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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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 |
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Open Polar |
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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 https://escholarship.org/uc/item/0q26d55p |
op_rights |
public |
_version_ |
1766071123537035264 |