The seasonally varying ventilation of the ocean: a model-data synthesis

This dissertation is a study of the climatological mean seasonal cycle of the ventilation of the ocean. Firstly, I have developed a computationally efficient 4-D variational assimilation system, called CYCLOCIM. It assimilates monthly mean temperature and salinity data from the World Ocean Atlas, tr...

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Main Author: Huang, Qian
Other Authors: Primeau, François
Format: Other/Unknown Material
Language:English
Published: eScholarship, University of California 2019
Subjects:
Online Access:https://escholarship.org/uc/item/0q26d55p
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spelling ftcdlib:oai:escholarship.org/ark:/13030/qt0q26d55p 2023-05-15T17:13:55+02:00 The seasonally varying ventilation of the ocean: a model-data synthesis Huang, Qian Primeau, François 2019-01-01 application/pdf https://escholarship.org/uc/item/0q26d55p en eng eScholarship, University of California qt0q26d55p https://escholarship.org/uc/item/0q26d55p public Physical oceanography etd 2019 ftcdlib 2020-04-17T22:54:27Z This dissertation is a study of the climatological mean seasonal cycle of the ventilation of the ocean. Firstly, I have developed a computationally efficient 4-D variational assimilation system, called CYCLOCIM. It assimilates monthly mean temperature and salinity data from the World Ocean Atlas, transient CFC-11 and CFC-12, and natural radiocarbon measurements for the deep ocean from the GLODAPv2 database. CYCLOCIM is a new variational assimilation system that is specifically designed for the problem of estimating the climatological seasonal cycle of the residual mean circulation. I independently obtain the modeled overturning circulation, and the meridional heat and fresh water transport that largely agree with existing studies. Moreover, CYCLOCIM improves the model fit to the observation in the upper ocean compared to previous studies that ignored the seasonal cycle. The main product of the assimilation system is a set of 12 monthly data-constrained of tracer transport operators. I then calculate transit-time distribution (TTD) using the monthly transport operators to quantify ``Stommel's demon'', that is, the seasonality of the ventilation in the main thermocline. The study provides an accurate estimate of effective subduction and obduction months and maps of the water fraction in the main thermocline was last transported from or will be first transported back to the surface. For example, subduction occurs mainly in the Southern Ocean (64%), which lasts from June to November and peaks in September (21%) and October (20%). Moreover, the subduction happens in the North Pacific (12%) and the North Atlantic (16%), which lasts from January to April and peaks in March (15%). Obduction occurs mainly in ACC region (48%), which starts from April to November and peaks in August. The upwelling regions of the tropical ocean is the secondary primary obduction region, which upwell 35% of the water back to surface and lasts the whole year. Furthermore, I have applied the TTD method to estimate the ventilation of the deep water masses. The formation of NADW, AABW, PDW, IDW occurs mainly in the surface of the Southern Ocean (respectively, 15%, 69%, 56% and 53%) and the Atlantic Ocean (respectively, 84%, 39%, 37% and 41%) during winter and spring in both hemisphere. Other/Unknown Material NADW North Atlantic Southern Ocean University of California: eScholarship Pacific Southern Ocean
institution Open Polar
collection University of California: eScholarship
op_collection_id ftcdlib
language English
topic Physical oceanography
spellingShingle Physical oceanography
Huang, Qian
The seasonally varying ventilation of the ocean: a model-data synthesis
topic_facet Physical oceanography
description This dissertation is a study of the climatological mean seasonal cycle of the ventilation of the ocean. Firstly, I have developed a computationally efficient 4-D variational assimilation system, called CYCLOCIM. It assimilates monthly mean temperature and salinity data from the World Ocean Atlas, transient CFC-11 and CFC-12, and natural radiocarbon measurements for the deep ocean from the GLODAPv2 database. CYCLOCIM is a new variational assimilation system that is specifically designed for the problem of estimating the climatological seasonal cycle of the residual mean circulation. I independently obtain the modeled overturning circulation, and the meridional heat and fresh water transport that largely agree with existing studies. Moreover, CYCLOCIM improves the model fit to the observation in the upper ocean compared to previous studies that ignored the seasonal cycle. The main product of the assimilation system is a set of 12 monthly data-constrained of tracer transport operators. I then calculate transit-time distribution (TTD) using the monthly transport operators to quantify ``Stommel's demon'', that is, the seasonality of the ventilation in the main thermocline. The study provides an accurate estimate of effective subduction and obduction months and maps of the water fraction in the main thermocline was last transported from or will be first transported back to the surface. For example, subduction occurs mainly in the Southern Ocean (64%), which lasts from June to November and peaks in September (21%) and October (20%). Moreover, the subduction happens in the North Pacific (12%) and the North Atlantic (16%), which lasts from January to April and peaks in March (15%). Obduction occurs mainly in ACC region (48%), which starts from April to November and peaks in August. The upwelling regions of the tropical ocean is the secondary primary obduction region, which upwell 35% of the water back to surface and lasts the whole year. Furthermore, I have applied the TTD method to estimate the ventilation of the deep water masses. The formation of NADW, AABW, PDW, IDW occurs mainly in the surface of the Southern Ocean (respectively, 15%, 69%, 56% and 53%) and the Atlantic Ocean (respectively, 84%, 39%, 37% and 41%) during winter and spring in both hemisphere.
author2 Primeau, François
format Other/Unknown Material
author Huang, Qian
author_facet Huang, Qian
author_sort Huang, Qian
title The seasonally varying ventilation of the ocean: a model-data synthesis
title_short The seasonally varying ventilation of the ocean: a model-data synthesis
title_full The seasonally varying ventilation of the ocean: a model-data synthesis
title_fullStr The seasonally varying ventilation of the ocean: a model-data synthesis
title_full_unstemmed The seasonally varying ventilation of the ocean: a model-data synthesis
title_sort seasonally varying ventilation of the ocean: a model-data synthesis
publisher eScholarship, University of California
publishDate 2019
url https://escholarship.org/uc/item/0q26d55p
geographic Pacific
Southern Ocean
geographic_facet Pacific
Southern Ocean
genre NADW
North Atlantic
Southern Ocean
genre_facet NADW
North Atlantic
Southern Ocean
op_relation qt0q26d55p
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