is applied to identify potential deployment sites that optimize the impact of float measurements on bulk oceanographic quantities of interest. This research was supported by NSF Grants PLR-1643339, PLR-1603903, and PLR- 1603660. Article in Journal/Newspaper Arctic canada basin Sea ice Woods Hole Scientific Community: WHOAS (Woods Hole Open Access Server) Arctic Canada Oceanography 30 2 69 73
institution Open Polar
collection Woods Hole Scientific Community: WHOAS (Woods Hole Open Access Server)
op_collection_id ftwhoas
language English
description Author Posting. © The Oceanography Society, 2017. This article is posted here by permission of The Oceanography Society for personal use, not for redistribution. The definitive version was published in Oceanography 30, no. 2 (2017): 69–73, doi:10.5670/oceanog.2017.223. Autonomous and Lagrangian platforms and sensors (ALPS) have revolutionized the way the subsurface ocean is observed. The synergy between ALPS-based observations and coupled ocean-sea ice state and parameter estimation as practiced in the Arctic Subpolar gyre sTate Estimate (ASTE) project is illustrated through several examples. In the western Arctic, Ice-Tethered Profilers have been providing important hydrographic constraints of the water column down to 800 m depth since 2004. ASTE takes advantage of these detailed constraints to infer vertical profiles of diapycnal mixing rates in the central Canada Basin. The state estimation framework is also used to explore the potential utility of Argo-type floats in regions with sparse data coverage, such as the eastern Arctic and the seasonal ice zones. Finally, the framework is applied to identify potential deployment sites that optimize the impact of float measurements on bulk oceanographic quantities of interest. This research was supported by NSF Grants PLR-1643339, PLR-1603903, and PLR- 1603660.
format Article in Journal/Newspaper
author Nguyen, An T.
Ocana, Victor
Garg, Vikram
Heimbach, Patrick
Toole, John M.
Krishfield, Richard A.
Lee, Craig M.
Rainville, Luc
spellingShingle Nguyen, An T.
Ocana, Victor
Garg, Vikram
Heimbach, Patrick
Toole, John M.
Krishfield, Richard A.
Lee, Craig M.
Rainville, Luc
On the benefit of current and future ALPS data for improving Arctic coupled ocean-sea ice state estimation
author_facet Nguyen, An T.
Ocana, Victor
Garg, Vikram
Heimbach, Patrick
Toole, John M.
Krishfield, Richard A.
Lee, Craig M.
Rainville, Luc
author_sort Nguyen, An T.
title On the benefit of current and future ALPS data for improving Arctic coupled ocean-sea ice state estimation
title_short On the benefit of current and future ALPS data for improving Arctic coupled ocean-sea ice state estimation
title_full On the benefit of current and future ALPS data for improving Arctic coupled ocean-sea ice state estimation
title_fullStr On the benefit of current and future ALPS data for improving Arctic coupled ocean-sea ice state estimation
title_full_unstemmed On the benefit of current and future ALPS data for improving Arctic coupled ocean-sea ice state estimation
title_sort on the benefit of current and future alps data for improving arctic coupled ocean-sea ice state estimation
publisher Oceanography Society
publishDate 2017
url https://hdl.handle.net/1912/9275
geographic Arctic
Canada
geographic_facet Arctic
Canada
genre Arctic
canada basin
Sea ice
genre_facet Arctic
canada basin
Sea ice
op_source Oceanography 30, no. 2 (2017): 69–73
doi:10.5670/oceanog.2017.223
op_relation https://doi.org/10.5670/oceanog.2017.223
Oceanography 30, no. 2 (2017): 69–73
https://hdl.handle.net/1912/9275
doi:10.5670/oceanog.2017.223
op_doi https://doi.org/10.5670/oceanog.2017.223
container_title Oceanography
container_volume 30
container_issue 2
container_start_page 69
op_container_end_page 73
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